Research Data Management

SES is committed to supporting researchers to manage their data effectively, from planning research activity through to the long term archiving and curation of data and is exploring some areas of shared interest. It actively seeks to contribute to national and international forums and work with funders and interest groups, to develop an optimal policy and infrastructure framework for our research communities.  SES University staff play a key role in supporting us to give back to researchers. Reflexivity and critical thinking is helping to deliver better academic support in data management.

Data intensive institutions across the globe are developing ways to optimise the potential for data-driven research across distance, making connection between research facilities, storage services and high-speed data networks connecting the two attractive to both facility managers and to researchers. SES is currently working to establish and implement a coherent framework to increase the research data transfer speeds between SES partners connecting via the Janet network. Alongside Jisc, we’re in the process of developing a Research Data Transfer Zone (RDTZ) to drive research potential, bringing research, IT and leadership teams together from across our member institutions.

Guest Post: a final word on At War with Data

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Mark Roeling studied psychology (BSc), behaviour genetics (MSc) and genetic epidemiology (MSc) and worked as a junior researcher in the Erasmus MC Rotterdam (Netherlands). He worked as data scientist for Capgemini, where he focused on detecting fraud in e-channels in the banking sector. Now at the University of Oxford, his work has been strongly statistical and  he aims to use his background to test the applicability of methods and models from (genetic) epidemiology to improve the detection of fraud and cybercrime in big data.  As part of my DPhil in Cyber Security at the University of Oxford, I focus on...
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Guest Post: Information Disclosure

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Mark Warner is a PhD researcher based at the Institute of Digital Health at University College London. As part of Privacy&Us, a network of 13 researchers across the EU, he is exploring usable privacy within the healthcare domain. His research is in better understanding and supporting users decision-making around healthcare data disclosures, taking into account both the cost and benefits of disclosure to both the individual and wider society. I am a PhD researcher at UCL’s Institute of Digital Health, exploring the landscape of healthcare data and how technology can be used to better support users making decisions around their...
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Guest Post: Global Data from A Public Health Perspective

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Arnaud Koehl is a PhD researcher based at the School of Public Health at Imperial College London. He is interested in finding comprehensive and sustainable pathways for open systems such as transport matrices, energy markets, cities and material flow. His research is about the health and economic co-benefits of interventions to reduce transport related GHG emissions in populous middle income countries. I represent the typical early career researcher focussing on several outer world issues from his London-based office. Even though I’m using modelling as a primary method, I always feel the need to get a more accurate vision of what...
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82
of RDM enquiries come from a Science/Engineering background

Research Data Enquiries by Discipline at Southampton University

Graph Credit: Wendy White and Dorothy Byatt, Southampton University Libraries

Activity is currently organised around three key themes:

1.
Governance and Engagement
2.
Training and Development
3.
Shared Technical Services
4.
Events

Investigating common issues relating to oversight of research data management activity, including how best to share information about ongoing activity with funders and other organisations and promote best practice. UCL provides detailed information on funding policies and requirements as well as a guide to writing Data Management plans. Integrity, Ethics, and Information security are other areas with essential information for researchers.

Supporting on-going knowledge sharing from experts with in-depth understanding and practical experience of RDM in academia.

Modelling costs and shared services options for improved storage of those research data identified as requiring longer term archiving e.g. data underpinning publications, heritage data collections.

SES regularly hosts training events around the theme of Research Data Management, exploring the challenges associated with managing large and diverse sets of data, raising awareness of the services available to researchers, as well as sharing good practice and fostering networks. Visit our events page for more information, or browse previous events.