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As research across domains of study has become increasingly reliant on digital tools (librarianship included), the challenges in reproducibility have grown. Alongside this reproducibility challenge are the demands for open scholarship, such as releasing code, data, and articles under an open license. Before, researchers out in the field used to capture their environments through observation, drawings, photographs, and videos; now, researchers and the librarians who work alongside them must capture digital environments and what they contain (e.g. code and data) to achieve reproducibility. Librarians are well-positioned to help patrons open their scholarship, and it’s time to build in reproducibility as a part of our services. Librarians are already engaged with research data management, open access publishing, grant compliance, pre-registration, and it’s time we as a profession add reproducibility to that repertoire. In this webinar, organised by LIBER’s Research Data Management Working Group, speaker Vicky Steeves discusses how she’s built services around reproducibility as a dual appointment between the Libraries and the Center for Data Science at New York University.
RDM, research data management, reproducibility
RDM, research data management, reproducibility
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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