Library - Events archive

We go through step by step how to plan research data management in practice, e.g, with the DMPTuuli tool. We also discuss how to describe the responsibilities and estimate the resources needed in research data management. Part of the Research data management thematic lectures.

We discover, how to follow the guidelines for UEF’s storage solutions and backups for own data, how data can be shared with others during and after the research, what do data opening, publishing, and archiving mean and where to find a suitable storage place for the data after the research.

In this session, the Qvain tool is introduced and shown in practice: what Qvain is and how to use it. We also discuss how Qvain tool promotes open science and open research data.

We discover what describing and documenting data mean, why and how these should be done, what FAIR-principles are and how to follow those principles, what a persistent identifier is and how to get one.

We examine what research ethics means in research data management, what handling personal or sensitive data is and what kind of immaterial property rights concern research data (e.g., ownership, licenses).

We go through the basic elements of research data management (RDM): What research data are, what data management and data quality mean in practice.