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Teperek, M.

Publications and source records attributed to Teperek, M..

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Creating a Community of Data Champions

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.\n\nThis practice paper describes the approach taken at the University of Cambridge to address this problem by creating a community of Data Champions. 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 Champions 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.

scientific communication and education

Is Democracy the Right System? Collaborative Approaches to Building an Engaged RDM Community

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.\n\nIn 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.

scientific communication and education

Starting from the end: what to do when restricted data is released

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.

scientific communication and education