TY - JOUR
T1 - MetaFAIR
T2 - A Metadata Application Profile for Managing Research Data
AU - Tompkins, Vivian Teresa
AU - Honick, Brendan John
AU - Polley, Katherine Louise
AU - Qin, Jian
N1 - Publisher Copyright:
84 Annual Meeting of the Association for Information Science & Technology | Oct. 29 – Nov. 3, 2021 | Salt Lake City, UT. Author(s) retain copyright, but ASIS&T receives an exclusive publication license.
PY - 2021
Y1 - 2021
N2 - This paper reports on the development of a metadata application profile (AP), MetaFAIR, designed to support research data management (RDM) to make research data findable, accessible, interoperable, and reusable. The development of MetaFAIR followed a three-step process that included learning about the characteristics of datasets from researchers to establish their context and requirements, as well as iterative design and testing with researchers' feedback. Guided by the FAIR principles (Findability, Accessibility, Interoperability, and Reusability), MetaFAIR focuses on accommodating description needs particular to computational social science datasets while seeking to provide general enough elements to describe data collections across many different domains. In this paper, MetaFAIR is placed in the context of historical and recent developments in the areas of RDM and application profile creation; following this contextualization, the paper describes the central considerations and challenges of the MetaFAIR development process and discusses its significance for future work in RDM.
AB - This paper reports on the development of a metadata application profile (AP), MetaFAIR, designed to support research data management (RDM) to make research data findable, accessible, interoperable, and reusable. The development of MetaFAIR followed a three-step process that included learning about the characteristics of datasets from researchers to establish their context and requirements, as well as iterative design and testing with researchers' feedback. Guided by the FAIR principles (Findability, Accessibility, Interoperability, and Reusability), MetaFAIR focuses on accommodating description needs particular to computational social science datasets while seeking to provide general enough elements to describe data collections across many different domains. In this paper, MetaFAIR is placed in the context of historical and recent developments in the areas of RDM and application profile creation; following this contextualization, the paper describes the central considerations and challenges of the MetaFAIR development process and discusses its significance for future work in RDM.
KW - DCAT
KW - FAIR principles
KW - metadata application profiles
KW - Research data management
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U2 - 10.1002/pra2.461
DO - 10.1002/pra2.461
M3 - Article
AN - SCOPUS:85135041048
SN - 2373-9231
VL - 58
SP - 337
EP - 345
JO - Proceedings of the Association for Information Science and Technology
JF - Proceedings of the Association for Information Science and Technology
IS - 1
ER -