## Overview ### Project Goals - To address the need for trustworthy, explainable, and community-endorsed data for scientific and public interest use. - Key differentiators from previous work: - Trust measures to guide better data use - Community-driven rubrics - An emphasis on publishable flags that indicate whether data are “fit for purpose”/relevant use ## Timeline - Start: 2025-08-04 - End: 2026-07-31 ## Participants ### IQSS - Gary King - Ceilyn Boyd - Phil Durbin - JP Tosca - Julian Gautier ### Google - Natasha Noy - Prem Ramaswamy ### NYU - Julia Lane - Rick Hendra - Reva Schwartz - Jessica Cunningham ### UNC - Rebecca Boyles ### Resources - [Local Google Folder](https://drive.google.com/drive/folders/1JgrfcQKmp4R_WUnGFMzE9Ri1ly8pycuL?usp=drive_link) (restricted) - [Dataverse Trusted Data Labels Design and Implementation Charter](https://docs.google.com/document/d/15kRiO_Y9uhnuAt6jK-7X8jB42wRegF67TiD3ngAC91Y/edit?usp=sharing) (includes notes and status updates) (restricted) - [Kick-off Slides](https://docs.google.com/presentation/d/1xZffMoTnyFE1wRxaSQIjBWuo0gKkje7h9V4EsUvDFO8/edit?usp=sharing) (restricted)
