2020 ESIP Winter Meeting

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:

Presentations:

View Recording: https://youtu.be/1s1L3Jter8w

Takeaways

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:

Presentations: https://doi.org/10.6084/m9.figshare.11591211.v1

View Recording: https://youtu.be/xSjLF_TbV30

Takeaways

• There are many tools that already exist but they need to be more easily connected to the curriculum
• There are constraints to which tools schools can use because they cannot have blogging features and present other security risks. Also, they have limited technological availability
  
  

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 this working session, we will work directly with teachers on evaluation and development using a participatory design approach to stimulate and encourage relationships between ESIP Education Committee members and teachers.

Preparing for this Session: TBD

Presentations:

View Recording: https://youtu.be/AfvWhZBkQd8

Takeaways

• Very valuable for the schools and community. It is an opportunity to include multiple departments within the school system (engineering, computer science, maths, earth science, etc.)
• Need to understand the constraints that school systems may present: security, wifi, processing power, cloud access, only required for part of the year
  
  
  

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.

Presentations:

View Recording: https://youtu.be/uc4tbjyePpI

Takeaways

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.

Speakers:

• Ruth Duerr, Citizen Science Examples and Issues https://tinyurl.com/ydszbeqv
  View Slides:https://doi.org/10.6084/m9.figshare.11549256.v1
• Rebecca Forkner, Improving `big unstructured’ citizen data to monitor diversity
• Lourdes Vera
• Brian Hostetler
• Alexis Garretson, Citizen Science Data Management Challenges and Opportunities
  View Slides: https://doi.org/10.6084/m9.figshare.11559081.v1

View Recording: https://youtu.be/jTNgWZI6Cik

Takeaways


How to Prepare for this Session: https://www.nationalgeographic.org/encyclopedia/citizen-science/
http://www.earthsciweek.org/citizen-science