EGU23-10300, updated on 21 Jul 2023
https://doi.org/10.5194/egusphere-egu23-10300
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Open and FAIR sample based data sharing through the IEDA2 facility

Lucia Profeta1, Kerstin Lehnert1, Peng Ji1, Gokce Ustunisik2, Roger Nielsen2, Dave Vieglais3, Douglas Walker3, Karin Block4, and Michael Grossberg4
Lucia Profeta et al.
  • 1Columbia University, Lamont-Doherty Earth Observatory, Palisades, United States of America
  • 2South Dakota Mines, Rapid City, United States of America
  • 3University of Kansas, Lawrence, United States of America
  • 4City College of New York, New York, United States of America

IEDA, the Interdisciplinary Earth Data Alliance, is a unique collaborative data infrastructure that provides and continuously evolves a comprehensive ecosystem of data, tools, and services that support researchers in the Geosciences to share and access sample data following the FAIR data principles and ensure open, reproducible, and transparent science practices.

The ‘next generation’ of IEDA - IEDA2 - was funded by the US National Science Foundation in 2022 for 5 years to advance the existing data systems and services of EarthChem (geochemistry data repository, data synthesis, and data access portals), LEPR/TraceDs (synthesis of data from petrological experiments), and SESAR (System for Earth Sample Registration), modernizing system architecture to better support computational and data-driven research, improving usability, and growing a diverse and inclusive user audience through education and engagement.

Our target is to enable a common understanding of existing information that is validated through expert data curation to enable transparent and reproducible (re)use and analysis of data, inform peer review, and guide future research directions. Such common understanding cannot develop unless the community can access and assess the same information.

This collective vision of the data will improve the ability of the entire community to assess the context and significance of new data and models, allow reviewers to evaluate new models that are calibrated using the data, and facilitate new generations of research.

How to cite: Profeta, L., Lehnert, K., Ji, P., Ustunisik, G., Nielsen, R., Vieglais, D., Walker, D., Block, K., and Grossberg, M.: Open and FAIR sample based data sharing through the IEDA2 facility, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-10300, https://doi.org/10.5194/egusphere-egu23-10300, 2023.