Get to know ECRIN's clinical research Data Sharing Repository (crDSR)
ECRIN’s clinical research Data Sharing Repository (crDSR) supports data sharing in clinical research. The crDSR can hold any type of digital object data sets, documents, media files etc. in a secure research environment. If you are a a sponsor looking for a space to store your participant level data, ECRIN has a GDPR compliant place for you to do this.
The crDSR aims to support clinical researchers in sharing their data in compliance with EU legislation. The repository is capable of holding any type of digital object, such as data sets, documents, media files etc., in a Trusted Research Environment (TRE).
Individual Patient Data (IPD) is collected in anonymised or pseudonymised format, together with the contextual information provided by protocols, analysis plans, templates of consent forms etc.
The repository collects the metadata necessary for the Findability of the studies and of their data objects and makes them publicly available; it also follows and records all the legal steps necessary for the GDPR compliant sharing of sensitive data. By making clinical trial data findable and accessible, the crDSR amplifies the impact of patient's data, enabling patient-level data re-analysis and meta-analysis, and ultimately fostering clinical research. It also provides an easy way to comply with the sharing requirements of publicly funded research.
To share a little bit more about what to expect, we spoke to Elena Bardach, Team Lead for Data Management at CTC Cologne Clinical Trials Centre. Elena is a pilot user of the crDSR, who has has piloted the first submission of IPD data into the repository.
How was your experience as a first pilot user of crDSR?
As one of the first pilot user of crDSR, I found the platform intuitive and efficient for uploading final data. The process went smoothly overall, and I appreciated the structured approach. Naturally, as with any pilot, there were learning experiences along the way, but the support provided by ECRIN group was helpful in addressing them.
Would you like to share your data in crDSR again in future?
If the project requirements align with the functionalities offered by crDSR, I would certainly consider using it again. The structured data-sharing process has potential benefits, and I look forward to seeing how the platform evolves.
Will you recommend other data centers to use crDSR?
I believe that crDSR could be a valuable tool for data centers looking for a structured and efficient way to share data. Depending on the specific needs of a project, it could certainly be worth exploring.
Head to the website to see how the crDSR can elevate the impact of your research.
