Linking community and technology to enable FAIR data
The MERLN Institute for Technology-Inspired Regenerative Medicine, performs research that operates at the interface of biology and engineering. By combining creative research with training of a new generation of interdisciplinary scientists, they aim to maintain a leading position in the field of biomedical engineering.
"The DataHub infrastructure provides MERLN with a backend service for upload, storage and indexing."
Reduced storage costs
MERLN has steadily grown over the years. As a result, many research is being done, which naturally generates a large amount of data. MERLN focuses on regenerative medicine and frequently uses data-heavy microscopy imaging techniques.
To reduce yearly storage costs for MERLN, in 2020, DataHub has migrated about 16TB data from the HNAS storage to the cheaper CEPH storage. This migration process has reduced costs and saves MERLN approximately €1900 yearly. MERLN now uses CEPH storage as the default resource for storing existing and future projects. Some data sets are even suitable for migration to tape storage, resulting in a further reduction in costs.
"Being able to save on storage costs is a very welcome solution. DataHub offers cheap storage, local support and a safe way of storing data. Sharing data with colleagues is very easy, thereby increasing the reusability of their data."
Together with DataHub, MERLN has created a repository cBiT (Compendium for Biomaterial Transcriptomics) that incorporates material science and transcriptomics-based cell biology, with a focus on clinically relevant materials. For this repository the DataHub infrastructure is used as a backend service for upload, storage and indexing. In addition to the cBiT repository, MERLN uses DataHub for archiving their research data.
A custom search frontend was designed and implemented by Dataminded and Hatch that perfectly fits the demands and wishes that were given by members of MERLN. This is textbook example where the generic DataHub infrastructure is enriched with a domain specific extension module. More information about the cBiT repository can be found in this Biomaterials publication.