ORCID Profile
0000-0001-8520-5598
Current Organisation
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
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Publisher: Project MUSE
Date: 2017
Publisher: Zenodo
Date: 2018
Publisher: Edinburgh University Library
Date: 11-02-2018
Abstract: Research Data Management (RDM) presents an unusual challenge for service providers in Higher Education. There is increased awareness of the need for training in this area but the nature of the discipline-specific practices involved make it difficult to provide training across a multi-disciplinary organisation. Whilst most UK universities now have a research data team of some description, they are often small and rarely have the resources necessary to provide targeted training to the different disciplines and research career stages that they are increasingly expected to support. This practice paper describes the approach taken at the University of Cambridge to address this problem by creating a community of Data Ch ions. This collaborative initiative, working with researchers to provide training and advocacy for good RDM practice, allows for more discipline-specific training to be given, researchers to be credited for their expertise and creates an opportunity for those interested in RDM to exchange knowledge with others. The ‘community of practice’ model has been used in many sectors, including Higher Education, to facilitate collaboration across organisational units and this initiative will adopt some of the same principles to improve communication across a decentralised institution. The Data Ch ions initiative at Cambridge was launched in September 2016 and this paper reports on the early months, plans for building the community in the future and the possible risks associated with this approach to providing RDM services.
Publisher: Cold Spring Harbor Laboratory
Date: 20-02-2017
DOI: 10.1101/104661
Abstract: Research Data Management (RDM) presents an unusual challenge for service providers in Higher Education. There is increased awareness of the need for training in this area but the nature of discipline-specific practices involved make it difficult to provide training across a multi-disciplinary organisation. Whilst most UK universities now have a research data team of some description, they are often small and rarely have the resources necessary to provide targeted training to the different disciplines and research career stages that they are increasingly expected to support. This practice paper describes the approach taken at the University of Cambridge to address this problem by creating a community of Data Ch ions. This collaborative initiative, working with researchers to provide training and advocacy for good RDM practice, allows for more discipline-specific training to be given, researchers to be credited for their expertise and an opportunity for those interested in RDM to exchange knowledge with others. The ‘community of practice’ model has been used in many sectors, including Higher Education, to facilitate collaboration across organisational units and this initiative will adopt some of the same principles to improve communication across a decentralised institution. The Data Ch ions initiative at Cambridge was launched in September 2016 and this paper reports on the early months, plans for building the community in the future and the possible risks associated with this approach to providing RDM services.
Publisher: Edinburgh University Library
Date: 11-02-2018
Abstract: When developing new products, tools or services, one always need to think about the end users to ensure a wide-spread adoption. While this applies equally to services developed at higher education institutions, sometimes these services are driven by policies and not by the needs of end users. This policy-driven approach can prove challenging for building effective community engagement. The initial development of Research Data Management support services at the University of Cambridge was policy-driven and subsequently failed in the first instance to engage the community of researchers for whom these services were created. In this practice paper, we describe the initial approach undertaken at Cambridge when developing RDM services, the results of this approach and lessons learnt. We then provide an overview of alternative, democratic strategies employed and their positive effects on community engagement. We summarise by performing a cost-benefit analysis of the two approaches. This paper might be a useful case study for any institutions aiming to develop central support services for researchers, with conclusions applicable to the wider sector, and extending beyond Research Data Management services.
Publisher: Cold Spring Harbor Laboratory
Date: 03-11-2016
DOI: 10.1101/085100
Abstract: Repository managers can never be one hundred percent sure of the security ofhosted research data. Even assuming that human errors and technical faults will never happen, repositories can be subject to hacking attacks. Therefore, repositories accepting personal/sensitive data (or other forms of restricted data) should have workflows in place with defined procedures to be followed should things go wrong and restricted data is inappropriately released. In this paper wewill report on our considerations and procedures when restricted data from ourinstitution was inappropriately released.
Publisher: Cold Spring Harbor Laboratory
Date: 28-01-2017
DOI: 10.1101/103895
Abstract: When developing new products, tools or services, one always need to think about the end users to ensure a wide-spread adoption. While this applies equally to services developed at higher education institutions, sometimes these services are driven by policies and not by needs of end users. This policy-driven approach can prove challenging for building effective community engagement. The initial development of Research Data Management support services at the University of Cambridge was policy-driven and subsequently failed in the first instance to engage the community of researchers for whom these services were created. In this practice paper we will describe the initial approach undertaken at Cambridge when developing RDM services, the results of this approach and lessons learnt. We will then provide an overview of alternative, democratic strategies employed and their positive effects on community engagement. We will summarise by performing a cost-benefit analysis of the two approaches. This paper might be a useful case study for any institutions aiming to develop central support services for researchers, with conclusions applicable to the wide sector, and extending beyond Research Data Management services.
Publisher: Apollo - University of Cambridge Repository
Date: 2017
DOI: 10.17863/CAM.39501
Publisher: Center for Open Science
Date: 06-10-2020
Abstract: Open Science (OS) increases the quality, efficiency, and impact of science. This has been widely recognised by scholars, funders, and policy makers. However, despite the increasing availability of infrastructure supporting OS and the rise in policies and incentives to change behavior, OS practices are not yet the norm. While pioneering researchers are developing and embracing OS practices, the majority sticks to the status quo. To transition from pioneering to common practice, we need to engage a critical proportion of the academic community. In this transition, Open Science Communities (OSCs) play a key role. OSCs are bottom-up learning groups of scholars that discuss OS practices, within and across disciplines. They make OS knowledge and know-how more visible and accessible, and facilitate communication among scholars and policy makers. By the same token, community members shape the transition to OS such that it is most beneficial for researchers, science, and society. Over the past two years, eleven OSCs were founded at several Dutch university cities, with approximately 700 members in total (at the time of writing). In other countries, similar OSCs are starting up. In this paper, we discuss the pivotal role OSCs play in the large-scale transition to OS and provide practical information on how to start a local OSC. We emphasize that, despite the grassroot character of OSCs, support from universities is critical for OSCs to be viable, effective, and sustainable.
Publisher: Apollo - University of Cambridge Repository
Date: 2017
DOI: 10.17863/CAM.7692
Publisher: Zenodo
Date: 2018
Publisher: Zenodo
Date: 2018
Publisher: Oxford University Press (OUP)
Date: 03-07-2021
Abstract: Despite the increasing availability of Open Science (OS) infrastructure and the rise in policies to change behaviour, OS practices are not yet the norm. While pioneering researchers are developing OS practices, the majority sticks to status quo. To transition to common practice, we must engage a critical proportion of the academic community. In this transition, OS Communities (OSCs) play a key role. OSCs are bottom-up learning groups of scholars that discuss OS within and across disciplines. They make OS knowledge more accessible and facilitate communication among scholars and policymakers. Over the past two years, eleven OSCs were founded at several Dutch university cities. In other countries, similar OSCs are starting up. In this article, we discuss the pivotal role OSCs play in the large-scale transition to OS. We emphasize that, despite the grassroot character of OSCs, support from universities is critical for OSCs to be viable, effective, and sustainable.
Publisher: Ubiquity Press, Ltd.
Date: 23-03-2017
DOI: 10.5334/DSJ-2017-010
Location: No location found
Location: Netherlands
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Marta Teperek.