“FAIR minds open Science“ or “FAIR minds Open Science“. Either way, FAIR minds have exercised a considerable influence on the vision to increase the utility of data and other digital research resources.

For three years, the international support and coordination office of the GO FAIR Initiative has been supporting numerous pioneers in FAIR research data management. In the meantime, the European Open Science Cloud and national research data infrastructure have been launched. Where does the journey go from here?

The panel is intended to offer both a retrospective and an outlook. From the beginning, the goal was for the community to self-organise and continue FAIR activities in the long term after the three-year start-up phase of the GO FAIR Initiative. Our panelists will share their perspective on the GO FAIR Initiative and what the FAIR principles mean for the future development of Open Science infrastructures.

Moderation: Emily Johnston & Klaus Tochtermann
Speakers: Jean-Claude Burgelman, Suzanne Dumouchel, Elena Giglia, Hans-Josef Linkens, Karel Luyben, Barend Mons

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Rubber boots are a must at any festival. However, today at noon is flip flop time at the FAIR festival. The overall weather situation is “clear to cloudy” and as the session progresses, the clouds become clearer. Promised!

Currently, there are three clouds having an influence on the scientific atmosphere in Europe: NFDI, Gaia-X and EOSC. This plenary session is intended to focus on the synergies of these three major projects.

Our panelists will explore how the alignment of these Open Science infrastructures will significantly shape the climate of our scientific ecosystem. Which cooperations are necessary to successfully organise the exchange of scientific resources? How do they complement each other to advance the implementation of the FAIR principles as a whole? What aspects are drivers for future engagement?

Participants will gain insight into the current large-scale situation and certainly a sunny forecast for the performance/power of science and research. We are excited and looking forward to a spirited plenary round.

Moderation: Emily Johnston & Klaus Tochtermann
Speakers: Isabel Campos, Bob Jones, Christoph Lange-Bever, Silvana Muscella, York Sure-Vetter

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Time to say “Past forward!“ This plenary is going to be a vivid session with contributions from all current and emerging offices to pave the way for future GO FAIR community activities and build on the achievements of the past three years.

Let’s take full advantage of the effervescent energy of summer and virtually round up the community to move on with the FAIR shift in research data management. Our panelists from Austria, Brazil, China, Denmark, France, Germany, The Netherlands and the US will share their ongoing activities and jointly paint a picture on the future support for the international GO FAIR community. Enjoy the FAIR road trip around the globe!

Moderation: Emily Johnston & Klaus Tochtermann
Speakers: Rene Belso, Paolo Budroni, Anja Busch, Ronald Cornet, Melissa Cragin, Laurent Crouzet, Xavier Engels, Christine Kirkpatrick, Jianhui Li, Barend Mons, João Moreira, Barbara Sánchez Solís
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Academic publications can seem to be an already FAIRified object, but it may not be the case for all publishers, especially small and open access publishers. Furthermore, as publications are an essential part of the research process in Social Sciences and Humanities, their FAIRification is instrumental in supporting these fields. Finally, while a minimal application of the FAIR principles increases visibility and dissemination, an advanced FAIRification of the publications will allow to fully consider publications as data and extend the possibility and types of their reuse. With these three aspects in mind, the CO-OPERAS IN has started to work with publishing platforms to establish a FAIR publishing toolkit, which contains a framework allowing to understand, assess, and plan the FAIRification of a publishing platform.

Speakers: Arnaud Gingold, Karla Avanço
Link to presentations

The GO FAIR BiodiFAIRse IN is working on a FAIR pilot on biodiversity as a source of information, but also as an effective discovery tool. They scout FAIR approaches and evaluate implementations for their use cases. In this session the chances and challenges to operationalizing a pilot through international convergence will be presented.

Speaker: Yvan Le Bras
Link to presentation

The GO NANOFAB IN aims to work towards making accessible data, parameters and workflows from Nano Fabrication (NF) research laboratories, where silicon sensors are designed and manufactured. Specifically, GO NANOFAB seeks to define standard description of fabrication steps even in R&D context, where quite each new sensor requires new recipes. The standardization will promote straight-forward sharing of NF processes without “reinventing the wheel”, allowing shortening the time “from idea to the prototype”. Standardization will involve the description of equipment, recipes, materials and method of evaluation of processes as well as best practice to improve process quality.

Speaker: Lorenza Ferrario
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The GlobAl Integrated EArth Data Implementation Network (GAIADATA) and BiodiFAIRse – both GO FAIR Implementation Networks – collaborate in building FAIR distributed services and products. They seeking to improve transdisciplinary and cross-domain discovery, access, data interoperability, and reuse of biodiversity, geosciences, and climate data on an international level. Their approaches based on latest standards will be presented and discussed in this session.

Speakers: Yvan Le Bras, Marine Vernet
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This session is intended to provide a broad view of the landscape of efforts associated with capacity building for FAIR data stewards. Panelists will first present information on what’s going on around the globe in terms of efforts to professionalize data stewards including those focused on FAIR, a precis of existing training / educational resources available for FAIR data stewards and the current state of development for skills /competencies frameworks for FAIR data stewards. There will be time for Q/A and discussions with audience participation welcomed.

Speakers: Débora Drucker, Nancy Hoebelheinrich
Link to presentations

Findability is a core principle of the FAIR principles, yet, researchers often report that data discovery is difficult. One of the reasons for this is that data discovery goes beyond the question of metadata quality and involves a diverse, often overlapping infrastructure. In a rapidly expanding ecosystem of research data, it can be easy to get overwhelmed in the flood of data. The GO FAIR Implementation Network on Discovery addresses this challenge. The main purpose of the Discovery IN is to provide interfaces and other user-facing services for data discovery across disciplines. In this workshop by the Discovery IN, we want to discuss our progress in this regard. In particular, we will focus on (a) a largescale collection of data discovery use cases and (b) an architecture for an open ecosystem of einfrastructures for data discovery. The format of the workshop will be a presentation of the current state of our work followed by an extended discussion.

Speakers: Peter Kraker, Brigitte Mathiak, Alessia Bardi
Link to presentation

Building on the lessons learned developing FAIR curriculum and training, FAIR Bytes explores another approach. One that is flexible, that evolves with the evolving landscape of FAIR approaches and tools, that is inclusive and taps the expertise of the community in a broader way, and gives outreach and training professionals information to pick and choose from for their local activities. This session will provide background on FAIR Bytes and discuss current and future steps community members are taking to move it forward.

Speakers: Sara El-Gebali, Chris Erdmann, Annajiat Alim Rasel, Donny Winston
Link to presentation

This session will explore the challenges that current and future data stewards face in networking with colleagues and finding resources. Background on the challenges data stewards face will be provided in addition to recent feedback from a GO FAIR US Data Stewardship Interest Group Meeting on April 30, 2021. A path towards growing a community and empowering data stewards will be discussed.

Speaker: Katie Knight

Have you been hearing about FAIR Digital Objects (FDO) and wondering what they are? Listen to this session for a brief overview of the most promising future infrastructure for data interoperability on the horizon, FDO enabling technologies, and use cases.

Speakers: Christine Kirkpatrick, Larry Lannom, Rob Quick, George Strawn
Link to presentations

The FAIR Principles have two aspects: They were written specifically for research data and they also claim to be general for all research objects. In practice, this means that while the high-level concepts (findable, accessible, interoperable, and reusable) are generally applicable, the details of the wording, their context, and how they are applied is not. Different groups have been studying how the FAIR principles could be applied to other types of research objects, such as research software, machine learning models, and workflows, and this session will include talks on these three efforts and their status, followed by questions from the audience to the speakers and moderator.

Moderation: Anna-Lena Lamprecht
Speakers: Carole Goble, Daniel S. Katz, Carlos Martinez-Ortiz
Link to presentations

In this session, we will explore FAIR implementation through a number of featured projects. We will learn about the challenges the projects are facing and the solutions they are taking to implement FAIR. Following their presentations, there will be time for a brief Q&A discussion.

Speakers: Chris Erdmann, Sandra Gesing, Maria Luiza Machado Campos, Stian Soiland-Reyes, Denis Yuen
Link to presentations

As part of the US GO FAIR sessions, we will hold a short panel and Q+A session with US Funders. Many current FAIR initiatives have grown out of large investments in the EU, as well as local (EU) funder mandates to devote a percentage of an award to data management. To increase broader understanding of the current international landscape, this panel will provide an update on the state of FAIR funding in the US, noting any trends and potential pathways going forward.

Speakers: Ishwar Chandramouliswaran, Melissa Cragin, Martin Halbert, Margaret Lentz
Link to presentation

It will be presented Brazilian results in establishing metadata guidelines for research data repositories. These results are based on a comparative study between OpenAIRE Guidelines for Research Data Repositories and FAIR Data Point metadata description. Moreover, some perspectives are designed in relation to helping Brasilian institutions in the creation of institutional research data repositories.

Speaker: Washington Segundo

Following a short introduction to the Data Stewardship Competence Centers GO FAIR Implementation Network structure and goals, we will discover how national chapters developed activities to foster FAIR Data Stewardship in their countries. In the second part, speakers will answer questions and discuss with the audience knowledge sharing and convergence across countries and projects.

Moderation: Valentina Pasquale
Speakers: Elena Giglia, Monika Linne, Hannah Mihai, Maria Pawlowska, Laurents Sesink,  Sarah Stryeck, Anna Walek
Link to presentations

In this session, we will present the training on “FAIR data Management” which took place in Brazil, within the scope of GO FAIR Brazil, GO FAIR Health and Nursing for researchers, librarians and health and information professionals.

Speakers: Patrícia Henning, Viviane Veiga

How to engage people and institutions with going FAIR? In this session, we will present our strategy for promoting FAIR principles and cultural change within the GO-CHANGE pillar of the Brazilian network

Speaker: Débora Drucker
Link to presentation

This session looks at the practical issues around the FAIR ecosystem which arose during the recent EOSC Co-Creation project “The Role of DDI-CDI for EOSC: Possible Uses and Applications”. It uses the investigation of how a cross-domain metadata standard, DDI-CDI, coordinates with FDOs, and ultimately fits into the FAIR ecosystem.

I. Overview: The FAIR Ecosystem in the EOSC Report, and the Capabilities of DDI-CDI
This presentation summarizes the description of the FAIR ecosystem as given in the EOSC report, and characterizes the roles identified for DDI-CDI. It examines the difficulties of defining a sufficient FDO which is also optimized for use.

II. FDOs and FAIR: Implementation Questions and Possible Solutions
This presentation explores many of the questions which arise from a practical examination of how FAIR systems using standards such as DDI-CDI can be deployed, relying on the FDO as a pivotal construct where the different information is brought together for use. These range from technical issues and questions about legacy systems to questions about how best to support adoption. The need to clearly identify the target audiences for supporting adoption is explored, and a consideration of their requirements given. Possible solutions suggested by earlier standardization efforts are identified.

III. FAIR Digital Objects: Data and Metadata
This presentation describes some of the work on FDOs and how they will be employed to act as the primary protocol for the transmission of data and metadata. While an FDO is a potentially limitless construct, the set of FDOs of significance in the sharing of research data and metadata across domains is more limited in scope. The intersection of these sets of requirements is presented.

IV. Toward a Typology of Metadata
Using DDI-CDI as an example, a possible framework for describing metadata referenced by FDOs is proposed as the basis for further discussion. This topic serves to bring the earlier presentations into focus, approaching the issues in a bottom-up fashion from the perspective of implementers and standards developers deploying systems for FAIR data sharing.

Moderation: Simon Hodson

Speakers: Luiz Bonino, Arofan Gregory, Simon Hodson, Joachim Wackerow
Link to presentations

FAIR Digital Objects (FDOs) are especially needed when it comes to linking together heterogenous data from different communities in order to advance cross-disciplinary research. However, it is still neither clear what the minimum set of attributes making a FDO is nor do we have a model for representing these attributes in a semantically unambiguous and machine-actionable way. The session will discuss requirements to be taken into account for future discussions on a semantic model for FDOs.

Speakers: Peter Mutschke, Yann le Franc, Peter Wittenburg
Link to presentations