1. Data Collection and documentation
1.1 What data will you collect, observe, generate or re-use?
Content to be filled in by: JK, NL, KD, AD
For each dataset in your project (including data you might re-use) mention:
- Data type. Examples: Text, Image, Audio, Video, Tabular data, Computer source code, Relational database, Spectrum, DNA/polypetide sequence.
- Data origin: mention if it is existing data that you reuse (yours or third-party), and reference ot the source if relevant.
- Format of raw data as created by the device used, simulation or downloaded. Open standards formats should be preferred as they maximise reproducibility, reuse by others and in the future. Examples: TIFF (uncompressed), Coma Separated Values (CSV), PDF-A v1.7, SQL (PostgreSQL 9.6.3), MPEG-4 (for video). See the list of recommended formats [https://www.authorea.com/users/88088/articles/180876-snsf-dmp-recommended-data-formats].
- Format of curated data (if applicable). Again, these format should if possible be open standards.
- Estimation of volume of raw and curated data.