We are a home for Earth science data and computing professionals. Our sessions bring together the community for hands-on, interdisciplinary deep dives as we explore "Innovation to Impact" this year. Learn more about ESIP: esipfed.org
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Writing code has become an integral component of conducting scientific research, especially as datasets size and complexity have grown. Scientists use code to download and clean data, prepare visualizations, calculate statistics, run models, and more. Just as the use of code in environmental research has grown, so has the ecosystem of tools and techniques for building robust analyses. Libraries in the programming language R have expanded to meet the needs of a growing user base in the scientific community, particularly through the open science community, rOpenSci. In this session, we will focus on a particular package in the rOpenSci ecosystem called ‘targets’, which enables users to build robust, data pipelines that enable reproducible and efficient scientific workflows. We will introduce the concepts of dependency tracking that underpin the package, host an interactive demo to build a small pipeline using ‘targets’, and share a few examples of ‘targets’ pipelines built for large research projects. Attendees should leave this session feeling inspired and equipped to begin constructing data pipelines using ‘targets’ for their own projects.
Value to Session Participants: Session participants will leave with an example of a reproducible workflow, and practice writing and running code with dependency management enabled. This should give them a starting point for future projects that can leverage these techniques.
Recommended Ways to Prepare: Skim the homepage of the ‘targets’ rOpenSci docs to understand the high-level summary and philosophy of this approach at https://docs.ropensci.org/targets/. Consider watching the 4-minute demonstration video that shows an example workflow. If you are not familiar with R functions, please read about them in this R for Data Science chapter at https://r4ds.hadley.nz/functions.html.
The goal is to create a more equitable and accessible Earth science data landscape. To achieve this, we should prioritize understanding the specific needs of diverse user communities, including non-traditional users. By building on successful programs like ESIIL and TOPST-SCHOOL and fostering collaboration among organizations, we can share best practices and resources for making Earth and Environmental Data Science (EDS) education more accessible. Additionally, developing targeted outreach strategies and providing accessible training and resources can prepare users to effectively work with Earth science data. Finally, designing data products and services with the end-user in mind can enhance user experience and drive greater impact. In this engaging session, speakers will address the following: 1.) What are the needs that our non-super users have for accessing (and making action with) data? 2.) What current models are used to address these needs to help users access and use our data? Together, we will discuss and brainstorm: 1.) What communities of potential users exist that we want to engage? 2.) How might we work together to leverage our assets to support these new users of our data?
Value to Session Participants: Goals of this session include: -Increase participants’ understanding of the specific data skills, cultural contexts, and engagement strategies required to effectively reach diverse user communities. -Provide opportunities for participants to learn of successful programs and initiatives that are empowering non-expert users to work with Earth science data. -Help participants identify potential partners and collaborative opportunities for empowering users with our data.
Recommended Ways to Prepare:
Review the following resources: https://www.earthdata.nasa.gov/about/deia/unbound https://ciesin-geospatial.github.io/TOPSTSCHOOL/ https://zenodo.org/communities/topstschool/ https://esiil.org/ https://earthlab.colorado.edu/
Elizabeth Joyner joined the Earth Science Data Systems (ESDS) Program Communications Team in 2022 as the Community Coordinator and works across the program to promote the use of NASA data and resources with end users. She previously served as the Senior Outreach Coordinator for NASA... Read More →
Developer of data sets and applications for NASA SEDAC and CIESIN at Columbia University. Adjunct Lecturer in GIS at Columbia College in the Sustainable Development Program. Interests in data informed decision-making and scientific computing.
The goal is to create a more equitable and accessible Earth science data landscape. To achieve this, we should prioritize understanding the specific needs of diverse user communities, including non-traditional users. By building on successful programs like ESIIL and TOPST-SCHOOL and fostering collaboration among organizations, we can share best practices and resources for making Earth and Environmental Data Science (EDS) education more accessible. Additionally, developing targeted outreach strategies and providing accessible training and resources can prepare users to effectively work with Earth science data. Finally, designing data products and services with the end-user in mind can enhance user experience and drive greater impact. In this engaging session, speakers will address the following: 1.) What are the needs that our non-super users have for accessing (and making action with) data? 2.) What current models are used to address these needs to help users access and use our data? Together, we will discuss and brainstorm: 1.) What communities of potential users exist that we want to engage? 2.) How might we work together to leverage our assets to support these new users of our data?
Value to Session Participants: Goals of this session include: -Increase participants’ understanding of the specific data skills, cultural contexts, and engagement strategies required to effectively reach diverse user communities. -Provide opportunities for participants to learn of successful programs and initiatives that are empowering non-expert users to work with Earth science data. -Help participants identify potential partners and collaborative opportunities for empowering users with our data.
Recommended Ways to Prepare: Review the following resources: https://www.earthdata.nasa.gov/about/deia/unbound https://ciesin-geospatial.github.io/TOPSTSCHOOL/ https://zenodo.org/communities/topstschool/ https://esiil.org/ https://earthlab.colorado.edu/
Elizabeth Joyner joined the Earth Science Data Systems (ESDS) Program Communications Team in 2022 as the Community Coordinator and works across the program to promote the use of NASA data and resources with end users. She previously served as the Senior Outreach Coordinator for NASA... Read More →
Developer of data sets and applications for NASA SEDAC and CIESIN at Columbia University. Adjunct Lecturer in GIS at Columbia College in the Sustainable Development Program. Interests in data informed decision-making and scientific computing.
Building on the Indigenous Data FUNding Friday project we plan to present on the methods and questions around indigenous data management needs with focus groups of communities that interact with indigenous groups. These focus groups include state and federal agency members, researchers at academic institutions, and indigenous non-profits.
By conducting conversations with liaison groups that work with numerous tribes, to understand scientific data management and cyberinfrastructure needs within tribes in order to: - Helping tribes promote data sovereignty - Compile existing data management training materials including technologies used that may help address knowledge gaps. - Identify subjects that are lacking training materials so they can be developed by ESIP and/or other appropriate communities. - Identify and share educational pathways that data managers in the ESIP community have taken - Co-produce and share this information with tribes to help them better advocate for the cyberinfrastructure and funding necessary to advance their own data sovereignty.
Our goal with this session is to get feedback from the ESIP community including people of color, minority communities, and indigenous peoples before proceeding with the interviews.
Value to Session Participants: Being able to give feedback on the methods being proposed, connecting indigenous communities and voices with the session organizers so they can be heard through this project. Allowing the many voices in ESIP to be able to have a say in shaping the project and maximize the impact it has on indigenous communities. The session represents an opportunity for federal agencies to fulfill trust responsibility with indigenous communities.
Recommended Ways to Prepare: Participants can think about their interactions with tribal communities and thinking about the things they've seen. Thinking about their own skills and technologies they use and how to effectively transfer them is very helpful.
Madison develops tools and workflows to make the USGS data release process more efficient for researchers and data managers. She also promotes data management best practices through the USGS’s Community for Data Integration Data Management Working Group and the USGS Data Management... Read More →
By training I am applied environmental ecologist, and am very interested in biological interactions in aquatic ecosystems. Currently, I work as a statewide data manager with the Idaho EPSCor GEM3 Project.
Supervisory Biologist, Eastern Band of Cherokee Indians
Dr. Caleb Hickman holds a Ph.D. in Zoology with an emphasis in ecology from the University of Wisconsin-Madison. He has worked at various universities, the Long Term Ecological Research network, and the Savannah River Ecology Laboratory, gaining extensive experience with species across... Read More →
