4.6 Article

CureSCi Metadata Catalog-Making sickle cell studies findable

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PLOS ONE
卷 17, 期 12, 页码 -

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PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0256248

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  1. National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health [OT3 HL147798]

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This study aims to enhance data sharing in Sickle Cell Disease (SCD) research by adopting the FAIR principles and developing the Cure Sickle Cell Initiative (CureSCi) MetaData Catalog (MDC). The MDC allows users to browse and search for studies, Patient-Reported Outcome (PRO) Measures, and data elements, facilitating the discovery and reuse of existing SCD data.
Objectives To adopt the FAIR principles (Findable, Accessible, Interoperable, Reusable) to enhance data sharing, the Cure Sickle Cell Initiative (CureSCi) MetaData Catalog (MDC) was developed to make Sickle Cell Disease (SCD) study datasets more Findable by curating study metadata and making them available through an open-access web portal. Methods Study metadata, including study protocol, data collection forms, and data dictionaries, describe information about study patient-level data. We curated key metadata of 16 SCD studies in a three-tiered conceptual framework of category, subcategory, and data element using ontologies and controlled vocabularies to organize the study variables. We developed the CureSCi MDC by indexing study metadata to enable effective browse and search capabilities at three levels: study, Patient-Reported Outcome (PRO) Measures, and data element levels. Results The CureSCi MDC offers several browse and search tools to discover studies by study level, PRO Measures, and data elements. The Browse Studies, Browse Studies by PRO Measures, and Browse Studies by Data Elements tools allow users to identify studies through pre-defined conceptual categories. Search by Keyword and Search Data Element by Concept Category can be used separately or in combination to provide more granularity to refine the search results. This resource helps investigators find information about specific data elements across studies using public browsing/search tools, before going through data request procedures to access controlled datasets. The MDC makes SCD studies more Findable through browsing/searching study information, PRO Measures, and data elements, aiding in the reuse of existing SCD data.

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