The UT has since many years a data policy and ITC has developed guidelines based on this UT Data Policy.
Good scientific practice aims to carefully manage research data during and archive the data after every research project. It is important to keep the raw, processed and/or analyzed data available, as well as any documentation that is necessary for understanding the data and the way it was collected, processed and analyzed. Archiving plays an important role in accountability issues and allows the researcher to reuse his/her own data or to return to earlier stages of the research process when needed. As a result, research is becoming increasingly reproducible and verifiable.
"Proper RDM makes science more transparent and improves scientific integrity and societal trust”.
Research data means data in the form of facts, observations, images, computer program results, recordings, measurements or experiences on which an argument, theory, test or hypothesis, or another research output is based. Data may be numerical, descriptive, visual or tactile. It may be raw, cleaned or processed, and may be held in any format or media.” (University of Southhampton)
The ITC/UT policy on data policy is based on leading principles in the area of research data management, such as the FAIR principles, and on national frameworks such as the Netherlands Code of Conduct for Research Integrity
Data archiving should not conflict with agreements and conditions set by data suppliers and should be stored according to the GDPR.
Herewith a nice introduction video on the importance of Data Sharing and Management
A data management plan is a project document which tells the story of research data. It outlines what research data were collected, how they were collected and what will be done with the data during and after your research. Thinking in advance about how data are to be collected, stored, described, and archived and how access, sharing, reuse and linking to publications will be realised (keep track of the research progress more efficiently; easily find and understand the data created earlier; prepare the research data for future use (e.g., data publication, verification purposes or reuse of your data by others); comply with ethical guidelines, and institutional, funder and journal requirements is part of good research design
For any question about Research Data Management please contact email@example.com