FAIR Assessment Checklist for Data Repositories
Penn collection
Interdisciplinary Centers, Units and Projects::Penn Libraries::Scholarship at Penn Libraries
Degree type
Discipline
Library and Information Science
Subject
FAIR Principles
data curation
data repository
assessment
data curation
data repository
assessment
Funder
Grant number
Copyright date
2024-01-25
Distributor
Related resources
Author
Contributor
Kellam, Lynda
de la Cruz Gutierrez, Manuel
Rajpal, Neetu
Abstract
This assessment checklist is intended to support data repository managers who want to evaluate their repositories FAIR enabling practices. The FAIR checklist is provided as a guide to evaluating current implementation and future actions to make a repository FAIR enabling. The intention of this checklist is to allow for honest evaluation of concrete ways to be FAIR enabling, rather than admonishment for lack of adoption.
Advisor
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Publication date
2024-01-25
Volume number
Issue number
Publisher
University of Pennsylvania
Publisher DOI
Comments
There are two versions of this assessment provided. One version (FAIR_Assessment_Checklist_for_Data_Repositories_Implementation_V01.docx) includes a section for evaluating levels of FAIR implementation for each criteria. The second version (FAIR_Assessment_Checklist_for_Data_Repositories_No_Implementation_V01.docx) does not include the implementation evaluation section. The version with implementation levels is most helpful for those who are already familiar with the FAIR Principles and want an option to evaluate their implementation status overall. Thank you to the NIAGADS team at the University of Pennsylvania for collaborating on this topic together to support FAIR-er data repositories.
Recommended citation
Phegley, L., Kellam, L., de la Cruz Gutierrez, M., & Rajpal, N. (2024). FAIR Assessment Checklist for Data Repositories. University of Pennsylvania.