UNEKE - Survey on Storing Practice and Storing Requirements for Research Data

Resource Type
Dataset : Survey and aggregate data
  • Wilms, Konstantin (Universität Duisburg-Essen)
  • Brenger, Bela (IT Center RWTH Aachen)
  • Lopéz, Ania (Universitätsbibliothek Duisburg-Essen)
  • Rehwald, Stephanie (Universitätsbibliothek Duisburg-Essen)
  • Stieglitz, Stefan (Universität Duisburg-Essen)
Publication Date
  • Principal investigator (Data Collector)
  • ZA:
    • University, Research, the Sciences
  • CESSDA Topic Classification:
    • Science and technology
  • Abstract

    UNEKE is a joint project of the University of Duisburg-Essen and the RWTH Aachen University funded by the Federal Ministry of Education and Research. Under the leadership of the University Library Duisburg-Essen, the project aims to develop a strategic approach for a future-oriented research data management for institutions. UNEKE conducted a survey to determine both current storage practices and storage needs at universities. Throughout Germany, 13 universities took part in the survey. Especially in the accompanying scientific study, UNEKE aimed at the question of what keeps researchers busy and encourages them to publish and share data in the future. In order to identify the hindering and supporting factors in the practice of open data in higher education, a large-scale study with an online questionnaire was designed and carried out. The aim of the quantitative method was to collect descriptive knowledge about the status quo of researchers on the practices and requirements of research data management and to test and validate the presented research model. Therefore, the data set was divided into two parts: In the first part (part one), the participants were asked descriptive questions about their storage behaviour; in the second part (part two), scientifically valid constructs were used to learn more about the users´ attitudes towards data exchange. In this context, several predictors of data exchange behaviour are measured, including perceived (dis)benefits and risk factors. Part one of the survey was available in two languages, German and English. The second part consisted of different instruments, either taken from already validated instruments or slightly modified. All instruments used were originally published in English. In order to avoid undesired effects from the translation, the English form of the instruments was retained as in the original and the second part of the questionnaire was asked for in English. The second part is under embargo until August 2020. The study focuses on university members from Germany. The data set contains data from members of ten large universities (over 20,000 members) and three medium-sized universities (over 10,000 members). Due to internal requirements, the survey did not start at all participating universities at the same time, so that the survey will run between March 2018 and January 2019. Part 1: Descriptive questionnaire Topics: 1. background research project: duration of a typical research project (in months); generated data volume of a typical research project (gigabyte); percentage of the data volume in the initial phase, the intermediate phase and the final phase of the research project; storage location of the research data (e.g. at an external data centre, centrally on a server of the university, locally on the official computer, etc.); data volume of a typical research project (gigabyte); data volume of a typical research project (gigabyte); data volume of a typical research project (gigabyte); data volume of a typical research project (gigabyte); data volume of a typical research project (gigabyte); data volume of a typical research project (gigabyte); data volume of a typical research project (gigabyte); data volume of a typical research project (gigabyte); data volume of a typical research project (gigabyte); data volume of a typical research project (gigabyte); data volume of a typical research project (gigabyte); percentage of total data with which the respondent works regularly (in the first, second and last third of the research project); percentage of total data used and processed by several persons; number of persons working together on a typical research project; percentage of total data volume which, in the sense of good scientific practice, is 10 years or more 25 years should be stored (in the first, second and last third of the research project); type of archiving of own frog data for at least 25 years; expertise in the institute/department with systems or tools that support research data management. 2. General: data sources (e.g. observations and experiments, surveys and interviews, meta-studies, etc.); type of data formats; server administration, file server, backup and/or archive available at the faculty (data storage, content data maintenance); hours for server administration; importance of data protection; anonymisation of data in the course of the research process; guidelines or recommendations for handling research data; guidelines to fulfil; access to own data; protocol on data access; importance of regulation of data access; external persons or institutions who need to gain access to data; publication of raw data after first use; metadata collected; schema or standard for collecting metadata. Demography: faculty; position; department; self-assessment knowledge of research data management; problems related to research data (e.g. outdated data formats, etc.); desired services of the university in handling research data Additionally coded was: interview number; university or university of applied sciences; language; interview mode; time of interview start; length of stay on the individual questionnaire pages; time of last change to data set; survey completed; respondent only viewed questionnaire; page last edited by respondent; last page edited in questionnaire; percentage of missing responses and weighted by relevance; malus points for quick completion. Part 2: Constructs (embargo until August 2020)
Temporal Coverage
  • 2018-03 / 2019-01
Geographic Coverage
  • Germany (DE)
Sampled Universe
Researchers and employees of 13 participating universities in Germany
Total universe/Complete enumeration; Sampling Procedure Comment: Total universe/Complete Enumeration of scientists and employees of the universities Duisburg-Essen, Bonn, Ruhr-University Bochum, University of Cologne Heinrich-Heine-University Düsseldorf, Technical University Cologne, University Siegen, University Hildesheim, Bergische University Wuppertal, University of Applied Sciences Bielefeld, Rheinisch-Westfälische Technical University Aachen, University of Applied Sciences Aachen and University Bonn-Rhein-Sieg.
Time Dimension
  • Cross-section
Collection Mode
  • Self-administered questionnaire: Web-based
Data and File Information
  • Number of Variables: 333
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Alternative Identifiers
  • ZA6981 (Type: ZA-No.)
  • Is new version of
    DOI: 10.4232/1.13321
  • Wilms, Konstantin; Brenger, Bela; López, Ania; Rehwald, Stephanie (2018): Open Data in Higher Education – What Prevents Researchers from Sharing Research Data? In: Proceedings of the 39th International Conference on Information Systems (ICIS).
  • Wilms, Konstantin; Lopez, Ania (2018): Improvement of Research Platforms to Raise Researchers Acceptance for Research Data Management – First Study on Results of Surveys among German Universities. https://www.uni-due.de/imperia/md/images/proko/preprint_wilms_lopez.pdf

Update Metadata: 2021-04-07 | Issue Number: 15 | Registration Date: 2020-07-31