Good data management is fundamental for high quality research. While many PhD students are acquiring the skills to collect and analyse data, there is a deficit of training in handling and managing the research data they produce.
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. Furthermore, it is a prerequisite for data sharing, a practice that is increasingly required by journal publishers and funding agencies.
Our two-day workshop, which combines both presentations and interactive activities, 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 aspects of data management:

  • Data handling (e.g., file organisation and data storage and security)
  • Documentation
  • Informed consent and ethics
  • Anonymisation
  • Transcription
  • Data preparation

    By the end of the workshop, participants will know how to apply various data management best 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.

    May 26

    Welcome

  • 08.45 – 9.00 Coffee and registration
    Part I: Introduction to data management
  • 09.00 – 09.45: Becoming a data management expert in the new world of Open Data.
  • 09.45 – 10.15: Planning for your data
    10.15 – 10.30: break
    Part II: In-depth topic: data handling
  • 10.30 – 12.00: Data handling in practice
  • 12.00 – 13.00: Lunch
  • 13.00 – 14:00: Data handling in theory
    Part III: Data management crash course (part I)
  • 14.00 – 15.00: Informed consent
  • 15.00 – 15.30: break
  • 15.30 – 16.00: Transcription
  • 16.00 – 16.30: Data cleaning and preparation
  • 16.30 – 17.00: Data counselling (optional)
  • 17.00: Close of day 1

    May 27
    Part I: In-depth topic: data documentation

  • 09.00 – 10.30: Data documentation in practice
  • 10.30 – 11.00: Data documentation in theory
  • 11.00 – 11.15: break
    Part II: Data management crash course (part II)
  • 11.15 – 12.30: Anonymisation of qualitative data
  • 12.30 – 13.30: Lunch
  • 13.30 – 15:00: Anonymisation of quantitative data
  • 15.00 – 15.30: break
  • 15.30 – 16.00: Post-use & re-use
    Part III. Wrap-up
  • 16.00 – 16.45: Developing a long-term data strategy
  • 16.45 – 17.00: Conclusion
  • 17.00: End of the workshop


    Speakers:
  • Stam Alexandra
  • Kleiner Brian
  • Netscher Sebastian

    • Agenda

    Zip file with all presentations and training materials

    Where

    Université de Lausanne Bâtiment Géopolis CH-1015 Lausanne

    Full details

    Organisers: CESSDA
    Language: English

    Topics

    Research Data Management
    Research Data Management Plans
    Research Data Management Services
    Research Data Management Standards
    Research Data Management Tools
    Research Data Management Policies

    Related Resources

    Latest Tweets ( #fosterscience)

    Creative Commons badge Unless otherwise stated, all materials created by the FOSTER consortium are licensed under a CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE.



    EU flag This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 612425.
    This project has also received funding from the European Union's Horizon2020 programme for research, technological development and demonstration under agreement no 741839.