Loading…
This event has ended. Create your own event on Sched.
Join the 2020 ESIP Winter Meeting Highlights Webinar on Feb. 5th at 3 pm ET for a fast-paced overview of what took place at the meeting. More info here.

Sign up or log in to bookmark your favorites and sync them to your phone or calendar.

Monday, January 6
 

4:00pm EST

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

Agenda:
400-415 Welcome/introductions/sign-in - Danie415-430 High level Summary of OKN workshop - TBA
430-435 Updates on shared infrastructure - Kerstin, Danie
435-445 Update on COPDESS-Kerstin, Shelley
445-515 Update and next steps on P419-Doug, Adam
515-530 Progress on EC supplements for CCHDO and MagIC related to P418/P419 (GeoCODES)-Steve
530-550 Update from tech team EarthCube Office-Kenton McHenry
550-600 Summer topics - Danie
      • Suggested Charter changes (to be voted on at july 2020)
      • Announce  CDF exec elections in july 2020 - 2 co-chair and 3 at large positions


Speakers
avatar for Jessica Hausman

Jessica Hausman

Data Engineer, PO.DAAC JPL


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

11:00am EST

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: Issues

Links:
Glossary
Use git repository: 
Issues

View Recording:https://youtu.be/5hwZOLQ1p9M.

Takeaways
  • NCEAS is continuing to work on pinning down what are the fundamental characteristics for FAIR data. Have the suite of checks (e.g. is title present). 54 are currently implemented and they are working toward a community define 1.0 check suite. This is a good tool for data curators but has the potential to be misunderstood or misused - need a public FAIR metric. Public FAIR metric is high level and simple and includes only items that everyone agrees upon.
  • Future plans to create community specific custom FAIR suite checks to handle the variability of how metadata is hosted. Continually evaluating if checks are helping/hurting the data curators. Work is needed on the user interface - how do we ensure that metadata evaluation is a positive experience regardless of the score.
  • Reusability is typically low throughout the data repositories. Accessibility needs a greater focus as it’s hindered by broken/missing links. “When you decide what fields are mandatory (vs optional) you decide what metadata you get”


Speakers
avatar for Ted Habermann

Ted Habermann

Chief Game Changer, 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.
avatar for Matt Jones

Matt Jones

Director, DataONE Program, DataONE, UC Santa Barbara
DataONE | Arctic Data Center | Open Science | Provenance and Semantics | Scientific Synthesis


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

11:00am EST

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.

Presentations: http://bit.ly/303gig7, https://doi.org/10.6084/m9.figshare.11536317.v1
Link to use case / user scenario: https://tinyurl.com/yh4rnk7b

View Recording: https://youtu.be/96NMQwx_EtI

Takeaways
  • Perfection is the enemy of getting stuff done
  • Something is better than nothing
  • Triage will be necessary at several places in the process



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 EST
Linden Oak
  Linden Oak, Working Session

2:00pm EST

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. There will also be presentations from AWS. Speakers:
Katie Baynes - NASA/EOSDIS
Jon O'Neil - NOAA
Jeff de La Beaujardiere - NCAR
Kristi Kliene - USGS/EROS
Joe Flasher - AWS

Presentations: See attached.

View Recording: https://youtu.be/yssgXB7iaxw

Takeaways
  • Petabyte scale data is being moved into the cloud. This is concentrated in AWS, Google Cloud and Microsoft depending on the agency and dataset
  • Some concern around partnerships with companies (AWS most discussed) in terms of long term relationships, moving data etc. and how those things might impact access or data use
  • Need to make clear the authoritative source of the data, who is stewarding it, and any modifications done when copying to cloud. Users should exercise due diligence in selecting and using data.



Speakers
JO

Jon O'Neil

Director, NOAA Big Data Program, NOAA
avatar for Joe Flasher

Joe Flasher

Open Geospatial Data Lead, Amazon Web Services
Joe Flasher is the Open Geospatial Data Lead at Amazon Web Services helping organizations most effectively make data available for analysis in the cloud. The AWS open data program has democratized access to petabytes of data, including satellite imagery, genomic data, and data used... Read More →
avatar for Christopher Lynnes

Christopher Lynnes

Systems Architect, NASA/EOSDIS, NASA/GSFC
Christopher Lynnes is currently System Architect for NASA’s Earth Observing System Data and Information System, known as EOSDIS. He has been working on EOSDIS since 1992, over which time he has worked multiple generations of data archive systems, search engines and interfaces, science... Read More →
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.
avatar for Dave Meyer

Dave Meyer

GES DISC manager, NASA


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

4:00pm EST

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: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 Spatio-Temporal Mapping of Argo Float Data" - Presented by Mikael Kuusela (20 minutes)
  4. Panel Discussion (35 minutes)
  5. Closing Comments (5 minutes)
Notes Page: https://docs.google.com/document/d/1vfYBK_DLTAt535kMZusTPVCBAjDqptvT0AA5D6oWrEc/edit?usp=sharing

Presentations:
https://doi.org/10.6084/m9.figshare.11553681.v1

View Recording: https://youtu.be/vC2O8FRgvck

Takeaways

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 →
avatar for Ge Peng

Ge Peng

Research Scholar, CISESS/NCEI
Dataset-centric scientific data stewardship, data quality management
FB

Fred Bingham

University of North Carolina at Wilmington
MK

Mikael Kuusela

Carnegie Mellon University


Tuesday January 7, 2020 4:00pm - 5:30pm EST
Forest Glen
 
Wednesday, January 8
 

11:00am EST

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/

Presentations:
https://doi.org/10.6084/m9.figshare.11551563.v1

View Recording: https://youtu.be/ojMrcIE-SgE

Takeaways
  • OGC innovation program: Test fitness for purpose of geospatial community initiatives. TESTBED-15 concluded last November results available soon from document repository. End to end cloud pipeline for data processing and analytics. Call for TESTBED-16 due Feb 9th 2020! 1.6M in funding available. Three major threads: earth observation clouds, data integration and analytics, and modeling and packaging. 
  • Way to synergize between needs of user communities competing and collaborating projects, contributing to a more interoperable world. Provides applications, process and catalogues for data processing. 
  • Testbeds center around an exploitation/processing platform (for data with relevant applications) like an application market with cloud services. Having some trouble finding application developers. Finding web services with relevant data can be problematic.



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 EST
White Flint
  White Flint, Breakout

2:00pm EST

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

Presentations:
https://doi.org/10.6084/m9.figshare.11626299.v1

View Recording: https://youtu.be/W0q8WiMw9Hs

Takeaways
  • There is a significant uptake of machine learning/artificial intelligence for earth science applications in the recent decade;
  • The challenge of machine learning applications for earth science domain includes:
    • the quality and availability of training data sets;
    • Requires a team with diverse skill background to implement the application
    • Need better understanding of the underlying mechanism of ML/AI models
  • There are many promising applications/ developments on streamlining the process and application of machine learning applications for different sectors of the society (weather monitoring, emergency responses, social good)



Speakers
avatar for Yuhan (Douglas) Rao

Yuhan (Douglas) Rao

Postdoctoral Research Scholar, CISESS/NCICS/NCSU
avatar for Aimee Barciauskas

Aimee Barciauskas

Data engineer, Development Seed
avatar for Annie Burgess

Annie Burgess

ESIP Lab Director, ESIP
avatar for Rahul Ramachandran

Rahul Ramachandran

Project Manager, Sr. Research Scientist, NASA
avatar for Ziheng Sun

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 EST
Salon A-C
  Salon A-C, Breakout

2:00pm EST

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/.

Notes, links, and attendee contact info here.

View Recording: https://youtu.be/-raMt2Y1CdM

Session Agenda:
1.  2.00- 2.10,  Sylvain Grellet, Abdelfettah Feliachi, BRGM, France
'Linked data' the glue within interoperable information systems
“Our Environmental Information Systems are exposing environmental features, their monitoring systems and the observation they generate in an interoperable way (technical and semantic) for years. In Europe, there is even a legal obligation to such practices via the INSPIRE directive. However, the practice inducing data providers to set up services in a "Discovery > View > Download data" pattern hides data behind the services. This hinders data discovery and reuse. Linked Data on the Web Best Practices put this stack upside down and data is now back in the first line. This completely revamp the design and capacities of our Information Systems. We'll highlight the new data frontiers opened by such practices taking examples on the French National Groundwater Information Network”
View Slides: https://doi.org/10.6084/m9.figshare.11550570.v1

2.  2.10 - 2.20,  Adam Leadbetter, Rob Thomas, Marine Institute, Ireland
Using RDF Data Cubes for data visualization: an Irish pilot study for publishing environmental data to the semantic web
The Irish Wave and Weather Buoy Networks return metocean data at 5-60 minute intervals from 9 locations in the seas around Ireland. Outside of the Earth Sciences an example use case for these data is in supporting Blue Economy development and growth (e.g. renewable energy device development). The Marine Institute, as the operator of the buoy platforms, in partnership with the EU H2020 funded Open Government Intelligence project has published daily summary data from these buoys using the RDF DataCube model[1]. These daily statistics are available as Linked Data via a SPARQL endpoint making these data semantically interoperable and machine readable. This API underpins a pilot dashboard for data exploration and visualization. The dashboard presents the user with the ability to explore the data and derive plots for the historic summary data, while interactively subsetting from the full resolution data behind the statistics. Publishing environmental data with these technologies makes accessing environmental data available to developers outside those with Earth Science involvement and effectively lowers the entry bar for usage to those familiar with Linked Data technologies.
View Slides: https://doi.org/10.6084/m9.figshare.11550570.v1

3. 2.20 - 2.30,  Boyan Brodaric, Eric Boisvert, Geological Survey of Canada, Canada; David Blodgett, USGS, USA
Toward a Linked Water Data Infrastructure for North America
We will describe progress on a pilot project using Linked Data approaches to connect a wide variety of water-related information within Canada and the US, as well as across the shared border
View Slides: https://doi.org/10.6084/m9.figshare.11541984.v1

4.  2.30 - 2.40,  Dalia Varanka, E. Lynn Usery, USGS, USA
The Map as Knowledge Base; Integrating Linked Open Topographic Data from The National Map of the U.S. Geological Survey
This presentation describes the objectives, models, and approaches for a prototype system for cross-thematic topographic data integration based on semantic technology. The system framework offers a new perspectives on conceptual, logical, and physical system integration in contrast to widely used geographic information systems (GIS).
View Slides: https://doi.org/10.6084/m9.figshare.11541615.v1

5.  2.40 – 2.50,  Alistair Ritchie, Landcare, New Zealand
ELFIE at Landcare Research, New Zealand
Landcare Research, a New Zealand Government research institute, creates, manages and publishes a large set of observational and modelling data describing New Zealand’s land, soil, terrestrial biodiversity and invasive species. We are planning to use the findings of the ELFIE initiatives to guide the preparation of a default view of the data to help discovery (by Google), use (by web developers) and integration (into the large environmental data commons managed by other agencies). This integration will not only link data about the environment together, but will also expose more advanced data services. Initial work is focused on soil observation data, and the related scientific vocabularies, but we anticipate near universal application across our data holdings.
View Slides: https://doi.org/10.6084/m9.figshare.11550369.v1

6.  2.50 - 3.00,  Irina Bastrakova, Geoscience Australia, Australia
Location Index Project (Loc-I) – integration of data on people, business & the environment
Location Index (Loc-I) is a framework that provides a consistent way to seamlessly integrate data on people, business, and the environment.
Location Index aims to extend the characteristics of the foundation spatial data of taking geospatial data (multiple geographies) which is essential to support public safety and wellbeing, or critical for a national or government decision making that contributes significantly to economic, social and environmental sustainability and linking it with observational data. Through providing the infrastructure to suppo

Speakers
avatar for Jonathan Yu

Jonathan Yu

Research data scientist/architect, CSIRO
Jonathan is a data scientist/architect with the Environmental Informatics group in CSIRO. He has expertise in information and web architectures, data integration (particularly Linked Data), data analytics and visualisation. Dr Yu is currently the technical lead for the Loc-I project... Read More →
avatar for Dalia Varanka

Dalia Varanka

Research Physical Scientist, U.S. Geological Survey
Principle Investigator and Project Lead, The Map as Knowledge Base
AR

Alastair Richie

Landcare Research NZ
AL

Adam Leadbetter

Marine Institute
RT

Rob Thomas

Marine Institute
BB

Boyan Brodaric

Natural Resources Canada
EB

Eric Boisvert

Natural Resources Canada
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 →
avatar for David Blodgett

David Blodgett

U.S. Geological Survey


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

4:00pm EST

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.

Shared document for session here.

Full Notes: https://doi.org/10.6084/m9.figshare.11559087.v1

Presentations:

View Recording: https://youtu.be/u2x3I0cr46A

  • Takeaways
    Breakout session information interoperability committee and webinar series. See notes: https://docs.google.com/document/d/1LpcTMwP0mAD4G4Gb8mStI5uSDV61_qWPUkQ9nI1x1cI/edit?usp=sharing
  • Foster cross-project consistency via breakouts. Such as dealing with science on schema.org issue of Links to “in-band” linked (meta)data and “out of band” linked data. Content negotiation and in-band and out of band links Use blank nodes with link properties for rdf elements that are URI for out of band content. Identify in band links with sdo @id, out of band links with sdo:URL
  • Incorporating Spatial Coverages in Knowledge Graphs; Next Steps? Need to explore more on tessellations as an intermediate index. Will carry forward some of these ideas at the EDR SWG Will represent some of these ideas to the OGC-API Coverages SWG Will mention these ideas to the UFOKN Role of ‘spatial’ knowledge graphs Will spatial data analysis and transformation tools grow to adopt/support RDF as an underlying data structure for spatial information or will RDF continue to be a ‘view’ of existing (legacy) spatial data in GI systems?


Speakers
avatar for Adam Shepherd

Adam Shepherd

Technical Director, Co-PI, BCO-DMO
schema.org | Data Containerization | Linked Data | Semantic Web | Knowledge Representation | Ontologies
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 →
WF

William Francis

Geoscience Australia
avatar for Jonathan Yu

Jonathan Yu

Research data scientist/architect, CSIRO
Jonathan is a data scientist/architect with the Environmental Informatics group in CSIRO. He has expertise in information and web architectures, data integration (particularly Linked Data), data analytics and visualisation. Dr Yu is currently the technical lead for the Loc-I project... Read More →
DF

Doug Fils

Consortium for Ocean Leadership
avatar for David Blodgett

David Blodgett

U.S. Geological Survey


Wednesday January 8, 2020 4:00pm - 5:30pm EST
White Flint
 
Thursday, January 9
 

10:15am EST

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?

This is the first report from the Identifying ESIP Connections Funding Friday Project that started last summer. The focus so far has been on identifying organizations associated with ESIP using the Research Organization Registry. During this session we will introduces identifiers at four levels: U.S. Federal Agencies and Departments, ESIP Sponsors, ESIP Members, and ESIP Participants. Information on all of these levels is available on the ESIP Wiki.
  1. Maria Gould, the ROR Project lead at the California Digital Library will fill us in on ROOR and answer questions about RORs. (Presentation)
  2. Ted Habermann the PI of Identifying ESIP Connections will discuss this work and lead a working discussion of RORs

Click here to participate: http://wiki.esipfed.org/index.php/Category:Identifying_ESIP_Connections


Presentations
https://doi.org/10.6084/m9.figshare.11794182.v1

View Recording: https://youtu.be/iUYmTaDdJGQ

Takeaways
  • Generally positive attitude about using identifiers for organizations but all organizations in ESIP may not end up with RORs...
  • The granularity of RORs is an ongoing challenge and spans many challenges - multi-organization projects, changes as function of time.
  • How are research organizations defined? Do repositories have RORs? Wiki pages were good way to share information.



Speakers
avatar for Ted Habermann

Ted Habermann

Chief Game Changer, 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 EST
Linden Oak
  Linden Oak, Breakout

10:15am EST

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.

Agenda:
  1. Greg McShane, DHS CISA - The Critical Nature of the Public-Private Trusted Information Sharing Paradigm (10 min) Presented by Tom Moran, All Hazards Consortium Executive Director
  2. Dave Jones, StormCenter/GeoCollaborate - The status of ORLs, where we are, ESIP Announcement at GEO in Australia, AHC SISE, Next Steps (10 min)
  3. Maggi Glassco, NASA Disasters Program, JPL - New Applied Sciences Disasters Projects, Possible Lifeline Support Information Sources in the Future (10 min)
  4. Bob Chen/Bob Downs, Columbia Univ./SEDAC/CIESIN - Specific Global and Local Population Data for Community Lifeline Decision Making (10 min)
  5. Discussion/Q&A Period (40 min)

Presentations

View Recording: https://youtu.be/gJ93R6SlMkM

Key Takeaways for this Session: 
  1. Through the All Hazards Consortium, a new research institute will begin to help bring candidate research products into operations. An imagery committee, consisting of private and research members under SISE, will identify and evaluate use-case driven candidate imagery data within the ORL context using Geo-Collaborate.
  2. NASA grant opportunities within the disasters program requires co-funding by end user partners to guide usage needs and adoption (using ARL success criteria). This should increase adoption of NASA funded ASP project data and/or services. The cluster would like to work with NASA ASP as a testbed for funded projects to connect to additional user communities.
  3. We discussed the need / value of population data (current and predictions on affected populations) for preparedness activities and emergency response. We would like to leverage additional data services from SEDAC to test with operational decision makers. 


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
ESIP Disasters Lifecycle cluster co-chair with Dave Jones/StormCenter IncManaging an air quality monitoring project for my town just outside of Washington DC and looking for free software!! Enjoying citizen science roles in environmental monitoring and sustainable practices in my... Read More →


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

10:15am EST

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): Documenting how data matters...
5-15 min: Doug Newman (NASA): EOSDIS Knowledge Graph
https://doi.org/10.6084/m9.figshare.11561805.v1
15-25 min: Reid Sherman (GCIS): Global Change Information System
https://doi.org/10.6084/m9.figshare.11560011.v1
25-35 min: Dave Blodgett (USGS): SELFIE
https://doi.org/10.6084/m9.figshare.11559093.v1
35-45 min: Joe Conran (NOAA): Interagency Coordination of Satellite Needs
https://doi.org/10.6084/m9.figshare.11561946.v1
45-55 min: Wil Doane (IDA): Assessing the Impact of Land Imaging
https://doi.org/10.6084/m9.figshare.11561913.v1
55-90 min: The Way Forward:
1 - Got Use Case?
2 - ESIP Cluster? https://www.esipfed.org/get-involved/collaborate
3 - Who's In?

Session Notes

View Recording:
https://youtu.be/yi05crW6Ya0\

Takeaways
  • How to connect data with the uses of that data = Documenting how data matter.
    Federating knowledge bases is daunting task but possible.
  • Connect research and data to place (but gap around using place identifiers in linked data).
    Discussion of potentially make a new cluster or using another one. Decision to recharter/repurpose/rename the data discovery cluster.
  • Sin of computer science is giving people impression that things are mostly 1 to 1 relationship, but more accurately life and universe is full of many-to-many relationships, i.e., graph databases > RDBMS




Speakers
avatar for Christopher Lynnes

Christopher Lynnes

Systems Architect, NASA/EOSDIS, NASA/GSFC
Christopher Lynnes is currently System Architect for NASA’s Earth Observing System Data and Information System, known as EOSDIS. He has been working on EOSDIS since 1992, over which time he has worked multiple generations of data archive systems, search engines and interfaces, science... Read More →
avatar for Doug Newman

Doug Newman

EED Data Use Architect


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