Re-integrating scholarly infrastructure: The ambiguous role of data sharing platforms:
TLDR
A case study of the data storage, sharing, and management platform Figshare is presented, showing that Figshare leverages the platform logic of core and complementary components to re-integrate a presently splintered scholarly infrastructure.Abstract:
Web-based platforms play an increasingly important role in managing and sharing research data of all types and sizes. This article presents a case study of the data storage, sharing, and management...read more
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科研数据共享的挑战 (The Conundrum of Sharing Research Data)
TL;DR: Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: to reproduce or to verify research, to make results of publicly funded research available to the public, to enable others to ask new questions of extant data, and to advance the state of research and innovation.
Big data, little data, no data : scholarship in the networkedworld
TL;DR: Borgman as discussed by the authors argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure, an ecology of people, practices, technologies, institutions, material objects, and relationships.
Journal Article
Pandora's Hope. Essays on the Reality of Science Studies, by Bruno Latour. Cambridge, MA, London, UK: Harvard University Press, 1999.
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The Data Sharing Economy: On the Emergence of New Intermediaries
Heiko Richter,Peter R. Slowinski +1 more
TL;DR: In this article, the authors compare data sharing to the exchange of patents based on the FRAND principles, and suggest a possible way for self-regulation to provide more transparency and fairness in the growing markets for data sharing.
References
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Some elements of a sociology of translation: domestication of the scallops and the fishermen of St Brieuc Bay
TL;DR: In this article, the authors describe a scientific and economic controversy about the causes for the decline in the population of scallops in St. Brieuc Bay and the attempts by three marine biologists to develop a conservation strategy for that population.
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Critical questions for big data
danah boyd,Kate Crawford +1 more
TL;DR: The era of Big Data has begun as discussed by the authors, where diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people.
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Computational Social Science
David Lazer,Alex Pentland,Lada A. Adamic,Sinan Aral,Sinan Aral,Albert-László Barabási,Devon Brewer,Nicholas A. Christakis,Noshir Contractor,James H. Fowler,Myron P. Gutmann,Tony Jebara,Gary King,Michael W. Macy,Deb Roy,Marshall Van Alstyne,Marshall Van Alstyne +16 more
TL;DR: In this article, a field is emerging that leverages the capacity to collect and analyze data at a scale that may reveal patterns of individual and group behaviors at a large scale, such as behavior patterns.
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Notes on the theory of the actor-network: ordering, strategy and heterogeneity.
TL;DR: The actor-network theory as discussed by the authors is a body of theoretical and empirical writing which treats social relations, including power and organization, as network effects and argues that society and organization would not exist if they were simply social.
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Sorting Things Out: Classification and Its Consequences
TL;DR: The authors present fascinating history and insights into the development of various classification systems and identify issues that arise during the creation of any classification system, such as the need to compromise between providing granular classifications that satisfy needs specific to a time and place.