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Add blogpost on Uni Münster datastore launch (#267)
* Add blogpost on Uni Münster datastore launch * Add correct DOI string * Add ORCiD for Sarah Wiechers
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src/_data/post_authors.json

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"url": "https://orcid.org/0000-0002-1193-2298"
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},
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"SarahW91": {
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"name": "Sarah Wiechers"
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"name": "Sarah Wiechers",
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"url": "https://orcid.org/0000-0002-3899-3461"
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},
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"slint": {
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"name": "Alex Ioannidis",
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---
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title: "datastore: Relaunch of our research data repository"
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authors:
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- SarahW91
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date: 2026-04-14
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doi: https://doi.org/10.63517/312pg-rah44
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tags:
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- InvenioRDM
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- Showcase
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permalink: "/blog/2026-04-14-datastore-uni-muenster.md/"
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---
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![datastore landing page](/assets/images/blog-posts/datastore.png)
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We’ve recently completed a major overhaul of **datastore**, the research data repository of the University of Münster. The service has been fully rebuilt and is now running on **InvenioRDM v14.0.0b4**.
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This relaunch also marks a major technology shift: the previous datastore service was based on a **Java/React** stack. Moving to InvenioRDM helps us ensure **sustainable maintenance** and long-term **future viability** by building on a shared, actively developed codebase.
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datastore is available at: [https://datastore.uni-muenster.de/](https://datastore.uni-muenster.de/)
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### What’s improved
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The new system brings major improvements, both functionally and in terms of usability:
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- **Publish datasets up to 5 TB**
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Records can now include datasets up to 5 terabytes, better supporting data-intensive projects.
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- **Modern, streamlined UI**
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A clearer interface and updated design make creating and publishing records easier.
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- **Improved deposit guidance**
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More structured submission steps support more consistent documentation.
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- **Standardized metadata**
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Richer, more consistent metadata improves discoverability and supports long-term reuse.
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### CRIS-assisted metadata entry (local integration)
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To reduce manual entry and improve metadata quality, we implemented a local integration with the University of Münster’s **Current Research Information System (CRIS)**. During deposit, users can retrieve project-related metadata from CRIS and use it as a basis for describing their dataset.
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### Curation workflow with invenio-curations
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All submissions are curated by the University and State Library (ULB) and the Service Center for Data Management. We use the **invenio-curations module** developed in collaboration by **TU Graz** and **TU Wien** to ensure compliance with our metadata requirements and repository standards, improving the quality and reusability of published datasets.
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We also **extended the module with additional features**, e.g. ensuring that **records remain locked for editing while they are in curation**, which helps avoid conflicting changes and keeps the review process consistent.
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### Access and availability
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Deposits are available to **University of Münster members**. Published records can generally be **viewed openly**, depending on the access settings chosen for a dataset. The interface is currently **English-only**; a **fully translated German UI is planned for May** using the InvenioRDM translation workflow improved by the new **translation bundle** feature from TU Graz.
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For those interested in learning more about our implementation, you can contact our team at [forschungsdaten@uni-muenster.de](mailto:forschungsdaten@uni-muenster.de).

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