Tools

DAISY

DAISY is an open-source web application that allows biomedical research institutions to map and manage their data and data flows during research project compliant and efficient.

Its tailored specifically for biomedical research, supporting complex data flows and tagging projects with controlled vocabulary terms to denote the study features.

DAISY is comprehensive information system linking research projects, datasets, contracts and more. It acts as internal cataloque of main research assets while enabling their streamlined and compliant registration and management.

Using multiple integration options, DAISY can act as ground truth database, exposing metadata and data to other periferies of broader research data management infrastructures. This includes exposing internal datasets externally in public data catalogs, membership of researchers in projects, data access permissions and more.

How to start?

Try DAISY using our DEMO instance.
Get familiar with the offical DAISY user guide
Contact ELIXIR data steward

Why?

To keep a variety of metadata about the projects, datasets, contracts or collaborators.
To fulfils GDPR requirements effectively by creating its own GDPR data register.
To enhance collaboration between partners.
To provide information for vairous internal stakeholders - legal officers, regular researchers, principal investigators, data stewards and data protection officers.
To finally obtain a streamlined and complete picture about your data processing.

For more information about DAISY:

DAISY: A Data Information System for accountability under the General Data Protection Regulation GigaScience, Volume 8, Issue 12, December 2019.
Provenance-enabled stewardship of human data in the GDPR era (F1000 poster)
Alper P. et al. (2018) Provenance-Enabled Stewardship of Human Data in the GDPR Era. In: Belhajjame K., Gehani A., Alper P. (eds) Provenance and Annotation of Data and Processes. IPAW 2018. Springer Lecture Notes in Computer Science, vol 11017.