Publication Year: 08. 04. 2017 Date of last inspection: 08. 04. 2017
How to cite this page?
Social Science Data Archives. YEAR. I. Discovery and Planning. Accessed: http://adp.fdv.uni-lj.si/eng/usposobi/zkg/nacrtovanje/ (DD. month year).
Typical activities within Discovery and Planning Phase are:
It is important to assure that research data are properly managed already in the discovery and planning phase in order to assure access to quality data. Research Data Management planning is intended to assure such quality data, since it includes care for the quality in collecting data, selecting data of long-term value and care for their long-term access.
The result of such a plan is a data publication in a data centre that is being reused by others and cited as a scientific reference in subsequent publications.
Research Data Management Plan
Laurence Horton, ADP course for doctoral students, Ljubljana 2015
During the entire research process, a special care needs to be given to the highest level of quality of the created research data. This includes the following aspects of preparing and conducting research:
„Data Management Plans (DMPs) are a key element of good data management. A DMP describes the data management life cycle for the data to be collected, processed and/or generated by a Horizon 2020 project. As part of making research data findable, accessible, interoperable and reusable (FAIR)...“.
Guidelines, 2016: 4.
DMP includes planning, describing and reporting about research procedure with the goal to:
The topics of the research data management plan may be seen in the document bellow or downloaded in .
Newnormal Research, 2020: A detailed insight into consumer response and changes in consumer behaviour in the post-epidemic period - Cumulative dataset
Newnormal Research, 2020: A detailed insight into consumer response and changes in consumer behaviour in the post-epidemic period - Slovenia
Delavnica: Research data management when working with children and youth
Zaključna konferenca projekta TRIPLE: Improving Discovery and Collaboration in Open Science, 1.-3. 2. 2023, Bonn