Data Handling from planning to publishing of research data
In order to be able to share data and make dem available for reuse towards the end of a research project, it is important to think about this already in the beginning of the research datas' life cycle, under the planning phase. Each of these stages contains differents tasks and areas of responsibility when it comes to the management of the research data.
The Planning Phase
A data management plan is a useful tool in the beginning of a research project. Not only do more and more research sponsors require a data handlings plan when one is applying for research funding, but it will also make it easier to plan for the sharing of research data towards the end of the project period.
Research that initially contains personal data requires a legal rationale in order to be shared legally in line with the Personal Data Act that implements GDPR as Norwegian law (data sharing is considered a specific processing activity in the same way that the collection of data itself is considered another). When it comes to research, two legal bases are relevant: consent and public interest. In many cases will it be most appropriate to use consents. This is also in line with the national research ethic committee's (NESH) research ethics guidelines for the social sciences and humanities.
Read more about the processing of personal data in research. If you have other questions about privacy in relation to archiving and open publishing of data sets that initially contain personal data, you can also contact the library's open research team.
Classification and storage of research data
In a data management plan describes, among other things, how you plan to store the research data that you expect a given research project will generate. In this context it can be useful to look closer how research data and information is securely classified and then in the storage guide that explains how different classified data should be stored.
Structuring and Sytematizing of Research Data
All research projects benefit from the research data and other resources, that are used or are generated in the research process, are structured and systematised in specific ways that are agreed upon by the parties involved. It is important to think how the data are systematised in different files, folders and subfolders and how these will be named. This will give an overview both during the research project but also afterwards. Good structuring of the research data is also a prerequisite if the data are to be shared and thus becomes retrievable and reusable for other afterwards. It is purposeful (and sometimes required) to describe the data in a ReadMe-fil.
Archiving and Sharing of Research Data - DataverseNO
Ostfold University College has entered into an institutional agreement with the research data archive DataverseNO, where it is possible to publish and make research data available. Read more about how you go about using DataverseNO.
Licensing of Research Data
When it comes to licensing of data sets, for example if you are publishing research on DataverseNO, it is also important to think about which license you choose. Read more about the licensing of research data.
Metadata and Metadata Standards
In connection with data handling and archiving and open publishing of research data, it is appropriate to learn more about metada and metadata standards.