Proper Attribution for Curation and Maintenance of Research Collections: Metadata Recommendations of the RDA/TDWG Working Group

Research collections are an important tool for understanding the Earth, its systems, and human interaction. Despite the importance of collections, many are not maintained or curated as thoroughly as we would like. Part of the reason for this is the lack of professional reward for collection, curatio...

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Bibliographic Details
Published in:Data science journal 2019-11, Vol.18 (1), p.54
Main Authors: Thessen, Anne E, Woodburn, Matt, Koureas, Dimitris, Paul, Deborah, Conlon, Michael, Shorthouse, David P, Ramdeen, Sarah
Format: Article
Language:English
Subjects:
attribution
biodiversity information standards
collections
curation
Futures
Information management
Metadata
ontology
research data alliance
tdwg
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Summary:Research collections are an important tool for understanding the Earth, its systems, and human interaction. Despite the importance of collections, many are not maintained or curated as thoroughly as we would like. Part of the reason for this is the lack of professional reward for collection, curation, or maintenance. To address this gap in attribution metadata, the Research Data Alliance (RDA) and the Biodiversity Information Standards (TDWG) organization co-endorsed a Working Group to create recommendations for the representation of attribution metadata. After 18 months, this Working Group recommended the use of PROV entities and properties to link people (Agent), the curatorial actions they perform (Activity), and the digital or physical objects they are curating (Entity). Assigning a Role to an Agent is optional. These recommendations are discussed in the context of the RDA, TDWG, and existing standards. Future work includes adapting these recommendations to the specific needs of TDWG and developing a pilot application in collaboration with ORCID and the Data Futures project. Keywords: attribution, metadata, ontology, Research Data Alliance, Biodiversity Information Standards, TDWG, collections, curation
ISSN:1683-1470
1683-1470
DOI:10.5334/dsj-2019-054