Our Goals
Our club brings together data experts from various disciplines, creating a platform for exchanging ideas on research data management, data science, and related topics. In regular meetings, we share practical approaches and solution strategies, with the goal of sustainably integrating data competencies into the workflows of the entire data lifecycle.
Data Champion Award
The Data Champion Award recognizes outstanding work with research data or exceptional commitment to a FAIR approach to research data. The award, endowed with 1,500 euros, is presented annually to individuals from the DataNord consortium who have made a significant impact on improving data competency, data management, or the responsible application of data science methods. Nominations are announced in the spring, and the award ceremony takes place on Research Data Day (usually in mid-June).
Noemi Betancort Cabrera
Data and systems librarian at the SuUB
"I think that Research Data Management requires knowledge and expertise in so many different aspects and disciplines that it would be quite impossible for one or a few people to master them all. In Bremen, we have a valuable opportunity to achieve this as a community by participating, collaborating, and learning from each other."
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Expertise: General topics of research data management, Metadata, Ontologies, Knowledge graphs, Management of qualitative data, Data integration.
I am the contact person for Research Data Management at the State and University Library Bremen (SuUB), especially for questions of FAIRness of data and metadata. I have gained my experience with research data through my collaboration with the Research Data Center Qualiservice since 2012, where, among other things, I learned about the challenges researchers face when managing, organising and publishing research data. In this regard, I have learnt that supporting researchers in the creation of FAIR data should not only be provided at the end of the research project or at the time of publication, but throughout the lifecycle of the data. General aspects of interdisciplinary metadata management and scientific publication processes, and mediating between the needs of the research community and the scientific infrastructures that drive Open Science (such as the issue of long-term archiving and persistent identification of scientific outputs) are also part of my daily work.
Contact
noemi.betancort@suub.uni-bremen.de
Website: SuUB
Svenja Boekhoff
Medical Documentalist and Research Data Manager at Leibniz-Institute for Prevention Research and Epidemiology - BIPS
"I joined the DCC to connect with others and to improve my knowledge of the RDM."
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Expertise: General topics of research data management, Metadata.
As part of our data transfer point I am in charge of the FAIRification of our metadata. That’s why I am particularly interested in the management and organization of metadata..
Contact
boekhoff@leibniz-bips.de
Website: BIPS
Claudia Brünings-Kuppe
Medical Documentalist at Leibniz-Institute for Prevention Research and Epidemiology - BIPS
"I think it makes sense to network in order to be informed about current developments and to learn from each other."
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Expertise: General topics of research data management, Data acquisition process, Metadata.
I am responsible for research data management in various studies at BIPS. I am also part of the data transfer point, which is the central point of contact for researchers who want to use BIPS research data.
Contact
bruening@leibniz-bips.de
Website: BIPS
Luis Carlos Castillo-Tellez
PhD Candidate in Economics at the University of Bremen
"I want to join the Data Community Club to exchange knowledge and learn from experts in data management and analysis. Collaboration with interdisciplinary fields excites me as I believe it enriches methodologies and outcomes."
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Expertise: Data analyses methods, Artificial intelligence methods.
I am a Ph.D. candidate pursuing a binational doctorate with the University of Urbino in Italy and the University of Bremen. My research focuses on the digital divide in enterprises. My research involves analysing enterprise-level data using advanced quantitative techniques such as factor analysis and econometric modelling. I am interested in research data management, particularly in collecting, processing, and analysing economic and social data to understand patterns and trends. I also explore digital technologies' implications, their diffusion, and adoption among enterprises, combining theory and empirical analysis. My interest in artificial intelligence and machine learning applications for research complements my work in understanding how data can address societal and economic challenges.
Contact
luiscarl@uni-bremen.de
Dr. Frank Dannemann
Department Head Avionics Systems at the German Aerospace Center
"The exchange across research centers, institutes and disciplines in the Data Community Club helps us to become better together - and to strengthen Bremen as a research location at the same time."
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Expertise: General topics of research data management, Data acquisition process, Storage and stewardship of research data, Data management plan, Metadata, Ontologies, Data protection, Data security and cryptography, Data integration, Data analyses methods, Artificial intelligence methods, Hardware and system architecture for data science, Ethical, legal and socials aspects (ELSA) of managing and analyzing research data.
In space research, it is our job to develop new technologies and processes and to test them in missions. A well-established research data management system helps us to put our research into practice more quickly, learn from our mistakes and make our results available to the space community and the public in a well-prepared form.
Contact
frank.dannemann@dlr.de
Website: DLR
Dr. Jan-Ocko Heuer
RDM coordinator at Hochschule Bremen
"The state of Bremen has a strong and diverse RDM and Data Science landscape. The DCC gives me the opportunity to exchange ideas about those fields with many great colleagues in research and RDM and to learn from them."
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Expertise: General topics of research data management, Data acquisition process, Storage and stewardship of research data, Data management plan, Metadata, Data protection, Management of qualitative data, Management of high amounts of data, Data integration, Artificial intelligence methods, Hardware and system architecture for data science, Ethical, legal and socials aspects (ELSA) of managing and analyzing research data.
From previous research and RDM activities within the social sciences (not least at the University of Bremen at the SOCIUM and RDC Qualiservice & KonsortSWD), I continue to have a great interest in the RDM topics discussed there (e.g., ethical, legal and social aspects of RDM). Since I am currently expanding the FDM at “Hochschule Bremen – University of Applied Sciences” together with my colleagues, I am also interested in innovative ideas and approaches to developing an institutional RDM portfolio under the specific research and RDM conditions at HAWen (Universities of Applied Sciences), for example through cooperatively developed and decentrally distributed RDM offerings. And in general, I am very interested in how RDM “works” at various scientific institutions and am happy about a field of work that is as broad as research itself.
Contact
jan-ocko.heuer@hs-bremen.de
Dr. Sonja Hänzelmann
Head of Data Science, Alfred Wegener Institute, Helmholtz Center for Polar und Marine Research
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Expertise: Data Science, Machine Learning, Artificial Intelligence, Bioinformatics, Geo Data Sciene.
Dr. Sonja Hänzelmann is as Head of Data Scienceat the Alfred Wegener Institute (AWI). Her focus lies on data analysis in various scientific disciplines, especially in bioinformatics, machine learning and data science. Her research group emphasizes interdisciplinary approaches and works closely with geologists, biologists and other data scientists to develop innovative solutions to complex problems. Her strong interest in the further development of analytical methods is reflected in these collaborations.
In addition, her group supports scientists in data management, especially in the automated acquisition and storage of data within the O2A framework. Furthermore, the department offers courses to train interested parties in the fields of bioinformatics, machine learning and data science.
Dr. Sonja Hänzelmann is known for Gene Set Variation Analysis GSVA a method for unsupervised analysis of gene expression data that allows to assess the activity of gene sets in individual samples.
In recent years, she has worked on various projects dealing with complex diseases such as glioblastoma and amyotrophic lateral sclerosis (ALS). Her research involved analyzing patient data using machine learning to develop new therapeutic approaches (publication). One significant project was the development of a “genetic fingerprint” for glioblastoma, which helped to better predict the course of the disease and enable targeted treatments.
Another research project focused on the investigation of molecular differences between genders and the repurposing of a cancer drug for ALS (publication).
In her work, she used advanced data analysis methods to process large data sets and identify patterns that were crucial for the development of new therapeutic strategies.
Contact
sonja.haenzelmann@awi.de
Website: ORCID, LinkdIn, Google Scholar
Sanjeev Kumar
Scientific Staff at the University of Bremen
"The club offers a collaborative platform to deepen my expertise in AI, data analysis, and machine learning, which are crucial for advancing my research. Additionally, engaging with a community of like-minded individuals will provide opportunities to share insights, learn from diverse projects, and stay updated on cutting-edge developments in data-driven technologies."
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Expertise: General topics of research data management, Data acquisition process, Storage and stewardship of research data, Data management plan, Data protection, Data security and cryptography, Management of high amounts of data, Data integration, Data analyses methods, Artificial intelligence methods, Artificial intelligence methods, High(est) performance computing, Hardware and system architecture for data science, Ethical, legal and socials aspects (ELSA) of managing and analyzing research data.
Damage Detection in Composite Materials, Specifically Fibre Metal
Laminates, Using Artificial Intelligence.
Contact
sanjeev@uni-bremen.de
Jimena Linares, M.Sc
Data Management Officer and Data Steward at the University of Bremen
"Research Data Management involves community engagement and support. I am happy that such an initiative allows everyone interested in participating, contributing, learning, and disseminating best practices in the vast and very diverse world of management of research data."
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Expertise: General topics of research data management, Storage and stewardship of research data, Data management plan, Metadata, Ontologies.
Data have a tremendous potential, meaning the data we produce can provide diverse benefits and should be shared. However, we have to reconsider the way we interact with the data we produce so they are shared in an optimal way. I am interested in optimizing the relationship we have with data and exploring how to represent data so they are made FAIR to everyone.
Contact
jlinares@gfbio.org
Website: GFbio
Prof. Dr. Matthew Nielsen
Junior Professor at the University of Bremen
"I am interested networking with others whose interests complement mine (for example, who also work with photographic data or historic data)."
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Expertise: General topics of research data management, Management of physical objects (sample management), Data management plan, Nagoya protocol.
I work with diverse types of data related to insects and ecological change. This includes collecting data in both the lab and field through experiments and observation work. In my research, I work with a wide range of different phenotypic measurements, including behavior, morphology, and physiology.
I have particular expertise in working with photographic data and coloration, with an interest in developing computer vision methods for making automated measurements from photographs. Another area of expertise is working with temperature in a biological and ecological context.
I am especially interested in working with historical data. I have replicated ecological experiments from 30-50 years ago to investigate how climate change as altered their results, and this has lead me to appreciate both the importance of and challenges to long-term storage of methods and data. I am also similarly interested in the use of natural history collections for ecological research.
Contact
nielsenm@uni-bremen.de
Website: University of Bremen
Birgit Reineke
Medical Documentalist of the Department of Social Epidemiology of the Institute for Public Health and Nursing Research
"I would like to know the current state of knowledge on the subject of research data management."
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Expertise: General topics of research data management, Storage and stewardship of research data, Data management plan, Metadata, Data protection.
DMP creation, preparation of personal data so that subsequent use is possible, repositories for these data, search strategies for available international data sets.
Contact
reineke@uni-bremen.de
Dr. Achim Reineke
Head of unit Research Data Management at Leibniz-Institute for Prevention Research and Epidemiology - BIPS
"I would like to be kept informed about current developments in research data management and to learn from each other."
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Expertise: General topics of research data management, Data acquisition process, Storage and stewardship of research data, Metadata, Data protection.
Contact
areineke@leibniz-bips.de
Website: BIPS
Dr. Lars Robben
Teamleader „porous materials“, Head of XRD / SEM lab, radiation protection officer, data steward of the research group Gesing
"I have been active in the Data Steward Network for several years now, and it is particularly exciting to find out what solutions are being found in other disciplines for specific RDM problems. I find the exchange of experiences, especially between the social and the natural sciences, particularly important and interesting."
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Expertise: General topics of research data management, Electronic Lab Notebooks (ELN), Data acquisition process, Storage and stewardship of research data, Data management plan, Metadata, Ontologies, Knowledge graphs, Management of high amounts of data, Data analyses methods, Artificial intelligence methods, High(est) performance computing.
The tasks of a ‘data steward’ in the Gesing working group include the maintenance of the electronic laboratory notebook, the creation and implementation of data management plans and the installation and maintenance of automated backup and data distribution solutions from measuring station computers to central storage and workstation computers. The area of data science applications includes work on automated data evaluation of e.g. X-ray diffraction data in temperature-dependent experiments (autocorrelation method) or the evaluation of data quality for in-house total-scattering diffraction experiments. I teach the basic principles of research data management and digital measurement data acquisition and processing in the lecture ‘Introduction to Data Analysis’ (2 SWS plus 2 SWS exercise) in the degree programme ‘Master Materials Chemistry and Mineralogy’ (FB05).
Contact
lrobben@uni-bremen.de
Website: University of Bremen, ORCID
Johanna Rockstroh
PhD Candidate in the Digital Media Lab at the University of Bremen
"I am curious to learn and collaborate across disciplines, particularly where data, language technologies like LLMs, and knowledge representation intersect."
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Expertise: General topics of research data management, Metadata, Ontologies, Knowledge graphs, Data Integration, Data analyses methods, Artificial intelligence methods, High(est) performance computing, Hardware and system architecture for data science, Ethical, legal and socials aspects (ELSA) of managing and analyzing research data.
Johanna Rockstroh researches the processing and production of figurative language and language variation through artificial intelligence.
Contact
rockstro@uni-bremen.de
Website: University of Bremen
Dr. Wilken Seemann
Instrument Manager @ MAPEX Core Facility for Materials Analytics
"Managing their data is important for all researches, exchanging ideas and concepts is beneficial for everyone."
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Expertise: General topics of research data management, Electronic Lab Notebooks (ELN), Data acquisition process.
Recording instrument usage for reporting and accounting, supporting the (meta-)data acquisition process, administrating eLabFTW in the MAPEX Core Facility.
Contact
mapexcf@uni-bremen.de
Website: University of Bremen
Indra Smith, M.A.
Project staff member at the University of Applied Sciences Bremen
"Through the DCC, I have the opportunity to collaborate with many skilled colleagues in these fields, sharing best practices and insights. This environment also allows me to enhance training programs and foster cooperation to promote excellence in RDM across various research initiatives."
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Expertise: General topics of research data management, Data acquisition process, Storage and stewardship of research data, Data management plan, Metadata, Data protection, Management of qualitative data, Management of high amounts of data, Ethical, legal and socials aspects (ELSA) of managing and analyzing research data.
I support researchers at the University of Applied Sciences Bremen in the field of research data management (RDM) through personalized consulting and practical training. My goal is to provide sustainable solutions for the entire data lifecycle and raise awareness among researchers about the challenges and requirements of RDM.
In the FDM@HSB project, I am responsible for the areas of "Consulting and Services" as well as "Information and Capacity Building." In my previous role as a research associate, I focused on "Open Governance" and "Open Data." These experiences provided valuable insights into the challenges researchers face and the support they need in this field.
Contact
indra.smith@hs-bremen.de
Website: Indra Smith - HSB Hochschule Bremen
Finn Welzmüller, MSc.
Scientific Staff at the DLR Institute for Space Systems for the CubeSat mission PLUTO with the focus on Research Data Management and activities during the assembly, integration and verification phase
"I appreciate the great interdisciplinary networking opportunities of the Data Community Club. Discussing my own research questions with researchers from other fields often bare unseen advantages."
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Expertise: General topics of research data management, Data acquisition process, Storage and stewardship of research data, Data management plan, Metadata, Hardware and system architecture for data science.
My main interest are software tools for Research Data Management, especially dedicated to long-term archiving, organization and visualization. I am furthermore working on a standardized metadata catalogue that can be applied for any space mission to ease cooperation between institutes and to improve efficiency. From the engineering side, I am interested in automating processes with respect to Research Data Management, such as automated data processing and synchronization into an RDM ecosystem.
Contact
finn.welzmueller@dlr.de
Dr. Patrick Zerrer
Research assistant at the Center for Media, Communication and Information Research
"I am interested in interdisciplinary exchange on data collection, processing and analysis."
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Expertise: Data acquisition process, Data analyses methods, Artificial intelligence methods.
Patrick Zerrer has been working as a research assistant at the Center for Media, Communication and Information Research since April 2020. In the laboratory for digital communication and information diversity under the direction of Prof. Dr. Cornelius Puschmann, he is dedicated to the systematic investigation of digital media use using quantitative and automated methods. These include web scraping, app and web tracking and screen recording.
Contact
pzerrer@uni-bremen.de
Website: University of Bremen, Patrick Zerrer
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Prof. Dr.-Ing. Uta Bohnebeck
Speaker for the Research Cluster "Digital Transformation" at the University of Applied Sciences Bremen
Professor of Applied Computer Science/Data Science at the University of Applied Sciences Bremen.
More information:
https://www.hs-bremen.de/person/ubohnebeck/
Prof. Dr. Rolf Drechsler
Spokesperson of the Data Science Center at the University of Bremen
Professor of Computer Architecture at the University of Bremen and Director at the German Research Center for Artificial Intelligence (DFKI)
More information:
http://www.informatik.uni-bremen.de/agra/drechsler/
Prof. Dr. Frank Oliver Glöckner
Spokesperson NFDI4Biodiversity
Professor of Earth System Data Science at the University of Bremen, Head of the Data Division at the Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research, Director of PANGAEA the Information System for Earth and Environmental Sciences
More information:
https://www.awi.de/ueber-uns/organisation/mitarbeiter/detailseite/frank-oliver-gloeckner.html
Prof. Dr. Iris Pigeot
Co-Spokesperson NFDI4Health
Institute Director at the Leibniz Institute for Prevention Research and Epidemiology - BIPS, Professor of Statistics with a focus on Biometry and Methods of Epidemiology at the University of Bremen
More information:
https://www.bips-institut.de/das-institut/abteilungen/biometrie-und-edv.html
Tanja Hörner
Coordinator DataNord and Research Data Management and Data Science
c/o Universität Bremen
UNICOM – Haus Oxford
Mary-Somerville-Straße 2
28359 Bremen
tanja.hoerner@vw.uni-bremen.de
Phone: +49 421 218 60044
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Dr. Lena Steinmann
Coordinator of the Data Science Center
c/o Universität Bremen
Mehrzweckhochhaus (MZH)
Bibliothekstr. 5
28359 Bremen
lena.steinmann@uni-bremen.de
Phone: +49 421 218 63941
Cooperating in U Bremen Research Alliance:
