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4.4.15
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
New NFDI4Health Webinar Series
The NFDI4Health webinar series on Secure Processing Environments (SPEs) is designed to provide researchers with a clear understanding of SPEs. It also offers practical guidance on how they enable the safe and efficient use of sensitive health data while supporting hashtag#FAIR principles.
Date & Time: 15 April 2026 | 16:00–17:00
Lecturer: Prof. Dr Ulrich Sax
Format: Online via Zoom | Podcast-style format
Registration:https://eveeno.com/297221536
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
Kick-off for the NFDI4Health Data Stewards: Let's go!
18 Data Stewards came together at TMF e. V. in Berlin last week to officially launch the NFDI4Health Data Steward activities.
The aims of the meeting were to:
▪️ present the wide range of NFDI4Health FAIR-Services and support
▪️ connect the Data Stewards with one another
▪️ present the first Roadmap
Find the NFDI4Health FAIR-Services here: https://www.nfdi4health.de/en/service.html
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
Training in Data Literacy
Data Train is a hybrid training that strengthens data literacy among researchers at all career stages.
Starter Track: The U Bremen Research Alliance offers a free modular training programme.
Register until 31 January 2026: https://www.bremen-research.de/data-train/courses#Starter-Track
Data Train Advanced: The programme will 2026 additionally be offered as fee-based Data Train Advanced, leading to a Certificate of Advanced Studies. Register until 30 April 2026: https://www.uni-bremen.de/weiterbildung/fuer-den-beruf/it-digitalisierung/data-train-advanced
(c): UBRA
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
NFDI4Health Project Funding: 75% Research Position
Apply now: NFDI4Health is funding projects in research data management.
The funding call focuses on projects that:
▪️ use and evaluate the NFDI4Health FAIR-Services &
▪️ identify open challenges in research data management.
Funding: up to 75% of a researcher position (TV-L E13)
Duration: up to 30 months
Application deadline: 27 February 2026
Full announcement: https://www.nfdi4health.de/en/news-eng/calls.html
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
📢 NFDI4Health Survey on NFDI Data Repositories 📢
The DFG is currently preparing a funding call for data repositories in the context of the National Research Data Infrastructure.
Through this survey, NFDI4Health aims to assess the demand and requirements for data storage capacity in general, with a particular focus on clinical, epidemiological, and public health study data. Many thanks for your support!
Access the survey here: https://survey.uni-koeln.de/index.php/539178?lang=de
Deadline: 10 July 2025 at 12:00
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
🌟 Meet-the-Data: Insights into COVID-19 Data Projects 🌟
In our webinar series “Meet-the-Data”, leading research institutes present their valuable datasets from various fields of health sciences. This time, we are taking you behind the scenes of COVID-19 research projects. 👁️
📅 Date: 06 June 2025
🕓 Time: 16:00–16:45
📍 Location: Online (Zoom)
✅ Register now: https://eveeno.com/979860156
The webinar series Meet-the-Data@Gesundheitsforschung is organized by NFDI4Health & BIH QUEST Center @Charite.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
🎙️New Podcast series: “Research Data: Handle With Care”🎙️
Our new podcast series kicks off today and addresses challenges, strategies, and best practices for managing research data effectively. In our first episode “Research Data Management 4 All” we discuss why research data management is essential for every research project.
🎧 Listen In on Spotify: https://open.spotify.com/show/7wVhLhkDSQlt8yIoV6KjGK
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
🚀 Meet-the-Data is entering its second round! 🚀
This time, we’re looking beyond the horizon — to England! 🇬🇧 We are very pleased to welcome our guest speaker Ben Lacey from the University of Oxford. He will introduce us to the datasets of the UK Biobank - a large-scale prospective study and research resource.
👉 Today, over 30,000 approved researchers from 90+ countries are already using UK Biobank data.
🗓️ Register here for the webinar on 7 May 2025 (16:00–16:45): https://eveeno.com/979860156
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
🇪🇺 Open Friday Lecture on the European Health Data Space 🇪🇺
This time, we turn our attention💡to the highly topical issue of the European Health Data Space (EHDS) 🌍📊. We look forward to welcoming our guest speaker, Ira Miessler from the Bundesministerium für Gesundheit 👩⚖️. In her talk, she will provide a detailed overview of the EHDS and its implications 🧠📚.
🕙 Date: Friday, 23 May 2025
🌐 Location: Online
✍️ Registration: https://eveeno.com/785661092
ℹ️ Lecture language: English
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
📚💻 Open Friday Lecture: Anonymisation & Legal Aspects 📚💻
NFDI4Health invites you to its next Open Friday Lecture on "Legal Framework for Secure and Data-Efficient Research Data Processing" with Prof. Dr. Dennis-Kenji Kipker, a renowned expert in cybersecurity and law. 🛡️⚖️
The lecture will cover:
🔒 Legal frameworks for health data processing
⚙️ Data preparation for secure exchange
🇪🇺 European guidelines on pseudonymisation
🕙Date: Friday, 28 March 2025
✍️Register here: https://eveeno.com/128381611
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
🌟 NFDI4Health announces 2nd funding for Local Data Hubs 🌟
📢 Exciting opportunity: NFDI4Health is offering 6,000 € to support the prototypical implementation of a Local Data Hub. The Local Data Hub serves to present and exchange your projects, studies, publications, (bio)medical data, models and software tools based on the FAIR principles 🌍📊.
⏰ Application Deadline: 31 March 2025
📅 Information Event: 14 March 2025
📢 Announcement of Funding: 15 April 2025
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
In personal health research, large amounts of data are produced that are subject to high quality standards and stringent data protection criteria. NFDI4Health opens up new possibilities for the scientific use of these data by standardizing collection, storage, merging, sharing and publication processes according to the FAIR principles. This leads to an optimal use of personal health data and facilitates new therapy options, improved medical and care supply and increased preventive measures.
👏 NFDI4Health welcomes DFG Impulse for Digital Sovereignty 👏
📄🤝We explicitly welcome the recently published DFG discussion paper "Digital Research Practices and Cooperative Information Infrastructures" and align with the identified fields of action to promote interoperability, cooperation, and sustainability.
