2026/01/01 by Marvin Keller, Maximilian Przybilla, Jannik Sehring +20 · 1 voice
Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Genetics, Bioinformatics, and Biomedical Research #Reproductive Biology and Fertility #Research Data Management Practices
paper · doi:10.1093/database/baag037
openalex publication_date 2026/01/01 · openalex created_date 2026/07/12 · openalex updated_date 2026/07/27
The preservation of samples, whether they are from humans, cell lines, animals, plants, or other resources, usually follows a similar process. They are packaged in appropriate containers, whether tubes for cryogenic containers or boxes in freezers or other systems. For this biological sample database to be and remain useful, the samples must be appropriately cataloged and consecutively maintained in a document. After all, only when it is clear where which sample is located, the biological database has a value. In many cases this documentation is done in local spreadsheets and saved in e.g. CSV or XLSX format. In some cases, there are even handwritten records to comprehend where which sample is located. The intention behind a biological database is mainly the collection of rare material, but also the withdrawal of this material from the storage for further analysis, partly in-house but presumably also with external cooperation partners. If a sample is now taken from a container that has already been completely filled and stored, this empty space can only be re-allocated with a sample with great administrative effort, since new samples would otherwise be stored in the container that is currently active. With NORG we address this problem. NORG offers a stand-alone software solution via webservices to catalog e.g. nitrogen tanks and store the contents digitally with a color-coding for the filling level of the storages. In addition, NORG can trace who sent which sample to whom and when, for example to have it analyzed by a cooperation partner.