TY - GEN
T1 - FAIR Implementation Profiles for Social Science
AU - Wang, Shuai
AU - Maineri, Angelica
AU - Singh, Navroop K.
AU - Kuhn, Tobias
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - FAIR Implementation Profile (FIP) is a special kind of linked data that consists of questions and answers about communities’ decisions about the use of resources regarding the FAIR principles. Some FIPs have been created to capture collective decisions by communities. However, FIPs have not been widely adopted by the communities in social science. In this paper, we explore how FIPs can capture the decisions of communities in social science by creating their FIPs and comparing them against existing attempts. The created FIPs could be used as a structured way of cataloging FAIR-related implementation, comparing the resources used across communities, as well as understanding the practice of FAIR principles. We perform our analysis by generating the FAIR Convergence Matrix and comparing the resources used and their use. Finally, we discuss the lessons learned and the limitations of this approach.
AB - FAIR Implementation Profile (FIP) is a special kind of linked data that consists of questions and answers about communities’ decisions about the use of resources regarding the FAIR principles. Some FIPs have been created to capture collective decisions by communities. However, FIPs have not been widely adopted by the communities in social science. In this paper, we explore how FIPs can capture the decisions of communities in social science by creating their FIPs and comparing them against existing attempts. The created FIPs could be used as a structured way of cataloging FAIR-related implementation, comparing the resources used across communities, as well as understanding the practice of FAIR principles. We perform our analysis by generating the FAIR Convergence Matrix and comparing the resources used and their use. Finally, we discuss the lessons learned and the limitations of this approach.
KW - FAIR Convergence Matrix
KW - FAIR Implementation Profile
KW - Metadata
KW - Nanopublication
KW - Social Science
UR - http://www.scopus.com/inward/record.url?scp=85200972898&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85200972898&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-65990-4_26
DO - 10.1007/978-3-031-65990-4_26
M3 - Conference contribution
AN - SCOPUS:85200972898
SN - 9783031659898
T3 - Communications in Computer and Information Science
SP - 284
EP - 290
BT - Metadata and Semantic Research
A2 - Garoufallou, Emmanouel
A2 - Sartori, Fabio
PB - Springer Science and Business Media Deutschland GmbH
T2 - 17th Research Conference on Metadata and Semantic Research, MTSR 2023
Y2 - 25 October 2023 through 27 October 2023
ER -