Collect & Manage

Implement FAIR data management, organize research outputs, maintain version control, and ensure quality

image quadrant 2 with checklist box

FAIR Resear Data Management

something about FAIR data principles storage back up organisation and file naming documentation meadatastandards -> link to discipline specific section tutorial card

Reproducible data acquisition

reproducible protocols

something about reproducible protocols (wet lab) - link to protocol.io, video reproducible protocol writing

Standard data acquisition

something about SOP for data acquisition e.g. using machines and automatising with programing any preprocessing step if possible - R, Python cards

Anonymisation

data anonymisation

modifying real data, removing identifiers, aggregation, ect

synthetic datasets

generating simulated data based on the properties of the real dataset

Checklist