German funders' data sharing policies - A qualitative interview study [interview excerpts]

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Anger, Michael; Wendelborn, Christian; Schickhardt, Christoph, 2023, "German funders' data sharing policies - A qualitative interview study [interview excerpts]", https://doi.org/10.11588/data/FJAG0X, heiDATA, V1
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Background Data sharing is commonly seen as beneficial for science, but is not yet common practice. Research funding agencies are known to play a key role in promoting data sharing, but German funders’ data sharing policies appear to lag behind in international comparison. This study aims to answer the question of how German data sharing experts inside and outside funding agencies perceive and evaluate German funders’ data sharing policies and overall efforts to promote data sharing. Methods This study is based on sixteen guideline-structured interviews with representatives of German funding agencies and German research data experts from other organisations, who shared their perceptions of German’ funders efforts to promote data sharing. By applying the method of qualitative content analysis to our interview data, we categorise and describe noteworthy aspects of the German data sharing policy landscape and illustrate our findings with interview passages. Research data This dataset contains summaries from interviews with data sharing and funding policy experts from German funding agencies and what we call "stakeholder organisations" (e.g., universities, research data infrastructure providers, etc.). We asked the interviewees about their perspectives on German funders' data sharing policies, for example regarding the actual status quo, their expectations about the potential role that funders can play in promoting data sharing, as well as general developments in this area. Supplement_1_Interview_guideline_funders.pdf and Supplement_2_Interview_guideline_stakeholders.pdf provide supplemental information in the form of the (german) interview guidelines used in this study. Supplement_3_Transcription_and_coding_guideline.pdf lays out the rules we followed in our transcription and coding process. Supplement_4_Category_system.pdf describes the underlying category system of the qualitative content analysis we conducted. (2023-06-11)
Subject Medicine, Health and Life Sciences; Social Sciences
Keyword Data Sharing, Research funding agencies, FAIR Data, Data Management, Data Sharing Policies, Interview study, Qualitative content analysis
Related Publication Anger M, Wendelborn C, Schickhardt C (2023) German funders' data sharing policies - A qualitative interview study. PLOS ONE (under review).
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Datablic_Interview excerpts [dataset].pdf
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Published Aug 15, 2023
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S1 Appendix. Interview guideline for German funders [english version].pdf
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Published Aug 15, 2023
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S2 Appendix. Interview guideline for German stakeholder organisations [english version].pdf
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Published Aug 15, 2023
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S3 Appendix. Transcription and Coding Rules.pdf
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Published Aug 15, 2023
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S4 Appendix. Category system.pdf
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Published Aug 15, 2023
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MD5: 2e9737a896c7526c3569e07f46c960df
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We present excerpts of sixteen guideline-structured expert interviews, conducted for the DATABLIC project in 2020/2021. The interview series aimed to explore the perspectives of funding agencies on their own data sharing policies. The original transcripts of the expert interviews cannot be shared for reasons of protection of anonymity and confidentiality (data protection). For the same reasons we cannot reveal the names of the funding agencies or other concrete information on the funding agencies such as the country either. Access to the excerpts is restricted and only possible by request.

In this data set you will find statements from interviewees who have been assured of absolute anonymity and confidentiality. Therefore, we ask you to handle the dataset and its individual contents accordingly, i.e. in a secure and confidential manner. In concrete terms, this means that the following conditions apply to any access to and usage of the data:

  1. Data access and usage are only allowed upon request and after positive review and response.
  2. The data user is allowed to use the qualitative research data/materials from the research project DATABLIC exclusively for non-commercial, scientific use.
  3. The data user must not make the controlled access granted to them accessible to third parties and keep it protected against unauthorized access by third parties. It is not permitted to publish the dataset or parts of it.
  4. The transfer of the research data/materials to third parties is not permitted. The authorized data user must not forward or share the transcripts or parts of the transcripts to respectively with third parties.
  5. The data user refrains from taking any action that would de-anonymize the research data provided or re-identify the persons or organisations concerned.
  6. The data user is obligated to take appropriate technical and organizational measures to ensure that only the data user has access to the research data/materials provided.
  7. The data user is allowed to use the data for their own research only if the intended research use is specified in the data use and access request and after approval by those who are responsible for data use and access.
  8. The community norms as well as good scientific practices expect that in case of successful research with the data, proper scientific credit is given, for instance via citation. Please use the data citation shown on the dataset page.

Any attempt to violate the terms of access and use will be considered violations of the law and violations of good scientific practice, as for example, codified by the Code of Conduct provided by the German Research Foundation. [1]

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  • Michael Anger (first author, DATABLIC): Michael.Anger@dkfz-heidelberg.de
  • Christoph Schickhardt (last author, DATABLIC): Christoph.Schickhardt@med.uni-heidelberg.de

Please state the name and affiliation of the data user, as well as a short description of you research interest. Thank you very much.

[1] https://www.dfg.de/download/pdf/foerderung/rechtliche_rahmenbedingungen/gute_wissenschaftliche_praxis/kodex_gwp_en.pdf
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