FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort study

Zondergeld, Jelmer; Scholten, Ron H.H.; Vreede, Barbara; Hessels, Roy S.; Pijl, A.G.; Buizer-Voskamp, Jacobine E.; Rasch, Menno; Lange, Otto; Veldkamp, Coosje Lisabet Sterre

doi:10.1016/j.dcn.2020.100834

Cited by 8 publications

(28 citation statements)

References 6 publications

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“…This presents the interrelation between the technical component, support services, education, and culture. But the implementation of them is also connected with financial challenges (Cox et al, 2019; Hamad et al, 2021; Zondergeld et al, 2020). Under this perspective a strategy which takes the potential investments, long-term costs, options for financing, and aims into account is important (Jones, 2014; Whyte, 2014).…”

Section: Discussionmentioning

confidence: 99%

“…One of the major challenges for RDM can be seen in financial resources Hamad et al, 2021;Zondergeld et al, 2020). To deal with this, a business case which takes potential investments, long-term costs, as well as options for the financing into account is a reasonable approach Whyte, 2014).…”

Section: Financementioning

confidence: 99%

“…Academic libraries as well as IT departments were mentioned as main contributors for RDM (e.g. Buys and Shaw, 2015;Faniel and Connaway, 2018;Hoorn and Domingus, 2015;Piracha and Ameen, 2019;Sesartic and Töwe, 2016;Zondergeld et al, 2020). The collaboration between HEI were discussed as option to keep the additional needed resources as low as possible and to meet the requirements of RDM (Grasse et al, 2018;Henderson et al, 2014;Pryor, 2014;Sánchez-Solís and Budroni, 2015).…”

Section: Responsibilitiesmentioning

confidence: 99%

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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: Discussionmentioning

confidence: 99%

Section: Financementioning

confidence: 99%

Section: Responsibilitiesmentioning

confidence: 99%

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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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“…Moreover, the importance of data management is emphasised by a paper on how we incorporated the FAIR Data Principles to make data findable, accessible, interoperable and reusable for the YOUth cohort. Zondergeld et al (2020) describe technical, organizational and financial challenges that go along the production and safe storage of FAIR and high-quality data for sustainable science. Methodological issues that arise when applying eye-tracking, a much used neurocognitive measure in child research, are discussed in the paper by Hessels and Hooge (2019) .…”

Section: Overviewmentioning

confidence: 99%

Teaming up to understand individual development

Kemner¹,

Duijvenvoorde²,

Nelemans³

et al. 2021

Developmental Cognitive Neuroscience

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“…Third, the development of research infrastructures that accommodate data management and stewardship (Houssos et al, 2014;Shoshani and Rotem, 2009;Zondergeld et al, 2020).…”

Section: Introduction -9 -mentioning

confidence: 99%

Research data management for open science

Lefebvre¹

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scientific artifacts during the whole research lifecycle, from data creation to publication of results (Simms et al., 2016).Likewise, academic stakeholders, such as public funders and library services, tend to agree that scientific practices such as those listed earlier, need a response from a research governance point of view. For instance, several public funders get more involved at the start of research projects by implementing more stringent rules for managing research data (Akers, 2017; European Commission, 2016b). These new requirements from funders led to universities' efforts to invest in research data management with technology, human resources, and training to support researchers 1 Data from Digital Science, Dimensions, available from https://app.dimensions.ai and accessed on July 8, 2020, under a license agreement.Chapter outcomes of proper data management from the start of a research project. One side-effect is that datasets can also become the target of quantitative analysis of the publication landscape.

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FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort study

Cited by 8 publications

References 6 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

Teaming up to understand individual development

Research data management for open science

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