Research Data: Who Will Share What, with Whom, When, and Why?

Abstract

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Institutional and individual factors affecting scientists' data‐sharing behaviors: A multilevel analysis

“…A number of later studies also commented on the gap between Merton's norms of scientists and their actual behaviors (Cronin, 1984;Kellogg, 2006;Ziman, 2000). Unlike traditional publication methods, data sharing does not have standard or formal mechanisms of citation and thus cannot provide appropriate rewards for the scientists who collected the data (Borgman, 2010). As a result, data sharing has not yet been established as a major scholarly communication method throughout different scientific communities (Borgman, 2007;Tenopir et al, 2011).…”

“…Earlier efforts focused on the development of data repositories and relevant technical tools to facilitate scientists' data sharing. However, diverse external issues, including the policies developed by funding agencies and journals, continue to influence scientists' data sharing (Borgman, 2010). Related to these institutional issues, individual scientists' perceptions toward data sharing significantly influence their data-sharing behaviors (Tenopir et al, 2011).…”

Features of Big Data and sparsest solution in high confidence set

“…or "Who will share what, with whom, when, and why?" are key questions for the communities in information and computer sciences, particularly in the areas of data curation and data provenance; see Borgman (2010) and Edwards et al (2011). Data/digital curation, as defined by the US National Academies, is "the active management and enhancement of digital information assets for current and future use," and data provence is "a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing"; see Moreau et al (2013).…”

The value and challenges of public sector information

“…Possibly the greatest value of open datasets and public sector information, in both economic and social terms, is the capacity to foster innovation and the development of new products, The rapid growth of these technological innovations, the cyber infrastructure that supports data-intensive research, access to 'big data' and burgeoning R&D investments are producing quantifiable results including discoveries of new health benefits (drugs, diagnoses and therapies), greater understanding of environmental health, and better capability to examine history and the social sciences (Borgman 2010 (Fayyad, Piatetsky-Shapiro & Smyth 1996).…”