Core Linked Data Interest Group

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Purpose: Provides a forum for discussion of issues related to Linked Library Data and the role of library metadata in the Semantic web. Goals include: raising awareness of Semantic Web technologies, such as the Resource Description Framework (RDF) and the use of URIs as identifiers within bibliographic descriptions; promoting research on linked data challenges, such as domain modeling and vocabulary selection and design; and informing the ongoing development of existing metadata standards for Libraries, Archives and Cultural Heritage Institutions.

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NLM efforts to improve the discoverability and reuse of research data: the Dataset Catalog beta

  • 1.  NLM efforts to improve the discoverability and reuse of research data: the Dataset Catalog beta

    Posted Feb 05, 2024 09:01 AM

    To the Core Linked Data Interest Group:

     

    The following announcement of a new discovery tool built on linked data models may be of interest to your group.

     

    The National Library of Medicine (NLM) launched the beta version of a new online tool, the Dataset Catalog. Developed to help improve the discoverability and reuse of research data, this tool aims to help users connect with multiple repositories through a single, user-friendly, "all-in-one" tool to search, find, and retrieve datasets. NLM developed the DATaset Metadata Model, or DATMM, using linked data ontologies and extensions, to provide information for describing data in datasets and repositories across the biomedical ecosystem. The Dataset Catalog serves as the interface to leverage DATMM in biomedical dataset discovery.

    The beta version of the Dataset Catalog indexes datasets from a limited collection of repositories and features minimal functionality initially. NLM seeks user feedback during this phase, which is expected to last approximately six months. User feedback collection is important to inform future product development, establish a community of users, gather usage analytics, and assess scalability and sustainability of the corpus.

    During this beta phase, we invite you to explore this tool for yourself, share with colleagues and submit your feedback to NLM (via the vertical blue "Give Feedback" button along the right-hand side of the Dataset Catalog website). Join our upcoming office hours to learn more about and provide feedback on this tool. 

     

    Tina Shrader (she/her)

    Deputy Chief/Acting Chief

    Discovery Branch

    National Library of Medicine