2011
DOI: 10.1045/january2011-aalbersberg
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Supporting Science through the Interoperability of Data and Articles

Abstract: This poster reports on the preliminary findings of a study that examines data curation work in institutional repositories (IR). The study identified three perceived roles played by IR staff (i.e., data curator, IR manager, and metadata specialist) and role-specific sets of activities and skills. The findings of this study can inform the development of best practices and effective infrastructure support for data curation in the context of IRs, as well as teaching data curation in LIS schools.

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Cited by 6 publications
(4 citation statements)
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References 6 publications
(6 reference statements)
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“…The access and sharing of research data have been emphasized by the government [1], funding agencies [2–4] and scholarly communities [5,6]. The increased access to research data elevates the impact, efficiency, and effectiveness of scientific activities and funding opportunities.…”
Section: Introductionmentioning
confidence: 99%
“…The access and sharing of research data have been emphasized by the government [1], funding agencies [2–4] and scholarly communities [5,6]. The increased access to research data elevates the impact, efficiency, and effectiveness of scientific activities and funding opportunities.…”
Section: Introductionmentioning
confidence: 99%
“…Since its launch in 2009, the DataCite consortium has assigned some 2 million Digital Object Identifiers (DOIs) to help make research data discoverable and citable. 1 In 2011, Elsevier launched an initiative to link papers to the underlying data sets in many different repositories and databases (Aalbersberg and Kähler, 2011). In June 2012, the Association of Scientific, Technical and Medical publishers signed a joint statement with DataCite to encourage publishers and data centres to link papers and underlying data.…”
Section: Identifying Discovering and Citing Datamentioning
confidence: 99%
“…SciVerse ScienceDirect supports a number of methods to link with data repositories, including author-based tagging schemes, automatically generated data-linking banners (see also Aalbersberg & Kähler 2011), and datalinking applications. The most appropriate choice depends on the nature of the data and the database and on how the information is best presented to the reader.…”
Section: Linking Sciverse Sciencedirect and Data Repositoriesmentioning
confidence: 99%