Programme
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09:00 – 18:00
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Barcamp Open Science
The Barcamp will be held at Wikimedia (Tempelhofer Ufer 23-24, 10963 Berlin). For more information please visit the Barcamp site. |
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09:15 – 10:00
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Registration & Coffee | |
| 10:00 – 11:30 |
Opening
Dr Georg Schütte, State Secretary at the Federal Ministry of Education and Research (BMBF), Germany
Dr Jean-Claude Burgelman, Head of Unit A6, DG Research and Innovation, European Commission [Presentation] Professor Klaus Tochtermann, ZBW – Leibniz Information Centre for Economics, Germany GO FAIR helps Open Science go far
Professor Karel Luyben, National Coordinator for Open Science, Netherlands
AbstractThe promises of Open Science for research, society and innovation can only be materialized effectively in a global movement to make data FAIR. FAIR for computers and for people. Along Europe’s ambitions of the European Open Science Cloud we will need a global implementation approach following the FAIR principles. Only if data become globally Findable and Accessible and Interoperable we make them effectively Reusable for science and innovation, even if not all information can be publicly disclosed, such as for personal data and data in industry. With support of the Governments of Germany, France and the Netherlands, the Global Open FAIR (GO FAIR) initiative has been launched to promote GO FAIR implementation networks internationally, and across disciplines in science and innovation. By nature, the GO FAIR initiative is open for all countries and disciplinary networks to join, and it involves academia, industry, governments and research funders. The remit and mode of operation of this initiative will be presented, including initial steps towards the establishment of GO FAIR implementation networks. Open data, FAIR data & RDM: the ugly duckling
Sarah Jones, Associate Director Digital Curation Centre, University of Glasgow, UK
AbstractThis speech will review data policy developments over recent years, tracking the drivers for open and FAIR data. It will argue that effective data management is a necessary precursor, often overshadowed by the fashionable buzz words. The risks of terminology disengaging parts of the audience and leading to confusion and misconceptions will also be flagged. The speech will close by highlighting recent developments in the field of Research Data Management. Chair: Professor Klaus Tochtermann, ZBW – Leibniz Information Centre for Economics, Germany
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| 11:30 – 12:10 | Coffee break | |
| 12:10 – 13:30 |
Reflections on Open Science strategies at local, national and European level
Professor Wolfram Horstmann, Director Göttingen State and University Library, Germany
AbstractOpen Science has become paramount in policies and strategies of research organisations. Similar to “Open Access” 10 years ago, “Open Science” attracts value-related and ideological discussions such as reproducibility of research, transparency or even fake news. Different to “Open Access”, “Open Science” has many more diversified threads underlying the discussions: Research Data, e-Science, Open Innovation, Citizen Science, to name just a few. The presentation will attempt to locate focal areas in recent strategies at local, national and European level, including the Alliance of Science Organisations in Germany and the European Open Science Cloud. Mind the gap: Open Science in transit
Natalia Manola, Department of Informatics and Telecommunications, University of Athens & Athena Technology and Innovation Research Center, Greece
AbstractOpen Access and Open Science needs pragmatic, participatory infrastructures to make it work. The diverse research communities and cultural variety of Europe will accept no “one-size-fits-all” solutions. This variety and diversity is the foundation stone of OpenAIRE, a socio-technical network that supports, accelerates and monitors the implementation of Open Science policies in Europe and builds bridges around the world. This talk will highlight the transition process from open access to open science, what gaps we have identified in various layers of the research life cycle, how are these viewed around the world, and will focus on Research Data Management aspects, illustrating the ways OpenAIRE addresses them in terms of behaviors, practices, services and training. Chair: Peter Mutschke, GESIS – Leibniz Institute for the Social Sciences
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| 13:30 – 14:30 | Lunch | |
| 14:30 – 16:00 | Lightning-Talks Poster-Session
Proposals number 1-10 will be presented as lightening talks and as posters. The contributions number 11-19 will be presented as posters (without lightning talk). 1. RENGA, an open-source, highly scalable platform fostering cooperation in data science 2. Genomics For Everyone 3. FORSbase – Implementing the FAIR principles for social science data archives 4. FAIRization: What qualifies a search engine for distributed research data? 5. RDMO – Research Data Management Organiser 6. OpenAIRE: supporting the EC’s Open Data Pilot in H2020 7. 750 Volunteers Transcribing 31,000 Pages with 8.5 million Entries Online – an Evaluation 8. CESSDA’s Stepping Stones in Realising the FAIR principles 9. Preprints Servers as a Hub for Early Stage Research Outputs 10. How Research libraries can build on the EOSC to support scientific communities 11. Humanities data sharing: An exploration of conceptual approaches for data journals 12. The Connections between online post-publication peer review and retractions 13. Getting closer to the researcher’s desk – from acquisition and management to publishing scientific data 14. Researcher Identifiers, Metadata and Scholarly Communication in the Linked Data Environment: The Implication for University of Tennessee, Knoxville 15. FOSTER Plus – Fostering the practical implementation of Open Science in Horizon 2020 and beyond 16. The Open Archives of Knowledge-Data Experiment at University of Strasbourg 17. Open Science as-a-Service for research communities: preliminary results and use cases from the OpenAIRE-Connect project 18. Practice of Research Data Management: Findings from the IFLA LTR Project 19. A National Approach to Open Science and Research in Canada Chair: Dr Stephanie Linek, ZBW – Leibniz Information Centre for Economics, Germany
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| 16:00 – 16:30 | Coffee break | |
| 16:30 – 17:50 |
The Role of the Bundesbank Microdata Production in Times of Big Data: The need for Data access and Data Sharing
Stefan Bender, Deutsche Bundesbank, German Data Forum, Germany
AbstractIn 2009, the finance ministers and central bank governors of the G20 endorsed the first Data Gaps Initiative (DGI-1) to promote actions to close data gaps that had become visible during and after the global financial crisis in 2008. Data users and data compilers increasingly expressed the need to improve data sharing, particularly of granular (micro) data. Consequently, the second phase of this initiative (DGI-2) contains a new recommendation (II.20) aiming to promote the exchange of (granular, micro) data as well as metadata. The Deutsche Bundesbank – as other central banks – collects monetary, financial and external sector statistical data, comprehensive sets of indicators and seasonally adjusted business statistics. So, the Bundesbank is one of the largest data producers in Germany and its data are of high quality. This applies also to its micro data – quality-tested administrative data covering the fields of banks, securities, enterprises and household finance.To meet the demand of data users and data compilers for (granular) data sharing and to facilitate the implementation of Recommendation II.20 of DGI-2, the Bundesbank provides free of charge access for external researchers to its microdata for research purposes. Due to legal requirements, and in order to meet data protection requirements, microdata can be made available only under certain restrictions. Therefore the Bundesbank has established its Research Data and Service Centre (RDSC) in order to provide researchers access to the Bundesbank’s microdata in the context of independent scientific research projects.RDSC staff members ensure that the microdata provided are documented in detail and archived. In addition, the RDSC conducts supplementary methodological and descriptive research based on the data sets created, and it collaborates with researchers within and outside the Bundesbank. Changing incentive structures to foster the actual sharing rate of open data
Dr Felix Schönbrodt, Ludwig-Maximilians-Universität München, Germany
AbstractMany research organizations and funders express their commitment to data sharing and other open research practices. Nonetheless, in practice there is only a low prevalence of open science practices in most disciplines. My talk focuses on reasons why researchers are refuse to being more open and how the current incentive system fosters bad science. I will present ideas for new scientific structures and performance evaluations (ranging from “realistic” to “utopian”) that promise to re-align researchers’ stated values (which predominantly endorse open science) with their actual behavior. These ideas for reform pertain to journals, grant applications, and hiring committees, and are already started to be implemented at several institutions. Chair: Professor Norbert Luttenberger, Department of Computer Science, Kiel University, Germany
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| Conference dinner | ||
| 09:00 – 09:30 | Registration & Coffee | |
| 09:30 – 11:30 |
Opening talk: Science in Openness
Professor Matthias Kleiner, President of the Leibniz Association, Germany
Chair: Professor Klaus Tochtermann, ZBW – Leibniz Information Centre for Economics, Germany
Making FAIR data a reality… and the challenges of interoperability and reusability
Dr Simon Hodson, Executive Director CODATA, France & Chair of the EC Expert Group on FAIR Data
AbstractBuilding on previous summaries of the attributes that make research data most usable by other scientists (for replication, reanalysis and reuse), the framework provided by the FAIR data principles has gained support from policy makers, funders and researchers and has helped progress towards the vision of Open Science. Combined with the principle that research data should be ‘as open as possible, as closed as necessary’, FAIR data has allowed important principles to be communicated in a more accessible and persuasive way. The European Open Science Cloud: moving from policy to practice
Dr Juan Bicarregui, Scientific Computing Department (SCD), Science and Technology Facilities Council, UK
AbstractThe last 5 years have seen a great many policy makers around the world articulate a clear and consistent vision of global open science as a driver for accelerating innovation and enabling a new paradigm of data-driven science. In Europe, this vision is being implemented through an ambitious programme of research and development under the heading of the European Open Science Cloud (EOSC). By federating existing scientific data infrastructures, the EOSC programme will deliver an Open Data Science Environment that will offer European researchers and science and technology professionals seamless services for storage, management, analysis and re-use of research data, that are today partitioned by geographic borders and scientific disciplines. Chair: Professor Marc Rittberger, German Institute for International Educational Research (DIPF), Germany
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| 11:30 – 12:00 | Coffee Break | |
| 12:00 – 13:20 |
Preparing for High-Luminosity LHC
Dr Robert Jones, Information Technology Department, CERN, Switzerland
AbstractThe Large Hadron Collider (LHC) is the world’s largest and most powerful particle accelerator. It first started up on 10 September 2008, and consists of a 27-kilometre ring of superconducting magnets with a number of accelerating structures to boost the energy of the particles along the way. On 4 July 2012, the ATLAS and CMS experiments announced they had each observed a new particle, the Higgs boson, which led to the Nobel prize in physics being awarded jointly to François Englert and Peter Higgs in 2013. The High-Luminosity Large Hadron Collider (HL-LHC) project aims to crank up the performance of the LHC in order to increase the potential for discoveries after 2025. The volume of data produced at the LHC presents significant data management, distribution and processing challenges which will become even more demanding for the HL-LHC. Translational failure in preclinical research; how open science can help
Emily Sena, PhD, Centre for Clinical Brain Sciences, University of Edinburgh, UK
AbstractLaboratory experiments of the life sciences are generally conducted with the aim of improving human health. The translation of findings observed in preclinical animal studies to humans in a clinical setting has proven difficult in many areas. Systematic scrutiny of preclinical studies has highlighted limitations in their design, conduct and reporting. Our failure to reproduce experimental findings and the discrepancies between the results of preclinical animal studies and human clinical trials are, in part, attributed to compromised internal and external validity of animal experiments, and the presence of publication bias. I will present empirical evidence of the presence and impact of these risks of bias in the biomedical literature. Chair: Professor Thomas Köhler, Institute for Vocational Education & Media Center, Technical University Dresden
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| 13:20 – 14:20 | Lunch | |
| 14:20 – 16:00 | Panel discussion: FAIR Data – just an nice idea or a new paradigm shift?
Moderation: Professor Klaus Tochtermann, ZBW – Leibniz Information Centre for Economics, Germany Closing |
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| 16:00 – 16:30 | Farewell Coffee | |
