Research Data Working Group
Research Data Working Group
Since 2019, the Research Data Working Group has been headed by Prof. Dr. Iris Pigeot (director of the Leibniz Institute for Prevention Research and Epidemiology – BIPS; deputy chair U Bremen Research Alliance e.V.) and Prof. Dr. Frank Oliver Glöckner (Head of Data at the Computing Center of the Alfred Wegener Institute Helmholtz Center for Polar and Marine Research; director PANGAEA). The Research Data Working Group coordinates activities in research data management and data science. These are the current common objectives:
- Cross-linking of the Bremen NFDI plans and expansion of nationwide networks
- Development of doctoral training ‘Data Train’
- Creation of a coorperative research data management in the alliance. The initiation of (federally competitive) initiatives that put forth best practices is encouraged.
Member institutions of the alliance participate in a number of consortia of the German National Research Data Infrastructure (NFDI). Initiatives funded in the first phase are:
- NFDI4BioDiversity (spokesperson: Prof. Dr. Frank Oliver Glöckner, UB MARUM/AWI)
- NFDI4Health (co-spokesperson: Prof. Dr. Iris Pigeot, BIPS)
- KonsortSWD (co-spokesperson: Prof. Dr. Betina Hollstein, UB SOCIUM)
- NFDI4Ing (Contact: Dr. Florian Cordes, DFKI)
Prof. Dr. Iris Pigeot
Deputy Chair of the U Bremen Research Alliance e.V.
Scientific director of theLeibniz Institute for Prevention Research and Epidemiology – BIPS and head of the Department of Biometry and Data Management
Professor for Statistics with a Focus on Biometry and Methods in Epidemiology at the University of Bremen
Professor Iris Pigeot has been the director of the today’s Leibniz Institute for Prevention Research and Epidemiology – BIPS since March 2004 and has been in charge of the Department of Biometry and Data Management of the institute since September 2001. Furthermore, she has been professor for Statistics with a Focus on Biometry and Methods in Epidemiology at the University of Bremen since 2001.
Since 2019, Iris Pigeot has been chairwoman of the U Bremen Research Alliance (UBRA) together with Bernd Scholz-Reiter (president of the University of Bremen). She initiated an interdisciplinary graduate education program on “Research data management and data science” in 2019 to serve the upcoming needs in this area. This education program is led by Iris Pigeot together with Frank Oliver Glöckner from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research. As Co-Spokesperson of the consortium to set up a National Research Data Infrastructure for Personal Health Data (NFDI4Health), she links the graduate education program to this German-wide initiative and ensures the implementation of uniform standards for personal health data.
Prof. Dr. Frank Oliver Glöckner
Professor for Earth System Data Science at University Bremen
Frank Oliver Glöckner is Professor for Earth System Data Science at the Department of Geosciences at the University of Bremen. He is head of Data at the Computing and Data Center of the Alfred Wegener Institute Bremerhaven and Adjunct Professor for Bioinformatics at the Jacobs University Bremen. He is head of the Data Publisher for Earth and Environmental Science PANGAEA at MARUM and speaker of the NFDI4BioDiversity consortium. His interdisciplinary team of geologists, biologists, engineers, and software developers located at the AWI and MARUM has a national and international proven track record in research data management, data logistics and data science. In U Bremen Research Alliance he is interested in a strong collaboration between all members to drive research data management and data science forward. He will contribute his network and experience to establish the city and state of Bremen as a center of excellence in these fields.
Noemi Betancort Cabrera
Systems librarian at the State and University Library Bremen (Digital Services Department) and metadata manager at the Research Data Centre Qualiservice
Noemi Betancort Cabrera is systems librarian and metadata manager at the State and University Bremen (SuUB Bremen) and at the Research Data Centre Qualiservice. Her experience with research data dates back to 2012 when she joined Qualiservice, where she learned (and continues learning) about the problems researchers face in managing, organising and publishing research data. In this respect, she learned that the support of researchers in the generation of (FAIR) data should not only be provided at the end of the research project or at the time of data publication, but throughout the entire data lifecycle.
In recent years, the topic of data science and research data management has become increasingly important in the library world. The library can play an important role in the U Bremen Research Alliance, as it is not only a scientific institution with a strong long-term character that can offer archiving security and continuous consulting support, but is also optimally positioned due to its expertise in interdisciplinary metadata management and scientific publication processes. Libraries are optimal intermediaries between the requirements of the research community and the scientific infrastructures that drive Open Science.
Prof. Dr. Thorsten Dickhaus
Professor for Mathematical Statistics at Faculty of Mathematics and Computer Sciences (FB 3) at the University of Bremen
Thorsten Dickhaus studied mathematics in Aachen and Düsseldorf, and he received his Dr. rer. nat. degree in mathematics and application areas from Heinrich-Heine-University Düsseldorf in 2008. Afterwards, we worked in Berlin, first as a PostDoc at the Berlin Institute of Technology, then as a junior professor at the Humboldt-University and finally as a scientific staff member at the Weierstrass Institute for Applied Analysis and Stochastics. Since March 2015, Thorsten Dickhaus is Full Professor and Head of the Working Group “Mathematical Statistics” at Faculty 3: Mathematics and Computer Science at the University of Bremen. Since 2018 he is the Vice Dean of Academics of the Faculty of Mathematics and Computer Science.
His research interests include the development of statistical methods and their applications, in particular to high-dimensional and complex structured data from the life sciences and from economics. I want to engage myself in the Research Data Working Group, because data science crucially relies on the interdisciplinary exchange of ideas and competences.
Prof. Dr. Rolf Drechsler
Professor for Computer Architecture, University of Bremen
Director of the Cyber-Physical Systems Group at the German Research Center for Artificial Intelligence (DFKI)
Dean of the Faculty of Mathematics and Computer Science (FB 3), University of Bremen
Spokesperson of the Data Science Centers at the University of Bremen (DSC@UB)
Rolf Drechsler (http://www.rolfdrechsler.de/) received the Diploma and Dr. phil. nat. degrees in computer science from the Johann Wolfgang Goethe University in Frankfurt am Main, Germany, in 1992 and 1995, respectively. He worked at the Institute of Computer Science, Albert-Ludwigs University, Freiburg im Breisgau, Germany, from 1995 to 2000, and at the Corporate Technology Department, Siemens AG, Munich, Germany, from 2000 to 2001.
Since October 2001, Rolf Drechsler is Full Professor and Head of the Group of Computer Architecture, Institute of Computer Science, at the University of Bremen, Germany. In 2011, he additionally became the Director of the Cyber-Physical Systems Group at the German Research Center for Artificial Intelligence (DFKI) in Bremen. His current research interests include the development and design of data structures and algorithms with a focus on circuit and system design. He is an IEEE Fellow.
From 2008 to 2013 he was the Vice Rector for Research and Young Academics at the University of Bremen. Since 2018 he is the Dean of the Faculty of Mathematics and Computer Science. He is one of the founders and currently the spokesperson of the Data Science Center at University of Bremen (DSC@UB).
Dr. Tanja Hörner
Coordinator Research Data Working Group
Coordinator, Data Train – Training in Research Data Management and Data Science
Tanja Hörner is the coordinator of the cross-discipline education program for doctoral candidates “Data Train – Training in Research Data Management and Data Science”. Data Train is a joint initiative of the U Bremen Research Alliance and the Federal State of Bremen. Data Train should strengthen skills in data literacy, research data management and data science in the alliance and thereby, enhance the quality of research data as well as reveal new career paths for doctoral candidates. Tanja Hörner further coordinates the Research Data Working Group and contributes to the coordination of the alliance’s Exchange Groups “Sample Management” and “Data Stewardship”.
In the Research Data Working Group as well a for Data Train conception she contributes a scientific perspective – with her background in marine polar research (with a focus on organic geochemistry) – and experiences as data and sample manager for international scientific drilling projects as both roles are essential and should be considered for the whole data life cycle.
Prof. Dr. Nils Moosdorf
Professor for Coastal Hydrogeology at Kiel University
Workgroup leader “Submarine Groundwater discharge” Leibniz Centre for Tropical Marine Research (ZMT), Bremen
Nils Moosdorf is Professor for Coastal Hydrogeology at the Institute for Geosciences at Kiel University. He leads the working group “Submarine Groundwater Discharge” at the Leibniz Centre for Tropical Marine Research (ZMT) in Bremen.
Nils is domain scientist with high interest in scientific data management and spearheaded the digital extension of ZMT (DigiZ). In the U Bremen Research Alliance he is interested in a collaborative approach towards open data to improve data availability and allow their scientific usage. He will contribute a strong domain user perspective paired with expertise in data publishing and represents the ZMT DigiZ in the working group.
Dr. Martin Scharpenberg
Academic Councilor at the Competence Center for Clinical Trials Bremen KKSB (University of Bremen)
Martin Scharpenberg received his doctorate in mathematics from the University of Bremen and is academic councilor at the KKSB and as such is responsible for parts of the courses in the MSc. Medical Biometry / Biostatistcs. As a project manager at the KKSB, he is also responsible for the planning and evaluation of clinical studies and oversees the statistical advisory services of the KKSB. He is a deputy member of the ethics committee of the state of Bremen.
Lena Steinmann is the scientific coordinator of the Data Science Center (DSC) at the University of Bremen. She manages the activities of the DSC including interdisciplinary collaborations, science communication, public relations, and the acquisition of third-party funding. Her goal is to advance data science in all disciplines and to promote cooperation between methodological experts and application-oriented researchers. From her previous work as marine geophysicist and principal investigator, she is well aware of the challenges that application-oriented scientist face when conducting data-intensive research. Therefore, she brings to the AG Research Data both a broad perspective on data science through her role as DSC coordinator as well as her experience as a data-driven domain scientist. As part of the AG, she is interested in exchanging ideas on data science and research data management and would like to contribute to the establishment of an open data culture in the alliance.
Dr.-Ing. Florian Cordes
Team Leader – Terrestrial Robotics (Production-SAR-eMobilty-Health) at German Research Center for Artificial Intelligence (DFKI) Robotics Innovation Center (RIC) Bremen
Project Leader – Space Robotics at DFKI RIC
Florian Cordes is leading the team Terrestrial Robotics at the German Research Center for Artificial Intelligence – Robotics Innovation Center (DFKI RIC) in Bremen. The team has the main theme “mobile manipulation” which is represented in the areas of industrial production and logistics, search and rescue, new mobility concepts and electro-mobility as well as health care and rehabilitation robotics. Furthermore, he led and is leading several projects in the area of space robotics with national and EU fundings. A major interest is field testing of robotic systems. These real-world deployments generate an abundance of field data that calls for proper management and data science. The NFDI-activities of DFKI RIC are assigned to the Terrestrial Robotics team. To coordinate the institute’s efforts with other institutes in Bremen, Florian is part of the U Bremen Resrach Alliance initiative.
Prof. Dr. Hans-Günther Döbereiner
Professor for Biological Physics at University Bremen (FB1)
Head of Membrane Physics Group at Institute for Biophysics
Hans-Günther Döbereiner graduated from the University of Erlangen-Nuremberg in the field of Theoretical Nuclear Physics in 1989. In 1995, he finished his Ph.D. in Biological Physics at Simon-Fraser University in Canada. After his habilitation in Physics at University of Potsdam in 1999 with his work at MPI of Colloids and Interfaces, he visited as a Heisenberg fellow the Curie Institute, Paris and the University of Copenhagen. Further, in 2003 he continued his work as Heisenberg fellow in the Department of Biological Sciences at Columbia University in New York City, where he lectured Biological Physics as Adjunct Assistant Professor during 2005 and 2006 in the Physics department. In 2006, he became professor at the Department for Physics and Electrical Engineering at the University of Bremen. His research group at the Institute of Biophysics is dedicated to basic principles of cellular motion and biological physics of Physarum polycephalum. In recent years this slime mold has become a model system for (basal) cognition. Since 2016 Hans-Günther Döbereiner has been organizing the ring lecture series Universal Properties of Decision-Making, which builds a bridge between the humanities and natural sciences. In 2020, he became spokesperson of the consortium National Research Data Infrastructure for Disciplinary and Transdisciplinary Physics and is a member of the DSC Bremen. He contributes to the Research Alliance with his vision of universal characteristics in hierarchical data structures from physics of emergent systems. His aim is to establish contextual links between statics and dynamics of networks and semantic content. His current projects embrace the propagation of phase boundaries in active matter, regulation of cellular motion, the role of synchronized network oscillations in learning processes, binary decision-making phase diagrams, as well as trade with public goods on dynamic networks.
Prof. Dr. Jutta Günther
Vice President of research, junior scientists and transfer
Professor of economics, particularly innovation economics and structural change
Jutta Günther studied economics and social science at the Universities of Oldenburg, Osnabrück and Albany/New York from 1994 to 1999. In 2002 she did her doctorate at the University of Osnabrück in the field of social science at the chair of economic theory. From 2002 to 2014 she worked at the Leibniz Institute for Economic Research Halle (IWH) as scientist. She held different leading positions there, for example as head of department for structural change from 2008 to 2013 or as member of the executive board from 2011 to 2013. She habilitated at the faculty for economic science of the Friedrich-Schiller-University of Jena in 2014. In April 2014 Jutta Günther took the professorship of economics, especially innovation and structural change at the University of Bremen. Her research priorities are innovation processes, structural change and economic aspects of system transformation. Since April 2020 she also serves as Vice President of Research at the University of Bremen.
Research in its many facets - whether basic or application-oriented, technical-scientific or social-humanistic - always benefits from the close connection and intensive exchange between different perspectives and approaches. Only in this way can synergies be identified and used to achieve top-level research and advance society. The close cooperation between university research and non-university research institutions enables the U Bremen Research Alliance to facilitate the optimal use of these potentials.
Prof. Dr. Betina Hollstein
Professor for Microsociology and Qualitative Methods at University Bremen
Head of QUALISERVICE, SOCIUM – Research Center on Inequality and Social Policy at University of Bremen
Head of Dept. Methods Research at SOCIUM – Research Center on Inequality and Social Policy at University of Bremen
Betina Hollstein is Professor for Microsociology and Qualitative Methods at University Bremen. She is head of QUALISERVICE, national data service center for social science qualitative research data, located at the SOCIUM – Research Center at University of Bremen.
She is member of the German Data Forum (RatSWD), advisory council to the federal government, and co-spokesperson of the Consortium for the Social, Behavioural, Educational, and Economic Sciences (KonsortSWD).
Within the U Bremen Research Alliance she is interested in fostering interdisciplinary bonds in research data management and data science across different methodological approaches and data types, with special emphasis on sensitive personal data and research ethics.
Dr.-Ing. Norbert Riefler
Scientific Computing and Research Data Management at Leibniz Institute for Material oriented Technology
Norbert Riefler is responsible within the Leibniz Institute for Material oriented Technology for soft- and hardware to simulate engineering problems in the context of Computer Aided Engineering (CAE) and for the introduction and development of research data management (RDM), what requires qualification of the scientists. In the context of the U Bremen Research Alliance, his main focus is about sharing experience about RDM as well as collaboration and networking concerning further improvements.
Prof. Dr. Dr. Norman Sieroka
Professor for Philosophy at University Bremen
Board Member of RETHINK (Rethinking Design with Artificial Intelligence) at ETH Zurich
Co-Director of the Turing Center Zurich
Norman Sieroka is Professor for Philosophy at the University of Bremen. He is a member of the Directory Board of the Turing Centre Zurich and of the Governance Board of ETH’s "Rethink" initiative (rethinking design with artificial intelligence). He studied philosophy, physics, and mathematics in Heidelberg and Cambridge. In fact, a special trait of his research group is that all members have backgrounds in more than one academic discipline. The group is interested in questions about "how science works" and what values are pursued in science. Here special attention is paid to the role played by data and by artificial intelligence within different disciplines (such as physics and pharmaceutical science) and different research contexts (such as theory development, hypothesis generation, and problem solving). Being born and raised near Bremen, Norman Sieroka is happy to be on board with UBRA and to make the region a haven for deliberate data science.
Research Assistant at German Aerospace Centre (DLR), Remote Sensing Technology Institute, Team SAR-Oceanography, Bremen
PhD-Student at Helmut Schmidt University, Hamburg
Björn Tings accomplished his Bachelor studies in Scientific Programming and his simultaneous qualification in Mathematical-technical Software Development in 2010 at RWTH Aachen University. In 2013 he received his Master degree in Artificial Intelligence at Maastricht University.
Since 2013 he is employed as research associate in the team of Synthetic Aperture Radar (SAR) oceanography at the Remote Sensing Technology Institute of German Aerospace Center (DLR) in Bremen, Germany. He is responsible for integrating the team’s research and development work into operational prototype software for robust and fast processing of SAR data.
His research comprises the automatic detection and classification of ship signatures on SAR imagery. As PhD student at Helmut Schmidt University, Hamburg he also elaborates on the automatic recognition of ship’s wake signatures of moving vessels.
He will provide his experience in the field of Artifical Intelligence to the Research Data Working Group of the U Bremen Research Alliance.