ESS-DIVE

Deep Insight for Earth Science Data

June Webinar on ESS-DIVE Project Management Features

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June Community Webinar

Monday, June 26 | 10:00-11:00 PT / 13:00-14:00 ET

Registration Link

ESS-DIVE has released our first set of features specifically dedicated to supporting projects’ data management needs. These features expand our existing suite of data management tools and provide a more comprehensive way for projects to collaborate on ESS-DIVE. During this webinar, learn about ESS-DIVE features that can be used for managing project data and the necessary steps to set up and leverage these tools. See our recent blog post for a brief description of the new project management features.

If you missed ESS-DIVE’s breakout session at the ESS PI meeting, please come join our June webinar!

This webinar is particularly geared toward helping Principal Investigators (PIs) and Data Managers set up their project data management on ESS-DIVE. We will cover the following topics:

  • Introduction to new project-centric features:
    • ESS-DIVE Project List
    • Project Manager role
    • Project page
    • Teams
    • Sharing Data Permissions
  • How PIs can start setting up project-centric data management on ESS-DIVE
  • Feedback session: tell us what your projects need!

*If you would like to follow along during the webinar, make sure you use your ORCiD to login to Sandbox before we begin: https://data-sandbox.ess-dive.lbl.gov/ 

Please encourage anyone from your project who may be interested to attend. This webinar will be presented by Madison Burrus.

Madison Burrus, Computer Systems Engineer

Madison is a computer systems engineer at Lawrence Berkeley National Lab. She supports ESS-DIVE metadata publication, data pipeline workflows, and feature development. Additionally, she is lead support staff and handles community inquiries. She holds a B.S. in Environmental Science from Stony Brook University.

Request for Information from the Biological and Environmental Research Advisory Committee

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The US Department of Energy’s Office of Science is seeking input on the need and the structure of a unified data framework that links or integrates existing data activities within the Biological and Environmental Research Program (BER).

The aim is to gather current and future science questions that require a more integrated data infrastructure for data access and processing, especially those that span more than one research area. As well as community input regarding what components or technologies are needed to develop a more unified data infrastructure, and what would improve accessibility to these resources for a broad range of communities, perspectives, and research domains.

Information may be used by the BER Advisory Committee (BERAC) to help inform and recommend a strategy for a unified BER data management and analysis framework.

To facilitate collection of responses, several BER programs have coordinated several mechanisms for feedback:

  1. Responses may be submitted via a form: https://bit.ly/BERACUnifiedDataRFI (requires a valid email to submit) with prompts listed in the request for information (RFI): https://www.govinfo.gov/content/pkg/FR-2023-04-17/pdf/2023-08029.pdf

  2. Listening sessions will be held on Zoom and recorded. The recording and transcript will be provided to BER, alongside a summary of points to each prompt.

    Wed Jun 7, 2023 at 9:00 am PT, 12:00 pm ET
    Register in advance for this meeting: bit.ly/BERACUnifiedDataRFIZoom1

    Tue Jun 27, 2023 at 8:00 am PT, 11:00 am ET
    Register in advance for this meeting: bit.ly/BERACUnifiedDataRFIZoom2

If you have any questions about the RFI, please contact Dr. Tristram O. West, (301) 903–5155, Tristram.west@science.doe.gov. If you have any questions about the provided feedback sessions, please contact Joan Damerow at JoanDamerow@lbl.gov.

ESS-DIVE Has Released New Project Management Features

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

ESS-DIVE at ESS CI Annual Meeting and ESS PI Meeting

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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, Lead: Community Engagement

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, Community Engagement 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, Lead: Community Engagement; 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, Community Engagement 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 community 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: Community-developed (meta)data reporting formats to enable data reuse in ESS-DIVE

Presenter: Charu Varadharajan, ESS-DIVE Co-PI, Lead: Community Engagement

February Webinar on ESS-DIVE and Urban Integrated Field Laboratories Data

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February Community 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 the community. We invite all who are part of an Urban IFL project and the broader ESS community 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, Community Engagement Lead Scientist

Joan is an environmental scientist with a diverse background in geoscience sampling, freshwater ecology, and biodiversity informatics. She runs engagement activities for ESS-DIVE, including ESS-DIVE webinars, our community 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 our community of 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 Community Engagement team. Her work with ESS-DIVE focuses on utilizing community 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.