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Data Package digivisib

Digitalization of Scholarly Communication (DigiScholComm): Data package of the qualitative interview data from the DZHW subproject “Digital Visibilities in Appointment Procedures” (DigiVisib) 

Details

Institution(s):
German Centre for Higher Education Research and Science Studies (DZHW)
Sponsored by:
  • Volkswagen Foundation
    Funding reference:
    11 - 76251-991/21 (ZN 3760)
    Associated funding program:
    Förderschwerpunkt „Die digitale Gesellschaft“ der VolkswagenStiftung und des Niedersächsischen Ministeriums für Wissenschaft und Kultur
Project Contributors:
Köchling, Stella ORCID logo;
Kleimann, Bernd ORCID logo;
Blümel, Clemens ORCID logo;
Leckert, Max ORCID logo
Survey Design:
Cross-Section 
Survey Data Type:
Qualitative Data
Data available in:
German
Data Curation:
İkiz-Akıncı, Dilek ORCID logo;
Köchling, Stella ORCID logo;
Gerchen, Anna ORCID logo;
Luksche, Carolin ORCID logo
DOI:
Version:
1.0.0 (published at Mar 30, 2026)
Additional Links:
Allowed use cases:
  • scientific use
  • teaching purposes

Data Package Description

The project Digitalization of Scholarly Communication: Discourse and Practices, Measurements and Identity Formations (DigiScholComm) is a research project funded by the Volkswagen Foundation and conducted by the German Centre for Higher Education Research and Science Studies (DZHW). The project examined the discourses, drivers, organizational forms, and impacts of the digitalization of scholarly communication within the context of a changing social, economic, and political environment in science. In seven work packages, it addressed, among other things, various forms of self-presentation and self-description by researchers through the establishment of scholarly communication media. Additionally, it considered new actors and infrastructures, as well as their approaches to collecting and disseminating data on digital science communication. The data package provided here is based on expert interviews conducted as part of the subproject Digital Visibilities in Appointment Procedures (DigiVisib). This subproject aimed to explore how universities take digital visibilities into account in decision-making processes of appointment procedures. The data package includes 13 interviews with professors who are experienced members of appointment committees. In addition, it contains the interview guides used for data collection, the transcription guidelines, the invitation letters used for field access and the informed consent.

Documents related to this Data Package

Data Package

Title Description Document Language DOI File
Digitalization of Scholarly Communication (DigiScholComm): Data package of the qualitative interview data from the DZHW subproject “Digital Visibilities in Appointment Procedures” (DigiVisib)  Data Package Overview  English link_off digivisib_Overview_en.pdf
Digitalization of Scholarly Communication (DigiScholComm): Datenpaket der qualitativen Interviewdaten des DZHW-Teilprojekts Digital Visibilities in Appointment Procedures (DigiVisib)  Data Package Overview  German link_off digivisib_Overview_de.pdf
Release Notes  The release notes contain information about the current version and changes compared to previous versions.  German link_off digivisib_ReleaseNotes.txt
Daten- und Methodenbericht des Datenpakets "Digitalization of Scholarly Communication (DigiScholComm): Datenpaket der qualitativen Interviewdaten des DZHW-Teilprojekts Digital Visibilities in Appointment Procedures (DigiVisib)"  The report includes general information on the data package.  German link_off Digivisib-id_Data_Methods_Report_de.pdf

Instruments

Type Description Document Language DOI File
Other  Interview-Guideline professors  German  link_off digivisib_Interview_Guideline.pdf

Related Objects

Surveys (1) Instruments Questions Data Sets Publications Concepts
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Qualitative Data, Interview Guideline-based expert interviews 
Population: The population for sampling consisted of professors at German universities. Professors are obligatorily represented in appointment committees, giving them experience and knowledge of appointment procedures. To select interview partners, job advertisements ... 
Sampling Procedure: Non-probability Sample: Purposive Sample 
Field Period: Jan 1, 2022 - Dec 31, 2025
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