Abstract
As the amount of research data management is growing, the use of identity metadata for discovering, linking, and citing research data is growing too. To support the awareness of different identifier systems and the comparison and selection of an identifier for a particular data management environment, there is need for a knowledge base. This article contributes to that goal and analyzes the data management and related literatures to develop a data identifier taxonomy. The taxonomy includes four categories (domain, entity types, activities, and quality dimensions). In addition, the article describes 14 identifiers referenced in the literature and analyzes them along the taxonomy.
Highlights
Funding agencies require applicants to submit plans for disseminating and providing access to research data.[1]
The study reviewed 70 different articles related to the issues of research data management and identifier schemas from both practice- and academic-focused journals
The article selection from both types of journals allowed reviewing practical systems and research issues. 40 different sources obtained from various institutional websites and conference presentations were reviewed and they added additional contextual understandings on identifier practices
Summary
Funding agencies require applicants to submit plans for disseminating and providing access to research data.[1]. METHODOLOGY This paper surveys identifier systems used in research data management by different communities and analyzes them along the different facets of their design and use These include the data entities and types of activity identifiers are used for, and conceptualizations of identifier quality. Various research institutions and communities (e.g., National Center for Biotechnology Information, Chemical Abstracts Service) developed domain-specific identifier schemas to meet their specific needs for identifying and linking datasets, research concepts and entities. Many social network websites (e.g., Facebook, Twitter, LinkedIn, etc.) provide an alternative identifier option (i.e., OpenID) for their users to integrate public identities and aggregate their content across the Web. O rganization The Organization is an entity type to identify organizations preserving, managing, or creating research data. Elsevier stores data as RDF documents in Linked Data Repository
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