Research data management for junior researchers: essential knowledge and fundamental steps (512)

29 November 2017

Ilaria Orsi

Dr Audrey Bellier, Ms Eliane Blumer, Mr Jean-Blaise Claivaz

Over the last few years, research data and its appropriate management has become increasingly the focus of attention. From one hand the funders (public or private) are more and more interested to know how researchers manage the data produced thanks to their funding; and from the other hand the scientific journals require researchers to publish the dataset alongside with the articles in order to be able to analyse its quality and to allow reproducibility. Whether their interests lie in the digital humanities or the challenges of big data, for a career in academia or in industry, researchers need to be aware of these recent developments and be ready to provide the data that underpin their analyses and results. As professionals, researchers can no longer risk the loss of a dataset or apparent confusion over their results: clarity and availability are essential. This interactive workshop will give participants the essential knowledge to respond to these requirements, and will provide fundamental steps to cover the entire research data management cycle – from the launch of a project until its end. During the workshop, participants will learn about:

• Planning research according to funders' requirements using a data management plan (DMP)
• Documentation and organisation of research data with existing tools such as TextGrid (for humanities) or Colectica (social and economic sciences) or openBIS (for life sciences)
• Valorisation of research data by publication in appropriate data repositories with appropriate licences or in data journals.

Learning Outcomes

At the end of the day participants will:

• Be able to plan their research by using a DMP and ensure compliancy
• Be able to use tools such as TextGrid, Colectica or openBIS for research data documentation and organisation, including naming standards, formats, security and back-up
• Know the discipline landscape of data repositories along with their advantages/disadvantages
• Have learnt how to upload a dataset into a specific repository
• Know the data licence options and how they work
• Know what data papers are all about

Theory parts will be short in order to focus on hands-on practical works and discussions. A laptop is necessary for the online exercises.

Preparatory work Participants will be asked to respond to a preliminary survey one week before the workshop.

Université de Genève

Date : Wednesday 29 November 2017

Schedule: 09:00 to 16:30

Location: University of Geneva

Trainers

• Audrey Bellier, PhD, Information professional, trainer at Schmidheiny Library Uni Arve, collaborator at Coordination Open Access and Research Data, CODIS, University of Geneva
• Eliane Blumer, Information specialist, Coordinator of DLCM project at NTICE UNIGE and scientific collaborator at Coordination Open Access and Research Data, CODIS, University of Geneva
• Jean-Blaise Claivaz, coordinator of Open Access and Research Data, CODIS, University of Geneva

Participants are eligible for reimbursement of incurred travel expenses by train between the town of their university and the location of the workshop (half-fare card, 2nd class). For full-day workshops, lunch costs will be reimbursed upon presentation of original receipts (no photocopies or scans). A reimbursement form will be supplied to all registered participants for this workshop.

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