Data Mapping, the process of taking an inventory of and tracking the flow of data that is collect, processed, analyzed and/or published in a research project. This exercise of ‘following’ data from the beginning to the end of a research project can provided a framework to understand the relevant legal, compliance or regulation applicable in a given research project.
A comprehensive data map helps to ensure all collaborators on a research project understand the flow of data together with an understanding of the laws, regulations, and/or compliance together with any intellectual property rights considerations should be considered.
The following are key considerations in creating a data map:
- Types of data being collected
- Purpose for each type of data being collected
- Timing for data collection
- Ownership of the data
- Flow of the data (e.g., via paper, electronic storage)
- Locations data will reside or be used
- Plans for data security
- Plans for secure transfer of data
- Internal and external team members involved in the project
Using the a data mapping tool, to map the data for your research. For instance, a research question could be completed online related to a discovery.