Increasingly, a data management and sharing plan is required for stakeholders like funding agencies or journals. Often, such a plan is essential in order to share, archive, and manage your research data.
But what are the consequences of research data management (RDM) and how do you take care for the long-term preservation, access, and reuse of your data? And which skills or techniques will be needed in order to curate knowledge?
Effectively managing data can help to optimise research outputs, increase the impact of research, and support open scientific inquiry. After completing this workshop, PhD candidates will be better equipped to manage their data throughout the entire research data lifecycle, from the stage of project planning to the end.
The workshop introduces the principles and methods of research data management. Best practices will be shared for working with research data, including personal data and an international collaboration setting. It’s important to understand what it requires to be as open as possible and as closed as necessary.
After completion of this workshop, you will:
- Access available information and support for their data management plan and actions
- Apply the requirements of responsible data management know how to benefit from this
- Identify the legal responsibilities to be addressed in your research and data management plans
Entry level skills: experience with designing a research project.
Participants are not required to bring in their own data sets, but to have assessed their (potential) data set(s) in terms of issues already encountered or likely to encounter with working with your data.
Overview of preparatory assignments or additional notes, i.e:
1. Please answer these six questions:
- Is your research project conducted in an international partnership?
- Is this partnership a public-private collaboration?
- Is personal data or confidential data used in the research?
- Will the research project result in information and/or products that will become open access available, or commercially, or both?
- Is an infrastructure required for the processing / analysis / storage of the research data beyond which is available at the EUR workplace?
- Will the data processing be a manual activity, or is it automated and executed by scripts?
2. Take the training module:
(https://maken.wikiwijs.nl/125518/Privacy_in__Research) and read the 'one pager': Research, What We Expect Of You.
3. Suggested reading:
The Erasmus University Library has developed several e-learning modules on, among other subjects, responsible research data management. These modules consist of short videos, activating exercises and explanatory texts. The e-modules are complementary to our existing courses on information skills:
- Doing the literature review
- Searching and managing your literature
- Visual exploration of scientific literature with VOSviewer
Marlon Domingus is project manager RDM for EUR research. He leads the collaborating RDM community at EUR. In addition, he is co-chair of the legal working group at the National Research Data Management Coordination Point.