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2 changes: 1 addition & 1 deletion docs/src/community/team.md
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Expand Up @@ -46,7 +46,7 @@ The [LIFE Institute](https://www.uniklinikum-leipzig.de/einrichtungen/life/) of
### Medical Informatics Initiative: "Data Sharing Framework Community" (2023-2026)


![BMBF Logo =228x158](/photos/learnmore/funding/bmbf.png)
![BMFTR Logo =228x158](/photos/learnmore/funding/bmftr.png)

The DSF Community connects the DSF competencies of the entire [Medical Informatics Initiative (MII)](https://www.medizininformatik-initiative.de/de/start) so that new use cases, in particular from Module 3 or the [Network University Medicine (NUM)](https://www.netzwerk-universitaetsmedizin.de/), are better supported in creating the respective DSF plugins. In the context of Module 2b, the DSF Community contributes to the further development of the common digital infrastructure of the MII together with the [FDPG+](https://forschen-fuer-gesundheit.de/) and [TRANSIT](https://www.gesundheitsforschung-bmbf.de/de/transit-medizininformatik-struktur-data-management-unit-16148.php) projects. [BMBF](https://www.gesundheitsforschung-bmbf.de/de/dsf-medizininformatik-struktur-data-sharing-framework-community-16133.php)

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2 changes: 1 addition & 1 deletion docs/src/explore/concepts/README.md
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## Overview of DSF

The **Data Sharing Framework (DSF)** is a secure middleware solution designed to facilitate data sharing across different organizations for biomedical research. It utilizes BPMN 2.0 and FHIR R4 standards to support processes such as data extraction, merging, pseudonymization, and provisioning. Funded by the German Federal Ministry of Education and Research as part of the Medical Informatics initiative, the DSF aims to improve data interoperability and security across institutional boundaries.
The **Data Sharing Framework (DSF)** is a secure middleware solution designed to facilitate data sharing across different organizations for biomedical research. It utilizes BPMN 2.0 and FHIR R4 standards to support processes such as data extraction, merging, pseudonymization, and provisioning. Funded by the German Federal Ministry of Research, Technology and Space as part of the Medical Informatics initiative, the DSF aims to improve data interoperability and security across institutional boundaries.

## Key features and benefits

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4 changes: 2 additions & 2 deletions docs/src/explore/concepts/introduction.md
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title: Introduction
icon: customize
---
The [German Federal Ministry of Education and Research](https://www.bmbf.de) is funding the [Medical Informatics Initiative](https://www.medizininformatik-initiative.de/en/start) with the aim of making routine data available digitally, reliably and quickly for medical research. University hospitals have founded consortia with partners such as research institutions and other companies to create the conditions for research and patient care to share their data across sites. Data Integration Centers (DIC) have been established at the university hospitals and partner institutions to create the technical and organizational conditions for data exchange between patient care and medical research.
The [German Federal Ministry of Research,Technology and Space](https://www.bmftr.bund.de/) is funding the [Medical Informatics Initiative](https://www.medizininformatik-initiative.de/en/start) with the aim of making routine data available digitally, reliably and quickly for medical research. University hospitals have founded consortia with partners such as research institutions and other companies to create the conditions for research and patient care to share their data across sites. Data Integration Centers (DIC) have been established at the university hospitals and partner institutions to create the technical and organizational conditions for data exchange between patient care and medical research.

![MII =300x150](/photos/learnmore/funding/mii.png)

The **Data Sharing Framework (DSF)** was developed within the HiGHmed consortium of the Medical Informatics Initiative and is now funded as an independent project by the German Federal Ministry of Education and Research within the Medical Informatics structure as *[DSF Community](https://www.gesundheitsforschung-bmbf.de/de/dsf-medizininformatik-struktur-data-sharing-framework-community-16133.php)*.
The **Data Sharing Framework (DSF)** was developed within the HiGHmed consortium of the Medical Informatics Initiative and is now funded as an independent project by the German Federal Ministry of Research,Technology and Space within the Medical Informatics structure as *[DSF Community](https://www.gesundheitsforschung-bmbf.de/de/dsf-medizininformatik-struktur-data-sharing-framework-community-16133.php)*.

The DSF is a concept for a secure middleware to distribute data sharing processes, aiming to extract, merge, pseudonymize and provide data stored in multiple distributed DICs. A researcher can use the DSF for example to submit feasibility queries to several DICs and thus has the opportunity to obtain sufficient data from different locations for his or her research. By using international standards such as FHIR and BPMN 2.0, the problem of heterogeneous data models, primary systems, architectures and federated legislation between DICs can be solved. The aim is to enable secure and syntactically-, semantically- and process-interoperable data exchange across organisational boundaries.

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2 changes: 1 addition & 1 deletion docs/src/for-you/index.md
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Expand Up @@ -20,7 +20,7 @@ icon: creative

## Overview of DSF

The **Data Sharing Framework (DSF)** is a secure middleware solution designed to facilitate data sharing across different organizations for biomedical research. It utilizes BPMN 2.0 and FHIR R4 standards to support processes such as data extraction, merging, pseudonymization, and provisioning. Funded by the German Federal Ministry of Education and Research as part of the Medical Informatics initiative, the DSF aims to improve data interoperability and security across institutional boundaries.
The **Data Sharing Framework (DSF)** is a secure middleware solution designed to facilitate data sharing across different organizations for biomedical research. It utilizes BPMN 2.0 and FHIR R4 standards to support processes such as data extraction, merging, pseudonymization, and provisioning. Funded by the German Federal Ministry of Research, Technology and Space as part of the Medical Informatics initiative, the DSF aims to improve data interoperability and security across institutional boundaries.

## Key features and benefits

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---
---
# Data Sharing Framework
The **Data Sharing Framework (DSF)** is a concept for a secure middleware to distribute data sharing processes based on the BPMN 2.0 and FHIR R4 standards. The DSF is used to support biomedical research with routine data, aiming to extract, merge, pseudonymize and provide data stored in multiple distributed organizations. Every participating site runs a FHIR endpoint accessible by other sites and a business process engine in the local secured network. The process engines execute BPMN processes in order to coordinate local and remote steps necessary to enable cross-site data sharing or feasibility analysis. This includes access to local data repositories, use-and-access-committee decision support, consent filtering, and privacy preserving record-linkage and pseudonymization. The aim is to enable secure and syntactically-, semantically- and process-interoperable data exchange across organizational boundaries. The secure communication infrastructure is funded by the German Federal Ministry of Education and Research within the Medical Informatics structure as *[DSF Community](https://www.gesundheitsforschung-bmbf.de/de/dsf-medizininformatik-struktur-data-sharing-framework-community-16133.php)*.
The **Data Sharing Framework (DSF)** is a concept for a secure middleware to distribute data sharing processes based on the BPMN 2.0 and FHIR R4 standards. The DSF is used to support biomedical research with routine data, aiming to extract, merge, pseudonymize and provide data stored in multiple distributed organizations. Every participating site runs a FHIR endpoint accessible by other sites and a business process engine in the local secured network. The process engines execute BPMN processes in order to coordinate local and remote steps necessary to enable cross-site data sharing or feasibility analysis. This includes access to local data repositories, use-and-access-committee decision support, consent filtering, and privacy preserving record-linkage and pseudonymization. The aim is to enable secure and syntactically-, semantically- and process-interoperable data exchange across organizational boundaries. The secure communication infrastructure is funded by the German Federal Ministry of Research, Technology and Space within the Medical Informatics structure as *[DSF Community](https://www.gesundheitsforschung-bmftr.de/de/dsf-medizininformatik-struktur-data-sharing-framework-community-16133.php)*.

![DSF concept](/photos/info/introduction/dsf-concept.png)


## News

**Recap: DSF Community Meeting 2025 in Heidelberg**
The DSF Community meet-up in Heidelberg brought together developers and contributoers to share ideas and discuss the latest progress in the DSF Community project. Highlights included updates on DSF 2.0, API 2.0, and a sneak peek at the new Linter Tool. The event wrapped up with a look ahead to 2026.
[Read more](/posts/2025-11-18-dsf-meet-up-2025)

---
**DSF at the Operaton Release Party!**
On Friday, November 21st, 2025, Hauke Hund and Maximilian Kurscheidt from the Data Sharing Framework (DSF) team will attend the Operaton Release Party at the itemis headquarters in Dortmund to celebrate the upcoming release of [Operaton 1.0](https://operaton.org/). Don’t miss out on this exciting event and attend in person or through the livestream! [Read more](/posts/2025-11-12-operaton-release-party)
On Friday, November 21st, 2025, Hauke Hund and Maximilian Kurscheidt from the Data Sharing Framework (DSF) team will attend the Operaton Release Party at the itemis headquarters in Dortmund to celebrate the upcoming release of [Operaton 1.0](https://operaton.org/). Don’t miss out on this exciting event and attend in person or through the livestream!
[Read more](/posts/2025-11-12-operaton-release-party)

---
**DSF 2.0.0 - First Release Candidate (RC1)**
Expand All @@ -49,14 +56,9 @@ We are happy to announce the DSF 2.0.0 Release Candidate (RC1)! This milestone r

---

**Operaton**
The Data Sharing Framework is entering an exciting new phase. With the upcoming DSF 2.0 release, we are transitioning our business process engine from Camunda 7 to Operaton 1.0.0, a modern, open-source BPMN 2.0 engine. This move marks a significant step toward improved scalability and long-term maintainability.
[Read more](/posts/2025-10-02-operaton-DSF-2.0)

---

#### Feel free to contact us via <a href="mailto:[email protected]">[email protected]</a> and we will take care of your request as soon as possible.

<div class="image-container">
<img src="/photos/learnmore/funding/bmbf-mii.png">
<img src="/photos/learnmore/funding/bmftr-mii.png">
</div>
3 changes: 2 additions & 1 deletion docs/src/posts/2025-11-12-operaton-release-party.md
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Expand Up @@ -19,7 +19,7 @@ The event promises to be an exciting opportunity to network and meet the Operato

Alongside our presentation, other participants will also give short talks. If you’re curious about the topics covered, you can view the full event details on **[LinkedIn](https://www.linkedin.com/events/7377335371619024896/)**.

For those unable to attend in person, the event will also be streamed live!
For those unable to attend in person, the event will also be streamed live! Full videos of the talks are available [here](https://us06web.zoom.us/j/85166976056?pwd=1r5qb0irh5MbMRr7Q6riz0tWljLq9e.1)



Expand All @@ -31,6 +31,7 @@ For those unable to attend in person, the event will also be streamed live!
* 17:30–17:50 DSF Presentation
* **Location:** itemis, Speicherstraße 8, Dortmund (3rd floor – new harbor office)
* **Livestream:** [Release Party](https://www.linkedin.com/events/operatonreleaseparty-online7392236568436133888/)
* **Videos:** [Talks](https://us06web.zoom.us/j/85166976056?pwd=1r5qb0irh5MbMRr7Q6riz0tWljLq9e.1)

View full event details on [LinkedIn]( <https://www.linkedin.com/events/7377335371619024896/>)

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28 changes: 28 additions & 0 deletions docs/src/posts/2025-11-18-dsf-meet-up-2025.md
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---
title: "DSF Community Meeting 2025 in Heidelberg"
date: 2025-11-18
type: "news"
excerpt: "The DSF Community meet-up in Heidelberg brought together developers and contributoers to share ideas and discuss the latest progress in the DSF Community project. Highlights included updates on DSF 2.0, API 2.0, and a sneak peek at the new Linter Tool. The event wrapped up with a look ahead to 2026."
article: true
category:
- News
tags:
- News
- DSF
- Community
- Events
---

**Recap: DSF Community Meeting 2025 in Heidelberg**

The annual DSF Community meet-up took place on Thursday, November 13th, and Friday, November 14th in Heidelberg. Contributors and developers from the funded project from Leipzig, Heidelberg and Heilbronn gathered to share ideas, connect, and dive into the latest progress around the DSF project.

Thursday kicked off with presentations on the **DSF 2.0 Release Candidate (RC)** and **API 2.0**, followed by discussions on a long-term communication strategies for future releases, hackathons, and other community initiatives. Afterwards, migration strategies for process plugins to the API 2.0 were discussed.

We had a first look at the brand-new **Linter Tool**! This tool will expand the support for process plugin developers and strengthens the DSF development toolkit. It’s still in active development but will be released shortly on GitHub.

The day wrapped up with dinner and plenty of chatting at *Urban* Kitchen Heidelberg.

Friday startet with looking back at what the DSF Community achieved in 2025 and setting our project plan for 2026. We talked through key milestones, future events, publications, and both the annual and final reports.

All in all, the meet-up was a really productive and successful and shapes the further direction of the DSF and the community. Thank you to everyone who joined, contributed, and organized this years meet-up.