Douglas Fils is a member of the San Diego Supercomputer Center’s (SDSC) Research Data Services division.
His activities include in the EarthCube DeCODER project where he works on knowledge graphs and semantic data modeling. Doug is active in the code development to support the backend process of data in support of this project. He is is also connected with the GO FAIR US organization and their Leidos Biomedical Research, Inc funded research subcontract to conduct data landscaping work on behalf of the National Institute of Allergy and Infectious Diseases (NIAID), part of the National Institute of Health (NIH). In this work he is focused on FAIR assessments and related elements of web architecture and related emerging approaches to FAIR.
Doug is active in the Earth Science Information Partners (ESIP), ML Commons and Research Data Alliance communities. He is also involved in the CODATA community through their Cross Domain Interoperability Framework (CDIF) which is working to support FAIR implementations for cross domain science.
⭐️ Overview
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The Data Director Agentic AI Blueprint Working Group is a time-bound, eight-week initiative convened by the Research Data Alliance ...
RDA Interest Group Charter
Name of Interest Group: Data Discovery Paradigms IG
Introduction:
The F.A.I.R. Principles, i.e. that data should be “Findable, Accessible, Interpretable and Reusable�...
The Data Repository Attributes Working Group seeks to produce a list of common attributes that describe a research data repository and to provide examples of the current approaches that different dat...
The Data Versioning WG has transitioned to the Data Versioning IG as of July 2021. The group space has remained the same.
The demand for reproducibility of research results and re-using data is gro...
Enabling FAIR Data in the Earth, Space, and Environmental Sciences
Open, accessible, and high-quality data and related data products and software are critical to the integrity of published research. ...
The Earth, space (planetary), and environmental science communities are developing, through multiple international efforts, both general and domain-specific leading practices for data, software, a...
The Data Fabric IG (DFIG) identified that working with data in the many scientific labs and most probably also in other areas such as industry and governance is highly inefficient and too costly. Exce...
Mission
The goal of the Open Science Graphs Interest Group (OSG IG) is to build on the outcomes and broaden the challenges of the Data Description Registry Interoperability (DDRI) and Scholarly Link E...
