Institutional and Individual Influences on Scientists' Data Sharing Practices

Kim, Youngseek; Stanton, Jeffrey M.

doi:10.22369/issn.2153-4136/3/1/6

Cited by 55 publications

(66 citation statements)

References 34 publications

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“…Yet, there is also literature that reports positive individual returns from shared research data. Kim and Stanton [56] for instance explain that shared data can highlight the quality of a finding and thus indicate sophistication. Piwowar et al [45] report an increase in citation scores for papers, which feature supplementary data.…”

Section: Returnsmentioning

confidence: 99%

What Drives Academic Data Sharing?

2014

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Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of study results and the reuse of old data for new research questions. Based on a systematic review of 98 scholarly papers and an empirical survey among 603 secondary data users, we develop a conceptual framework that explains the process of data sharing from the primary researcher's point of view. We show that this process can be divided into six descriptive categories: Data donor, research organization, research community, norms, data infrastructure, and data recipients. Drawing from our findings, we discuss theoretical implications regarding knowledge creation and dissemination as well as research policy measures to foster academic collaboration. We conclude that research data cannot be regarded as knowledge commons, but research policies that better incentivise data sharing are needed to improve the quality of research results and foster scientific progress.

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Section: Returnsmentioning

confidence: 99%

What Drives Academic Data Sharing?

2014

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“…Second, universities could promote data sharing through institutional assistance. According to Kim and Stanton (2012), the compilation, preparation and sharing of research data are perceived as costly, thereby preventing researchers from sharing their data. Reducing these obstacles could result in a higher net bene…t of sharing data and help to generate a pro-data-sharing attitude.…”

Section: Possible Actions For Universitiesmentioning

confidence: 99%

Open access to research data: Strategic delay and the ambiguous welfare effects of mandatory data disclosure

Mueller‐Langer

Andreoli-Versbach

2018

Information Economics and Policy

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Mandatory data disclosure is an essential feature for credible empirical work but comes at a cost: First, authors might invest less in data generation if they are not the full residual claimants of their data after their …rst publication. Second, authors might "strategically delay" the time of submission of papers in order to fully exploit their data in subsequent research. We analyze a three-stage model of publication and data disclosure. We derive exact conditions for positive welfare e¤ects of mandatory data disclosure. However, we …nd that the transition to mandatory data disclosure has negative welfare properties if authors delay strategically.

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“…Data sharing enables researchers to ask new questions based on shared data, as well as advance research and innovation [14,15]. The medical community has found the benefits of data sharing [16,17], such as the system of open access that was released to the pharmaceutical industry by GlaxoSmithKline in May 2013.…”

Section: Open Data Accessmentioning

confidence: 99%

An Ecosystem Perspective On Asset Management Information

Metso

Kans

2017

Management Systems in Production Engineering

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Abstract:Big Data and Internet of Things will increase the amount of data on asset management exceedingly. Data sharing with an increased number of partners in the area of asset management is important when developing business opportunities and new ecosystems. An asset management ecosystem is a complex set of relationships between parties taking part in asset management actions. In this paper, the current barriers and benefits of data sharing are identified based on the results of an interview study. The main benefits are transparency, access to data and reuse of data. New services can be created by taking advantage of data sharing. The main barriers to sharing data are an unclear view of the data sharing process and difficulties to recognize the benefits of data sharing. For overcoming the barriers in data sharing, this paper applies the ecosystem perspective on asset management information. The approach is explained by using the Swedish railway industry as an example.

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Institutional and Individual Influences on Scientists' Data Sharing Practices

Cited by 55 publications

References 34 publications

What Drives Academic Data Sharing?

What Drives Academic Data Sharing?

Open access to research data: Strategic delay and the ambiguous welfare effects of mandatory data disclosure

An Ecosystem Perspective On Asset Management Information

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