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• Mario Brandenburg (Parlamentarischer Staatssekretär bei der Bundesministerin für Bildung und Forschung)
• Kerstin Schill (DFG-Vizepräsidentin)
• Ute Gunsenheimer (Secretary General, EOSC)
• Kora Kristof (Vizepräsidentin Digitalisierung und Nachhaltigkeit, KIT)
• Carole Goble (CoRDI Programme Chair, Univ. of Manchester & ELIXIR-UK), York Sure-Vetter (CoRDI General Chair, NFDI-Direktor & KIT)
Implicit in investments in research data infrastructure is the assumption that data are valuable entities worth preserving, stewarding, sharing, and reusing. This value proposition also implies that research data are useful to others and that others will reuse those data. However, neither outcome is assured. Data practices are local, varying from field to field, individual to individual, and country to country. As the number and variety of research partners expands, so do the difficulties of sharing, reusing, and sustaining access to data. Efforts to develop global research infrastructures are hindered by communities’ lack of agreement on data management practices –or on what constitutes ‘research data.’ This talk argues for a broader focus on knowledge infrastructures, which are robust networks of people, artifacts, and institutions for producing, exchanging, and sustaining knowledge. Technical aspects of infrastructure, from persistent identifiers to compute capacity and storage, are easier to address than are social aspects, such as data stewardship, trust, governance, economics, infrastructure, standards, and science policy. Infrastructures can connect communities when they support local practices, and disconnect communities when they create incompatible silos. Examples are drawn from several decades of empirical research with research communities in environmental sciences, sensor networks, astronomy, biomedicine, social sciences, and digital humanities.
Christine L. Borgman is Distinguished Research Professor in Information Studies at the University of California, Los Angeles. She is recognized internationally for her research in information and computer science, data science, communication, digital humanities, privacy, and law. Her current research focuses on knowledge infrastructures, scientific data practices, and open science. Among her publications are three award-winning monographs from MIT Press: Big Data, Little Data, No Data: Scholarship in the Networked World (2015); Scholarship in the Digital Age: Information, Infrastructure, and the Internet (2007); and From Gutenberg to the Global Information Infrastructure: Access to Information in the Networked World (2000). She has held visiting scholar posts at Oxford, Harvard, Lund, Budapest Economic Sciences, Eotvos Lorand, and Loughborough universities, and DANS (Netherlands). Professor Borgman is a Fellow of the American Association for the Advancement of Science and of the Association for Computing Machinery.
This is a continuous event. Participation in the parts before and after the break is optimal. The event will be held in German.
• P. Kamocki; E. Hinrichs; S. Springer; P. Leinen; A. Witt; D. Zechmann
Open Science and Language Data: Expectations vs. Reality: The Role of Research Data Infrastructures
• F. Thiery; A. Mees; B. Weisser; F. Schäfer; S. Baars; S. Nolte; H. Senst; P. von Rummel
Object-related Research Data Workflows within NFDI4Objects and beyond
• M. Fichtner; R. Nasarek; T. Wiesing
WissKI: A Virtual Research Environment based on Drupal
• S. Lieber; A. Van Camp; D. De Witte; E. Coudyzer; E. Buelinckx; E. Angenon; H. Lowagie; J. Birkholz; K. Lasaracina
MetaBelgica Project: A Linked Data Infrastructure Between Federal Scientific Institutes in Belgium
• J. Fluck; M. Golebiewski; J. Darms
Data publication for personalised health data: A new publication standard introduced by NFDI4Health
• I. Pigeot; J. Fluck; J. Darms; C. Schmidt
The NFDI4Health – Task Force COVID-19
• B. Ebert; J. Engel; I. Kostadinov; A. Güntsch; F. Glöckner
Connecting National and International Data Infrastructures in Biodiversity Research
• C. Goble; F. Bacall; S. Soiland-Reyes; S. Owen; I. Eguinoa; B. Droesbeke; H. Ménager; L. Rodriguez-Navas; J. Fernández; B. Grüning; S. Leo; L. Pireddu; M. Crusoe; J. Gustafsson; S. Capella-Gutierrez; F. Coppens
The EOSC-Life Workflow Collaboratory for the Life Sciences
• O. Koepler; C. Steinbeck; F. Bach; S. Herres-Pawlis; N. Jung; J. Liermann; S. Neumann; M. Razum
Digitalizing the Chemical Landscape: A Comprehensive Overview and Progress Report of NFDI4Chem
• L. Amelung; A. Barty; B. Murphy; C. Schneide; A. Schneidewind; T. Schoerner
The DAPHNE4NFDI and PUNCH4NFDI Consortia in the NFDI
• H. Weber; S. Brockhauser; C. Koch; L. Rettig; M. Aeschlimann; W. Hetaba; M. Grundmann; M. Kühbach; M. Krieger
Research Data Management for Experiments in Solid-State Physics: Concepts
• J. Bode; P. Jaeger; S. Schneidewind
Integrating Data Literacy into University Curricula: Student Centred Learning in Undergraduate Physics Lab Courses
This is a continuous event. Participation in the parts before and after the break is optimal. The event will be held in German.
• R. Chacko; H. Goßler; J. Riedel; S. Schunk; O. Deutschmann
Digitalization in Catalysis and Reaction Engineering: Automatizing Work Flow
• P. Ost; Y. Shakeel; P. Tögel
Data Collections Explorer: An easy-to-use tool for sharing and discovering research data
• R. El-Athman; J. Rädler; O.Löhmann; A. Ariza; T. Muth
The BAM Data Store: Piloting an openBIS-Based Research Data Infrastructure in Materials Science
• O. Werth; S. Ferenz; A. Niesse; R. German; L. Huelk; C. Weinhardt; B. Vogel
Current Insights from Task Area 1 in NFDI4Energy: Building and Serving the Energy Research Community
• S. Schneider; L. Palm
Sociodemographic variables in surveys: increasing research potential through output harmonization
• S. Netscher; A. Meyermann; J. Künstler-Sment; L. Pegelow
Stamp – Standardized Data Management Plan for Educational Research: An Approach to Improve Cross-Disciplinary Harmonization of Research Data Management
• P. Siegers; A. May; C. Saalbach; J. Nebelin; D. Kern; A. Daniel; B. Zapilko; F. Momeni; K. Wenzig; J. Goebel
Linked Open Research Data for Social Science: A concept registry for granular data documentation
• T. Emery; K. Karpinska; A. Maineri; L. van der Meer
The Open Data Infrastructure for Social Science and Economic Innovations (ODISSEI): Better Infrastructure, Better Science, Better Society
• R. Danabalan; M. Hintermüller; T. Koprucki; K. Tabelow
MaRDI: Building Research Data Infrastructures for Mathematics and the Mathematical Science
• P. Veluvali; J. Heiland; P. Benner
MaRDIFlow: A Workflow Framework for Documentation and Integration of FAIR Computation
• O. Knodel; T. Gruber; J. Kelling; M. Lokamani; S. Müller; D. Pape; M. Voigt; G. Juckeland
Overarching Data Management Ecosystem at HZDR: From Small Experiments to Large-Scale Research Facilities
• T. Gruber; H.-P. Schlenvoigt; O. Knodel; K. Tippey; G. Juckeland
Two-Step Approach in Metadata Management for Data Publications at Research Centers
We would like to invite you to look behind the surface of the online world with us. Under the title “Behind the Click”, Dutch artist and researcher Julia Janssen will visually explore topics such as Artificial Intelligence, the bias of algorithms and data profiling.
About „Behind the Click“
Julia Janssen is an artist who researches the influence of digitalisation on our society. She makes the challenges we face with data, AI and technology tangible in interactive and performative installations. She covers topics like data profiling, bias in algorithms, informed consent and digital civic rights.
How do we deal with fairness, equality, autonomy, freedom and democracy in a data-driven society? In this talk, Janssen takes you on a journey behind the surface of the internet. A visual presentation on her research and ideas to discover what happens behind the click.
About Julia Janssen
Julia Janssen is an artist, designer, researcher and speaker. In her work she creates awareness about the impact of technology and digitization on society.
In 2016 she graduated from the ArtEZ School of the Arts in Graphic Design. With her graduation work, she won the Crypto Design Award.
Julia translates scientific insights into accessible design giving her audience a peek behind the internet’s surface. By making the complexity of information technology understandable, she builds a movement that strives for data sovereignty.
• L. Gadelha; J. Eufinger
The German Human Genome-Phenome Archive in an International Context: Toward a Federated Infrastructure for Managing and Analyzing Genomics and Health Data
• D. Müller; M. Umkehrer
International Data Access Network (IDAN) for sensitive microdata in Humanities & Social Sciences
• J. Bicarregui; S. Coles; B. Matthews; J. Frey; B. Montanari; V. Bunakov; N. Knight
Connecting Infrastructures: The Physical Sciences Data Infrastructure (PSDI) in the UK
• N. Weisweiler; R. Bertelmann; S. Genderjahn; H. Pampel
Connecting the Dots: The Helmholtz Research Data Ecosystem and its links to the NFDI
• M Politze; I. Lang
coscine.nrw Landesweite Basisversorgung zur Verwaltung von Forschungsdaten im Open Source Modell
• F. Meineke; M. Golebiewski; X. Hu; T. Kirsten; M. Löbe; S. Klammt; U. Sax; W. Müller
NFDI4Health Local Data Hubs for Finding and Accessing Health Data: Making Distributed Data Accessible through a SEEK-Based Platform
• N. Fatima; P.Alper; F. Bianchini; K. Bösl; U. Wittig; C. Goble; F. Coppens
RDMkit: The Research Data Management Toolkit for Life Sciences
• E. Borisova; R. Abu Ahmad; G. Rehm
Open Science Best Practices in Data Science and Artificial Intelligence
• B. Schembera; F. Wübbeling; T. Koprucki; C. Biedinger; M. Reidelbach; B. Schmidt; D. Göddeke; J. Fiedler
Building Ontologies and Knowledge Graphs for Mathematics and its Applications
• D. Iglezakis; D. Terzijska; S. Arndt; S. Leimer; J. Hickmann; M. Fuhrmans; G. Lanza
Modelling Scientific Processes with the m4i Ontology
• L. Castro; J. Fluck; D. Arend; M. Lange; D. Martini; S. Neumann; S. Schimmler; D. Rebholz-Schuhmann
Schema.org as a Lightweight Harmonization Approach for NFDI
• A. Behr; H. Borgelt; T. Petrenko; M. Dörr; N. Kockmann
Investigating the Landscape of Ontologies for Catalysis Research Data Management
• E. Apondo; A. Züger; A. Bruns; K. Mehlis; C. Schickhardt; E. Winkler
Establishing Adaptive Governance in NFDI Consortia
• A. Bruns; S. Parker; F. Molnár-Gábor; E. Winkler
Developing Consent Tools for the Research Community at the German Human Genome-Phenome Archive (GHGA)
• Yongli Mou; Feifei Li; Sven Weber; Sabith Haneef; Hans Meine; Liliana Caldeira; Mehrshad Jaberansary; Sascha Welten; Yeliz Yediel Ucer; Guido Prause; Stefan Decker; Oya Beyan; Toralf Kirsten
Distributed Privacy-Preserving Data Analysis in NFDI4Health with the Personal Health Train
• F. Boehm; U. Sax; O. Vettermann; P. Kamocki; V. Stoilova
„Hello ELSA, how are you?“
• P. Wittenburg; U. Schwardmann; C. Blanchi; C. Weiland
FDOs to enable Cross-Silo Work
• M. Politze; Y. Shakeel; S. Hunke; P. Ost; R. Aversa; B. Heinrichs; I. Lang
Long Term Interoperability of Distributed Research Data Infrastructures
• O. Brand; V. Broda; M. Cyra; M. Fingerhuth; R. Gerlach; L. Gertis; B. Jacob; R. Müller-Pfefferkorn; H. Neuroth; S. Rehwald; J. Straka; B. Weiner
The Federal State Initiatives for RDM as intermediaries in a dynamic landscape of RDM infrastructures and services
• D. Fuß; M.-C. Laible
Data Trustees – They Do Work! The Example of Research Data Centres
• C. Beilschmidt; D. Brandenstein; J. Drönner; N. Glombiewski; M. Mattig; B. Seeger
On the Design and Implementation of Easy Access to External Spatiotemporal Datasets in NFDI
• M. Dieckmann; S. Beyvers; J. Hochmuth; A. Rehm; F. Förster; A. Goesmann
The Aruna Object Storage: A distributed multi cloud object storage system for scientific data management
• R. Macneil; T. Russell
RSpace + iRODS: A scalable, flexible and versatile solution that facilitates data and metadata interoperability and is suitable for deployment in conjunction with a wide range of e-infrastructures and Research Commons
• T. Zastrow; N. Fabas
Research Data Publication at Large Scale
• U. Sax; C. Henke; C. Draeger; T. Bender; A. Kuntz; M. Golebiewski; H. Ulrich; M. Löbe
The Provenance Core Data Set: A Minimal Information Model for Data Provenance in Biomedical Research
• A. Wein; J. Reinkensmeier; A. Weidlich; J. Lilliestam; V. Hagenmeyer; M. Richter; S. Auer; A. Nieße; S. Lehnhoff
FAIR Data for Energy System Research: An Overview of NFDI4Energy Task Area 4
• G. Lanza; M. Koval; J.-L. Hippolyte; M. Iturrate-Garcia; O. Pellegrino; A.-S. Piette; F. Toro
Towards FAIR Research Data in Metrology
• M. Scheidgen; S. Brückner; S. Brockhauser; L. Ghiringhelli; F. Dietrich; A. Mansour; M. Albrecht; H. Weber; S. Botti; M. Aeschlimann; C. Draxl
FAIR research data with NOMAD: FAIRmat’s distributed, schema-based research-data infrastructure to harmonize RDM in materials science
„Die mit den Daten tanzen!“ Über die Zukunft des Datenökosystems
- Research: Kora Kristof (Vizepräsidentin Digitalisierung und Nachhaltigkeit, KIT)
- Public Sector: Hanna Brenzel (Leiterin Referat „Methoden der Datenanalyse“, Statistisches Bundesamt)
- Industry: Paul Heinz (Head of R&D Digital Processes, Covestro)
- Politics: Marion Steinberger (Leiterin Referat 421 Forschungsdaten, NFDI, Bundesministerium für Bildung und Forschung)
- Moderation: Carmen Hentschel
The activities required to achieve „FAIRness“ span a wide range of very distinct expert domains, including library sciences, data and knowledge representation, semantics, Web communication, software development, standards and protocols, licensing, ethics/privacy/consent, and agent-based negotiation. In this presentation, Mark D Wilkinson will try to appeal to the various communities in the CoRDI audience by telling a series of stories that focus on different pieces of the larger FAIR puzzle. These will include some thoughts – and second-thoughts! – about the Principles themselves, as well as observations of the benefits of FAIR in-practice. Conversely, he will also provide examples of FAIRness challenges which continue to evade robust solutions despite the best efforts of FAIR practitioners, and drill-down into the technologies and/or behaviors that are creating these barriers.
Mark D Wilkinson has a B.Sc.(Hons) in Genetics from the University of Alberta, and a Ph.D. in Botany from the University of British Columbia. He spent four years at the Max Planck Institut für Züchtungsforschung in Köln, Germany, pursuing studies in a mix of plant molecular and developmental biology and bioinformatics. He then did a research associateship at the Plant Biotechnology Institute of the National Research Council Canada, focusing on the problem of biological data representation and integration for the purposes of automated data mining. In the subsequent 20+ years, his laboratory has focused on designing biomedical data/tool representation, discovery, and automated reuse infrastructures – what are now called „FAIR Data“ infrastructures. He is the lead author of the primary FAIR Data Principles paper, and lead author on the first paper describing a complete implementation of those principles over legacy data. He is a founding member of the FAIR Metrics working group, tasked with defining the precise, measurable behaviors that FAIR resources should exhibit, and the author of the first software application capable of a fully-automated and objective evaluation of “FAIRness”. He is co-Chair of the EOSC Task Force on FAIR Metrics and Data Quality, and is founder of a spin-off company, FAIR Data Systems S.L., that provides consulting, training, and customized software solutions that help clients become FAIR.
• L. Kulla; J. Bröder; C. Curdt; M. Kubin; H. Kollai; C. Lemster; M. Nolden; K.Schmieder; A. Strupp; K.-U. Stucky; E. Söding; K. Pascal Walter; A. Witold
The HMC Information Portal for enhanced metadata collaboration in the Helmholtz FAIR data space
• F. Henninger
Born-fair data projects using cookiecutter templates
• S. Schimmler; R. Altenhöner; L. Bernard; J. Fluck; A. Klinger; S. Lorenz; B. Mathiak; B. Miller; R. Ritz; T. Schörner-Sadenius; A. Sczyrba; R. Stein
Base4NFDI – Basic Services for NFDI: Creating NFDI-wide basic services in a world of specific domains
• M. Diepenbroek; I. Kostadinov; B. Seeger; F. Glöckner; M. Dieckmann; A. Goesmann; B. Ebert; S. Schimmler; Y. Sure-Vetter
Towards a Research Data Commons in the German National Research Data Infrastructure NFDI: Vision, Governance, Architecture
• S. Hagemann-Wilholt; A. Schrader; A. Czerniak
Isn’t a number and a URL enough? Why PIDs matter and technical solutions alone are not sufficient.
• R. Baum; O. Koepler
Leveraging Terminology Services for FAIR Semantic Data Integration
• R. Huber; N. Karam; O. Koepler; P. Strömert
Finding a Common Ground for NFDI Terminologies: Proposing I-ADOPT as a NFDI Wide Semantic Layer
• M. Schröder; S. Genehr; R. Köhling; S. Schmidt; R. Schneider; S. Spors; G. Szepannek; D. Waltemath; F. Krüger
A survey on the current status of Research Data Management in Mecklenburg-Vorpommern: Preliminary results for a questionnaire study among researchers
• F. Alshawaf; R. Guescini; F. Kotschka; M. Bierwirth; M. Dreyer
Harmonized research information for classifying and linking research data
• L. Rossenova; M. Schubotz; R. Shigapov
The case for a common, reusable Knowledge Graph Infrastructure for NFDI
• S. Auer; M. Stocker; O. Karras; A. Oelen; J. D’Souza; A.-L. Lorenz
Organizing Scholarly Knowledge in the Open Research Knowledge Graph
• H. Sack; T. Schrade; O. Bruns; E. Posthumus; T. Tietz; E. Norouzi; J. Waitelonis; H. Fliegl; L. Söhn; J. Tolksdorf; J. Steller; A. Azócar Guzmán; S. Fathalla; A. Ihsan; V. Hofmann; S. Sandfeld; F. Fritzen; A. Laadhar; S. Schimmler; P. Mutschke
Knowledge Graph based RDM Solutions: NFDI4Culture – NFDI-MatWerk – NFDI4DataScience
• S. Leimer; S. Hendriks; L. Korte; J. Stegemann; S. Stock; H. Timm; S. Rehwald
Research Data Management Curriculum of the Research Data Services at the University Library Duisburg-Essen
• M. Richter; J. Putzke; T. Schimmer; A. Mehler-Bicher
We are still here, too! Research Data Management at Universities of Applied Sciences: Approaches from the Project „FDM@HAW.rlp“ in the German State Rhineland-Palatinate
• A. Erxleben-Eggenhofer; B. Batut
FAIR and scalable education: The Galaxy training network (GTN) and a Training Infrastructure as a Service (TIaaS)
• B. Slowig; M. Blümm; K. Förstner; B. Lindstädt; R. Müller; M. Lanczek
Der Zertifikatskurs „Forschungsdatenmanagement“ als Blaupause für die FDM-bezogene Kompetenzentwicklung im Rahmen der NFDI
• S. Schaaf; A. Erxleben-Eggenhofer; B. Grüning
Galaxy and RDM: Being more than a workflow manager: living the data life cycle
• F. Bach; K. Soltau; S. Göller; C. Bonatto Minella; S. Hofmann
RADAR: building a FAIR and community tailored Research Data Repository
• Y. Minamiyama; M. Hayashi; I. Fujiwara; J. Onami; S. Yokoyama; Y. Komiyama; K. Yamaji
Toward the development of NII RDC application profile using ontology technology
• P. Dolcet; M. Schulte; F. Maurer; N. Jung; R. Chacko; O. Deutschmann; J.-D. Grunwaldt
LabIMotion Electronic Lab Notebook as Research Data Management tool in Catalysis
• M. Doerr; S. Maak; M. Menke; U. Bornscheuer
The RDM System LARA: – semantics through automation from bottom up
• O. Giraldo; D. Dessi; S. Dietze; D. Rebholz-Schuhmann; L. Castro
Machine-Actionable Metadata for Software and Software Management
• B. Heinrichs; M. Yazdi
Determining the Similarity of Research Data by Using an Interoperable Metadata Extraction Method
• M. Moser; J. Werheid; T. Hamann; A. Abdelrazeq; R. Schmitt
Which FAIR Are You? A Detailed Comparison of Existing FAIR Metrics in the Context of Research Data Management
• C. Speck; P. Jaquart; C. Weinhardt; J. Lilliestam; M. Schäfer; A. Weidlich; J. Zilles; N. Kerker
Transparency and Involvement of Society and Policy in a Data Sharing Platform
• R. Voshage; S. Sikder; S. Della Chiesa; T. Krüger; M. Schorcht; G. Meinel
Data, Tools and Services for spatial sustainability Science: The Story of the new IOER Research Data Centre
• M. Schäfer; R. Qussous; L. Hülk; J. Lilliestam; A. Weidlich
NFDI4Energy Case-Study: Comparative Analysis and Visualisation of Long-Term Energy System Scenarios
• A. Czech; V. Geenen; C. Breß; M. Turkovic Popovski; P. Krauß; T. Riedel; F. Gauterin
Designing a Mobility Data Trustee (MDT): Findings from a Multi-Disciplinary Analysis of Requirements of an MDT
• C. van Gelder; A. Cardona; B. Leskošek; P. Palagi
Building Research Data Management (RDM) expertise and training resources in ELIXIR Nodes
• J. Ortmeyer; F. Fink; A. Hoffmann; S. Herres-Pawlis
RDM in Chemistry: How to Educate and Train Future Researchers to Manage Their Data
• D. Waltemath; E. Inau; V. Satagopam; I. Balaur
Experiences from FAIRifying community data and FAIR infrastructure in biomedical research domains
• K. Behrens; K. Blask
RDM Compas: Building Competencies for the Professional Curation of Research Data