Session 2: Transitioning from Open Strategy to Open Practice
Wednesday 26th June 2019 – 14.45-16.15
Chair: Wilhelm Widmark, Stockholm University Library, Stockholm, Sweden
Wednesday 26th June 2019 – 14.45-16.15
2.1 Open Scholarship in Practice: Presentation of a Set of Use Cases Collected on Behalf of Knowledge Exchange
Gwen Franck, Gwen Franck GCV, Belgium
On behalf of Knowledge Exchange, the author has collected use cases based on interviews conducted with a large variety of stakeholders.With this report, the author hopes to give an overview of the dynamics in the field of open scholarship services and hopes to inspire researchers, entrepreneurs and other parties to make the move towards open science – by improving general understanding of the economical mechanics that are at play in the business of open scholarship.
Interviewees are part of organisations, businesses or institutions offering or working with one or more open scholarship related services and tools. In a candid manner, the interviewees discuss topics such as their business model(s), sustainability and scalability (if applicable), the influence of open science policy making on their activities, their ideas on the role of (non)commercial entities in the field of open access publishing, licensing choices, and their views on the future of the services they offer and about open scholarship in general.
Especially relevant for the LIBER conference is how the majority of interviewees talks about their interaction with research libraries and how these relations can spur or, in some cases, deter innovation in the field of Open Scholarship.
Interviewees include CEO’s and directors of leading open science service providers such as Mark Hahnel from Figshare, Sarah Jones from DCC, Heather Piwowar from Impactstory, Tim Smith from CERN/Zenodo, Martin Paul Eve from Open Libraries of Humanities, Stephanie Dawson from ScienceOpen and Jadranka Stojanovski from HRCAK.
The report is expected to be published in February 2018 and is expected to contain between 12 and 15 use cases.
Gwen Franck is an independent consultant and trainer on Open Science related topics. Open Access Programme Coordinator for EIFL (working on FOSTER and OpenAIRE). Other activities include: former project lead for the OpenAIRE FP7 Post Grant Open Access project on behalf of LIBER. Former Regional Coordinator Europe for Creative Commons. Co-founder of Open Access Belgium on behalf of Ghent University Library.
2.2 Making Open Science transparent: the Bibliolabs project, Henri Bretel, Julien Sempéré, Vincent Thébault, Université Paris-Saclay, Paris, France
Big Research Universities tend to have increasingly diversified sources of income. The threat is that for researchers, every funder having their own requirements and evaluation rules makes it hard and stressful to comply with each of them, and for citizens it often fosters opacity, preventing people to easily trace the funding schemes of science.
One important source of income for research in recent years has been European funding, including ERC grants and projects in European Commission Framework Programs. Research funded by Europe offers an opportunity to enhance transparency towards citizen because Open Science is strongly incentivized, but it does not help researchers face the problem of diversity and opacity of funding sources and evaluation, since it adds the ‘ethics’ and ‘open science’ layers to the already intricate traditional bibliometrics used by supervisors.
At the moment, our university offers to help any researcher that asks for it to prepare their application, obtain ERC grants and, once obtained, comply with the demands of these kinds of funding, like research data management and making their research open.
By our project, we add a new, European facet to our bibliographic database, aiming to make use of the Open Data ecosystem to effectively support all researchers and not only those who ask for it. We combine three types of data that are available in our French context:
- Open data (OpenAIRE, CORDIS from Europe, national references like RNSR, IDRef and HAL, European and non-European patent databases),
- Private data from traditional bibliometric companies (Scopus and Web of Science),
- Self-gathered data from our European projects support team.
This way, we will first automatically discover any grant or project in which one of our researchers might be involved by crawling CORDIS database, then contact them and get an answer on whether or not they need help on complying to Open science and research data management policies. Then we will be able to follow each project and see all the types of impacts European funding has, from the publications and research data produced to the patents filed and theses prepared thanks to it. We could then share it through our open linked-data environment.
We then help:
- Our supervisors to see the impact of our Open Science policies,
- Our European project support staff to easily find and contact researchers who might need help,
- By ricochet, our researchers and fellow citizens to produce and get access to a more open and better science.
We hope to extend this initiative to all the projects funded in the Open data environment, like the French ANR projects, providing better support, easy and transparent evaluation and progressively making Open Science easier to produce for researchers and more transparent for all.
After getting a master’s degree in classical literature at Université Paris IV: la Sorbonne, Henri Bretel specialized in library science at Université Paris-Nanterre and began his career by working for the Data Management Plan training program for European project managers at Université Paris-Saclay.
He then stayed in the same university to lead the project that ended up in the “My synthesis, state of the art, and me” videos, a pedagogical project aiming to help Master students with their first bibliographic research works.
Since June 2018, he is the bibliometrics project manager in the Research department of Université Paris-Saclay and works closely with the Learning Center team.
Julien Sempéré is currently in charge of the Lumen Learning Center project at université Paris-Saclay. PhD and librarian curator, he’s working on change management, services development and ranking policies of the university. Involved in professional associations, he’s member and secretary of the IFLA Knowledge Management section and board member of the French academic librarian association (ADBU).
2.3 Is This the Way to Reproducibility?
Patricia Herterich, University of Birmingham, United Kingdom, Rosie Higman, University of Manchester, United Kingdom, The Turing Way, Alan Turing Institute, United Kingdom
Reproducible research is necessary to ensure that scientific work can be trusted. In addition to making publications available open access, funders and publishers are beginning to require that publications include access to the underlying data and the analysis code. The goal is to ensure that all results can be independently verified and built upon in future work, make research transparent for the benefit of the wider society and regain trust in research results.
This is sometimes easier said than done. Sharing data and code requires understanding of data management, library sciences, software development, and continuous integration techniques: skills that are not widely taught or expected of academic researchers and data scientists. Likewise, research data librarians can only provide support with some aspects of a reproducible research process, typically focusing on data management and sharing. Whilst reproducibility is slowly becoming more of a focus for research data librarians in the US, examples of similar posts in Europe are lacking (Sayre & Riegelman, 2018, Steeves, 2017). One of the key responsibilities of a “reproducibility librarian” will be establishing collaborations with a variety of stakeholders, to ensure they can point academics to resources covering reproducible practices throughout the full research life cycle.
The talk will introduce “The Turing Way” project, a 5 month project led by the Alan Turing Institute to bring together research software engineers and research data librarians in order to write a handbook to support students, their supervisors, funders and journal editors in ensuring that reproducible data science is “too easy not to do”. We will present the first release of the resource created as well as the process of developing a handbook in an open and transparent collaboration between librarians, research software engineers and researchers on GitHub (https://github.com/alan-turing-institute/the-turing-way/). The talk will reflect on the collaboration and how lessons learnt can help research data librarians gain skills and networks to provide holistic open science support in the future and stake their claim in supporting reproducibility.
Sayre, F., & Riegelman, A. (2018). The reproducibility crisis and academic libraries. College & Research Libraries, 79(1), 2. https://doi.org/10.5860/crl.79.1.2
Steeves, V. (2017). Reproducibility librarianship. Collaborative Librarianship, 9(2), 4. Available at: https://digitalcommons.du.edu/collaborativelibrarianship/vol9/iss2/4
Patricia Herterich is Research Repository Advisor at the University of Birmingham. As part of her role at the University, she provides training and advice on research data management, the University’s institutional repositories and Open Research. Before joining the University of Birmingham, she worked as a data librarian in CERN’s Scientific Information Service where she carried out research on the information architecture and requirements of research data services for High Energy Physics and developed an interest in Open Science, collaborative research, and skills and tools to support changing practices in scholarly communication.
Rosie Higman is a Research Data Librarian at the University of Manchester and a part-time PhD student studying Open Access and the role of National Libraries. Her role focuses on encouraging data sharing, advising researchers on data management planning and delivering training through the Library’s My Research Essentials programme. Rosie’s involvement in the Turing Way project stemmed from her passion for data sharing and reproducible research. She has a background in the social sciences, and her current studies are based jointly between the University of Sheffield and the British Library.