Research data management (RDM) skills are valuable to researchers.
- Skills and knowledge related to RDM are the precondition to ensure the quality of data, the documentation, preservation and reuse of data.
- RDM skills are needed especially in the beginning of research process when writing data management plans to fulfil the funders’ requirements. Before the data gathering phase begins, it’s imperative that all the permissions and licenses are in order.
- Furthermore, when opening the data, RDM know-how is needed.
Comprehensive training materials
The target group of this web course are social science researchers, but its is useful for all researchers who work with quantitative and qualitative data originating from human participants. The course is produced by CESSDA ERIC (the Consortium of European Social Science Data Archives European Infrastructure Consortium).
Easy to follow, comprehensive course with good structure. Recommended!
This 30-min online tutorial is appropriate for all members of the University who undertake research with some kind of digital aspect. The tutorial is informative and easy to follow.
An open introductory course into the practices of Open Science explains how to make the most of the existing outputs of open research. This course is suitable for anyone interested in Open Science. Even though most of the course is in Finnish, some of the sections (Open Access as the basic principle of science, Research planning that enables Open Access, Open Science Knowledge Test) are available in English.
Avoimen tieteen ja tutkimuksen osaajakoulutus (Open Science training material)
Most of the material is in Finnish. The topics covered vary from opening the research process, opening of research outputs to opening research data.
You can access the videos and materials of previous trainings.
Mantra is a web based training course that takes you through the whole RDM-process. Mantra is divided to nine learning modules: documentation and metadata, data management planning, sharing, organising, storing and security. The course offers a general introduction to RDM, no answers to specific how-to-do questions.
Each module consists of learning objectives and content from 16 to 30 pages. Furthermore, eight modules include assignments, quizzes and video clips on researchers’ talk about their experiences. An extra “Do it yourself” package is designed for librarians but the content (presentations, reflective questions and assignments) can be applied in trainings for research personnel, as well.
Mantra is provided by the University of Edinburgh and is updated by the librarians at the University of Edinburgh.
- Visual Resources Centre ; Open Science and images
Handbooks provide a broad understanding of RDM from a general point of view.
The handbook discusses the most important themes of open science and research.
The Finnish Social Science Data Archive guidelines help to understand the RDM related themes from the perspective of the research data life cycle. The guidelines consist of eight themes: the purpose of data management and reuse, data management planning, copyrights, informing research participants, processing quantitative and qualitative data, anonymization and storage. Although researchers from all branches of research benefit from the comprehensive guidelines, the researchers who use survey and textual data might benefit most.