1. Data collection and documentation
1.1 What data will you collect, observe, generate or re-use?
Questions you might want to consider:
- What type, format and volume of data will you collect, observe, generate or reuse?
- Which existing data (yours or third-
party) will you reuse?
Briefly describe the data you will collect, observe or generate. Also mention any existing data that will be (re)used. The descriptions should include the type, format and content of each dataset. Furthermore, provide an estimation of the volume of the generated datasets.
(This relates to the FAIR Data Principles F2, I3, R1 & R1.2)
Example of answer
This project will work with and generate three main types of raw data.
1. Images from transmitted-light microscopy of giemsa-stained squashed larval brains. 2. Images from confocal microscopy of immunostained whole-mounted larval brains. 3. Western blot data.
All data will be stored in digital form, either in the format in which it was originally generated (i.e. Metamorph files, for confocal images; Spectrum Mill files, for mass spectra with results of mass spectra analyses stored in Excel files; tiff file s for gel images; Filemaker Pro files for genetics records), or will be converted into a digital form via scanning to create tiff or jpeg files (e.g. western blots or other types of results).
Measurements and quantification of the images will be recorded in spreadsheets. Micrograph data is expected to total between 100GB and 1TB over the course of the project. Scanned images of western blots are expected to total around 1GB over the course of the project. Other derived data (measurements and quantifications) are not expected to exceed 10MB.