2025 July ESIP Meeting

Name: Shared approaches to automating data quality assessment across the repository landscape
Start: 2025-07-22T14:00:00-0700
End: 2025-07-22T15:30:00-0700

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

Tuesday July 22, 2025 2:00pm - 3:30pm PDT

TBA

Data fitness-for-purpose is an ongoing and critical issue for researchers and repositories that house Earth science data for discovery, access, and reuse. While much work has been done within disciplines and within specific institutions on how to quantify data quality, there is less consensus on how to standardize and share FAIR data assessments across disciplines. In this session, we will build on the existing momentum of ESIP partners focused on these issues, including work from the Data Readiness, Information Quality, and Data Stewardship clusters. The goal of the session will be to examine interoperability among automated assessment frameworks so that different groups can benefit from each others’ work in building and implementing assessment frameworks. For example, the DataONE MetaDIG framework assesses dataset FAIR checks across the 63 members of the network, and is extending its work into both general and discipline-specific data quality checks. Similarly, programs like NOAA’s GOMO Argo project, NCEI, and other examples like GoFAIR have developed approaches to automated quality assessment that could inform our discussions.

The session will start with 2-3 short introductory talks that introduce current approaches to automated FAIR data assessment, followed by breakout groups to identify areas of potential interoperability in both general and discipline-specific data quality checks.

Potential outputs:

- Brainstorm/Identify discipline-agnostic quality assessment checks
- Brainstorm/Identify discipline-specific data quality libraries / tests to build on
- Comparison of assessment systems and their assessment request and report formats
- Ideas for solving the distributed data problem for data assessment across repository networks
- Recommendations for standardized assessment protocols that enable cross-repository collaboration.

Value to Session Participants: We expect participants to benefit by 1) learning about existing initiatives in data quality assessment; 2) gaining an increased appreciation of areas of interoperability in automated assessment; and 3) gaining new collaborators to help with shared implementation and operationalization of interoperable data quality frameworks.

Recommended Ways to Prepare for this Session: Participants can review literature on data quality assessment and approaches to automated data quality assessment, and can spend time thinking about the needs and use cases they might have for automated assessment tooling that interoperates across repositories.

Speakers