FAIR Implementation Profiles for the Social Sciences and Their Use Cases

FAIR Implementation Profiles (FIPs) are created and published to capture decisions made by communities on data curation and management. Despite that many FIPs were created in domains such as medicine and environmental science, few FIPs were available in social sciences. This extended abstract reports recent advances in creating and using FIPs in social sciences. It consists of a summary of available FIPs in social sciences. Three use cases were included to demonstrate how FIPs can be used to guide data management for researchers, organisations, and communities. Finally, we envision some future work on FIP development.

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Publication Details

Journal
Open Conference Proceedings
Published
2025-03-18
DOI
https://doi.org/10.52825/ocp.v5i.1352
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

FAIR Implementation Profiles for the Social Sciences and Their Use Cases

Angelica Maineri, Navroop K. Singh, Shuai Wang, Tycho Hofstra
Open Conference Proceedings
Research Data Management Practices
article

FAIR Implementation Profiles for the Social Sciences and Their Use Cases

Angelica Maineri, Navroop K. Singh, Shuai Wang, Tycho Hofstra
article en

Abstract

FAIR Implementation Profiles (FIPs) are created and published to capture decisions made by communities on data curation and management. Despite that many FIPs were created in domains such as medicine and environmental science, few FIPs were available in social sciences. This extended abstract reports recent advances in creating and using FIPs in social sciences. It consists of a summary of available FIPs in social sciences. Three use cases were included to demonstrate how FIPs can be used to guide data management for researchers, organisations, and communities. Finally, we envision some future work on FIP development.

Open Conference ProceedingsVol. 5
Vrije Universiteit Amsterdam (NL), Erasmus University Rotterdam (NL)
Openalex Percentile: Top 84%
Research Data Management Practices
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