Data sharing policies and incentives for data sharing: An interview study with members of funding agencies (ICPSR doi:10.34934/DVN/JCMXTY)

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Document Description

Citation

Title:

Data sharing policies and incentives for data sharing: An interview study with members of funding agencies

Identification Number:

doi:10.34934/DVN/JCMXTY

Distributor:

Social Sciences and Digital Humanities Archive – SODHA

Date of Distribution:

2022-08-23

Version:

1

Bibliographic Citation:

Devriendt, Thijs, 2022, "Data sharing policies and incentives for data sharing: An interview study with members of funding agencies", https://doi.org/10.34934/DVN/JCMXTY, Social Sciences and Digital Humanities Archive – SODHA, V1

Study Description

Citation

Title:

Data sharing policies and incentives for data sharing: An interview study with members of funding agencies

Identification Number:

doi:10.34934/DVN/JCMXTY

Authoring Entity:

Devriendt, Thijs (Associatie KU Leuven)

Distributor:

Social Sciences and Digital Humanities Archive – SODHA

Access Authority:

Devriendt, Thijs

Depositor:

Devriendt, Thijs

Date of Deposit:

2022-08-18

Study Scope

Keywords:

Computer and Information Science, Medicine, Health and Life Sciences, Social Sciences, Motivation, Information dissemination, Policy, Data management

Topic Classification:

Government, political systems and organisations, Information society, Science and technology

Abstract:

This dataset contains anonymized transcripts of interviews performed during a qualitative interview study with members of 16 research funding agencies. Funding agencies were located mainly, but not exclusively, in Europe. <br> <br> Background: Open science policy documents have emphasized the need to install more incentives for data sharing. These incentives are often understood as being reputational or financial. Additionally, there are other policy measures that could be taken, such as data sharing mandates.<br> <br> Aim: To document views of funding agencies on (1) potential alterations to recognition systems in academia; (2) incentives to enhance the sharing of cohort data; (3) data sharing policies in terms of the governance of cohort data; (4) other potential interactions between science policy and data sharing platforms for cohorts. Our study focused on the sharing of patient- and population-based cohorts through data infrastructures.

Date of Collection:

2021-10-15-2022-02-01

Kind of Data:

Anonymized transcripts - Uncoded

Methodology and Processing

Sources Statement

Data Access

Notes:

<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a> (CC-BY).

Other Study Description Materials

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Interview 10_anonymized.docx

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Interview 11_anonymized.docx

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Interview 1_anonymized.docx

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Interview 2_translated_anonymized.docx

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Interview 6_translated_anonymized.docx

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Interview 8_anonymized.docx

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