Research data management in Switzerland

Bürgi, Pierre-Yves; Blumer, Eliane; Shabou, Basma Makhlouf

doi:10.1177/0340035216678238

Cited by 17 publications

(5 citation statements)

References 16 publications

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“…Incentives can be seen as an additional factor to support a cultural change in data handling as well as to increase the awareness of researchers for RDM (Burgi et al, 2017; Chawinga and Zinn, 2019). Whereas monetary incentives could be a successful way, in the most cases they are not realized due to budget restrictions (Grynoch, 2016).…”

Section: Resultsmentioning

confidence: 99%

Research data management systems and the organization of universities and research institutes: A systematic literature review

Donner

2022

Journal of Librarianship and Information Science

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New technological developments, the availability of big data, and the creation of research platforms open a variety of opportunities to generate, store, and analyze research data. To ensure the sustainable handling of research data, the European Commission as well as scientific commissions have recently highlighted the importance of implementing a research data management system (RDMS) in higher education institutes (HEI) which combines technical as well as organizational solutions. A deep understanding of the requirements of research data management (RDM), as well as an overview of the different stakeholders, is a key prerequisite for the implementation of an RDMS. Based on a scientific literature review, the aim of this study is to answer the following research questions: “What organizational factors need to be considered when implementing an RDMS? How do these organizational factors interact with each other and how do they constrain or facilitate the implementation of an RDMS?” The structure of the analysis is built on the four components of Leavitt’s classical model of organizational change: task, structure, technology, and people. The findings reveal that the implementation of RDMS is strongly impacted by the organizational structure, infrastructure, labor culture as well as strategic considerations. Overall, this literature review summarizes different approaches for the implementation of an RDMS. It also identifies areas for future research.

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Section: Resultsmentioning

confidence: 99%

Research data management systems and the organization of universities and research institutes: A systematic literature review

Donner

2022

Journal of Librarianship and Information Science

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“…To operationalise Open Science in the 'infrastructure school' perspective and in line with one definition (Pontika et al, 2015) of Open Science, tools such as Data Management Plans (DMPs) were introduced in order to encourage better data management and stewardship throughout the data life cycle. DMPs require researchers to state at the outset of a research project how they will handle their data during the different stages of the project, including after it is completed (Burgi et al, 2017). The FAIR (Findable Accessible Interoperable Reusable) principles, published in 2016 by a consortium of researchers (Wilkinson et al, 2016), are a set of 10 principles covering data, metadata and infrastructure issues.…”

Section: Data Management Anonymisation and Pseudonymisationmentioning

confidence: 99%

Towards Open Science for the Qualitative Researcher: From a Positivist to an Open Interpretation

Class

Bruyne

Wuillemin

et al. 2021

International Journal of Qualitative Methods

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This reflection by a qualitative researcher stems from a concrete experience with data handling in a funded research project. The researcher followed Open Research Data guidelines and found optimal solutions to pseudonymise data, but this later evolved into a deep epistemological questioning on praxis. During the first phase of the project, a tailor-made software was developed with help from librarians and an IT professional to automate the pseudonymisation of the 150 data chunks generated by 16 students, 3 tutors and 3 decision makers. In the second phase of the project, this experience sparked questions about the meaning of such data handling and interpretations of Open Science, which led the researcher to suggest a framework for the professional development of qualitative researchers in their understanding of Open Science. The article raises awareness of normative frameworks in institutional data handling practices and calls for active contributions to defining qualitative research in an Open Science perspective, particularly taking as a reference the recent draft recommendation by UNESCO (2020)

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“…The common use of ICT tools made research more intensive, technology -and data-driven and allowed handling huge volumes of data. Although there has been considerable investment in services, resources, and infrastructure to support researchers' data management needs, the level of researchers' awareness and skills regarding their own data management is still rather low; and RDM depends on institutional strategies and research habits in specific disciplines (Bryant et al, 2017;Burgi et al, 2017;Johnson et al, 2014).…”

Section: Research Data and Their Managementmentioning

confidence: 99%

“…Some studies have already confirmed low level of comfort and expert self-assessment with the life cycle of research data -and RDM-related topics (see e.g. Burgi et al, 2017;Conrad et al, 2017). Furthermore, one of OCLC's research reports highlighted the efficacy of education services in promoting RDM recognition with curation and expertise as the most important (Bryant et al, 2017).…”

Section: Research Data and Their Managementmentioning

confidence: 99%

“…However, they are not widely accessible since they take place on-site in Warsaw and the number of available places is limited. In Europe, academic libraries offer RDM education -it is enough to mention the solutions implemented by Switzerland, Estonia, or France (Burgi et al, 2017;Heidelberg University, 2018;Tarkpea & Seiler, 2016). However, system solutions, founded by government or research agencies, like those established in Australia or Great Britain, such as national data centers or data services support RDM more successfully.…”

Section: Research Data and Their Managementmentioning

confidence: 99%

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Research Data: Management and Opening. Polish and European Perspectives

Wiorogorska¹

2019

ZIN

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Purpose/Thesis: This paper attempts to present the trends in management and opening of research data in Poland and the European Union, based on the analysis of the recently published Polish and European acts and documents as well as of other international initiatives which might influence scholarly publishing and scholarly communication.Approach/Methods: An in-depth review of the latest documents was applied. Results and conclusions: I focused on highlighting the key elements of the reviewed documents and initiatives, highlighting the directions for managing and opening of research data they set and the implications they might have for Polish and European science. I also sketched the possible inconsistencies between the European and Polish policies related to research data and scholarly communication.Research limitations: The documents investigated for the purpose of this paper were either Polish or provided by the European Union (EU). I have not analyzed the national documents issued by the individual member states of the EU other than Poland. Hence, it is probable that some solutions on research data management and opening already taken on the level of individual member states have not been included in this paper.Practical implications: This paper may encourage a reflection on the relationship between the regulations issued at the European (EU) or at the national (in this case, Polish), and the practices and requirements of scholarly communication which often contradict those regulations.Originality/Value: This is the first analysis of the latest Polish and European documents and initiatives as related to data management and open data (open science).

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Research data management in Switzerland

Cited by 17 publications

References 16 publications

Research data management systems and the organization of universities and research institutes: A systematic literature review

Research data management systems and the organization of universities and research institutes: A systematic literature review

Towards Open Science for the Qualitative Researcher: From a Positivist to an Open Interpretation

Research Data: Management and Opening. Polish and European Perspectives

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