Programme 2018

Speaker Profiles

Barcamp Open Science · 2018-03-12
09:00 – 18:00
Barcamp Open Science

The Barcamp will be held at Wikimedia (Tempelhofer Ufer 23-24, 10963 Berlin). For more information please visit the Barcamp site.

Conference Day 1 · 2018-03-13

 

09:15 – 10:00
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
Abstract

The 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
Abstract

This 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
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
Abstract

Open 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 
Abstract

Open 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
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
Rok Roskar, Eric Bouillet, Luc Henry, Olivier Verscheure
[Poster] [Lightning-Talk]

2. Genomics For Everyone
Christine Mannhalter, Elisabeth Simboeck
[Poster] [Lightning-Talk]

3. FORSbase – Implementing the FAIR principles for social science data archives
Stefan Buerli
[Poster] [Lightning-Talk]

4. FAIRization: What qualifies a search engine for distributed research data?
Timo Borst, Anastasia Kazakova, Atif Latif, Fidan Limani
[Poster] [Lightning-Talk]

5. RDMO – Research Data Management Organiser
Jochen Klar, Olaf Michaelis, Harry Enke, Janine Vierheller, Heike Neuroth, Kerstin Wedlich, Frank Tristram, Claudia Kramer, Jens Ludwig
[Poster] [Lightning-Talk]

6. OpenAIRE: supporting the EC’s Open Data Pilot in H2020
Sarah Jones1, Marjan Grootveld2, Elly Dijk, Ellen Leenarts, Ilaria Fava
[Poster] [Lightning-Talk]

7. 750 Volunteers Transcribing 31,000 Pages with 8.5 million Entries Online – an Evaluation
Jesper Zedlitz, Norbert Luttenberger
[Poster] [Lightning-Talk]

8. CESSDA’s Stepping Stones in Realising the FAIR principles
Ron Dekker
[Poster] [Lightning-Talk]

9. Preprints Servers as a Hub for Early Stage Research Outputs
Martyn Rittman
[Poster] [Lightning-Talk]

10. How Research libraries can build on the EOSC to support scientific communities
Ilaria Fava, Valentino Cavalli
[Poster] [Lightning-Talk]

11. Humanities data sharing: An exploration of conceptual approaches for data journals
Edit Gorogh, Birgit Schmidt
[Poster]

12. The Connections between online post-publication peer review and retractions
Hadas Shema, Isabella Peters
[Poster]

13. Getting closer to the researcher’s desk – from acquisition and management to publishing scientific data
Stephan Mäs, Daniel Henzen, Lars Bernard
[Poster]

14. Researcher Identifiers, Metadata and Scholarly Communication in the Linked Data Environment: The Implication for University of Tennessee, Knoxville
Anchalee Panigabutra-Roberts
[Poster]

15.  FOSTER Plus – Fostering the practical implementation of Open Science in Horizon 2020 and beyond
Helene Brinken, Joy Davidson, Birgit Schmidt
[Poster]

16. The Open Archives of Knowledge-Data Experiment at University of Strasbourg
Stéphanie Cheviron, Adeline Rege
[Poster]

17. Open Science as-a-Service for research communities: preliminary results and use cases from the OpenAIRE-Connect project
Pedro Príncipe, Paolo Manghi, Natalia Manola
[Poster]

18. Practice of Research Data Management: Findings from the IFLA LTR Project
Anna Maria Tammaro, Krystyna Matusiak, Vittore Casarosa, Frank Sposito
[Poster]

19. A National Approach to Open Science and Research in Canada
Portia Taylor, Mark Leggott
[Poster]

Chair: Dr Stephanie Linek, ZBW – Leibniz Information Centre for Economics, Germany
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
Abstract

In 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 
Abstract

Many 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
  Conference dinner

 

 
Conference Day 2 · 2018-03-14
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
Abstract

Building 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.
This talk will first explore how to implement the FAIR data principles and related and enabling practices, with reference to the work of the European Commission’s Expert Group on FAIR data which is developing a report and Action Plan on how to make FAIR data a reality. Second, the talk will consider the challenges of interoperability and reusability in relation to the aspirations of those interdisciplinary and transdisciplinary research areas that seek to address the most important global, environmental and societal challenges. Encouraging the development and growing maturity of vocabularies and standards required for interoperability and the integration of data from diverse disciplines will be a major challenge for 21st century research. An initiative of CODATA and the new International Science Council seeks to shed light on ongoing challenges of data availability and integration, taking research into infectious diseases, disaster risk and resilient cities as test cases.

 
The European Open Science Cloud: moving from policy to practice
Dr Juan Bicarregui, Scientific Computing Department (SCD), Science and Technology Facilities Council, UK
Abstract

The 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.
The EOSCpilot project is supporting the first phase in the development of the EOSC. It is exploring some of the scientific, technical and cultural challenges that need to be addressed in the deployment of the EOSC. However, EOSCpilot is just a beginning. Many more EOSC projects will follow and together these projects will deliver the EOSC as broad collection of services and technologies operating across a wide range of organisational, community and geographic boundaries. In this way the vision articulated in policy statements over the last 5 years will be operationalised over the next 5 years.

 
Chair: Professor Marc Rittberger, German Institute for International Educational Research (DIPF), Germany
11:30 – 12:00 Coffee Break
12:00 – 13:20
Preparing for High-Luminosity LHC
Dr Robert Jones, Information Technology Department, CERN, Switzerland 
Abstract

The 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.
This presentation will explore the data management needs of the HL-LHC and, building on the experience of 10 years of operation of the LHC, highlight the avenues being pursued by the physics community to ensure access on a global scale.

 
Translational failure in preclinical research; how open science can help 
Emily Sena, PhD, Centre for Clinical Brain Sciences, University of Edinburgh, UK
Abstract

Laboratory 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.
Many research improvement activities are underway to address limitations in experimental design, publication models and career incentives and address obstacles to transparency and poor reporting to improve the utility of preclinical research and reduce waste. I will describe these approaches and findings from two studies that have tested the effectiveness of two approaches to research improvement. If preclinical studies are used to inform future research decisions in the life sciences their design, conduct and reporting must be rigorous, transparent, reproducible and their results disseminated in an unbiased and timely manner. Open science is a pivotal facet to achieving this. Improving our approach to preclinical practice may improve translation from bench to bedside.

 [Presentation]    
 
Chair: Professor Thomas Köhler, Institute for Vocational Education & Media Center, Technical University Dresden
13:20 – 14:20 Lunch
14:20 – 16:00 Panel discussion: FAIR Data – just an nice idea or a new paradigm shift?

  • Dr Jean-Claude Burgelman, Head of Unit A6, DG Research and Innovation, European Commission
  • Dr Mercé Crosas, Chief Data Science and Technology Officer, Harvard University, USA
  • Natalia Manola, Department of Informatics and Telecommunications, University of Athens & Athena Technology and Innovation Research Center, Greece 
  • Dr Hans Pfeiffenberger, Alfred Wegener Institute, Germany

Moderation: Professor Klaus Tochtermann, ZBW – Leibniz Information Centre for Economics, Germany


Closing
Professor Klaus Tochtermann, ZBW – Leibniz Information Centre for Economics, Germany

16:00 – 16:30 Farewell Coffee