Die U Bremen Research Alliance und das interdisziplinäre Datenkompetenzzentrum Bremens, DataNord, laden dich herzlich zum Tag der Forschungsdaten ein! Lerne von Expert:innen und tausche dich mit Gleichgesinnten aus, um genau die Kompetenzen zu entwickeln, die du für deinen Forschungserfolg brauchst. Von Datenmanagement über Datenteilung bis hin zu innovativen Analysemethoden – in interaktiven Sessions und praxisnahen Workshops erlangst du das Wissen und die Werkzeuge an die Hand, um dein Forschungspotenzial voll auszuschöpfen.
Jetzt anmelden und profitieren von:
- Praktischer Erfahrung im Umgang mit „FAIR Data“-Praktiken in Workshops und Vorträgen
- Einblicken durch Datenexpert:innen an der DataNord Data Bar
- Austausch und Kooperationsmöglichkeiten mit anderen Forschenden an der FAIRplay Station
- Einem Teilnahmezertifikat zur Stärkung deines Lebenslaufs
Nicht verpassen! Melde dich jetzt an für den Tag der Forschungsdaten und mach den ersten Schritt in eine datengetriebene Forschungskarriere.
SuUB
Workshops & Vorträge in der SuUB, Universität Bremen
Freu dich auf eine Reihe spannender Vorträge und praxisorientierter Workshops – speziell konzipiert für Studierende und Nachwuchswissenschaftler:innen.
Lerne die Grundlagen eines effektiven Forschungsdatenmanagements kennen und entdecke neueste Tools und Methoden, die auf dein Fachgebiet zugeschnitten sind. Unsere Expert:innen geben Einblicke und teilen ihre Erfahrungen, um dich dabei zu unterstützen, deine Forschung auf das nächste Level zu bringen.
Alle Vorträge und Workshops finden auf Englisch statt (sofern nicht anders angegeben). Wir ermutigen dich ausdrücklich, Fragen zu stellen und dich aktiv mit unseren Referent:innen und Teilnehmenden auszutauschen.
Bitte melde dich im Voraus für jede Session an – die Details findest du in den jeweiligen Beschreibungen.
10:00 Parallele Sessions
Diese Sessions finden zur selben Zeit statt.
10:00-10:45: Forschungsdaten im Fokus – von der Theorie zur Praxis der Hochschule Bremen
Presenter: Indra Smith, Venue: Schulungsraum 1
Forschungsdatenmanagement ist essenziell für Forschende. Der Workshop "Forschungsdaten im Fokus" vermittelt in 60 Minuten praxisnahe Einblicke und Wissen über den Forschungsdatenlebenszyklus. Das FDM-Team der Hochschule Bremen und zwei Forschende geben eine Einführung in die Bedeutung und Verwaltung von Forschungsdaten. Der Workshop behandelt Planung, Erhebung, Verarbeitung, Publikation, Archivierung und Nachnutzung. Praxisbeispiele durch Interviews mit den Forschenden zeigen Herausforderungen auf, etwa beim Verknüpfen interdisziplinärer Daten oder dem Umgang mit Unternehmensdaten. Eine Diskussionsrunde bietet Austausch über Best Practices. Zielgruppe sind Promovierende, Postdocs und interessierte Studierende. Interaktive Elemente wie Live-Umfragen fördern den Austausch.
(This session will be held in German.)
Presenter: Indra Smith
Organizer: Hochschule Bremen (HSB)
Venue: SuUB, Schulungsraum 1
Time: 10:00-10:45
10:00-10:30: Accessing Valuable Datasets in Health Research
Presenter: Dr. Timm Intemann, Venue: Schulungsraum 2
Valuable health data is collected in studies that can be used to answer important research questions – even beyond the duration of the study. With secure and efficient access to these datasets, researchers can drive advancements in prevention and clinical practice. The Leibniz Institute for Prevention Research and Epidemiology – BIPS has created the BIPS Research Data Portal to provide easy data access for external researchers. During his presentation, Dr. Timm Intemann will explain the standardized workflow for requesting and using study data through the portal, options for secure data analysis, and the support available throughout the entire process. He will also present the Biomarkers4Pediatrics network as a practical example, showcasing the potential of combing diverse global datasets.
Presenter: Dr. Timm Intemann
Organizer: Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS
Venue: SuUB, Schulungsraum 2
Time: 10:00-10:30
10:00-11:30: Digital Humanities – Introduction, Data Sources, and Optional AI-Assisted Exercises
Presenter: Dr. Manfred Nölte, Venue: Besprechungsraum 1220
This workshop begins with an introduction to typical data sources and methods in the Digital Humanities. In the practical session, various exercises — such as full-text downloads, text analyses, evaluations, and result visualizations — are conducted, with AI assistance where applicable. Participants will use various free software tools to explore Digital Humanities application scenarios.
It is recommended that participants bring their own notebooks. The necessary tools can be installed in advance, with installation instructions provided beforehand. If time permits, participants are also encouraged to bring their own data and questions for discussion.
Presenter: Dr. Manfred Nölte
Organizer: State and University Library Bremen (SuUB)
Venue: SuUB, Besprechungsraum 1220
Time: 10:00-11:30
11:00 Parallele Sessions
Diese Sessions finden zur selben Zeit statt.
11:00-11:45: Sharing qualitative research data with Qualiservice
Presenter: Susanna Prepeliczay, Venue: Schulungsraum 2
The Research Data Centre (RDC) Qualiservice at University Bremen (www.qualiservice.org) archives, curates and provides all types of qualitative research data (e.g. interview transcripts; observation protocols; audiovisual media…) from all Social Sciences disciplines, including Sociology; Political Sciences; Ethnography; Cultural or Religious Sciences; Criminology and others.
The preparation of qualitative research data for archiving and scientific re-use has to consider methodological, ethical and legal challenges due to person related and sensitive contents. For this collaborative task of social researchers and RDC, Qualiservice provides counselling, tools, services and support. Study related metadata are published online and DOIs ensure citability and findability. Qualiservice cooperates with specialised information services for the Political Sciences (Pollux), Ethnology (EVIFA), Criminology (KrimDok) and Sociology (SocioHub).
Presenter: Susanna Prepeliczay
Organizer: Research Data Centre (RDC Qualiservice)
Venue: SuUB, Schulungsraum 2
Time: 11:00-11:45
Registrations are also possible via email: info@qualiservice.org
11:00-12:00: Publishing Research Data Sustainably – Advancing Science through Open Data
Presenter: PANGAEA Trainings Team, Venue: Schulungsraum 1
Join us for an engaging one-hour workshop designed for students and early-career researchers, offering practical insights into the world of research data publication. With 30 years of experience, the renowned data repository PANGAEA will guide you through the fundamental concepts of Open Science and Open Data, showing how sharing research data contributes to scientific progress.
The workshop covers the importance of sustainable data publication, the impact of data curation on data quality, and how it benefits you and the scientific community. Topics include finding the right repository, how to prepare your data for publication and best practices for publishing with PANGAEA. Through practical exercises, you'll gain the skills needed to share your research data responsibly and create your own data legacy.
Presenters: PANGAEA Trainings Team
Organizer: PANGAEA Data publisher
Venue: SuUB, Schulungsraum 1
Time: 11:00-12:00
11:45 Parallele Sessions
Diese Sessions finden zur selben Zeit statt.
11:45-13:45: Economic Research Data - Needs, Sources, Current (in German)
Presenters: Dr. Uwe Staroske, Dr. Manfred Nölte, Venue: Besprechungsraum 1220
This workshop is dedicated to the increasing importance of economic data and its analysis. It begins with a brief introduction to data sources and methods. In a further section, the needs identified by the scientific community will be described. There is a consensus that the availability of economic and social science data in Germany lags behind that of many neighboring countries in terms of quality and quantity. The consequences are manifold: the evidence on which economic policy decisions were based in the past did not come from Germany due to a lack of availability, because not enough data was available. This means that politicians and administrators lack relevant information for their decisions. Researchers in Germany often prefer to work with foreign data on foreign issues.
An overview is given of the areas in which important data is missing and how the data gap can be reduced.
(This session will be held in German.)
Presenters: Dr. Uwe Staroske, Dr. Manfred Nölte
Organizer: State and University Library Bremen (SuUB)
Venue: SuUB, Besprechungsraum 1220
Time: 11:45-13:45
12:00-14:00: Hands-on research data anonymisation: Textual data
Presenters: Monika Leichtling, Dr. Sebastian Schlerka, Venue: Schulungsraum 2
How can qualitative research data be anonymised? Anonymisation requires balancing the conflicting goals of protecting personal data and enabling scientific re-use. To address both privacy and research needs, Qualiservice has developed the concept of flexible anonymisation/pseudonymisation. This approach allows researchers to create scientific use files with varying degrees of anonymisation by selectively revealing or concealing information contents, depending on the research purpose. The concept of flexible anonymisation is implemented by the anonymisation tool QualiAnon. This workshop provides a hands-on introduction to the flexible anonymisation of qualitative text data and the use of QualiAnon.
Presenters: Monika Leichtling, Dr. Sebastian Schlerka
Organizer: RDC Qualiservice
Venue: SuUB, Schulungsraum 2
Time: 12:00-14:00
Registrations are also possible via email: info@qualiservice.org
12:15-13:45: Rotating Tables - Handling Research Data Using the Example of DataNord
Presenters: Nour Naaouf, Rasmus Cloes, Floriann Louis, Vinicius Carrillo Beber, Venue: Schulungsraum 1
The Data Competence Center DataNord brings together experts to jointly address critical data science challenges and foster digital transformation in the Bremen region. The initiative builds powerful data infrastructures and drives the use of Big Data and AI. The offered World Café is an interactive format that engages participants and experts in discussions around key questions related to handling research data. It’s a space to exchange ideas, identify gaps, develop solutions, and find synergies. The tables are thematically aligned with the various DataNord projects on topics such as healthy planet, citizen science, synthetic data, and AI methods for improved data quality and usability. Join us at the rotating tables and be inspired by our speakers – no prior knowledge is required.
Presenters: Nour Naaouf, Rasmus Cloes, Floriann Louis, Vinicius Carrillo Beber
Organizer: DataNord
Venue: SuUB, Schulungsraum 1
Time: 12:15-13:45
14:00-15:00 Data Story
Data Champion 2025 Edition
Presenter: Data Champion 2025
The Data Champion Award is an accolade presented annually by DataNord. The award recognizes outstanding achievements in the field of research data and a special commitment to the FAIR handling of research data.
This award is intended not only to acknowledge individual accomplishments in the fields of data-intensive science, data science, and research data management (RDM), but also to serve as an incentive to continue working at the highest level and to drive innovation forward.
The Award Ceremony will take place during the evening event of Research Data Day. Additionally, the Data Champion 2025 will also showcase their work in an exclusive Data Story during the day program.
Find out more about Data Stories here: www.bremen-research.de/data-train/courses/data-stories
Presenter: Data Champion 2025
Organizers: Data Train, UBRA
Venue: SuUB, Schulungsraum 1
Time: 14:00-15:00
Glashalle
Mach mit bei unseren Aktivitäten in der Glashalle von 10:00 - 15:00 Uhr!
DataNord Data Bar - Meet the experts
DataNord Data Bar
Hol dir Expertenwissen an der DataNord Data Bar
Du hast Fragen rund um Daten? Dann komm zur Data NordData Bar! Unsere Datenexpert:innen stehen dir Rede und Antwort – ob zu Datenmanagement, FAIRer Forschung oder anderen Themen.
Expert:innen aus lokalen Dateninitiativen unterstützen dich dabei, Herausforderungen zu meistern, Best Practices kennenzulernen und deine Datenkompetenzen auszubauen.
Komm vorbei stell all deine Fragen!
FAIRplay Station & Data Snack
FAIRplay Station & Data Snack
Spielen, Lernen und Vernetzen im FAIRplay
Gönn dir eine Pause von den Sessions und besuche unsere FAIRplay Station, wo Daten auf Spiele treffen!
Tausche dich in entspannter Lounge-Atmosphäre mit unseren Datenexpert:innen aus, lerne die FAIR-Prinzipien auf spielerische Weise kennen – und genieße einen Kaffee vom Coffee-Bike direkt vor Ort.
Ein besonderes Highlight: der Data Snack – inklusive kleinem Lunch-Snack!
Komm vorbei, spiel mit, vernetze dich und lerne dazu!
The FAIR Wheel of Fortune
Interactive station game called The FAIR Wheel of Fortune by the State and University Library of Bremen with FAIR and RDM related questions. The interactive spot highlights the importance of persistent identifiers such as ORCIDs for researchers or DOIs for datasets, metadata, data citation, interoperability and many other good-to-know aspects to increase the FAIRness of data. Not only researchers but also students can participate and learn about these Principles, which will help them in the future to deal with data in more efficient, open and collaborative ways.
Research data can be a bit like leftovers—easy to lose track of what’s what and sometimes hard to identify. Without a clear system, finding the right file can feel like digging through a fridge full of mystery containers.
Often, talks about research data management are full of overwhelming buzz words and acronyms like FAIR data, RDM and DMPs. This talk is here to help you avoid the data chaos. We’ll walk you through simple, practical strategies for organizing your (research) data, covering folder structures, file naming conventions, storage and backup, version control, and documentation.
No matter your discipline, good research data organization saves time, reduces frustration, and makes collaboration smoother. For researchers, it ensures that data remains accessible and reusable, and for students, it builds habits that make academic (and later professional) life much easier. Join us for some snackable tips that will keep your data fresh, your workflow smooth, and your future self very, very grateful.
Presenter: Dr. Susanne de Vogel, Sarah Büker
Organizers: DataNord, DSC
Time: 12:00-13:00
Register now and join us for lunch!
Exhibition and posters
Exhibition
The creation of Digital Twins of collection objects holds great potential for contemporary museum practice: It enables innovative modes of user interaction as well as novel ways of knowledge production. But complex questions arise with regard to data management, accessibility, and storage. On a hands-on Laser Scan Station, members of the German Maritime Museum's Digitality Group will show typical processes and challenges in 3D-Scanning, and talk about the ways the museum organizes its research data handling. Visitors are invited to bring small (interesting) objects or items to be 3D-scanned: Do they pose a particular technical challenge, like reflecting surfaces? Do the convey an intriguing object history that can be better grasped by interacting with a three-dimensional model?
Presenters: Prof. Dr. Sebastian Vehlken (DSM), Dr. Amandine Colson (DSM)
Organizers: Dept. for Digitality and Materiality, Deutsches Schifffahrtsmuseum - Leibniz-Institut für Maritime Geschichte, Bremerhaven
Join us at the Data Bar, where we will provide you with tablets to interact with an information system that was co-created with social scientists to meet their needs + align with RDM principles.
Presenter: Dr. Nils Düpont (CRC1342 "Global Dynamics of Social Policy")
Organizer: CRC1342 "Global Dynamics of Social Policy"
Additionally, there will be posters on
Centralised Sample Management at the AWI with SAMS
Comprehensive data management is the basis for research at the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research. To facilitate the digitalisation of the entire data flow, an integrative, centralised sample management system (SAMS) is being developed in cooperation with the IndiScale GmbH. This poster presents our system, which will serve as a repository for metadata on sample collection and storage, and ensure the unique identification of samples.
SAMS is based on the open source software LinkAhead. This is a flexible semantic data management system that offers access via a graphical web-based user interface and programmatic API clients. It can be modified and extended for different applications.
Presenters: Maren Rebke (Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research), Florian Spreckelsen (IndiScale GmbH)
Organizers: Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (in collaboration with IndiScale GmbH)
DataNord - Empowering Bremen's Researchers in Data Literacy
Ready to sharpen your data skills?
DataNord is an interdisciplinary Data Competence Center for the Bremen region, tailored to support researchers at every career stage in their work with data.
We will guide you how to effectively utilize DataNord to enhance your data literacy and maximize the potential of your data.
Our practical opportunities to boost your data proficiency, including specialized trainings, self-paced learning materials, hackathons, summer schools, counselling services, networking events, and research-project support will be introduced.
Data Train - Training in Research Data Management and Data Science
Data Train program of the U Bremen Research Alliance – Training in Research Data Management and Data Science
Join us to find out your opportunities in the Data Train program - which is provided annually and targeted at doctoral researchers (but also open to everyone interested whenever possible). The training focusses on basic competencies in research data management and data science. The curriculum and further training components (like Data Stories: Insights & networking, Hacky Hours: Discuss among peers, Digital Toolkit: Help yourself, and Data Factories: Bring your data and emerge as Data Scientist) of the Data Train program will be introduced.
Efficient Data Access for ZMT Marine Research: The ZMT DataPortal
In 2020, the Leibniz Centre for Tropical Marine Research (ZMT) established the Research Data Service (RDS) working group to support the management of research data in its scientific projects. The RDS provides a secure technical infrastructure for cross-border collaboration and expert advice to scientists at ZMT and its (inter)national partners.
This poster shows how frameworks for support have evolved until today and where they are heading in the future. The RDS provides guidance throughout the entire data lifecycle – from project planning to completion and data reuse. Researchers collaborate in the ZMT DataCloud and the computing cluster ZMT DataLab. Additionally, the ZMT DataPortal provides access to historical and current (meta)data from ZMT research data.
The success of the RDS at ZMT is based on the interdisciplinary expertise of its team. Specialists in data management for the natural and social sciences, (geospatial) data collection, research systems engineering, and databases work closely together to develop tailored solutions. At a strategic level, management decisions shape the direction, priorities, and integration of the service within ZMT, as well as its multi-scale research landscape. This makes ZMT a compelling example of institutional research data management, combining expert-led operational assistance with a strong strategic foundation.
Presenters: Birte Hemmelskamp-Pfeiffer (ZMT), Florian Spreckelsen (IndiScale)
Organizers: Leibniz Centre for Tropical Marine Research (ZMT), IndiScale GmbH
Establishment of a Research Data Service for Tropical Marine Research
In 2020, the Leibniz Centre for Tropical Marine Research (ZMT) established the Research Data Service (RDS) working group to support the management of research data in its scientific projects. The RDS provides a secure technical infrastructure for cross-border collaboration and expert advice to scientists at ZMT and its (inter)national partners.
This poster shows how frameworks for support have evolved until today and where they are heading in the future. The RDS provides guidance throughout the entire data lifecycle – from project planning to completion and data reuse. Researchers collaborate in the ZMT DataCloud and the computing cluster ZMT DataLab. Additionally, the ZMT DataPortal provides access to historical and current (meta)data from ZMT research data.
The success of the RDS at ZMT is based on the interdisciplinary expertise of its team. Specialists in data management for the natural and social sciences, (geospatial) data collection, research systems engineering, and databases work closely together to develop tailored solutions. At a strategic level, management decisions shape the direction, priorities, and integration of the service within ZMT, as well as its multi-scale research landscape. This makes ZMT a compelling example of institutional research data management, combining expert-led operational assistance with a strong strategic foundation.
Presenters: Birte Hemmelskamp-Pfeiffer, Sebastian Swirski, Alexandra Nozik, Finn Opätz, Philipp Gies, Helen George, Marion Rieken
Organizer: Leibniz Centre for Tropical Marine Research (ZMT)
Research Data Management for Space Missions: Practical Experiences and Lessons Learned
We present our advances to implement Research Data Management into the development and operation phases of our satellite mission PLUTO. We additionally highlight a selection of tools to archive, organize and visualize Research Data.
Presenter: Finn Welzmüller (DLR)
Organizers: German Aerospace Center (DLR), Institute of Space Systems
Step-by-step guide to data archiving in PANGAEA
PANGAEA - Data Publisher for Earth & Environmental Science has a 30-year history as an open-access library for archiving, publishing, and disseminating georeferenced data from the earth, environmental and biodiversity sciences. It is operated as a joint facility of the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) and the Center for Marine Environmental Sciences (MARUM).
Here, we provide a “Step-by-step guide to data archiving in PANGAEA” in poster format giving an overview regarding 1) accepted data types and file formats in PANGAEA, 2) the requirements for data and metadata, 3) the submission process, 4) the editorial review process, and 5) the citation of published PANGAEA datasets.
Presenter: Team PANGAEA
Organizer: PANGAEA Data Publisher
The National Research Data Infrastructure: FAIR Data Towards Open Science
The National Research Data Infrastructure (NFDI) offers researchers practical tools and services for managing, sharing, and preserving research data, and provides guidance on topics related to FAIR* research data management. The nationwide, DFG-funded initiative was founded in 2021 and is organized into 27 domain-specific consortia to build interoperable and robust data infrastructures across all scientific fields. Bremen is involved in 9 of these consortia, including MatWerk, NFDI4Biodiversity, NFDI4Health, KonsortSWD-NFDI4Society, NFDI4Ing, NFDI4Earth, NFDI4Memory, NFDI4Objects und NFDI4Culture, NFDI4Microbiota and NFDI4Energy. Visit us at the NFDI corner at the Data Bar, learn more about our services and explore how the NFDI can support you and your data.
*F = Findable, A = Accessible, I = Interoperable, R = Reusable
Presenter: Team NFDI Bremen
Organizers: NFDI-MatWerk, NFDI4Biodiversity, NFDI4Health, KonsortSWD-NFDI4Society, NFDI4Ing, NFDI4Earth, NFDI4Memory, NFDI4Objects, NFDI4Culture, NFDI4Microbiota and NFDI4Energy
Training, Consultation, and More for Your Data Research – Services from the Data Science Center
The Data Science Center offers free, tailored support for researchers at all career stages – whether you're working with big or small data, simple questions or complex challenges.
Visit us to explore how we can empower your research. We provide a broad range of services to help you get the most out of your data, including expert training, one-on-one consulting, funding opportunities, and access to IT infrastructure.
Stop by the Data Bar to meet our team, talk through your data questions, and get hands-on support throughout the entire data lifecycle - from proposal writing and data management to analysis and publication.
Join us for engaging discussions on Open Science, FAIR Data, and the potential of AI in research – and don’t miss our “FAIR wins” game!
Abendveranstaltung
"Gemeinsam Daten nutzen: FAIRe Lösungen für eine bessere Gesellschaft"
Die öffentliche Abendveranstaltung zum Tag der Forschungsdaten 2025 findet unter dem Motto "Gemeinsam Daten nutzen: FAIRe Lösungen für eine bessere Gesellschaft" statt.
Durch den Abend im Festsaal der Bremischen Bürgerschaft leitet Sie Felix Krömer von Radio Bremen mit einem abwechslungsreichen Programm: Impulsgebende Vorträge, die Preisverleihung des Data Champion Awards 2025 sowie eine lebendige Podiumsdiskussion mit Expert:innen aus Wissenschaft, Politik und Wirtschaft.
Die UBRA und das Bremer Datenkompetenzzentrum DataNord heißen alle interessierten Personen - ob aus Studium, Wissenschaft, Forschung oder darüber hinaus - herzlich willkommen!
Die Veranstaltung findet in deutscher Sprache statt und die Plätze sind begrenzt. Um Anmeldung bis zum 31. Mai 2025 wird gebeten.
ab 17:30 Ankommen
18:00 Eröffnung der Veranstaltung
Willkommensworte im Namen der U Bremen Research Alliance und DataNord
Wie Datenkompetenzen Lösungen für die Region schaffen
18:15 Verleihung des Data Champion Awards 2025
18:30 FAIR future skills: Der Schlüssel zur kooperativen Datenkultur
19:00 Podiumsdiskussion zum Thema „Welche Formen der Zusammenarbeit sind notwendig, um durch Datenkompetenz wirksame Lösungen für gesellschaftliche Probleme zu entwickeln?“
Dr. Georgi Dimitrov, Referatsleiter “Digital Education” der EU Kommission
Georgi Dimitrov leitet das Referat für “Digitale Bildung” in der Generaldirektion Bildung, Jugend, Sport und Kultur der Europäischen Kommission. Seit seinem Eintritt in die Kommission im Jahr 2008 war er maßgeblich an der Gründung des Europäischen Innovations- und Technologieinstituts (EIT) beteiligt. Zudem war er federführend an der Entwicklung und Einführung von HEInnovate beteiligt – einer Initiative der Europäischen Kommission und der OECD zur Unterstützung unternehmerischer und innovativer Hochschulen. Georgi Dimitrov ist verantwortlich für die Ausarbeitung des ersten Aktionsplans für digitale Bildung, der im Januar 2018 angenommen wurde, sowie für die Entwicklung des aktuellen Aktionsplans für digitale Bildung 2021–2027. Vor seiner Tätigkeit bei der Kommission arbeitete er sowohl für ein führendes multinationales Telekommunikationsunternehmen als auch für ein Softwareentwicklungsunternehmen in Deutschland. Er hat Abschlüsse von der Universität Bonn (M.A.), der Universität Erlangen-Nürnberg (Ph.D.) sowie der Open University im Vereinigten Königreich (MBA in Technology Management).
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Prof. Dr. Dennis-Kenji Kipker, Professor für IT-Sicherheitsrecht, Hochschule Bremen und Wissenschaftlicher Direktor am cyberintelligence.institute, Frankfurt a.M.
Prof. Dr. Dennis-Kenji Kipker ist wissenschaftlicher Direktor des cyberintelligence.institute in Frankfurt a.M., Vorstand der Strategieberatungsgesellschaft CERTAVO AG, Gastprofessor an der privaten, durch die Soros Foundation begründeten Riga Graduate School of Law in Lettland sowie FORBES Technology Council. Er forscht zu Themen an der Schnittstelle von Recht und Technik in der Cybersicherheit, Konzernstrategie sowie zu digitaler Resilienz im Kontext globaler Krisen mit einem Forschungsschwerpunkt insbesondere im chinesischen und US-amerikanischen IT-Recht. Kipker ist Berater der Bundesregierung und der Europäischen Kommission sowie Mitglied im Advisory Board des litauischen Cybersecurity Unicorns NordVPN, des Münchener IT-Sicherheitsunternehmens Myra Security und im BSI-Expertenkreis Cybersicherheit für den Weltraumsektor. Überdies ist er als Fachgutachter des US Fulbright Stipendienprogramms, des Schweizerischen Nationalfonds, der Bayerischen Akademie der Wissenschaften und der Alexander-von-Humboldt-Stiftung tätig. 2024 wurde Professor Kipker zum Vorsitzenden des neuen Digitalbeirats der gematik gewählt, dem höchsten Gremium in Deutschland, das über die Digitalisierung der Krankenkassen mit entscheidet. Ehrenamtlich beteiligt sich Dennis Kipker in den USA am World Justice Project und im Advisory Board des African Center for Cyberlaw & Cybercrime Prevention (ACCP) an der Nelson Mandela Universität in Südafrika.
"Die Verwendung von Daten bedeutet nicht nur Nutzen, sondern auch Verantwortung. Verantwortung, die wir nur gemeinschaftlich interdisziplinär durch Wissenschaft, Wirtschaft, Politik und Verwaltung gestalten können."
Prof. Dr. Sonja Schimmler, Gastprofessorin für Forschungsdateninfrastruktur an der Technischen Universität Berlin und Forschungsgruppenleiterin bei Fraunhofer FOKUS
Zitat folgt
Beschreibung folgt
Prof. Dr. Antje Wulff, Professorin für Big Data in der Medizin, Carl von Ossietzky Universität Oldenburg
Seit März 2022 ist Prof. Dr. Antje Wulff Professorin für Big Data in der Medizin an der Fakultät VI - Medizin und Gesundheitswissenschaften der Carl von Ossietzky Universität Oldenburg. Sie erforscht die Nutzbarmachung medizinischer Routine- und Forschungsdaten, wie diese interoperabel gespeichert und ausgetauscht und unter dem Einsatz datengetriebener Methoden und KI-Verfahren für die Entwicklung von klinischen Entscheidungsunterstützungssystemen genutzt werden können.
"Mit hochwertigen Daten aus Versorgung und Forschung lassen sich Lösungen entwickeln, die medizinische Entscheidungen und Versorgungsprozesse gezielt unterstützen – dafür braucht es effektives Datenmanagement und interdisziplinäre Zusammenarbeit."
