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--- rdms:rdmsproject:start [2024/05/14 13:46] – burcu
+++ rdms:rdmsproject:start [2025/01/27 12:40] (current) – fixed wording giulio
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 ====== About the RDMS ======
-The proper management of research data is becoming increasingly important. On one hand, there is a shared ambition within the UG and among research funders to adhere to the various facets of the  [[https://en.wikipedia.org/wiki/Open_science|Open science]] framework and the [[https://en.wikipedia.org/wiki/FAIR_data|FAIR data principles]]. On the other hand, concerns about the rules and regulations imposed by [[https://en.wikipedia.org/wiki/General_Data_Protection_Regulation|GDPR]] have arisen, alongside the growing opportunities for data reuse if datasets are discoverable and reusable.
+The Research Data Management System (RDMS) is the **long-term data storage** solution for the University of Groningen (UG). It helps researchers comply with the 10-year data storage requirement outlined in the UG and the NWO data management policies. RDMS is designed to help researchers adhere to the  [[https://en.wikipedia.org/wiki/Open_science|Open science]] framework and the [[https://en.wikipedia.org/wiki/FAIR_data|FAIR data principles]], while also considering the regulations imposed by the [[https://en.wikipedia.org/wiki/General_Data_Protection_Regulation|GDPR]].
+RDMS offers [[https://wiki.hpc.rug.nl/rdms/solution/multizone|two zones]]: one for sensitive research data (Sensitive Data Zone) and one for non-sensitive research data (Default Data Zone). It uses the open source data management software [[https://irods.org/|iRODS]].
-Current storage solutions (X/Y drive, [[https://unishare.nl/|Unishare]], Google Drive, NAS) do not adequately meet the standards of the long-term data storage. This includes advanced advanced metadata management, visualisation of user permissions and policy implementations, and access audit.
+**Current RDMS functionality (January 2025):**
+  * A centralized long-term data storage system for research data (both sensitive and non-sensitive data).
-With the RDMS we aim to meet the requirements of modern data management.
+  * Data sharing within the UG.
+  * Automated policy implementation.
-**Current RDMS functionality (April 2024):**
+  * The option to add customized metadata and extract metadata from file headers for enhanced search.
-  * A centralized storage system for research data, hosted on UG premises.
+  * Data storing in personal and [[rdms:solution:team|team]] environments.
-  * A safe solution for managing and archiving files.
+  * Different user roles and permissions.
-  * The  option  to  add  metadata  to  files  and  collections  and  folders  for  increased searchability and findability.
+  * Advance data query options. Saving and exporting the query results.
-  * Ability to implement automated data policies.
-  * Sharing data with scientists within the UG.
-  * Collecting, sharing and re-using data in [[rdms:solution:team|teams]] and [[rdms:solution:projects|projects]].
-  * Secure storage of the data on various levels depending on the vulnerability of the data.
-  * Different ways to transfer data to and from the RDMS for [[rdms:access:windows|Windows]] and [[rdms:access:mac:|Mac]] for a flexible selection depending on the user demands.
   * A connection to the HPC clusters [[rdms:access:hpc|Hábrók]] and Snellius as well as the [[rdms:access:lwp:|Linux Workspace (LWP)]] for easy data transfer via command line.
 Moreover, we are continuously working on the RDMS to increase the user experience and add new functionalities.
-**Important new features that are in progress:**
+**Upcoming functionalities:**
-  * Possibility to collaborate with external users.
+  * Audit & activity log: Users can trace back the history of actions performed on a given data file and identify who performed them.
-  * Possibility to publish data that is archived in the RDMS.
+  * Publishing metadata in public repositories to facilitate Open Science Framework.
-  * Improvements for the project archiving workflow.
 ==== User Training ====