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Implementing FAIR principles: GO FAIR community joins forces

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International FAIR Convergence Symposium (27 November – 04 December 2020): Recordings

Plenaries

Plenary 1: International Open Science in 2020

Speakers: Geoffrey Boulton, Jean-Claude Burgelman, Marin Dacos, Ana Persic
Moderation: Bonnie Carroll
Topic: 2020 could prove a pivotal year for Open Science. Initiatives such as the European Open Science Cloud, the International Science Council’s Action Plan and UNESCO’s recommendation on Open Science have accelerated Open Science and FAIR data. [more]


Plenary 2: Convergence for Global Open Science Infrastructures

Speakers: Robert Hanisch, Rosie Hicks, Jianhui Li, Karel Luyben, Mazlan Othman, Tshiamo Motshegw
Moderation: Barend Mons
Topic: Digital transformations in research practices have led research funders and science systems to increasingly invest in national or regional Open Science Clouds or Platforms. [more]


Plenary 3: FAIR Convergence

Speakers: Luiz Bonino, Stuart Chalk, Simon Cox, Alejandra Gonzalez-Beltran, Arofan Gregory, Robert Hanisch, Barbara Magagna, Barend Mons, Erik Schultes
Moderation: Simon Hodson
Topic: The FAIR principles contribute to increasing the utility of data and other digital objects. A number of initiatives are seeking to build consensus about how to realise the FAIR principles as a whole, and in particular how to address the interoperability and reusability of data. [more]


Plenary 4: Crisis Reduction and Response and the Role of FAIR Data

Speakers: Bapon Fakhruddin, Antoine Flahault, Peter Gluckman, Chifundo Kanjala, Priyanka Pillai, Mirjam van Reisen
Moderation: Virginia Murray
Topic: The global sanitary crisis has demonstrated the importance of science-based policy, and of accurate, real-time data sharing and scientific transparency that are dependent on sound data stewardship and the FAIR principles. [more]


Promoted Panel: FAIR Data Stewardship: Training and Career Opportunities

Speakers: Erik Flikkenschild, Yann Le Franc, Marta Teperek, Valentina Pasquale, Venkataraman Shanmugasundaram
Moderation: Erik Schultes
Topic: FAIR is about establishing a partnership between humans and machines. At the interface of this new partnership is the data steward who has the skills and experience to bridge the purely technical universe of computer operations and the nuanced, dynamic and often vague domains of human knowledge. [more]


Lightning Talks

Speakers: Melissa Cragin, Tereza Kalova, Tess Korthout, Annalisa Montesanti, Robin Rice
Moderation: Hana Pergl
Topic: GO FAIR US, FAIR Research in Austria, FAIR Review of University of Edinburgh, Open Science and Real World Data, Health Research Data in Ireland. [more]

Applying Lessons from COVID-19 to other Hazards

Speakers: Felix Emeka Anyiam , Jacqueline Stephens, Usha Mujoo Munshi, Olusola Sokefun, Dr Hannah Moore
Topic: The current global pandemic has shown the world the importance of data and innovation in disaster management. COVID-19 provides an opportunity to develop case studies and lessons to mitigate future outbreaks by maximizing the effectiveness of data in decision making. [more]


COVID Information Commons Research Collaboration

Speakers: Dominique Duncan, Nora Garza, Florence Hudson, Erick Jones, Debbie Kim, Debra Laefer, Michael Pazzani, Howard Stone, Ashok Srinivasan, Ajitesh Srivastava
Topic: The COVID Information Commons (CIC) is a globally accessible open website to facilitate knowledge sharing and collaboration across various COVID research efforts, and enabling researchers to leverage the award information to collaborate. [more]


Data Requirements for Responding to an Infectious Disease Pandemic. Highlighting the Example of HIV Using the ALPHA Network

Speakers: Tathagata Bhattacharjee, Clara Calvert, Jeff Eaton, Milly Marston, Emma Slaymaker, Jim Todd, Keith Tomlin
Topic: Topic: Infectious diseases are a major cause of morbidity and mortality across the world, but especially in low and middle income countries. Data from different sources are needed for modelling the spread of a pandemic. [more]


FAIRifying Vulnerable People During the COVID-19 Pandemic

Speakers: Kibrom Fekadu, Francis Kinyua Gathua, Mariem Ghadallou, Asma Ben Hadj Hassen, Christine Kirkpatrick, Bryan Kole, Reginald Nalugala, Whitney Atieno Pumwani, Anouk Smeets, Klara Smits, Morgane Wirtz
Topic: The undetected spread of COVID-19 threatens communities that are not well represented in the global debate. FAIR can help in getting a better understanding of the way in which the virus spreads. [more]


Overcoming Challenges of SARS-CoV-2 Genomics Data Sharing for Public Health Surveillance

Speakers: Dominique Anderson, Rhiannon Cameron, Damion Dooley, Emma Griffiths, William Hsiao, Lee Katz, Duncan MacCannell, Finlay Maguire, Ines Mendes, Ruth Timme
Topic: High-quality genomics contextual data is critical for answering biological questions, and informed decision-making. Getting the right information to the right people is critical during health emergencies, but is often hampered by fragmented data collection. [more]


VODAN- Africa Horizons for Health Management

Speakers: Wondimu Ayele, Mariam Basajja, Mariem Ghadallou, Reginald Nalugala, Francisca Oladipo, Mirjam van Reisen, Maria Yazdanbakhsh
Topic: The COVID-19 outbreak has accelerated the interest in FAIR in Africa, and resulted in the VODAN-Africa network. Following the successful deployment of the FAIR Data Points the question is how analytics of infectious diseases can be improved. [more]


VODAN – Beyond COVID

Speakers: Ibrahim Abdullahi, Mulingwa Albert, Wondimu Ayele, Patrick Kyamanywa, Fenghong Liu, Reginald Nalugala, Meriem, Mirjam van Reisen, Maria Yazdanbakshs
Topic: The undetected spread of COVID-19 in Africa and communities with limited access to health care is among the greatest challenges in curbing the pandemic. This is compounded by the limited linking of available data. [more]

Building a FAIR Roadmap for Research Software

Speakers: Michelle Barker, Leyla Garcia, Tom Honeyman, Neil Chue Hong, Daniel Katz, Paula Martinez, Carlos Martinez-Ortiz, Paul Richmond
Topic: Software has become essential for research, and application of the FAIR guiding principles to software is a vital part of advancing reproducibility and open science. [more]


Designing a FAIR Data Discovery Ecosystem

Speakers: Alessia Bardi, Antica Culina, Francesca Di Donato, Nick Juty, Peter Kraker, Brigitte Mathiak
Topic: Findability is a core principle of the FAIR principles, yet, researchers often report that data discovery is difficult. The GO FAIR Implementation Network Discovery addresses this challenge. [more]


FAIR Digital Objects for Cross-domain Data Searching & Linking and Semantic Interoperability

Speakers: Luiz Bonino, Yann Le Franc, Clement Jonquet, Barbara Magagna, Peter Mutschke, Andrea Scharnhorst, Daniel Schiffner
Topic: The research data landscape is widely fragmented. Data repositories are highly disciplinary and disconnected. A key challenge of a cross-disciplinary implementation of the FAIR principles lies in the complexities of interoperability. [more]


FAIR Equivalence Tool

Speakers: Mariam Basajja, Kudakwashe Chindoza, Putu Hadi, Abdullahi Abubakar Kawu, Mirjam van Reisen
Topic: The FAIR Equivalence tool has been developed by PhD researchers of the GO FAIR Implementation Network Ambassadors. Its goal: Assess the convergence of FAIR with existing regulatory frameworks on digital data and specific domains. [more]


FAIR Workflows Session

Speakers: Sarah Cohen-Boulakia, Michael R. Crusoe, Bert Droesbeke, Ignacio Eguinoa, Alban Gaignard, Daniel Garijo, Carole Goble, Björn Grüning, Frédéric Lemoine, Célia Michotey, Cyril Pommier, Rafael Ferreira da Silva, Stian Soiland-Reyes, Joaquin Vanschoren
Topic: Scientific workflows capture precise descriptions of the steps and data dependencies needed to carry out computational experiments. In order to promote long-term usability and uptake by the scientific community, workflows should become FAIR. [more]


Making Your Repository More FAIR-enabling

Speakers: Claudia Behnke, Linas Čepinskas, Joy Davidson, Robert Huber, Frans Huigen, Elizabeth Newbold
Topic: A FAIR-enabling repository requires improved interoperability, increased data stewardship skills and capacity, and FAIR data assessments in a trustworthy environment. [more]


Methods for Federating Data Repositories Across Domains and Sites

Speakers: Herbert van de Sompel, Klaus Tochtermann, Heinrich Widmann
Topic: Making data FAIR has shown to be not as simple as one would commonly expect. In the last decade, many domain- and site-specific research data repositories were created, and do their best to implement FAIR standards. However, interoperability between sites and repositories needs to be improved, and it is certainly instructive to learn from these experiences. [more]


Priority Issues for the RDA FAIR Data Maturity Model Working Group

Speakers: Christophe Bahim, Makx Dekkers, Edit Herczog, Keith Russell, Shelley Stall
Topic: In June 2020, RDA published a recommendation on the RDA FAIR Data Maturity Model with a set of indicators and evaluation levels for assessment of FAIRness in research data. In September 2020 a number of priority issues to be further developed were identified. [more]


Towards FAIR Biodiversity Virtual Research Environments

Speakers: Wouter Addink, Elie Arnaud, Elisa Bayraktarov, Romain David, Nicola Fiore, Björn Grüning, Romain Julliard, Bertram Ludäscher, Margaret O’Brien, Coline Royaux, Aj Sáenz-Albanés, Colin Smith
Topic: The GO FAIR BiodiFAIRse Implementation Network was created with the plan to build a Biodiversity virtual research environment template and develop tools to promote FAIR research data and objects. [more]


Working with Various Public Personal Health Train Implementations and FAIR Data Stations

Speakers: Oya Beyan, Ananya Choudhury, Toralf Kisten, Matthijs Sloep, Johan van Soest, Sascha Welten, Lukas Zimmermann
Topic: Personal Health Trains advance science through a shared infrastructure to support data management, analysis and medical decision-making. This session elaborates how researchers from different disciplines can use these infrastructure implementations for their datasets. [more]

Challenges for Mobility Data Sharing while Implementing MaaS

Speakers: Theresa Anderson, Shaily Gandhi, Ronit Purian-Lukatch
Topic: Mobility data is one of the most important data to study the human movement all across the world. Mobility-as-a-Service (MaaS) is a type of service which most of the countries are striving to implement, but have trouble doing so. [more]


Change in the Dynamics of Resilient Cities post Pandemic

Speakers: Theresa Anderson, Robert Braun, Anup Kumar Das, Jairo Espinosa, Sudhanshu Mishra, Ronit Purian-Lukatch
Topic: Topic: Some cities can better handle natural and human-made disasters using data to protect human life and absorb the impact of economic, environmental, and social hazards. [more]


FAIR Data Infrastructure for Modelling the Energy Transition & Climate Change Mitigation in the Context of the SDGs

Speakers: Sarah Berendes, Christian Hofmann, Daniel Huppmann
Topic: The transition to a zero-carbon energy system is an integral part of the global mission to mitigate climate change and adapt to its adverse impacts. At the same time, many other sectors of the economy and human behaviour more generally also need to change to realize all UN Sustainable Development Goals. [more]


FAIR Implementation by Life Science Industry

Speakers: João Porto de Albuquerque, Alexandra Grebe de Barron, Tony Burdett, Ian Harrow, Ellen Greggio, Tom Plasterer, Philippe Rocca-Serra, Martin Romackerm
Topic: The Pistoia Alliance, a global non-profit that works to lower barriers to innovation in Life Sciences Research and Development, has designed and developed a new toolkit to help companies to implement the FAIR guiding principles for data management and stewardship. [more]


FAIR: If You Don’t Bring People on the Journey, How are They Coming with You?

Speakers: Negussie Efa, Arun Jadhav, Chipo Msengezi, Ruthie Musker, Michael Rose
Topic: The Centre for Agriculture and Biosciences International developed the Theory of Change for embedding FAIR data sharing in projects and institutions, arguing that FAIR data and sharing are for many new ways of working. [more]


FAIR Implementation for Federated Food Systems Data

Speakers: Sophie Aubin, Patricia Bertin, Deborah Drucker, Clement Jonquet, Ben Schaap, Erik Schultes, Pete Selby
Topic: Data from Food Systems has critical implications for society. Whether data is used to monitor the Sustainable Development Goal of Zero Hunger or for mitigating COVID-19 virus outbreaks from livestock farming systems, FAIR data from Food Systems prove to be vital for these societal goals. [more]


‘Making the Invisible Visible’ in Data Processing

Speakers: Theresa Anderson, Ana Ortigoza
Topic: Data has an origin before it appears in any spreadsheet. Behind every data point, there is a human being and a value-laden chain of activities inviting more thoughtful consideration about who/how/what is counted. Absences from data can speak volumes if we learn to look for the missing, misrepresented and underrepresented in our data. [more]


Plant Data Semantics and Food Security: Incorporating Local Imperatives into FAIR Data Linkage Tools

Speakers: Elizabeth Arnaud, Sabina Leonelli, Selim Louafi, Hugh F. Williamson, Foteini Zampati
Topic: Food security is dependent on the integration of many different types of data and the coordination of diverse global networks. Making plant data FAIR is a necessary element in this process. This session examines the challenges of producing and linking FAIR data in plant and agricultural science intertwined with political, social and technical challenges. [more]


Role of Data Stewardship Centres in Research Institutions: The Case of Kenya Market

Speakers: Boniface Akuku, Irene Wambui Kimani, Priscilla Wambui Muthoni, Joseph Muliaro Wafula, Nicholas Waweru
Topic: The case studies of the Kenya Market Information Systems and Livestock Market Information System show how useful open science tools are as utilities for the agriculture sector in Kenya and beyond. [more]


Synergies between Citizen Science Data and the UN Sustainable Development Goal (SDG) Indicators

Speakers: Jillian Campbell, Bob Chen, Jeanne Holm, Steve McFeely, Henry Sauermann, Omar Seidu
Topic: Achieving the United Nations Sustainable Development Goals requires major transformations, integrated approaches and informed decisions that are based on accurate, timely and comprehensive data. There are still major gaps in our knowledge for guiding policies and actions. [more]

Data Experience Sharing from the Early Career Researcher

Speakers: Dominic Amuzu, Joel Defo, Bouajila Essifi, Jean Pierre Hitimana, Chinedu Christopher Obieze, J.C. Albert Peralta, Nivedita Sairam
Topic: RDA Summer school alumni from various domains share their data problems and techniques used to overcome the data challenges. [more]


Data Stewardship and FAIR Competences in Academic Curricula

Speakers: Yuri Demchenko, Vinciane Gaillard, Celia van Gelder, Mijke Jetten, Michael Svendsen
Topic: Skills for data management are critical for wide adoption of the Open Science practices and effective use of the growing portfolio of services of the EOSC. The FAIR data management principles and data stewardship provide a foundation of effective research data management. [more]


Data Stewardship Competencies Curricula Development

Speakers: John Graybeal, Fenghong Liu, Mark Musen, Ezekiel Ogundepo, Wuraola Oyewusi, Katy Wolstencroft
Topic: There is a need to train competent FAIR-based data stewards and curricula are being developed to help provide such training. [more]


Data Stewardship Competencies, Skills and Training

Speakers: Steve Diggs, Alastair Dunning, Erik Schultes, Venkataraman Shanmugasundaram, Muliaro Wafula
Topic: As the daily volume of data generated grows at an exponential rate, making the role of a data steward more and more complex around the world, these needs require that Data stewards are continually trained and supported as they grow in their career path. [more]


Professionalising Data Stewardship

Speakers: Daniela Hausen, Mijke Jetten, Yan Wang
Topic: Data stewardship is a topic that concerns the RDM support community as well as the various scientific disciplines. Case studies from the Netherlands and Germany demonstrate the challenges and solutions for career tracks for data stewards. [more]


Teaching FAIR Data Skills: Experiences, Lessons, Next steps

Speakers: Daniel Bangert, Melissa Cragin, Christopher Erdmann, Nancy Hoebelheinrich, Christine Kirkpatrick, Fiona Murphy, Shelley Stall, Natasha Simons
Topic: Open and FAIR data are essential to solving the big research challenges facing society. Supporting the skills needed to make data FAIR is crucial. Data stewards are the primary audience for these skills as they play a critical role in supporting researchers. [more]


The Data Documentation Initiative (DDI): Metadata for Comprehensive Data Management

Speakers: Jane Fry, Arofan Gregory, Hilde Orten, Anja Perry
Topic: Data stewardship demands a variety of skills, but all of them rely on good metadata. Few metadata standards address the more challenging aspects of data integration, harmonization, and management across the data lifecycle. DDI developed a granular metadata approach. [more]


The Importance of Demand and Environment for Defining Data Stewardship

Speakers: Jens Dierkes, Patrick Helling, Mijke Jetten, Monika Linne,, Felix Rau, Magdalena Szuflita-Żurawska, Anna Wałek
Topic: The role of data stewards in research data management is relatively young and the competence profiles in institutions are still in flux leading to varying roles with substantially differing competence profiles. Therefore, there is a need to define the role of data stewards. [more]

A Research Data Framework RDaF: Invitation to International Cooperation

Speakers: Eva Campo, Bonnie Carroll, Bob Hanisch, Edit Herczog, Simon Hodson, Lautaro Matas, Peggy Efua Oti-Boateng, Alan Paic, Tobin Smith, Peter Wittenburg
Topic: How are RD initiatives related to each other and how can synergies be facilitated? This workshop discussed a few international organizations and their initiatives that are relevant to the NIST initiative to create a framework for the management of research data. FAIR open data is an underlying principle. [more]


FAIR Data Provenance

Speakers: George Alter, Simon Cox, Vincenzo Delvecchio, Jay Greenfield, Arofan Gregory, Matt Jones, Bertram Ludaescher, Timothy McPhillips, Flavio Rizzolo, Stian Soiland-Reyes
Topic: FAIR data principles imply that the origins and processing history of data should be discoverable. But data provenance is a critical resource that is all-too-often lacking. [more]


FAIR Vocabularies and Vocabulary Services (1)

Speakers: Pier Luigi Buttigieg, Stuart Chalk, Simon Cox, Anu Devaraju, Simon Hodson, Alejandra Gonzalez-Beltran, Linda Gregory, Barbara Magagna, Gwen Moncoiffe, Virginia Murray, Mark Rattenbury, Steve Ray, Steve Richard
Topic: Shared terminology is key to accurate communication. There is increasing interest in making common vocabularies available for use across broader communities, supporting harmonization of datasets both within and across disciplines. Part 1: Create and use FAIR vocabularies [more]


FAIR Vocabularies and Vocabulary Services (2)

Speakers: Adrian Burton, Yann Le Franc, John Graybeal, Simon Hodson, Alexandra Kokkinaki, Lewis McGibbney, Gwen Moncoiffe, Lesley Wyborn
Topic: Shared terminology is key to accurate communication. There is increasing interest in making common vocabularies available for use across broader communities, supporting harmonization of datasets both within and across disciplines. Part 2: Sustainability of FAIR vocabularies [more]


Interoperable Units of Measure: Discussion Session

Speakers: Stuart Chalk, Simon Cox, Jeremy Frey, Robert Hanisch, Richard Hartshorn, Simon Hodson
Topic: The current state of the digital representation of units of measure across domains is a significant problem relative to the interoperability of data and it needs to be addressed immediately. [more]


Linking, Composing and Integrating Infectious Disease Data

Speakers: Claire Austin, Jay Greenfield, Arofan Gregory, Chifundo Kanjala, Rebecca Koskela, Rajni Nagrani, Jim Todd
Topic: There are ongoing efforts to build a data-sharing network in Eastern and Southern Africa that could also serve as a model in other parts of the world, and in other domains. The initial focus is on HIV research. [more]


M4M Workshop: Making Domain-relevant Machine-actionable Metadata at Scale

Speakers: Barbara Magagna, Mirjam van Reisen, Erik Schultes, Valeria Jana Schwanitz, Nikola Vasiljevic, August Wierling
Topic: Machine-actionable, semantically-rich, domain-relevant metadata is fundamental for FAIR interoperation of data, algorithms and compute resources. In an effort to support convergence of metadata components, GO FAIR launched the Metadata for Machines Workshops. [more]


Mobilizing the Global Open Science Cloud (GOSC) Initiative: Priority, Progress and Partnership

Speakers: Jianhui Li, Chen Fang, Ian Foster, Mark Leggott, Tshiamo Motshegwa, Noorsaadah Abd. Rahman, Lili Zhang
Topic: To advance the frontiers of science and tackle grant challenges of humanities, Open Science endeavors to increase collaboration. The concept of a “Global Open Science Cloud” aims to promote dialogue, cooperation, alignment and interoperability between multiple Open Science cloud and platform initiatives. [more]


Report of Presymposium Workshops Creating FIPs and the Convergence Matrix

Speakers: Damien Boulanger, Justin Buck, Lara Ferrigh, Ian Harrow, Peter Mutschke, Jan Schneider, Leopold Talirz, Zachary Trautt
Topic: As part of the Three-Point FAIRification Framework and in an effort to accelerate broad community convergence on FAIR implementation options, the GO FAIR community has launched the development of machine-actionable FAIR Implementation Profiles (FIP). [more]