The DMP is part of your research plan. To avoid overlap between your DMP and the research plan, you can refer from one document to the other. Introduce your data analysis and other methods in your research plan.
Describe in this section, what kind of data you are going to collect or produce. Also discuss also what already existing data you are going to reuse (e.g. interviews, texts, images, photographs, audio or video recordings). If you are going to collect and process sensitive data, read more about data protection and the Uniarts Helsinki data protection policy.
Your answers to this section form a general structure for the rest of the plan. Categorize your data e.g. in the following way, and use the same categorization in all phases of your plan:
List the file formats for each data set. In some cases, the file formats used during the research project may differ from those used in archiving the data. List both.
There are several issues to consider while gathering data, such as legal and ethical issues, contextual factors taking place during the research (political climate etc.) and also information about the the process of collecting data. All relevant information is attached to the archived data. Finally all data is described adequately (metadata) so that it will be easy to find by others.
Data quality control ensures that no data is accidentally changed and that the accuracy of data is maintained over its entire life cycle. Quality problems can emerge due to the technical handling, converting or transferring of data, or during its contextual processing and analysis.
Discuss how data integrity and quality are controlled, as well as how they are managed. Quality control can mean, for example, making sure that the original quality of image and audio-visual files is maintained in compressed format, standardized observation methods and practices, validating data input, peer-reviewing data, or describing data using vocabularies.
Saavutettavuusseloste | Accessibility statement