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Putting Data to Work: Building Public-Private Partnerships to Increase Resilience & Enhance the Socioeconomic Value of Data. Register at the early-bird rate by 12/6!

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Monday, January 6
 

9:00am

ESIP and OGC Coverage Processing and Analysis Sprint Day 1
The Earth Science Information Partners (ESIP) and the Open Geospatial Consortium (OGC) are convening an agile development sprint to advance APIs for analytics on coverages, arrays, and gridded data. This will be a key event in the development of OGC APIs for geospatial resources and building blocks for community APIs. The event will be co-located with the 2020 ESIP Winter Meeting, which draws Earth Science data and information professionals from across the public, private, and academic sectors. A previous OGC API Hackathon in June 2019 advanced common elements across OGC APIs for Features, Coverages, Map Tiles, Processing and Catalogs. The next sprints are advancing specific elements of the individual APIs.
Please note this is a 2-day event (1/6/20-1/7/20).

A limited amount of travel support is available. Please complete this form to apply.
________
AGENDA draft will be updated

Monday, January 6
  • 9 - 10 am: Opening Session (George and Annie)
    • Welcome, Overview of Use Cases & Specs, Team Formation, Schedule
  • 10 - 12pm: 
    • Coverages (Stephan & Peter), Processes (TBD), Common (Chuck)
    • Use Cases (David, Ethan, and Chris)
  • 12 - 1pm: Lunch on your own 
  • 1 - 3:30pm: Group Reporting and Discissions
  • 3:30 - 5pm:  Use Case Groups and End of day discussion of full group; updates of days results.

Tuesday, January 7
  • 9 to 9:30: Morning coordination in plenary: plan for the day
  • 9:30 - 12:00: Interoperability Testing
  • Lunch as part of ESIP meeting
  • 1 - 3:30pm Populate Slides for full Report out
  • 4 - 5pm Concluding Session: Demos and reports from use case development; API Specification Updates; Next Steps
Wed-Thurs, January 8-9
  • Participate in ESIP Meeting.
  • Open spaces in hotel for some continued Sprint Discussions
  • ESIP sessions have been proposed on related topics; encourage coordination. 

How to Prepare: https://github.com/opengeospatial/CoverageProcessAnalytics/blob/master/README.md

Speakers
avatar for George Percivall

George Percivall

CTO, Chief Engineer, Open Geospatial Consortium
As CTO and Chief Engineer of the Open Geospatial Consortium (OGC), George Percivall is responsible for the OGC Interoperability Program and the OGC Compliance Program. His roles include articulating OGC standards as a coherent architecture, as well as addressing implications of technology... Read More →


Monday January 6, 2020 9:00am - 5:00pm
TBA

4:00pm

Council of Data Facilities General Assembly Meeting
The Council of Data Facilities (CDF) is committed to working with relevant agencies, professional associations, initiatives, and other complementary efforts to enable transformational science, innovative education, and informed public policy through increased coordination, collaboration, and innovation in the acquisition, curation, preservation, and dissemination of geoscience data, tools, models, and services. Existing and emerging geoscience data facilities – through the Council – are committed to serving as an effective foundation for EarthCube. The General Assembly meeting is open to the official representatives from all member data facilities, additional member organization personnel as desired by the members, as well as observers. How to Prepare for this Session:

Speakers
avatar for Jessica Hausman

Jessica Hausman

Data Engineer, PO.DAAC JPL


Monday January 6, 2020 4:00pm - 6:00pm
Glen Echo
 
Tuesday, January 7
 

8:30am

Meeting Overview & Plenary
Speakers
avatar for Karl Benedict

Karl Benedict

Director of Research Data Services & Information Technology, University of New Mexico
For over 33 years Karl Benedict has had parallel careers in Information Technology, Data Management and Analysis, and Archaeology. Since 1993 when he arrived at UNM he has worked as a Graduate Student in Anthropology, Research Scientist, Research Faculty, Applied Research Center Director... Read More →
avatar for Erin Robinson

Erin Robinson

Executive Director, ESIP
I work at the intersection of community informatics, Earth science and non-profit management. Over more than 10 years, I’ve honed an eclectic skill set both technical and managerial, creating communities and programs with lasting impact around science, data, and technology.
avatar for Christy Monaco

Christy Monaco

Chief Ventures Officer, National Geospatial-Intelligence Agency
Ms. Christina Monaco joined the National Geospatial-Intelligence Agency (NGA) in April 2013 and since October of 2017 has served as NGAs Chief Ventures Officer. Director of NGA’s Corporate Assessment and Program Evaluation Office. In this role, she coordinates NGAs innovation initiatives with... Read More →
avatar for Paco Nathan

Paco Nathan

Managing Partner, Derwen, Inc.
Known as a "player/coach", with core expertise in data science, natural language, machine learning, cloud computing; 35+ years tech industry experience, ranging from Bell Labs to early-stage start-ups. Co-chair for Rev conference, former co-chair for JupyterCon. Advisor for NYU Coleridge... Read More →
avatar for Nadine Alameh

Nadine Alameh

CEO, Open Geospatial Consortium
Dr. Nadine Alameh is the recently appointed CEO of the Open Geospatial Consortium (OGC), an international organization dedicated to making Location information Findable, Accessible, Interoperable and Reusable (FAIR) via a process that combines consensus-based standards, collaborative... Read More →


Tuesday January 7, 2020 8:30am - 10:30am
Salon A-C

9:00am

ESIP and OGC Coverage Processing and Analysis Sprint Day 2
The Earth Science Information Partners (ESIP) and the Open Geospatial Consortium (OGC) are convening an agile development sprint to advance APIs for analytics on coverages, arrays and gridded data. This will be a key event in the development of OGC APIs for geospatial resources and building blocks for community APIs. The event will be co-located with the 2020 ESIP Winter Meeting, which draws Earth Science data and information professionals from across the public, private, and academic sectors. A previous OGC API Hackathon in June 2019 advanced common elements across OGC APIs for Features, Coverages, Map Tiles, Processing and Catalogs. The next sprints are advancing specific elements of the individual APIs.
Please note this is a 2-day event (1/6/20-1/7/20).

A limited amount of travel support is available. Please complete this form to apply.

________
AGENDA - draft will be updated

Monday, January 6 
  • 9 to 10: Opening Session of entire group
  • 10 to 4:30  Development in groups based on use cases
  • Lunch on your own 
  • 4:30 to 5:  End of day discussion of full group; updates of days results.
Tuesday, January 7
  • 9 to 9:30: Morning coordination in plenary: plan for the day
  • Developer groups: use case interoperability testing
  • Lunch as part of ESIP meeting
  • 4 pm Concluding Session: Demos and reports from use case development; API Specification Updates; Next Steps
Wed-Thurs, January 8-9 
  • Participate in ESIP Meeting.
  • Open spaces in hotel for some continued Sprint Discussions
  • ESIP essions  have been proposed on related topics; encourage coordination.

Speakers
avatar for George Percivall

George Percivall

CTO, Chief Engineer, Open Geospatial Consortium
As CTO and Chief Engineer of the Open Geospatial Consortium (OGC), George Percivall is responsible for the OGC Interoperability Program and the OGC Compliance Program. His roles include articulating OGC standards as a coherent architecture, as well as addressing implications of technology... Read More →


Tuesday January 7, 2020 9:00am - 5:00pm
TBA

10:30am

Networking Break
Tuesday January 7, 2020 10:30am - 11:00am
Salon A-C Foyer

11:00am

FAIR Metadata Recommendations
We will discuss the FAIR metadata recommendations that were introduced at the ESIP Summer Meeting. How to Prepare for this Session: Use git repository introduced last summer

Speakers
avatar for Ted Habermann

Ted Habermann

Owner, Metadata Game Changers
I am interested in all facets of metadata needed to discover, access, use, and understand data of any kind. Also evaluation and improvement of metadata collections, translation proofing. Ask me about the Metadata Game.


Tuesday January 7, 2020 11:00am - 12:30pm
Forest Glen

11:00am

Analytic Centers for Air Quality
The Analytic Center Framework (ACF) is a concept to support scientific investigations with a harmonized collection of data from a wide range of sources and vantage points, tools and computational resources. Four recent NASA AIST competitive awards are focused on either ACFs or components which could feed into AQ ACF's. Previous projects have developed tools and improved the accessibility and usability of data for Air Quality analysis, and have tried to address issues related to inconsistent metadata, uncertainty quantification, interoperability among tools and computing resources and visualization to aid scientific investigation or applications. The format for this meeting will be a series of brief presentati.ons by invited speakers followed by a discussion. This generally follows the panel model How to Prepare for this Session: A link to a set of pre-read materials will be provided.


Tuesday January 7, 2020 11:00am - 12:30pm
Glen Echo

11:00am

Creating a Data at Risk Commons at DataAtRisk.org
Several professional organizations have become increasingly concerned about the loss of reusable data from primary sources such as individual researchers, projects, and agencies. DataAtRisk.org aims to connect people with data in need, to data expertise, and is a response to the clear need for a community building application. This “Data at Risk” commons will allow individuals to submit and request help with threatened datasets and connect these datasets to experts who can provide resources and skills to help rescue data through a secure, professional mechanism to facilitate self-identification and discovery. This session will provide an overview of the current status of the DataAtRisk.org project, and aims to expand the network of individuals involved in the development and implementation of DataAtRisk.org How to Prepare for this Session: Please check out https://dataatrisk.org/ for some background on the activities

Speakers
avatar for Denise Hills

Denise Hills

Director, Energy Investigations, Geological Survey of Alabama
Long tail data, data preservation, connecting physical samples to digital information, geoscience policy, science communication


Tuesday January 7, 2020 11:00am - 12:30pm
Linden Oak

11:00am

Public-Private Partnerships for Earth Observations
The National Land Imaging Program is interested in investigating public-private partnerships including "how might these partnerships work" and "how would the data be used". For example, would a public-private partnership allow a sufficient business case for Landsat and what would that look like? What legal changes are required to support exploration of the creation of public-private partnerships? This session idea is supported by the recent Landsat Advisory Group (LAG) report (https://www.fgdc.gov/ngac/meetings/june-2019/ngac-paper-evaluation-of-a-range-of-landsat-data.pdf) that indicated "LAG recommends further research on the viability of a PPP model for Landsat. Such research should include dialogue with industry as early as possible to make sure its concerns are considered". Would a public-private partnership increase engagement and support the use and impact of EO data? How to Prepare for this Session:


Tuesday January 7, 2020 11:00am - 12:30pm
Salon A

11:00am

Interoperability of geospatial data with STAC
SpatioTemporal Asset Catalogs is an emerging specification of a common metadata model for geospatial data, and a way to make data catalogs indexable and searchable. We have already seen STAC being adopted for both public data and commercial data. Catalogs exist for several AWS Public Datasets, Landsat Collection 2 data will be published along with STAC metadata, and communities like Pangeo are using STAC to organize data repositories in a scalable way. Commercial companies like Planet and Digital Globe are starting to publish STAC metadata for some of their catalogs. Session talks may cover overviews of the STAC, software projects utilizing STAC, and use cases of STAC in organizations. How to Prepare for this Session: See https://stacspec.org/

Speakers

Tuesday January 7, 2020 11:00am - 12:30pm
White Flint

12:30pm

Lunch
Tuesday January 7, 2020 12:30pm - 2:00pm
Salon D

1:00pm

ESIP 101
A quick primer on all things ESIP to help you navigate the meeting and the community! Come meet other new and returning ESIP members and ESIP leadership.  How to Prepare for this Session:

Tuesday January 7, 2020 1:00pm - 1:30pm
TBA

2:00pm

Making a Good First Impression: Metadata Quality Metrics for Earth Observation Data and Information
Metadata is often the first information that a user interacts with when looking for data. Understanding that there is typically only one chance to make a good impression, data and information repositories have placed an emphasis on metadata quality as a way of increasing the likelihood that a user will have a favorable first impression. This session will explore quality metrics, badging or scoring, and metadata quality assessment approaches within the Earth observation community. Discussion questions include:
● Does your organization implement metadata quality metrics and/or scores?
○ What are the key metrics that the scores are based on?
○ What priorities are driving your metadata quality metrics? For example, different repositories have different priorities. These priorities can include an emphasis on discoverability, accessibility, usability, provenance, etc...
● Does your organization make metadata quality scores publically viewable? What are the pros and cons of making the scores publically accessible?
How to Prepare for this Session:

Speakers
avatar for Amrutha Elamparuthy

Amrutha Elamparuthy

GCIS Data Manager, U.S. Global Change Research Program


Tuesday January 7, 2020 2:00pm - 3:30pm
Forest Glen

2:00pm

ESIP Geoscience Community Ontology Engineering Workshop (GCOEW)
"Brains! Brains! Give us your brains!""
- Friendly neighbourhood machine minds
The collective knowledge in the ESIP community is immense and invaluable. During this session, we'd like to make sure that this knowledge drives the semantic technology (ontologies) being developed to move data with machine-readable knowledge in Earth and planetary science.
What we'll do:

In the first half hour of this session, we'll a) sketch out how and why we build ontologies and b) show you how to request that your knowledge gets added to ontologies (with nanocrediting).
We'll then have a 30-minute crowdsourcing jam session, during which participants can share their geoscience knowledge on the SWEET issue tracker. With a simple post, you can shape how the semantic layer will behave, making sure it does your field justice! Request content and share knowledge here: https://github.com/ESIPFed/sweet/issues
In the last, 30 minutes we'll take one request and demonstrate how we go about ""ontologising"" it in ENVO and how we link that to SWEET to create interoperable ontologies across the Earth and life sciences.

Come join us and help us shape the future of Geo-semantics!

Stuff you'll need:

A GitHub account available at https://github.com/
An ORCID (for nanocrediting your contributions) available at https://orcid.org How to Prepare for this Session: Stuff you'll need: A GitHub account available at https://github.com/ An ORCID (for nanocrediting your contributions) available at https://orcid.org

Speakers
avatar for Lewis McGibbney

Lewis McGibbney

Chair, ESIP Semantic Technologies Committee, NASA, JPL
My name is Lewis John McGibbney, I am currently a Data Scientist at the NASA Jet Propulsion Laboratory in Pasadena, California where I work in Computer Science and Data Intensive Applications. I enjoy floating up and down the tide of technologies @ The Apache Software Foundation having... Read More →


Tuesday January 7, 2020 2:00pm - 3:30pm
Glen Echo

2:00pm

Data Skills & Competencies Requirements for Data Stewards: Views from the ESIP Community & Beyond
At the ESIP Summer 2019, many ESIP community members offered their feedback on the range and importance of skills and competencies for data specialists whose job responsibilities focus upon offering data "advise" (e.g., from data curators) and data "service providers" (e.g., from data librarians). By means of an interactive poster, participants were asked to choose whether a competency was of high, medium, low or no importance from a subset of competencies identified by a European Open Science Cloud (EOSC) project. In this session, session leaders will present the results of the ESIP community feedback within the context of the full list of EOSC competencies, and visualized from both a poster synthesis and a research data lifecycle point of view. Session leaders are hoping to have the audience participate by providing feedback and engaging in discussion on the data and views presented. One outcome of this work will be a "Career Compass" to be published by the American Geoscience Institute for students interested in becoming data stewards. How to Prepare for this Session:

Speakers
avatar for Karl Benedict

Karl Benedict

Director of Research Data Services & Information Technology, University of New Mexico
For over 33 years Karl Benedict has had parallel careers in Information Technology, Data Management and Analysis, and Archaeology. Since 1993 when he arrived at UNM he has worked as a Graduate Student in Anthropology, Research Scientist, Research Faculty, Applied Research Center Director... Read More →


Tuesday January 7, 2020 2:00pm - 3:30pm
Linden Oak

2:00pm

Starting the conversation on a FAIR Software and Workflow ecosystem.
Software is increasingly being recognised as essential to the capture, generation, storage and analysis of data: it is also a critical element within any research infrastructure. Research is increasingly requiring not just access to diverse, trustworthy, and re-usable sources of data, but also access to trustworthy and fit-for-purpose software to undertake that processing. Data and Software also need to be coupled with agile workflows that allow for integration, assimilation and visualisation. New ‘Software platforms’ are being engineered to enable the Earth and environmental research to attempt the next-generation challenges regardless of scale – desktop or exascale. o achieve these ambitions, we will need to increase the ability to discover, interoperably access software, workflows and models and provide ways to manage scale differences to create an “even playing field”. This session seeks contributions from groups that are working on any of the following: 1. Services to support discovery and access Earth science codes that can be enabled on multiple platforms of differing scales (that is, make software FAIR) 2. Software Frameworks to register and discovery analytical codes 3. Services to enable accreditation to researchers that make their codes discoverable and shareable 4. Anything else considered important components of building shareable, citeable and reusable components of the software ecosystem. How to Prepare for this Session:


Tuesday January 7, 2020 2:00pm - 3:30pm
Salon A

2:00pm

Current Data that are available on the Cloud
NASA, NOAA and USGS are in the process of moving data onto the cloud. While they have discussed what types of services are available and future plans of what data can be found, it is not completely clear what datasets users can currently access. This session will go over what datasets are currently up in the cloud and what data to expect in the near future. This way as users are transitioning to the cloud for their compute, they can also know what data are available to them on the cloud as well. How to Prepare for this Session:

Speakers
avatar for Chris Lynnes

Chris Lynnes

System Architect, NASA/GSFC
avatar for Jessica Hausman

Jessica Hausman

Data Engineer, PO.DAAC JPL
avatar for Jeff de La Beaujardière

Jeff de La Beaujardière

Director, Information Systems Division, NCAR
Big data, cloud computing, object storage, data management.


Tuesday January 7, 2020 2:00pm - 3:30pm
White Flint

3:30pm

Networking Break
Tuesday January 7, 2020 3:30pm - 4:00pm
Salon A-C Foyer

4:00pm

Bringing Science Data Uncertainty Down to Earth - Sub-orbital, In Situ, and Beyond
In the Fall of 2019, the Information Quality Cluster (IQC) published a white paper entitled “Understanding the Various Perspectives of Earth Science Observational Data Uncertainty”. The intention of this paper is to provide a diversely sampled exposition of both prolific and unique policies and practices, applicable in an international context of diverse policies and working groups, made toward quantifying, characterizing, communicating and making use of uncertainty information throughout the diverse, cross-disciplinary Earth science data landscape; to these ends, the IQC addressed uncertainty information from the following four perspectives: Mathematical, Programmatic, User, and Observational. These perspectives affect policies and practices in a diverse international context, which in turn influence how uncertainty is quantified, characterized, communicated and utilized. The IQC is now in a scoping exercise to produce a follow-on paper that is intended to provide a set of recommendations and best practices regarding uncertainty information. It is our hope that we can consider and examine additional areas of opportunity with regard to the cross-domain and cross-disciplinary aspects of Earth science data. For instance, the existing white paper covers uncertainty information from the perspective of satellite-based remote sensing well, but does not adequately address the in situ or airborne (i.e., sub-orbital) perspective. This session intends to explore such opportunities to expand the scope of the IQC’s awareness of what is being done with regard to uncertainty information, while also providing participants and observers with an opportunity to weigh in on how best to move forward with the follow-on paper. How to Prepare for this Session: https://www.youtube.com/watch?v=senSUe-j8j8
https://doi.org/10.1045/july2017-ramapriyan
http://wiki.esipfed.org/index.php/IQ_Presentations

Agenda:
  1. "IQC Uncertainty White Paper Status Summary and Next Steps" - Presented by: David Moroni (15 minutes)
  2. "Uncertainty quantification for in situ ocean data: The S-MODE sub-orbital campaign" - Presented by: Fred Bingham (15 minutes)
  3. "Uncertainty Quantification for Argo Float Data" - Presented by Mikael Kuusela (20 minutes)
  4. Panel Discussion (35 minutes)
  5. Closing Comments (5 minutes)

Speakers
avatar for David Moroni

David Moroni

Data Stewardship and User Services Team Lead, Jet Propulsion Laboratory, Physical Oceanography Distributed Active Archive Center
I am a Senior Science Data Systems Engineer at the Jet Propulsion Laboratory and Data Stewardship and User Services Team Lead for the PO.DAAC Project, which provides users with data stewardship services including discovery, access, sub-setting, visualization, extraction, documentation... Read More →
FB

Fred Bingham

University of North Carolina at Wilmington
MK

Mikael Kuusela

Carnegie Mellon University


Tuesday January 7, 2020 4:00pm - 5:30pm
Forest Glen

4:00pm

ESIP/OGC Sprint Report-Out
Report out from the ESIP and OGC Coverage Processing and Analysis Sprint How to Prepare for this Session:

Speakers
avatar for George Percivall

George Percivall

CTO, Chief Engineer, Open Geospatial Consortium
As CTO and Chief Engineer of the Open Geospatial Consortium (OGC), George Percivall is responsible for the OGC Interoperability Program and the OGC Compliance Program. His roles include articulating OGC standards as a coherent architecture, as well as addressing implications of technology... Read More →


Tuesday January 7, 2020 4:00pm - 5:30pm
Glen Echo

4:00pm

Defining the Bull's Eye of Sample Metadata
In recent years, the integration of physical collections and samples into digital data infrastructure has received increased attention in the context of Open Science and FAIR research results. In order to support open, transparent, and reproducible science, physical samples need to be uniquely identified, findable in online catalogues, well documented, and linked to related data, publications, people, and other relevant digital information. Substantial progress has been made through wide-spread implementation of the IGSN as a persistent unique identifier. What is missing is the development and implementation of protocols and best practices for sample metadata. Effort to do this have shown that it is impossible to develop a common vocabulary that describes all samples collected: one size does not fit all and each domain e.g. soil scientists, volcanologists, cosmochemists, paleoclimate scientists, and granite researchers – to name a few examples - all have their own vocabularies. Yet there is a minimum set of attributes that are common to all samples, the ‘Bull’s Eye of sample metadata’. This session invites participants from all walks of earth and environmental science to help define what is the minimum set of attributes needed to describe physical samples that are at the heart of much of Earth and environmental research. How to Prepare for this Session:


Tuesday January 7, 2020 4:00pm - 5:30pm
Linden Oak

4:00pm

Schema.org - Developing a Plan to Govern science-on-schema.org
This session will walkthrough the ESIP Github repository at https://github.com/ESIPFed/science-on-schema.org
Discussion:
* How do we govern as a cluster?
* Monitoring updates to schema.org?
* Strategies for proposing changes to core schema.org?
* Extensions at geoschemas.org How to Prepare for this Session: Review the contents of https://github.com/ESIPFed/science-on-schema.org

Speakers
avatar for Adam Shepherd

Adam Shepherd

Technical Director, Co-PI, WHOI
schema.org | Data Containerization | Linked Data | Semantic Web | Knowledge Representation | Ontologies


Tuesday January 7, 2020 4:00pm - 5:30pm
Salon A

4:00pm

Experiences Migrating Mission Scale Data in the Cloud
We will describe our project to upload a 2.4 PB dataset encapsulated into ~80K fused files from the 5 instruments on the Terra satellite into NASA AWS S3.
We will share the bottlenecks points and lessons learned during this process and expect to share experiences with similar projects in order to understand the best practices and collect guidelines for future projects that are adopting cloud solutions for their data needs.

We'll discuss data volumes, data integrity strategies for migration, S3 bucket organization, metadata curation, transfer rates, transfer pipelines, etc. We will also discuss and share data access patterns, costs, and architectures and how we can construct guidelines for access to these datasets efficiently.

We encourage the discussion among different projects that faced similar processes or are looking to migrate their datasets into the cloud.
How to Prepare for this Session:

Speakers

Tuesday January 7, 2020 4:00pm - 5:30pm
White Flint
 
Wednesday, January 8
 

8:30am

State of ESIP
Wednesday January 8, 2020 8:30am - 10:30am
Salon A-C

10:30am

Networking Break
Wednesday January 8, 2020 10:30am - 11:00am
Salon A-C Foyer

11:00am

Software Sustainability
It's commonly understood that software is essential to research, in data collection, curation, analysis, and understanding. It is also clear to researchers that scientific software is an instance of a software stack, with problem-specific software on top, discipline-specific tools next, general tools and middleware next, and infrastructural software on the bottom. These software stacks are often complex and fragile - changes within the stack cause the overall software to collapse and stop working - and as time goes on, work is increasingly needed to compensate for these problems. This is part of the challenge of software sustainability: keeping existing software running over time, whether for reproducibility or reuse. Another part is adapting the software to new research needs, new algorithms, and new types of hardware.

This session will cover multiple aspects of sustainability, including incentives that encourage sustainability activities, business models for sustainability (including public-private partnership), software design that can reduce the sustainability burden, and metrics to measure sustainability (perhaps tied to the definition of FAIR software).

This session eagerly seeks speakers who want to talk about an aspect of sustainability, challenges, or solutions. After a set of presentations, the attendees will discuss sustainability, with the goal of identifying activities that the ESIP community can undertake to increase sustainability of software related to ESIP (and volunteers to lead these activities.) How to Prepare for this Session: Check on the software you develop or use (or fund) in your research; think about how it is currently supported, and how you know it will still be available and working in 5 years.

Speakers

Wednesday January 8, 2020 11:00am - 12:30pm
Forest Glen

11:00am

Accelerating convergence of earth and space data in teaching and learning through participatory design.
Bringing remote sensing and astronomical data to life for students is a challenge for earth and space science educators. This session will engage teachers and scientists in a participatory design process that will demonstrate the power of data science, identify challenges in teaching and learning, and seek pathways to develop next generation tools and curricula to close the gap between science practice and education. This workshop extends an NSF convergence accelerator for earth and space data and will also help inform an upcoming NSF-funded workshop titled: Data Science for High School Computer Science: Identifying Needs, Gaps and Resources.
We are proposing a working session, working directly with teachers on tool development using a participatory design kind of approach. The ESIP Education Committee is working to identify DC-area schools to work with over the long term, and this session could be a good first step in that relationship. For this workshop, a minimum of three DC-area teachers will work with ESIP Education Committee members and facilitators. How to Prepare for this Session:


Wednesday January 8, 2020 11:00am - 12:30pm
Glen Echo

11:00am

Pangeo in Action
The NSF-funded Pangeo project (http://pangeo.io/) is a community-driven architectural framework for big data geoscience. A typical Pangeo software stack leverages Python open-development libraries including elements such as Jupyter Notebooks for interactive data analysis, Intake catalogs to provide a higher level of abstraction, Dask for scalable, parallelized data access, and Xarray for working with labeled multi-dimensional arrays of data, and can support data formats including NetCDF as well the cloud-optimized Zarr format for chunked, compressed, N-dimensional arrays.

This session includes presentations describing implementations, results, or lessons learned from using these tools, as well as some time for open discussion. We encourage attendance by people interested in knowing more about Pangeo.

Draft schedule:
Dr Amanda Tan, U. Washington: Pangeo overview and lessons learned
Dr Rich Signell, USGS: The USGS EarthMap Pangeo: Success Stories and Lessons Learned
Dr Jeff de La Beaujardière, NCAR: Climate model outputs on AWS using Pangeo framework
Dr Karl Benedict, UNM: Pangeo as a platform for workshops
Open discussion

How to Prepare for this Session:

Speakers
avatar for Jeff de La Beaujardière

Jeff de La Beaujardière

Director, Information Systems Division, NCAR
Big data, cloud computing, object storage, data management.


Wednesday January 8, 2020 11:00am - 12:30pm
Linden Oak

11:00am

Small Grant Funding Project Outcomes
Abdullah Alowairdhi: FAIRTool Project Update
Ziheng Sun: Geoweaver Project
Amanda Tan: CubeSat Project


Speakers
avatar for Amanda Tan

Amanda Tan

Data Scientist, University of Washington
Cloud computing, distributed systems
avatar for Abdullah Alowairdhi

Abdullah Alowairdhi

PhD Candedate, U of Idaho
ZS

Ziheng Sun

Research Assistant Professor, George Mason University
My research interests are mainly on geospatial cyberinfrastructure and agricultural remote sensing.
avatar for Annie Burgess

Annie Burgess

ESIP Lab Director, ESIP


Wednesday January 8, 2020 11:00am - 12:30pm
Salon A

11:00am

Earth Observation Process and Application Discovery, Machine Learning, and Federated Cloud Analytics: Putting data to work using OGC Standards
This session provides an overview of the results from the recent OGC Research & Development initiative Testbed-15. The 9-months 5M USD initiative addressed six different topics, Earth Observation Process and Application Discovery, Machine Learning, Federated Cloud Analytics, Open Portrayal Framework, Delta Updates, and Data Centric Security. This session focuses on the results produced by the first three.

Earth Observation Process and Application Discovery developed draft specifications and models for discovery of cloud-provided process and applications. This was achieved by extending existing standards with process and application specific extensions. Now, data processing software can be made available as a service, discovered using catalog interfaces, and executed on demand by customers. This allows to locate the process execution physically close to the data and reduces data transport overheads.

The Machine Learning research developed models in the areas of earth observation data processing, image classification, feature extraction and segmentation, vector attribution, discovery and cataloguing, forest inventory management & optimization, and semantic web-link building and triple generation. Both model discovery and access took place through standardized interfaces.

The Federated Cloud Analytics research analysed how to handle data and processing capacities that are provided by individual cloud environments transparently to the user. The research included how federated membership, resource, and access policy management can be provided within a security environment, while also providing portability and interoperability to all stakeholders. Additionally, the initiative conducted a study of the application of Distributed Ledger Technologies (DLTs), and more specifically Blockchains, for managing provenance information in Federated Cloud.

The other three topics will be briefly introduced in addition. The Open Portrayal Framework provides a fully interoperable portrayal and styling suite of standards. Here, the initiative developed new OGC APIs for styles, maps, images, and tiles. Delta updates explored incremental updates and thus reduced communication payloads between clients and servers, whereas the Data Centric Security thread examined the use of encrypted container formats on standard metadata bindings. How to Prepare for this Session: Al results will be made available as public Engineering Reports that provide full details. These become stepwise available at http://docs.opengeospatial.org/per/

Speakers
avatar for Ingo Simonis

Ingo Simonis

Director Innovation Programs & Science, OGC
Dr. Ingo Simonis is director of interoperability programs and science at the Open Geospatial Consortium (OGC), an international consortium of more than 525 companies, government agencies, research organizations, and universities participating in a consensus process to develop publicly... Read More →


Wednesday January 8, 2020 11:00am - 12:30pm
White Flint

12:30pm

Lunch | Peer Recognition Ceremony
Wednesday January 8, 2020 12:30pm - 2:00pm
Salon D

2:00pm

FAIR Laboratory Instrumentation, Analytical Procedures, and Data Quality
Acquisition and analysis of data in the laboratory are pervasive in the Earth, environmental, and planetary sciences. Analytical and experimental laboratory data, often acquired with sophisticated and expensive instrumentation, are fundamental for understanding past, present, and future processes in natural systems, from the interior of the Earth to its surface environments on land, in the oceans, and in the air, to the entire solar system. Despite the importance of provenance information for analytical data including, for example, sample preparation or experimental set up, instrument type and configuration, calibration, data reduction, and analytical uncertainties, there are no consistent community-endorsed best practices and protocols for describing, identifying, and citing laboratory instrumentation and analytical procedures, and documenting data quality. This session is intended as a kick-off working session to engage researchers, data managers, and system engineers, to contribute ideas how to move forward with and accelerate the development of global standard protocols and the promulgation of best practices for analytical laboratory data. How to Prepare for this Session:


Wednesday January 8, 2020 2:00pm - 3:30pm
Forest Glen

2:00pm

Participatory design and evaluation of a 3D-Printed Automatic Weather Station to explore hardware, software and data needs for community-driven decision making
The development of low-cost, 3D-printed weather stations aims to revolutionize the way communities collect long-term data about local weather phenomenon, as well as develop climate resilience strategies to adapt to the impacts of increasingly uncertain climate trends. This session will engage teachers and scientists in the evaluation and participatory design of the IoTwx 3D-printed weather station that is designed to be constructed and extended by students in middle and high school. We aim to explore the full spectrum of the station from construction (from pre-printed parts), to data collection and development of learning activities, to analysis of scientific phenomenon within the data. The stations also represent a unique opportunity to develop community-based strategies to extend the capabilities of the platform, and in the session we are encouraging full discussion of data collection and sensing technologies of specific relevance to communities adopting the stations.

In the proposed working session, we will work directly with teachers on evaluation and development using a participatory design approach. The ESIP Education Committee is actively identifying DC-area schools to work with over the long term, and this session will stimulate and encourage those relationships. We anticipate identifying three to seven DC-area teachers to work with the ESIP Education Committee members and facilitators to conduct and complete the working session. How to Prepare for this Session:


Wednesday January 8, 2020 2:00pm - 3:30pm
Glen Echo

2:00pm

Citizen Science Data and Information Quality
The ESIP Information Quality Cluster (IQC) has formally defined information quality as a combination of the following four aspects of quality, spanning the full life cycle of data products: scientific quality, product quality, stewardship quality, and service quality. Focus of the IQC has been quality of Earth science data captured by scientists/experts. For example, the whitepaper “Understanding the Various Perspectives of Earth Science Observational Data Uncertainty”, published by IQC in the fall of 2019, mainly addresses uncertainty information from the perspective of satellite-based remote sensing. With the advance of mobile computing technologies, including smart phones, Citizen Science (CS) data have been increasingly becoming more and more important sources for Earth science research. CS data have their own unique challenges regarding data quality, compared with data captured through traditional scientific approaches. The purpose of this session is to broaden the scope of IQC efforts, present the community with the state-of-the-art of research on CS data quality, and foster a collaborative interchange of technical information intended to help advance the assessment, improvement, capturing, conveying, and use of quality information associated with CS data. This session will summarize the scope of what we mean by CS data (including examples of platforms/sensors commonly used in collecting CS data) and include presentations from both past and current CS projects focusing on the topics such as challenges with CS data quality; strategies to assess, ensure, and improve CS data quality; approaches to capturing CS data quality information and conveying it to users; and use of CS data quality information for scientific discovery. How to Prepare for this Session:

Speakers
avatar for David Moroni

David Moroni

Data Stewardship and User Services Team Lead, Jet Propulsion Laboratory, Physical Oceanography Distributed Active Archive Center
I am a Senior Science Data Systems Engineer at the Jet Propulsion Laboratory and Data Stewardship and User Services Team Lead for the PO.DAAC Project, which provides users with data stewardship services including discovery, access, sub-setting, visualization, extraction, documentation... Read More →


Wednesday January 8, 2020 2:00pm - 3:30pm
Linden Oak

2:00pm

AI for Augmenting Geospatial Information Discovery
Thanks to the rapid developments of hardware and computer science, we have seen a lot of exciting breakthroughs in self driving, voice recognition, street view recognition, cancer detection, check deposit, etc. Sooner or later the fire of AI will burn in Earth science field. Scientists need high-level automation to discover in-time accurate geospatial information from big amount of Earth observations, but few of the existing algorithms can ideally solve the sophisticated problems within automation. However, nowadays the transition from manual to automatic is actually undergoing gradually, a bit by a bit. Many early-bird researchers have started to transplant the AI theory and algorithms from computer science to GIScience, and a number of promising results have been achieved. In this session, we will invite speakers to talk about their experiences of using AI in geospatial information (GI) discovery. We will discuss all aspects of "AI for GI" such as the algorithms, technical frameworks, used tools & libraries, and model evaluation in various individual use case scenarios. How to Prepare for this Session: https://esip.figshare.com/articles/Geoweaver_for_Better_Deep_Learning_A_Review_of_Cyberinfrastructure/9037091
https://esip.figshare.com/articles/Some_Basics_of_Deep_Learning_in_Agriculture/7631615

Speakers
avatar for Annie Burgess

Annie Burgess

ESIP Lab Director, ESIP
ZS

Ziheng Sun

Research Assistant Professor, George Mason University
My research interests are mainly on geospatial cyberinfrastructure and agricultural remote sensing.


Wednesday January 8, 2020 2:00pm - 3:30pm
Salon A

2:00pm

Advancing Data Integration approaches of the structured data web
Political, economic, social or scientific decision making is often based on integrated data from multiple sources across potentially many disciplines. To be useful, data need to be easy to discover and integrate.
This session will feature presentations highlighting recent breakthroughs and lessons learned from experimentation and implementation of open knowledge graph, linked data concepts and Discrete Global Grid Systems. Practicality and adoptability will be the emphasis - focusing on incremental opportunities that enable transformational capabilities using existing technologies. Best practices from the W3C Spatial Data on the Web Working Group, OGC Environmental Linked Features Interoperability Experiment, ESIP Science on Schema.org; implementation examples from Geoscience Australia, Ocean Leadership Consortium, USGS and other organisations will featured across the entire session.
This session will highlight how existing technologies and best practices can be combined to address important and common use cases that have been difficult if not impossible until recent developments. A follow up session will be used to seed future collaborative development through co-development, github issue creation, and open documentation generation. How to Prepare for this Session: Review: https://opengeospatial.github.io/ELFIE/, https://github.com/ESIPFed/science-on-schema.org, https://www.w3.org/TR/sdw-bp/, and http://locationindex.org/.

Speakers
avatar for Irina  Bastrakova

Irina Bastrakova

Director, Spatial Data Architecture, Geoscience Australia
I have been actively involved with international and national geoinformatics communities for more than 19 years. I am the Chair of the Australian and New Zealand Metadata Working Group. My particular interest is in developing and practical application of geoscientific and geospatial... Read More →


Wednesday January 8, 2020 2:00pm - 3:30pm
White Flint

3:30pm

Networking Break
Wednesday January 8, 2020 3:30pm - 4:00pm
Salon A-C Foyer

4:00pm

Emerging EnviroSensing Topics: Long-range, Low-power, Non-contact, Open-source Sensor Networks
Led by the ESIP EnviroSensing Cluster, this session is open to scientists, information managers, and technologists interested in the general topic of environmental sensing for science and management.

Rapid advances and decreasing costs in technology, as applied to environmental sensing systems, are promoting a shift from sparsely-distributed, single-mission observations toward employing affordable, high-fidelity, ecosystem monitoring networks driven by a need to forecast outcomes across timescales. In this session we will hear talks on new approaches to standing up long-range, low-power monitoring networks; the value(s) added by non-contact sensing (local-remote to satellite based sensing); as well as innovative sensor developments, including open-source approaches, that promote connectivity. The session will conclude with a 20-minute topical discussion open to all in attendance. How to Prepare for this Session:

Speakers
JB

Joseph Bell

Hydrologist, USGS


Wednesday January 8, 2020 4:00pm - 5:30pm
Forest Glen

4:00pm

Developing, Using and Testing Tools to Assess Learning Resources from two Perspectives: the Teacher and the Learner
Session leaders will describe tools being developed to assess the learning resources in the ESIP"s Data Management Training Clearinghouse (DMTC) from the perspectives of both instructors and students. The feedback collected through these tools will aid in identifying and choosing resources appropriate for their needs. First efforts have been focused on using DataONE's EEVA tool to identify and adapt questions. Feedback will be requested from participants to help guide the content, look and feel of the tool. How to Prepare for this Session: Visiting ESIP's Data Management Training Clearinghouse (https://dmtclearinghouse.esipfed.org) would be helpful but not required for productive participation in the session.

Speakers
avatar for Karl Benedict

Karl Benedict

Director of Research Data Services & Information Technology, University of New Mexico
For over 33 years Karl Benedict has had parallel careers in Information Technology, Data Management and Analysis, and Archaeology. Since 1993 when he arrived at UNM he has worked as a Graduate Student in Anthropology, Research Scientist, Research Faculty, Applied Research Center Director... Read More →


Wednesday January 8, 2020 4:00pm - 5:30pm
Glen Echo

4:00pm

Citizen Science Data in Earth Science: Challenges and Opportunities
Citizen science is scientific data collection and research performed primarily or in part by non-professional and amateur scientists. Citizen science data has been used in a variety of the physical sciences, including physics, ecology, biology, and water quality. As volunteer-contributed datasets continue to grow, they represent a unique opportunity to collect and analyze earth-science data on spatial and temporal scales impossible to achieve by individual researchers. This session will explore the ways open citizen science data sets can be used in earth science research and some of the associated challenges and opportunities for the ESIP community to use and partner with citizen science organizations. How to Prepare for this Session: https://www.nationalgeographic.org/encyclopedia/citizen-science/
http://www.earthsciweek.org/citizen-science

Speakers
avatar for Alexis Garretson

Alexis Garretson

Community Fellow, ESIP
avatar for Kelsey Breseman

Kelsey Breseman

Archiving Program Lead, Environmental Data & Governance Initiative
Governmental accountability around public data & the environment. Decentralized web. Intersection of tech & ethics & civics.


Wednesday January 8, 2020 4:00pm - 5:30pm
Linden Oak

4:00pm

Planning for new Agriculture and Climate Cluster focus area on automated agriculture with AI
The Agriculture and Climate (ACC) Cluster will host a planning session for a new focus area on automated agriculture and AI (""Agro-AI""). Some initial ideas on possible activities in this space were presented at the ACC October 2019 telecon, including those related to the “Data-to-Decisions” ESIP Lab project (https://www.esipfed.org/wp-content/uploads/2018/07/Wee.pdf). Currently, there are many initiatives and funding opportunities for automated agriculture with AI. The National Science Foundation, e.g., recently announced a program aimed at significantly advancing research in AI (https://www.nsf.gov/news/news_summ.jsp?cntn_id=299329&org=NSF&from=news), including, in its initial set of high-priority areas, “AI-Driven Innovation in Agriculture and the Food System.”
Among the topics for discussion in this planning session will be related proposal opportunities and sponsoring an ACC breakout session on agriculture and AI at the ESIP 2020 Summer Meeting. How to Prepare for this Session: TBD; there will be an intro presentation, prior to the group discussion. This presentation may be made available ahead of the meeting in the scheduled session page.

Speakers
AA

Arif Albayrak

senior software Engineer, ADNET (GESDISC)
avatar for Bill Teng

Bill Teng

Principal Scientist, NASA GES DISC (ADNET)


Wednesday January 8, 2020 4:00pm - 5:30pm
Salon A

4:00pm

Structured data web and coverages integration working session
This working session will follow on the "Advancing Data Integration approaches of the structured data web” session and the Coverage Analytics sprint as an opportunity for those interested in building linked data information products that integrate spatial features, coverage data, and more. As such, inspiration will be drawn from projects like science on schema.org, the Environmental Linked Features Interoperability Experiment, the Australian Location Index, and those that session attendees take part in. Participants will self organize into use-case or technology focused groups to discuss and synthesize the outcomes of the sprint and structured data web session. Session outcomes could take a number of forms: linked data and web page mock ups, ideas and issues for OGC, W3C, or ESIP groups to consider, example data or use cases for relevant software development projects to consider, or work plans and proposals for suture ESIP work. The session format is expected to be fluid with an ideation and group formation exercise followed by structured discussion to explore a set of ideas then narrow on a focused valuable outcome. Participants will be encouraged to work together prior to the meeting to design and plan the session structure. Outcomes of the session will be reported at an Information Technology and Interoperability webinar in early 2020. How to Prepare for this Session: Attend the coverage sprint and the "Advancing Data Integration approaches of the structured data web" session.

Speakers

Wednesday January 8, 2020 4:00pm - 5:30pm
White Flint

5:30pm

Poster & Demo Session
Wednesday January 8, 2020 5:30pm - 8:00pm
Salon A-C Foyer
 
Thursday, January 9
 

8:30am

Plenary Talks
Thursday January 9, 2020 8:30am - 10:00am
Salon A-C

10:00am

Networking Break
Thursday January 9, 2020 10:00am - 10:15am
Salon A-C Foyer

10:15am

Working Group for the Data Stewardship Committee
This session is a working group for the 2020-2021 year for the Data Stewardship committee. We will discuss priorities for the next year, potential collaborative outputs, and review the work in progress from the last year. How to Prepare for this Session:

Speakers
avatar for Alexis Garretson

Alexis Garretson

Community Fellow, ESIP
avatar for Kelsey Breseman

Kelsey Breseman

Archiving Program Lead, Environmental Data & Governance Initiative
Governmental accountability around public data & the environment. Decentralized web. Intersection of tech & ethics & civics.


Thursday January 9, 2020 10:15am - 11:45am
Forest Glen

10:15am

Do you have a labeling problem? Three tools for labeling data
The ESIP community and others in machine learning regularly lament the lack of labeled datasets, needed for certain classes of training algorithms. Generating accurate, useful labels is a hard problem, with no general automated solution in sight. Thus, labeling generally involves human effort, which is challenging because the volume of data needed for training can be very large.

Tools exist to help in labeling data. This session will demonstrate three labeling tools and associated processes

XX, a phone based tool for use in field work, YY
labelimg, an open source graphical image annotation tool, https://github.com/tzutalin/labelImg, Ziheng Sun
Bokeh, a Python based plotting and annotation tool set for building arbitrary labeling workflows, https://bokeh.org/, Jim Bednar

The session will conclude with a short discussion of thoughts and tradeoffs about the tools.

This session is followed by a hands-on session for using labelimg and Bokeh. How to Prepare for this Session:

Speakers
ZS

Ziheng Sun

Research Assistant Professor, George Mason University
My research interests are mainly on geospatial cyberinfrastructure and agricultural remote sensing.


Thursday January 9, 2020 10:15am - 11:45am
Glen Echo

10:15am

Identifying ESIP
Permanent Identifiers (PIDs) make connections across the scholarly community possible. We are familiar with DOI's for data, but how about ORCIDs for people or RORs for organizations. How is the ESIP community using identifiers and how can we benefit from that usage? Let's start a conversation! How to Prepare for this Session:

Speakers
avatar for Ted Habermann

Ted Habermann

Owner, Metadata Game Changers
I am interested in all facets of metadata needed to discover, access, use, and understand data of any kind. Also evaluation and improvement of metadata collections, translation proofing. Ask me about the Metadata Game.


Thursday January 9, 2020 10:15am - 11:45am
Linden Oak

10:15am

Mapping Data & Operational Readiness Levels (ORLs) to Community Lifelines
Approach: The Disaster Lifecycle Cluster has seen great success in its efforts to put Federated arms around “trusted data for decision makers” as a way to accelerate situational awareness and decision-making. By identifying trust levels for data. This session will build upon the Summer meeting and align perfectly with the overall ESIP theme of: Data to Action: Increasing the Use and Value of Earth Science Data and Information.

The ESIP Disaster Lifecycle Cluster has evolved into one of the most operationally active clusters in the Federation with a thirst for applying datasets to decision-making environments while building trust levels that manifest themselves as ORLs. Duke Energy, All Hazards Consortium’s Sensitive Information Sharing environment (SISE), DHS and FEMA are all increasing their interest in ORLs with their sights set on implementing them in the near future. Data is available everywhere and more of it is on the way. Trusted data is available some places and can help decision makers such as utilities make 30-second decisions that can save lives, property and get the lights back on sooner, saving millions of dollars.

This session will provide the venue to discuss emerging projects from NASA’s Applied Sciences Division (A.37), Initiatives at JPL and Federal Agency data portal access that can accelerate decision making today and in the future. We will also discuss drone data and European satellite data that is available for access and use when disasters threaten. Come and join us, the data you have may just save a life. How to Prepare for this Session:

Speakers
avatar for Dave Jones

Dave Jones

StormCenter Communications, StormCenter Communications
Real-time data access, sharing and collaboration across multiple platforms. Collaborative Common Operating Pictures, Decision Making, Situational Awareness, connecting disparate mapping systems to share data, cross-product data sharing and collaboration. SBIR Phase III status with... Read More →
avatar for Karen Moe

Karen Moe

NASA Goddard Emeritus


Thursday January 9, 2020 10:15am - 11:45am
Salon A

10:15am

Connecting Data with Data Usage: a Graph Approach
We will investigate graph-based methods of connecting data with the uses made and the knowledge gained from those data, from science research to applications to strategic planning. We will examine the diverse capabilities enabled by connecting uses with data for a variety of stakeholders, and explore how to connect existing knowledge graphs together to scale out across the ESIP federation and related communities toward an inter-connected mega-graph.

0-5 min:  Chris Lynnes (NASA): Setting the Stage...
5-15 min: Doug Newman (NASA): EOSDIS Knowledge Graph
15-25 min: Reid Sherman (GCIS): 
25-35 min: Dave Blodgett (USGS): SELFIE
35-45 min: Joe Conran (NOAA): Interagency Coordination of Satellite Needs*
45-55 min: Wil Doane (IDA): Assessing the Impact of Land Imaging*
55-65 min:  Lewis McGibbney (NASA/JPL): Enterprise Knowledge Graph Engineering
70-90 min:  The Way Forward

* Tentative

How to Prepare for this Session: Review graph db and graph traversal technologies

Speakers
avatar for Chris Lynnes

Chris Lynnes

System Architect, NASA/GSFC
avatar for Doug Newman

Doug Newman

EED Data Use Architect


Thursday January 9, 2020 10:15am - 11:45am
White Flint

11:45am

Networking Break
Thursday January 9, 2020 11:45am - 12:00pm
Salon A-C Foyer

12:00pm

License Up! What license works for you and your downstream repositories?
Many repositories are seeing an increase in the use and diversity of licenses and other intellectual property management (IPM) tools applied to externally-created data submissions and software developed by staff. However, adding a license to data files may have unexpected or unintended consequences in the downstream use or redistribution of those data. Who “owns” the intellectual property rights to data collected by university researchers using Federal and State (i.e., public) funding that must be deposited at a Federal repository? What license is appropriate for those data and what — exactly — does that license allow and disallow? What kind of license or other IPM instrument is appropriate for software written by a team of Federal and Cooperative Institute software engineers? Is there a significant difference between Creative Commons, GNU, and other ‘open source licenses’?

We have invited a panel of legal advisors from Federal and other organizations to discuss the implications of these questions for data stewards and the software teams that work collaboratively with those stewards. We may also discuss the latest information about Federal data licenses as it applies to the OPEN Government Data Act of 2019. How to Prepare for this Session: Consider what, if any, licenses, copyright, or other intellectual property rights management you apply or think applies to your work. Also consider Federal requirements such as the OPEN Government Data Act of 2019, Section 508 of the Rehabilitation Act of 1973.

Speakers

Thursday January 9, 2020 12:00pm - 1:30pm
Forest Glen

12:00pm

Hands-on labeling workshop
Intended as a follow on to the Do You Have a Labeling Problem? session and to get your feet wet, this working session is for people to experiment with two of the tools presented in that session, labelimg and Bokeh. Presenters will provide some sample data for participants to work with. Attendees can also bring some of their own data to work with in the time remaining after the planned activities.

It would be best for workshop participants to preinstall labelimg and Bokeh before coming to the session. How to Prepare for this Session: Please preinstall labelimg via https://github.com/tzutalin/labelImg#installation and Bokeh as part of the HoloViz suite via http://holoviz.org/installation.html

Speakers
ZS

Ziheng Sun

Research Assistant Professor, George Mason University
My research interests are mainly on geospatial cyberinfrastructure and agricultural remote sensing.


Thursday January 9, 2020 12:00pm - 1:30pm
Glen Echo

12:00pm

Research Object Citation Cluster Working Session
ESIP has published guidelines for citing data and for citing software and services. These have been important and influential ESIP products. Now a new cluster is working to address the issues of “research object” citation writ large. The cluster has been working to identify the various types of research objects that could or should be cited such as samples, instruments, annotations, and other artifacts. We have also been examining the various concerns that may be addressed in citing the objects such as access, credit or attribution, and scientific reproducibility. We find that citation of different types of objects may need to address different concerns and that different approaches may be necessary for different concerns and objects. We have, therefore, been working through a matrix that attempts to map all the various objects and citation concerns.

In this working session, we will provide a brief overview of the cluster's work to date on determining when different research objects get IDs. We will then work in small groups to further explore where and how similar objects should be referenced for purposes of attribution and provenance or reproducibility. Our goal is to have a draft recommendation or complete matrix by the end of the meeting as well as potential follow-on activities for the cluster. How to Prepare for this Session: Participants should be familiar with existing ESIP citation guidelines and have reviewed the minutes of the last several meetings, especially the "Objects and Concerns Matrix". See http://wiki.esipfed.org/index.php/Research_Object_Citation

Speakers
avatar for Jessica Hausman

Jessica Hausman

Data Engineer, PO.DAAC JPL
avatar for Mark Parsons

Mark Parsons

Research Scientist, Rensselaer Polytechnic Institute


Thursday January 9, 2020 12:00pm - 1:30pm
Linden Oak

12:00pm

Fire effects on soil morphology across time scales: Data needs for near- and long-term land and hazard management
Fire impacts soil hydrology and biogeochemistry at both near (hours to days) and long (decades to centuries) time scales. Burns, especially in soils with high organic carbon stocks like peatlands, induce a loss of absolute soil carbon stock. Additionally, fire can alter the chemical makeup of the organic matter, potentially making it more resistant to decomposition. On the shorter timescales, fire can also change the water repellent properties or hydrophobicity of the soil, leading to an increased risk of debris flows and floods.

In this session, we will focus on the varying data needs for assessing the effects of burns across time scales, from informing emergency response managers in the immediate post-burn days, to monitoring post-burn recovery, to managing carbon in a landscape decades out. How to Prepare for this Session:

Speakers
avatar for Bill Teng

Bill Teng

Principal Scientist, NASA GES DISC (ADNET)


Thursday January 9, 2020 12:00pm - 1:30pm
Salon A

12:00pm

Datacubes for Analysis-Ready Data: Standards & State of the Art
This workshop session will follow up on the OGC Coverage Analytics sprint, focusing specifically on advanced services for spatio-temporal datacubes. In the Earth sciences datacubes are accepted as an enabling paradigm for offering massive spatio-temporal Earth data analysis-ready, more generally: easing access, extraction, analysis, and fusion. Also, datacubes homogenizes APIs across dimensions, allowing unified wrangling of 1-D sensor data, 2-D imagery, 3-D x/y/t image timeseries and x/y/z geophysics voxel data, and 4-D x/y/z/t climate and weather data.
Based on the OGC datacube reference implementation we introduce datacube concepts, state of standardization, and real-life 2D, 3D, and 4D examples utilizing services from three continents. Ample time will be available for discussion, and Internet-connected participants will be able to replay and modify many of the examples shown. Further, key datacube activities worldwide, within and beyond Earth sciences, will be related to.
Session outcomes could take a number of forms: ideas and issues for OGC, ISO, or ESIP to consider; example use cases; challenges not yet addressed sufficiently, and entirely novel use cases; work and collaboration plans for future ESIP work. Outcomes of the session will be reported at the next OGC TC meeting's Big Data and Coverage sessions. How to Prepare for this Session: Introductory and advanced material is available from http://myogc.org/go/coveragesDWG

Speakers

Thursday January 9, 2020 12:00pm - 1:30pm
White Flint

1:30pm

Lunch
Thursday January 9, 2020 1:30pm - 2:15pm
Salon D