- Replaced old images with current BMFTR images

- updated name of BMFTR
- Set up page for news

Author: Serap Aydin

docs/src/.vuepress/public/photos/learnmore/funding/bmftr-mii.png

@@ -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)
 

docs/src/.vuepress/public/photos/learnmore/funding/bmftr.png

@@ -19,7 +19,7 @@ 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
 

docs/src/community/team.md

@@ -2,11 +2,11 @@
 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.
 

docs/src/explore/concepts/README.md

@@ -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
 

docs/src/explore/concepts/introduction.md

@@ -33,7 +33,7 @@ features:
 ---
 ---
 # 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)
 
@@ -58,5 +58,5 @@ The Data Sharing Framework is entering an exciting new phase. With the upcoming
 #### 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>

docs/src/for-you/index.md

@@ -0,0 +1,16 @@
+---
+title: "DSF Meet-up 2025!"
+date: 2025-11-19
+type: "news"
+excerpt: " "
+article: true
+category: 
+  - News
+tags:
+  - News
+  - DSF
+  - Events
+---
+
+# DSF Community Meetin in Heidelberg
+