Data Management

Data Management (DM) Working Group addresses data needs of the ESS Community:

  • Data Preservation, Sharing, and Publication
  • Common Data and Metadata Standards
  • Data Citation and Attribution
  • Data Federation across different data catalogs
  • Data Synthesis across ESS and other relevant data sources
  • Development of common Tools for data usage
  • QA/QC, processing, analysis, mining and visualizing data to prepare them for use, especially in new research applications such as AI.

The Data Management Working Group collaborates with members of the ESS Community by providing opportunities to interact with each other through quarterly and annual meetings to ensure their short and long-term needs are met at ESS-DIVE and other DOE data type specific repositories (i.e. ESGF, EMSL, JGI, AmeriFlux). The opportunity for cross-project/institution/discipline interaction of our many forward-looking members is invaluable since data management is central to virtually all aspects of Environmental System Science and the ModEx cycle. By establishing shared, standard tools and workflows, the archival of the rapidly-growing, diverse data is facilitated. These archived data will inform model representations of environmental systems, and the model results and analyses should guide future data collections. Towards these goals, ESS-DIVE is the primary repository for archiving data generated by ESS projects following the guidance and requirements of the 2023 DOE Public Access Plan and the DOE Office of Science Statement on Digital Management.

Data Management Leads

Danielle Svehla Christianson Danielle Svehla Christianson
dschristianson@lbl.gov
Lawrence Berkeley National Laboratory
Terri Velliquette Terri Velliquette
velliquettet@ornl.gov
Oak Ridge National Laboratory

Want to contribute? Ask the leads to join the Google Group: ess-community-dm@googlegroups.com

Quarterly Meetings

The DM WG holds quarterly meetings in the 2nd month of the business quarter on the 4th Thursday at 12:00 PT / 3:00 ET (unless rescheduled due to holidays/conflicts).

Past meeting topic and session leaders:

FY2025

Q3: ML/LLM/AI/Agentic-AI Working Group discussion
David Moulton (LANL)

Q2: Experiences & Improvements to Archiving Model Data Products
Zhi Li (PNNL), Rosemary Carroll (Desert Research Institute)

Q1: ESS-DIVE Annual Data Workshop: Needs for ESS data discovery & use
Danielle Christianson (LBNL), Terri Velliquette (ORNL)

FY2024

Q4: Tools for implementing Reporting Formats (continued)
Tom Ruggles, Terri Velliquette, (ORNL), Sigrid Dengel (LBNL) , Dylan O’Ryan (LBNL)

Q3: Tools for implementing Reporting Formats
Gilberto Pastorello, Valerie Hendrix (LBNL), Brieanne Forbes, Amy Goldman (PNNL)

Q2: BERAC Unified Data Report & ESS-DIVE proposal input
Pamela Weisenhorn (ANL), Kjiersten Fagnan, Charu Varadharajan (LBNL)

Q1: NMDC submission portal & EMSL metadata template
Montana Smith (PNNL)

FY2023

Q4: Data integration brainstorming for BERAC Unified Data RFI
Kjiersten Fagnan, Danielle Christianson (LBNL)

Q3: ESS CI Annual Mtg follow up / BERAC Unified Data RFI
Kjiersten Fagnan (LBNL)

Q2: Valuing Data and Software as Scientific Products
Pamela Weisenhorn (ANL), Tim Scheibe (PNNL)

Q1: ESS-DIVE Community Reporting Formats
Charuleka Varadharajan, Joan Damerow, Emily Robles (LBNL)

FY2022

Q4: Kickoff! Planning & topic selection