2014
DOI: 10.21083/partnership.v9i1.2988
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Developing a Research Data Management Service – a Case Study

Abstract: Publicly-funded, researcher-generated data has been on the front burner lately, driven by a variety of factors, including evolving funding-agency policies and journal publisher requirements. In this context, Queen's University Library (QUL) developed and implemented a Research Data Management (RDM) Service to meet researchers' needs. This process is described here, framed around four main themes: planning, building, educating, and doing.

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“…Tenopir et al [6] pointed out that science becomes more collaborative, data-intensive, and computational, and academic researchers face a series of data management needs. Meanwhile, Moon's study [14] shows that research funding agencies require researchers to provide DMPs when they apply for a grant and publishers also require researchers to provide data when publishing research results. Curdt's study [15] indicated that science conducted in cross-institutional, interdisciplinary, and long-term research projects requires active sharing of data, documents, and further information.…”
Section: Related Workmentioning
confidence: 99%
“…Tenopir et al [6] pointed out that science becomes more collaborative, data-intensive, and computational, and academic researchers face a series of data management needs. Meanwhile, Moon's study [14] shows that research funding agencies require researchers to provide DMPs when they apply for a grant and publishers also require researchers to provide data when publishing research results. Curdt's study [15] indicated that science conducted in cross-institutional, interdisciplinary, and long-term research projects requires active sharing of data, documents, and further information.…”
Section: Related Workmentioning
confidence: 99%