Cultural obstacles to research data management and sharing at TU Delft

Plomp, Esther; Dintzner, Nicolas; Teperek, Marta; Dunning, Alastair

doi:10.1629/uksg.484

Cited by 6 publications

(14 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is a service tailored to support clinical trialists. Plomp et al . (2019) report on a data management service tailored to disciplinary areas within Delft University of Technology, deploying ‘data champions’ and ‘data stewards’ to work with disciplinary communities.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Incentivising research data sharing: a scoping review

Woods

Pinfield

2021

Wellcome Open Res

View full text Add to dashboard Cite

Background: Numerous mechanisms exist to incentivise researchers to share their data. This scoping review aims to identify and summarise evidence of the efficacy of different interventions to promote open data practices and provide an overview of current research. Methods: This scoping review is based on data identified from Web of Science and LISTA, limited from 2016 to 2021. A total of 1128 papers were screened, with 38 items being included. Items were selected if they focused on designing or evaluating an intervention or presenting an initiative to incentivise sharing. Items comprised a mixture of research papers, opinion pieces and descriptive articles. Results: Seven major themes in the literature were identified: publisher/journal data sharing policies, metrics, software solutions, research data sharing agreements in general, open science ‘badges’, funder mandates, and initiatives. Conclusions: A number of key messages for data sharing include: the need to build on existing cultures and practices, meeting people where they are and tailoring interventions to support them; the importance of publicising and explaining the policy/service widely; the need to have disciplinary data champions to model good practice and drive cultural change; the requirement to resource interventions properly; and the imperative to provide robust technical infrastructure and protocols, such as labelling of data sets, use of DOIs, data standards and use of data repositories.

show abstract

Section: Resultsmentioning

confidence: 99%

“… Plomp et al . (2019) reports on a data management service tailored to disciplinary areas within Delft University of Technology.…”

Section: Discussion and Study Limitationsmentioning

confidence: 99%

Incentivising research data sharing: a scoping review

Woods

Pinfield

2021

Wellcome Open Res

View full text Add to dashboard Cite

show abstract

“…Services for RDM will characterize the RDMS, can increase the acceptance of researchers to adapt the new requirements in data handling (Plomp et al, 2019), and underline the commitment of the management for RDM. These services can include training, consultation, as well as data management planning services (e.g.…”

Section: Component: Structurementioning

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

View full text Add to dashboard Cite

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.

show abstract

“…For further technical details, see the discussion by Plomp. 25 The neutron spin echo length (Z) depends on the strength (B) of the magnetic field and the angle (θ ) of its interface with respect to the neutron beam (Z = (γ L mBλ 2 L cot θ )/(2πh)). In spin echo mode, Offspec has a usable wavelength (λ ) range between 2.2 and 14 Å.…”

Section: Scattering Techniquesmentioning

confidence: 99%