Good research data management is fundamental for high quality research. While many PhD students acquire the skills to collect and analyse data, the handling and managing of research data is not usually addressed in such methods training. Also, funding bodies and scientific journals increasingly require data created during publicly funded research or underpinning publications, to be openly available. This again requires good data skills and data management planning early in the research cycle.

From the early stage of the research design, through to the later stages of analysis and data storage, good data management equates to efficient research and the saving of time and resources.

Our two-day workshop, which combines both presentations and interactive activities, exercises and discussions, will provide PhD students with practical skills directly applicable to their own research. Drawing on a wide range of data – both quantitative and qualitative – the workshop will address the following key topics in data management:

  • documentation and contextual description
  • ethical and legal aspects of managing and sharing sensitive data
  • anonymising research data for reuse
  • writing a data management plan
  • data handling (e.g. file organisation and data storage and security)
  • data preparation

    By the end of the workshop, participants will know how to apply good data management practices in their own research, and will be able to work more efficiently and effectively with data individually or as part of a research team, where data are often co-produced and shared.

    This workshop is part of the FOSTER-CESSDA training series and is part funded by the European FOSTER project. Teaching will be delivered by trainers from across the CESSDA network.

    Trainers:

  • Veerle Van den Eynden, UK Data Service
  • Libby Bishop, UK Data Service
  • Irena Vipavc Brvar, Slovenian Social Science Data Archives (ADP)
  • Anne Sofie Fink Kjeldgaard, National Archives/Danish Data Archive (DDA)
  • Martin Donnelly, DCC
  • Agenda

    Data Management in an Open World: the data sharing agenda, the policy landscape & some useful resources
    Reusing Qualitative Data
    Reuse of research data – writing the economic history of Denmark using research data
    In practice – handling and sharing research data from human participants
    Access and licencing of data
    Irena Vipavc Brvar
    Legal and ethical issues in data sharing
    Anonymisation
    Veerle Van den Eynden
    Data documentation and contextual descriptions
    Handling qualitative data-transcription, listing (and Qualibank)
    Handling quantitative data and preparing for sharing and reuse, including data cleaning
    Publish Data
    Veerle Van den Eynden
    Support Services and Tools
    Veerle Van den Eynden

    Where

    University of Manchester

    Full details

    Organisers: UK Data Service
    Language: English

    Audience

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