Data gathering
It is worth considering and documenting the following:
- What data that will be collected?
- What methodologies and how will the data be collected?
- Who will documented and described the collected data?
If the data is sensitive there are other considerations such as:
- Who is collecting the data, and do they need training to safely collect the data?
- Who has access to the data, and do all project collaborators require complete access to the data?
- Full read/write access to all data/documents ⇒ partial read only access to certain data/documents ⇒ no access to any data/documents
Data types and formats
Consider the types, formats and volume of data that may be collected or generated, and how that may be need to be stored.
- Data types: textual data, surveys and/or interviews, also agricultural, soil and farm data, laboratory results, photographs, fieldwork, and engagement workshop data
- Data formats: spreadsheets/databases, text, and images as well as geospatial data, physical samples, sequencing data, and protein models. Data that is being output by machinery may be in proprietary formats, can that data be converted to a more readily accessible format?
- Data volume: How much data will be generated? The type of data will somewhat dictate the storage space requirements E.g., video vs image vs numerical/text files
- Data access: Who has what type of access to the data? Access may be read/write or ready only to all files or selected folders, or limited access to selected folders.
