Dealing with Data: A Case Study on Information and Data Management Literacy, an article in the Community section of the PLoS Biology website, discusses the changes in data management compelled by the deluge of data, and the recognition that it was not being managed rationally or well.
In an era of Linked Open Data and the Semantic Web [10], research today comprises information in many forms: blogs, tweets, database entries, and grant reports that could be made available as Linked Data. The launch of new initiatives to accelerate publication and use of new and emerging technologies to enable improved data presentation [11] has spurred further conversations about enabling data-driven “publications” whereby the data itself is cited [12]. Further, it has been suggested that publications should be evaluated based on whether they have enriched content to provide interactivity, available datasets, and machine-readable metadata [13].
...Scientists today need to rely on data management not just at the end of a project, but during its whole life cycle. Thus, it's imperative that we develop the tools to handle data effectively and efficiently as we continue to consume and generate it. As a step towards facilitating quality data management practices, NIH has recently announced support for informationists to work on currently funded research grants [16].
... Libraries are an under-recognized resource in the field of data and information literacy. Librarians have increasingly become experts in data management because of their combined knowledge of new data sharing standards, information science, and the Semantic Web [24]. For instance, the eagle-i curation team consists of Semantic Web experts, ontologists, librarians, and domain curators. Information literacy has always been a topic of interest to research librarians, and it is natural that their role is expanding to include topics surrounding data curation and access.
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