We are excited to announce that ESS-DIVE’s project management related services have been upgraded! You can now explore new tools and enhancements that make it easier to collaboratively manage project data with your team on ESS-DIVE.

• *NEW* Project List: A list of every project that is approved to store data on ESS-DIVE. Quickly verify that your project name and PI information are up-to-date. 
• *NEW* Project Data Manager role: Anyone given this role will have access to additional project information and features; this role is reserved for PIs and team members they approve.
• *NEW* Project Teams: Create a group of ESS-DIVE users and provide a way to share data permissions with all members of that group; manage team members to control group data access.

If you are interested in working 1:1 with ESS-DIVE to assign data managers for your project or set up teams, you can request to schedule a 30-minute meeting with ESS-DIVE Support. Please reach out to ESS-DIVE Support (ess-dive-support@lbl.gov) to schedule a meeting time.

We will also be presenting a hands-on tutorial on these project management features at the ESS PI Meeting on May 16th at 7:30 AM – 9:30 AM PT / 10:30 AM – 12:30 PM ET. Additionally, we will be holding a webinar on June 26th from 10 AM – 11 AM PT / 1 PM ET – 2 PM ET that will focus on these new project management features. We will send out an email announcement later this month.

Project list and search

• We now have a controlled list of every project approved to store and publish data on ESS-DIVE. 
  • All projects funded by the Department of Energy’s (DOE) Environmental System Sciences (ESS) program are automatically approved, and should be included in this list.
  • If you are an ESS funded project and do not see your project in this list, please email ESS-DIVE Support at ess-dive-support@lbl.gov. 

• After logging in with your ORCID, you can view Principal Investigator (PI) info; you can contact ESS-DIVE Support if any information is out of date.

 

Principal Investigators (PIs) can now assign project data managers

• A Project Data Manager can access additional project information and features via the new “My Projects” page. PIs can be given this role at any time, but must register as a data contributor first.
  

• PIs can assign other project data managers by completing the Add Project Data Managers form. All requested data managers must first register as ESS-DIVE data contributors.
  

• If you’re a PI and became a data contributor before May 5th, you are already a project data manager and can access the “My Projects” page!  
  • PIs can reach out to ESS-DIVE Support at ess-dive-support@lbl.gov if you cannot access the “My Projects” page.
    
• This new role does not affect access to datasets on ESS-DIVE. Project data managers will not receive default permission to access any datasets.

 

Create and share data with project teams

• Project data managers can now create Project Teams on ESS-DIVE. Teams are groups of ESS-DIVE users, and provide a new way of efficiently sharing data permissions with those groups!

• For project data managers: start creating teams for your project to leverage group data sharing in the future!
  • Choose team names that will help data contributors know which team they should share their data with.
  • Add/remove team members at any time to manage who can access datasets or data portals shared with that team.  

• For data contributors: easily share your datasets with a group of people all at once, instead of sharing with one person at a time. Ask your project data managers which teams to share your data with.
  • For a refresher on how to share dataset permissions, visit our Share Data Permissions documentation.
    

• Teams do not receive access to any datasets by default. Work with your project’s data contributors to enable team access to datasets.

The ESS-DIVE Team is looking forward to participating in the Environmental System Science (ESS) Cyberinfrastructure (CI) Working Group Annual Meeting and ESS PI Meeting on May 15th and May 16th-17th, respectively. Deb Agarwal, Charu Varadharahan, Shreyas Cholia, Joan Damerow, and Emily Robles will all be in-person for the ESS CI and ESS PI meetings! Below are some ways that you can engage with ESS-DIVE at both meetings:

ESS CI Working Group Annual Meeting – May 15th, 2023

Project Updates: ESS-DIVE 

Presenter: Charu Varadharajan, ESS-DIVE Co-PI

Date and Time: May 15th, 2023; 9:30 AM – 9:40 AM ET / 6:30 AM – 6:40 AM PT

Flash Talk: Interactive Supercomputing With Jupyter

Presenter: Shreyas Cholia, ESS-DIVE Co-PI, Lead: Scaling, Resilience and Integration

Date and Time: May 15th, 2023; 10:45 AM – 12:00 PM ET / 7:45 AM – 9:00 AM PT

Data: Breakout Round Robin

Leads: Joan Damerow, Lead Scientist; Ben Sulman (ORNL)

Date and Time: May 15th, 2023; 3:15 PM – 4:15 PM ET / 12:15 PM – 1:15 PM PT

Data Management supporting integration in ModEx, including 1) model inputs: types of data, data standards and metadata, gap filling, normalization and access, and 2) model outputs: formats, archiving and use in experimental design

Models: Breakout Round Robin

Leads: Charu Varadharajan, ESS-DIVE Co-PI; Ethan Coon (ORNL)

Date and Time: May 15th, 2023; 3:15 PM – 4:15 PM ET / 12:15 PM – 1:15 PM PT

Exploring the various types of watershed and ecosystem models, from phenomenological to process-based, their different roles and data needs and how best to use this broad range of models to address different scientific questions at different scales.

ESS PI Meeting – May 16th to 17th, 2023

ESS-DIVE tutorials: Managing project data on ESS-DIVE 

Presenter: Joan Damerow, Lead Scientist

Session Date and Time: May 16th, 2023; 10:30 AM -12:30 PM ET / 7:30 AM – 9:30 AM PT

Presentation Slides

This session is designed for PI’s and data managers who want to learn how to manage project data on ESS-DIVE. We will first provide an overview of how ESS-DIVE can support a project’s data management needs. The tutorial will then walk through how to use ESS-DIVE features for project data management, including: (1) new features to assign project data managers and create teams, (2) sharing data permissions with project members for collaborative editing and review, (3) creating portals to showcase project data collections, and (4) linking ess-dive datasets to other repositories.

ESS-DIVE tutorials: Creating and publishing high-quality datasets

Presenter: Emily Robles, Senior Research Associate 

Session Date and Time: May 16th, 2023; 1:00 PM – 2:30 PM ET / 10:00 AM – 11:30 AM PT

Presentation Slides

Learn how to upload and publish data with ESS-DIVE as a new contributor in this hands-on training session. We will cover all of the basics needed to get started with publishing datasets, from important considerations for organizing data and accompanying metadata, to choosing an upload method for dataset submission, and requesting publication and following the dataset review process. Our hands-on activity walks through creating and submitting a dataset to ESS-DIVE’s sandbox using our online submission form. We will also discuss ways that researchers can improve the quality of their datasets by using ESS-DIVE’s data and metadata formats.

Poster: ESS-DIVE Overview: A Scalable, User-focused Repository for Earth and Environmental

Presenter: Shreyas Cholia, ESS-DIVE Co-PI, Lead: Scaling, Resilience and Integration 

Poster: (Meta)data reporting formats to enable data reuse in ESS-DIVE

Presenter: Charu Varadharajan, ESS-DIVE Co-PI

ESS-DIVE Webinar

Monday, February 27 | 10:00-11:00 PT / 13:00-14:00 ET

View Webinar Recording / Link to Webinar Slides

ESS-DIVE is excited to welcome Urban Integrated Field Laboratory (Urban IFL) projects to DOE ESS. We invite all who are part of an Urban IFL project and broader ESS researchers to an introductory webinar about the ESS-DIVE data repository for Earth and environmental system science data, and associated resources for project data management. We will also have a discussion on data management needs for Urban IFL projects.  

We will cover the following topics:

• Overview of ESS-DIVE and our data;
• ESS-DIVE project data management features; 
• Resources to organize and curate high-quality datasets; and
• Discussion on Urban IFL data management needs.

Please encourage anyone from your project who may be interested to attend. 

The webinar will be presented by Joan Damerow and Emily Robles.

Joan Damerow, Lead Scientist

Joan is an environmental scientist with a background in geoscience sampling, freshwater ecology, and biodiversity informatics. She runs activities for ESS-DIVE, including ESS-DIVE webinars, our annual data workshop, and is active in relevant conferences and data working groups (e.g. ESIP, RDA, AGU). Joan is interested in interdisciplinary data management and tracking, and works with DOE ESS data contributors to identify, develop, and implement practical data standards in ESS-DIVE that support FAIR principles.

Emily Robles, Data Management Research Associate

Emily is a research associate and a member of ESS-DIVE’s team. Her work with ESS-DIVE focuses on utilizing research and feedback to implement a comprehensive data package review workflow for data publication. She has experience with data package organization and quality management as a member of the NGEE Tropics data team and received her BS in Environmental Science from the University of California, Berkeley.

ESS-DIVE Webinar

Monday, January 30 | 10:00-11:00 PT / 13:00-14:00 ET

View Webinar Video / Link to Webinar Slides

Are you interested in publishing or using data from small Unoccupied Aerials Systems (UAS)? With rapid development of platform and sensor technologies, the use of UASs, also known as UAVs or drones, in Earth sciences is becoming increasingly common. This webinar will review the new UAS data and metadata reporting format that is in development, and provide you an opportunity to give feedback.

We will cover the following topics:

• Benefits of using reporting formats,
• Types of data that this format will cover and associated challenges,
• Metadata variables to describe flight details and equipment, 
• Categorizing data by processing level, and
• Discussion and feedback. 

You can review the draft UAS data and metadata reporting format before the webinar, although this is not required to attend.  This webinar will be presented by Kim Ely and Shawn Serbin from Brookhaven National Laboratory (BNL).

Please encourage anyone from your project who may be interested to attend.

The ESS-DIVE Team is looking forward to participating in the 2022 AGU Fall Meeting. Below are several abstracts that we will be presenting at the meeting!

BASIN-3D: Data Synthesis Software for Earth Science Researchers (H12P-0874)

Presenter: Danielle Christianson
Presentation Type: Poster
Session Date and Time: Monday, 12 December 2022; 9:00 AM – 12:30 PM CST / 7:00 AM – 10:30 AM PST
Session Number and Title: H12P: Hydroinformatics and Data Science: Pathways to Support Reproducible Watershed Modeling II Poster
Session URL: https://agu.confex.com/agu/fm22/webprogrampreliminary/Paper1153073.html

Abstract

Danielle S Christianson, Valerie C Hendrix, Catherine Wong, Charuleka Varadharajan, and Deb Agarwal, Lawrence Berkeley National Laboratory, Berkeley, CA, United States

 

Developed (meta)data reporting formats to enable data reuse in environmental repositories (IN41A-06)

Presenter: Charuleka Varadharajan
Presentation Type: Online Poster Discussion
Session Date and Time: Thursday, 15 December 2022; 8:40 AM – 8:48 AM CST / 6:40 AM – 6:48 AM PST
Session Number and Title: IN41A: Adopting Trustworthy Data Repository Stewardship to Enable Reuse of Data Across Disciplines I Online Poster Discussion
Session URL: https://agu.confex.com/agu/fm22/webprogrampreliminary/Paper1163669.html

Abstract

Charuleka Varadharajan¹, Robert Crystal-Ornelas¹, Dylan O’Ryan², Bond-Lamberty Benjamin³, Kathleen Beilsmith⁴, Kristin Boye⁵, Madison Burrus¹, Shreyas Cholia¹, Danielle S Christianson¹, Michael Cameron Crow⁶, Joan E Damerow¹, Kim S Ely⁷, Amy E Goldman⁸, Susan L Heinz⁹, Valerie C Hendrix¹, Zarine Kakalia¹, Kayla Cerise Mathes¹⁰, Fianna O’Brien¹, Stephanie C Pennington^11,12, Emily Robles¹, Alistair Rogers⁷, Maegen Simmonds^1,13, Terri Velliquette⁶, Pamela Weisenhorn¹⁴, Jessica Nicole Welch⁶, Karen Whitenack¹ and Deb Agarwal¹, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Lab, Berkeley, CA, United States, (3)Pacific Northwest National Laboratory, College Park, MD, United States, (4)Argonne National Laboratory, Chicago, United States, (5)SLAC National Acceleratory Laboratory, Stanford Synchrotron Radiation Lightsource, Menlo Park, CA, United States, (6)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (7)Brookhaven National Laboratory, Environmental Sciences Department, Upton, NY, United States, (8)Pacific Northwest National Laboratory, Biological Sciences, Richland, WA, United States, (9)Oak Ridge National Laboratory, Oak Ridge, United States, (10)Virginia Commonwealth University, Integrative Life Sciences, Richmond, VA, United States, (11)Pacific Northwest National Laboratory, College Park, United States, (12)Joint Global Change Research Institute, College Park, United States, (13)Pivot Bio, Berkeley, United States, (14)Argonne National Laboratory, Argonne, IL, United States

 

A FAIR Guided Approach to Improving Metadata Quality in a Large Scale Data Repository (IN41A-03)

Presenter: Emily Robles
Presentation Type: Online Poster Discussion
Session Date and Time: Thursday, 15 December 2022; 8:16 AM – 8:24 AM CST / 6:16 AM – 6:24 AM PST
Session Number and Title: IN41A: Adopting Trustworthy Data Repository Stewardship to Enable Reuse of Data Across Disciplines I Online Poster Discussion
Session Link: https://agu.confex.com/agu/fm22/webprogrampreliminary/Paper1199893.html

Abstract

Emily Robles¹, Charuleka Varadharajan¹, Madison Burrus¹, Shreyas Cholia¹, Robert Crystal-Ornelas¹, Joan E Damerow¹, Hesham Elbashandy¹, Valerie C Hendrix¹, Christopher S. Jones², Matthew B. Jones³, Zarine Kakalia¹, Mario Melara¹, Fianna O’Brien¹, Peter Slaughter², Karen Whitenack¹ and Deb Agarwal¹, (1) Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2) National Center for Ecological Analysis and Synthesis, Santa Barbara, CA, United States, (3) National Center for Ecological Analysis and Synthesis, DataONE, Santa Barbara, CA, United States

 

Enabling proper Citation of Individual Objects Across Large Collections of Datasets (IN42B-0338)

Presenter: Deb Agarwal
Presentation Type: Poster
Session Date and Time: Thursday, 15 December 2022; 9:00 AM – 12:30 PM CST / 7:00 AM – 10:30 AM PST
Session Number and Title: IN42B: Adopting Trustworthy Data Repository Stewardship to Enable Reuse of Data Across Disciplines II Poster
Session Link: https://agu.confex.com/agu/fm22/webprogrampreliminary/Paper1188622.html

Abstract

Deb Agarwal¹, Martina Stockhause², Lesley A Wyborn³, Justin James Henry Buck⁴, James Ayliffe⁴ and Shelley Stall⁵, (1) Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2) German Computing Centre (DKRZ), Hamburg, Germany, (3) Australian National University, Canberra, ACT, Australia, (4) National Oceanography Center, BODC, Liverpool, United Kingdom, (5) American Geophysical Union, Data Leadership, Washington, DC, United States

 

Sample tracking and synthesis needs for exploring ecosystem response to environmental disturbance (IN55A-03)

Presenter: Joan Damerow
Presentation Type: Oral
Session Date and Time: Friday, 16 December 2022; 3:06 PM – 3:14 PM CST / 1:06 PM – 1:14 PM PST
Session Number and Title: IN55A: Global Efforts to Make Samples, Specimens, and Sampling Features (As Well Digital Information About Them) Comply with the FAIR and CARE Principles III Oral
Session Link: https://agu.confex.com/agu/fm22/webprogrampreliminary/Paper1121127.html

Abstract

Joan E Damerow¹, Elisha M Wood-Charlson¹, Charuleka Varadharajan¹, Mikayla Borton², Eoin Brodie³, Richard S. Canon⁴, Shreyas Cholia¹, Paramvir Dehal⁵, Zachary Crockett⁶, Emiley Eloe-Fadrosh⁷, Ricardo J Eloy Alves⁸, Kjiersten Fagnan⁷, Amy E Goldman⁹, David Hays¹⁰, Valerie C Hendrix¹, Lee Ann McCue¹¹, Nancy Shiao-Lynn Merino¹², Marka Miller⁴, Chris Mungall¹³, Supratim Mukherjee¹⁰, T.B.K. Reddy¹⁰, Patrick Sorensen³, Montana L Smith¹⁴, James Stegen¹⁵, Pajau Vangay⁴, Pamela Weisenhorn¹⁶, Steven Wilson¹⁷ and Deb Agarwal¹, (1) Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2) Colorado State University, Soil and Crop Sciences, Fort Collins, United States, (3) Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, CA, United States, (4) Lawrence Berkeley National Laboratory, Berkeley, United States, (5) Lawrence Berkeley National Lab, Berkeley, United States, (6) Oak Ridge National Laboratory, Oak Ridge, United States, (7) Joint Genome Institute, Walnut Creek, CA, United States, (8) Lawrence Berkeley National Laboratory, CESD, Berkeley, CA, United States, (9) Pacific Northwest National Laboratory, Biological Sciences, Richland, WA, United States, (10) Joint Genome Institute, Berkeley, United States, (11) Pacific Northwest National Lab, Richland, United States, (12) Lawrence Livermore National Laboratory, Livermore, United States, (13) Lawrence Berkeley National Laboratory, Environmental Genomics and Systems Biology, Berkeley, United States, (14) Pacific Northwest National Laboratory, Environmental Molecular Sciences Laboratory, Richland, United States, (15) Pacific Northwest National Laboratory, Richland, United States, (16) Argonne National Laboratory, Argonne, IL, United States, (17)Joint Genome Institute, Berkeley, CA, United States