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Are data repositories fettered? A survey of current practices, challenges, and future technologiesPurpose The purpose of this study is to explore current practices, challenges, and technological needs of different data repositories. Design An online survey was designed for data repository managers and contact information from the re3data data repository registry was collected to disseminate the survey. Findings In total 189 responses were received, including 47% discipline specific and 34% institutional data repositories. 71% of the repositories reporting their software used bespoke technical frameworks, with DSpace, EPrint, and Dataverse being commonly used by institutional repositories. 32% of repository managers reported tracking secondary data reuse while 50% would like to. Among data reuse metrics, citation counts were considered extremely important by the majority, followed by links to the data from other websites and download counts. Despite their perceived usefulness, repository managers struggle to track dataset citations.Most repository managers support dataset and metadata quality checks via librarians, subject specialists or information professionals. A lack of engagement from users and a lack of human resources are the top two challenges, and outreach is the most common motivator mentioned by repositories across all groups. Ensuring FAIR data (49%), providing user support for research (36%) and developing best practices (29%) are the top three priorities for repository managers. The main recommendations for future repository systems are - integration and interoperability between data and systems (30%), better research data management tools (19%), tools that allow computation without downloading datasets (16%) and automated systems (16%). Originality This study identifies the current challenges and needs for improving data repository functionalities and user experiences.
Identifying data sharing and reuse with Scholix: potentials and limitationsThe Scholexplorer API, based on the Scholix (Scholarly Link eXchange) framework, aims to identify links between articles and supporting data. This quantitative case study demonstrates that the API vastly expanded the number of datasets previously known to be affiliated with University of Bath outputs, allowing improved monitoring of compliance with funder mandates by identifying peer-reviewed articles linked to at least one unique dataset. Availability of author names for research outputs increased from 2.4% to 89.2%, which enabled identification of ten articles reusing non-Bath-affiliated datasets published in external repositories in the first phase, giving valuable evidence of data reuse and impact for data producers. Of these, only three were formally cited in the references. Further enhancement of the Scholix schema and enrichment of Scholexplorer metadata using controlled vocabularies would be beneficial. The adoption of standardized data citations by journals will be critical to creating links in a more systematic manner.