Getting in touch with metadata: a DDI subset for FAIR metadata production in clinical psychology

Autor: João Aguiar Castro, Joana Rodrigues, Paula Mena Matos, Célia M D Sales, Cristina Ribeiro
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: IASSIST Quarterly, Vol 47, Iss 1 (2023)
Druh dokumentu: article
ISSN: 2331-4141
DOI: 10.29173/iq1008
Popis: To address metadata with researchers it is important to use models that include familiar domain concepts. In the Social Sciences, the DDI is a well-accepted source of such domain concepts. To create FAIR data and metadata, we need to establish a compact set of DDI elements that fit the requirements in projects and are likely to be adopted by researchers inexperienced with metadata creation. Over time, we have engaged in interviews and data description sessions with research groups in the Social Sciences, identifying a manageable DDI subset. A recent Clinical Psychology project, TOGETHER, dealing with risk assessment for hereditary cancer, considered the inclusion of a DDI subset for the production of metadata that are timely and interoperable with data publication initiatives in the same domain. Taking a DDI subset identified by the data curators, we make a preliminary assessment of its use as a realistic effort on the part of researchers, taking into consideration the metadata created in two data description sessions, the effort involved, and overall metadata quality. A follow-up questionnaire was used to assess the perspectives of researchers regarding data description.
Databáze: Directory of Open Access Journals