|Define expected data outcomes and types|
In the planning process, researchers should carefully consider what data will be produced in the course of their project.
Consider the following:
- What types of data will be collected? E.g. Spatial, temporal, instrument-generated, models, simulations, images, video etc.
- How many data files of each type are likely to be generated during the project? What size will they be?
- For each type of data file, what are the variables that are expected to be included?
- What software programs will be used to generate the data?
- How will the files be organized in a directory structure on a file system or in some other system?
- Will metadata information be stored separately from the data during the project?
- What is the relationship between the different types of data?
- Which of the data products are of primary importance and should be preserved for the long-term, and which are intermediate working versions not of long-term interest?
When preparing a data management plan, defining the types of data that will be generated helps in planning for short-term organization, the analyses to be conducted, and long-term data storage.