© GO FAIR 2017

Flash Presentations - Implementation NetworksInternational GO FAIR Implementation Networks meeting, 15/16 January 2019

#INsGOFAIR19

Background / Instructions

• In the introductory session on January 15th each IN is to present two slides:

■ Slide 1 for each IN prepared by GFISCO based on survey completed by the IN representative (see examples for INs that already completed the survey)

■ Slide 2 is a ‘free’ format to be prepared by the IN prior to the meeting within this Google slide deck, but we suggest some topics you may want to touch on during your 3. min flash presentation

C2CAMP

• Topic: Managing Digital Objects in an Expanding Science Ecosystem 

• IN contact person: Peter Wittenburg, Dimitris Koureas

• Membership (key organisations):

C2CAMP – Objectives/goals

Personal Health Train

• Topic: How and where can the FAIR data train serve people. And where not?

• IN contact person: inga.tharun@lygature.org

• Membership: Netherland, Germany, Switzerland

PHT – Objectives/goals

• Suggested topics:■ Main goal(s) to be achieved by the IN through GO FAIR (in 2019 and beyond):

▪ Develop and Implement distiributed data analytics solutions in a FAIR ecosystem enabling the (re)use of healthcare data

▪ Empower patients and organizations to decide and monitor the use of their data▪ Facilitate the responsible use of sensitive and/or personal data▪ Create machine-readable and interpretable data, metadata, workflows, and

services, aiming for maximal interoperability between diverse systemsParticipate in technical guidance of parties that are interested in implementation

■ Coordination / Support expected from GFISCO Organize interaction between INs (please no mailing lists but personal interaction and and bundled overview such as a newsletter e.g.)

■ Expectations from this meeting

Get to know other IN-coordinator, learn about other INs, find synergy on various topics such as implementation experience and sustainability of the IN

Personal Health Train

Chemistry IN

• Topic: Chemistry & Cheminformatics with emphasis on neighbouring disciplines 

• IN contact person: Simon Coles

• Membership: ■ Coordination/Lead: International Union of Pure and Applied Chemistry (IUPAC)■ Research Data Alliance (Chemistry Data Interest Group) ■ US Federal Drug Administration (FDA) ■ US Environmental Protection Agency (EPA) ■ European Chemical Industry Council (CEFIC) ■ Society of Chemical Industry (SCI) ■ National Institute of Science and Technology Policy (NISTEP) ■ InChI Trust ■ Pistoia Alliance ■ Allotrope Foundation ■ Recognised institutions in the field of chemical informatics (eg NCBI and EBI)

ChIN

■ Main goal(s) to be achieved by ChIN through GO FAIR (in 2019 and beyond)Creating a GO FAIR Chemistry culture1. Establish a ChIN working group focussing on implementation and community engagement, with Chemistry Research Data

Interest Group (RDA) and the IUPAC Colour Book project 2. Collaborative ChIN-CRDIG promotion through stakeholders3. Create a group of recognised chemistry leaders to champion GO FAIR in the sub-disciplines4. Develop a map of existing GO FAIR Chemistry resources, bodies, approaches and (curated by FAIRsharing)5. Create chemistry GO FAIR digital resource to make GO FAIR Chemistry more digestible by chemists (FAIRSharing). 6. Identifying gaps (based on coverage from above) and recommending priorities.

Building Chemistry standards and infrastructure1. Governance: Establish a clear governance structure for Chemistry FAIR standards through IUPAC 2. Standards: Support the IUPAC Cheminformatics Colour Book project to aggregate current standards:

Chemical structure representation / normalization (file formats & identifiers), including ambiguous/complicated situations; Encoding representations into standardised formats; Chemical semantics e.g. IUPAC ontology; Chemical representation standards (chemical instrumentation data standards, online/standalone validation tools, reference implementations)

3. Tools: Identify tools or services to manipulate data/information (pre “publication”, for publication and post-publication)4. Resources: Undertake an analysis of the data repository needs in chemistry and suggest a sustainable pathway forward5. Workflows: Agreement on workflows supporting FAIR management of chemical data across the information life-cycle.

■ Coordination / Support expected from GFISCO; Expectations from this meeting • Understanding of best way to operate an IN• Identify ‘neighbouring INs’ and engage...

EcoSoc

• Topic: Economic and Social Sciences 

• IN contact person: Pascal Siegers

• Membership: ■German Data Forum (RatSWD)

■Regina Riphahn (Chair of the German Data Forum (RatSWD))

■Stefan Bender (Deputy Chair of the German Data Forum (RatSWD))

■Pascal Siegers (Chair of the RDC Committee)

■Jan Goebel (Deputy Chair of the RDC Committee)

■Research Data Centre ALLBUS at GESIS (RDC ALLBUS)

■International Data Service Centre at the Institute for the Study of Labour (FDZ IZA, IDSC)

■Research Data Centre Education at the DIPF | Leibniz Institute for Research and Information in Education (FDZ Bildung)

■Deutsche Bundesbank Research Data and Service Centre (RDSC Bundesbank)

■Research Data Centre of the Socio-Economic Panel Study at DIW Berlin (RDC SOEP)

■Qualiservice

■Research Data Center Programme for the International Assessment of Adult Competencies (PIAAC) at GESIS (RDC PIAAC)

■Research Data Centre PsychData of the Leibniz Institute for Psychology Information (FDZ PsychData at ZPID)

■Research Data Centre International Survey Programmes at GESIS (RDC International Survey Programmes)

■Research Data Center of the Leibniz Institute for Educational Trajectories at the University of Bamberg (RDC LIfBi)

■Research Data Center Wissenschaftsstatistik of the Stifterverband (RDC Wissenschaftsstatistik)

■Research Data Centre for Higher Education Research and Science Studies (fdz.DZHW)

■Research Data Centre of the German Family Panel (FDZ pairfam)

■ZEW Research Data Centre for European Economic Research (ZEW-FDZ)

EcoSoc – Objectives/goals

• Suggested topics:■ Main goal(s) to be achieved by the IN through GO FAIR (in 2019 and beyond)■ Coordination / Support expected from GFISCO ■ Expectations from this meeting

SeaDataNet

• Topic: pan-European infrastructure for ocean & marine data management

• IN contact person: Peter Thijsse (MARIS)

• Consortium membership: 56 partners and 5 sub-contractors

https://www.seadatanet.org/About-us/SeaDataCloud/Partners

SeaDataNet – Objectives/goals

• Operational (since 2009) infrastructure providing standardized access to >2 million marine and oceanographic data sets from 110 data nodes in 35 countries in and around Europe

• Data exchange using a series of well-governed vocabularies- Used in global oceanographic community- NERC Vocabulary Server- European Directory of Marine Organizations (EDMO)- European Directory of Marine and Environmental Research Projects (EDMERP)- Etc.

• Preliminary tests on FAIRness of the SeaDataNet infrastructure (together with Erik Schultes, GO-FAIR) showed F and A to be (very) good; I very good for human users, not so good yet for machine-to-machine access (being addressed in current SeaDataCloud project); R needs more work on providing provenance info to the user

• Expectations for this meeting: which steps to implement to become GO-FAIR IN, status of automated FAIR checker

INOSIE

• Topic: Implementation Network for Open Science in Industrial Ecology

• IN contact person: Konstantin Stadler

• Membership (preliminary): ■ Stadler, Konstantin - Industrial Ecology Prog., NTNU, NO - 0000-0002-1548-201X

■ Pauliuk, Stefan - Faculty of Envir. and Natural Resources, Uni. of Freiburg, DE - 0000-0002-6869-1405

■ Myers, Rupert - School of Engineering, University of Edinburgh, UK - 0000-0001-6097-2088

■ Heeren, Niko - School of Forestry and Envir. Studies, Yale University, USA - 0000-0003-4967-6557

■ Majeau-Bettez, Guillaume - Ecole Polytechnique de Montreal, CIRAIG, Canada - 0000-0002-0151-2468

■ Kuczenski, Brandon - Inst. for Soc., Behav., and Econ. Research, University of California, USA - 0000-0003-1918-0825

■ Lupton, Rick - Use Less Group, University of Cambridge, UK - 0000-0001-8622-3085

■ Scherer, Laura - Inst. of Environ. Sci. (CML), Leiden University, NL - 0000-0002-0194-9942

■ Hertwich, Edgar - School of Forestry and Envir. Studies, Yale University, USA - 0000-0002-4934-3421

INOSIE – Objectives/goals

Industrial Ecology Open Science Project: A ‘bottom-up’ initiative for facilitating FAIR IE data as well as procedural transparency (Open Source/Workflow).Evolved from the Data Transparency Task Force (DTTF) of the ISIE / Journal of Industrial Ecology (JIE).

Main goals of INOSIE:1) Building an index repository for IE digital artefacts

● Establish an IE metadata set for a standardised description of IE digital research artefacts● Develop a repository for collecting this metadata

2) Promoting Open Science in IE research: ● Make FAIR principles known and followed in the IE community (presentations, tutorials).● Broadening our stakeholder list (Circular Economy, Resource Efficiency Researchers)● Connecting to adjunct fields like Integrated Assessment Modelling or Climate Modelling.● Explore ways to get more FAIR into (Inter)-national Statistical Agencies, Industries and policy development.

Expectations: How to get started?

Data Stewardship Wizard/Tools

• Topic: Data Stewardship Wizard

• (INterim) IN contact person: Robert Pergl

• Membership (preliminary): ■ Czech Technical University in Prague

Robert Pergl, Marek Suchánek, Vojtěch Knaisl, Jan Slifka

■ Dutch Techcentre for Life Sciences

Rob Hooft, Celia van Gelder, Mateusz Kuzak

■ Barend Mons

■ Luxembourg Centre for Systems Biomedicine

Roland Krause

■ Royal DSM N.V.

Wouter Touw, Renger Jellema

■ Mobiquity

Gerbrand Ruiter, Jan Groneman, Teun Schutte

https://ds-wizard.org

DSW – Objectives/goals

•

Main goal(s) to be achieved by the IN through GO FAIR (in 2019 and beyond)• Embedding in practice• Integrating DSW into the FAIR tools ecosystem• Extensions & customisations to support cutting-edge DMP preparation & emerging

standards

Coordination / Support expected from GFISCO• Formulating and coordinating pilots• Connecting us with potential users & facilitating• Assisting with integrating DSW into the FAIR tools ecosystem

Expectations from this meeting• Identifying & gathering needs & feedback from other INs

CO-OPERAS

• Topic: FAIRification of SSH• IN contact person: Elena Giglia, co-coordinator with Suzanne Dumouchel• Membership:

Marina Angelaki, Irakleitos Souyioultzoglou - National Hellenic Research Foundation/National Documentation Centre - GreeceLorenzo Armando - Lexis Compagnia Editoriale in Torino - ItalyJean-Pierre Caminade, former European Affairs Officer for Research Infrastructures at French Ministry of High Education and Research.Nicola Cavalli - Ledizioni - Milano - ItalyRon Dekker - CESSDA ERIC - NorwayFrancesca Di Donato, Federico Ruberti - Net7 srl - ItalySuzanne Dumouchel, Nicolas Larrousse - CNRS (Huma-Num) - FranceJennifer Edmond, DARIAH-EU - FranceEelco Ferwerda - OAPEN - NetherlandsElena Giglia, Angela Fedi - University of Turin - ItalyMichael Kaiser - Max Weber Stiftung - GermanyPeter Kraker - Open Knowledge Maps - AustriaDelfim Leão - University of Coimbra (UC Digitalis) - PortugalMaciej Maryl - Institute of Literary Research of the Polish Academy of Sciences (Digital Humanities Centre) - PolandPierre Mounier - EHESS (OpenEdition) - FranceTanja Niemann - Érudit.org - Montréal, CanadaAbel Packer - SciELO - São Paulo - BrasilPaulin Ribbe - Université Aix-Marseille - FranceGino Roncaglia - Università della Tuscia - Viterbo - ItalyMatevž Rudolf – Ljubljana University Press, Faculty of Arts - SloveniaLara Speicher - UCL Press, UKJadranka Stojanovski - University of Zadar / Ruđer Bošković Institute - Zadar / Zagreb - CroatiaAntónia Pedroso de Lima - CRIA / ISCTE-IUL Lisboa - PortugalAleš Pogačnik - Research Centre of the Slovenian Academy of Sciences and Arts (ZRC SAZU) - SloveniaDemmy Verbeke - KU Leuven - BelgiumEnrico Pasini, Ermanno Malaspina - Centro interdipartimentale per la digitalizzazione MeDiHum (presidente), Università di Torino, Italia

CO-OPERAS – Objectives/goals

■ Main goal(s) to be achieved by the IN through GO FAIR (in 2019 and beyond)CO-OPERAS aims to build a bridge between SSH data and the EOSC, widening the concept of “research data” to include all of the types of digital research output linked to scholarly communication that are, in SSH, part of the research process. The goal is to contribute to a better integration of SSH research objects into the EOSC, as a major component of the IFDS.The core strategy of CO-OPERAS IN is integration rather than fragmentation, and coordination rather than competition.CO-OPERAS IN building blocks are

▪ Discovery services, based on ISIDORE technology▪ Certification services, based on the Directory of Open Access Books (DOAB)▪ Research for Society collaboration service, based on Hypotheses blog platform▪ New services derived from HIRMEOS project deliverables (H2020 funded)

■ Coordination / Support expected from GFISCO support in building the IN (benchmark/suggestion from similar INs); coordination/synergies with other INs; how to “speak with one voice” at EU level

■ Expectations from this meetingwhat’s the plus in being a IN; the steps ahead: workplan? governance model? Will we have some help for that? Deadlines? How to proceed?

GO Inter

• Topic: Cross-Domain Interoperability• IN contact person: Peter Mutschke (GESIS - Leibniz Institute for the Social Sciences,

Cologne)

• Membership: tbd

• Coordination / Support expected from GFISCO: ■ Share knowledge and expertise

• Expectations from this meeting: ■ Networking■ Lessons Learned from other INs

GO Inter– Objectives/goals

Main goal(s) to be achieved by the IN through GO FAIR (in 2019 and beyond)■ cross-domain interoperability framework consisting of methods, tools and guidelines for

implementing and assessing semantic interoperability of research data across discipline borders■ reference implementations of interoperability for real-world cross-domain research uses case■ Engaging with other GO FAIR implementation networks and related initiatives

Primary Tasks:■ requirements for a cross-domain interoperability from real-world research use cases■ assistance services that guide data providers in bringing (meta)data into a common

representation format (such as W3C, LOD, RDA)■ ontologies lookup service that work as a gatekeeper across different standards and domains and

overcomes incongruences between different vocabularies■ qualified linking and annotating cross-domain research data by broadly applying technologies

from the semantic web, such as ontology crosswalks (such as LOV), smart ontology mapping, ontology alignment

■ semantically rich cross-domain research knowledge graphs that may better support cross-community data search and analysis

■ gradational maturity models for assessing cross-domain interoperability

Training Curriculum

• Topic: FAIR Data Stewardship Curriculum

• IN contact person: Mateusz Kuzak (Dutch Techcentre for Life Sciences)

• Membership: ■ DTL, ■ Maastricht University■ the Carpentries■ ELIXIR■ RDA■ CODATA■ TUDelft■ DANS■ Phortos Consultants, B.V.

Training Curriculum – Objectives/goals

● Purpose of the Implementation Network○ develop an open and scalable teaching materials for FAIR competencies.

● Overarching Principle of Operation○ Collaboratively develop an open, community led, lesson content, community, and

training framework modelled after the Carpenrtries.● Steps

○ defining skills and competencies○ defining the lessons○ recruiting the maintainers

■ training in (collaborative) curriculum development○ open content development○ appointment of Curriculum Advisory Committee○ certification

Season Schools

• Topic: Network of FAIR certified training events

• IN contact person: Valentina Presutti

• Membership: ■ training events, residential centers, research and academic organisations,

research infrastructuresInternational Semantic Web Research Summer SchoolCentro Residenziale Universitario di Bertinoro (IT)Consiglio Nazionale delle Ricerche (IT)Università di Bologna (IT)Karlsruhe Institute of Technology (DE)University of Koblenz-LandauSTI International (AT)DARIAHE-RIHS---

Season Schools – Objectives/goals

• What is a Season School (see for example http://www.semanticwebschool.org)

■ a short-term, excellent training event (3 days to 2 weeks)■ focusing on skill-building on FAIR data and services, and data stewardship■ open to international audience and seeking gender balance■ implementing an engaging pedagogical approach

• Main goal(s) to be achieved by the IN through GO FAIR (in 2019 and beyond)

■ Building a FAIR knowledge graph of training resources: trainers, students, teaching venues, materials, data, example problems and student assessments

■ Building a network and a catalogue of Season Schools■ Developing long-term sustainability for a global network of Season Schools■ Deploying FAIR pedagogical models and good practices

• Coordination / Support expected from GFISCO

■ Networking, guidelines, communication, dedicated meetings • Expectations from this meeting

■ Identifying synergies with the other INs■ Populate the IN and have a clear execution plan

GO NANO

• Topic: Nanotechnologies (Nanofabrication)

• IN contact person: Michel de Labachelerie

• Membership: ■ NORFAB - Noeway

■ MyFAB - Sweden

■ NANOLABNL - The Netherlands

■ RENATECH - France

■ CEITEC - Czech Republic

■ CNR - Italy

■ INL - Portugal & Spain

GO NANO – Objectives/goals

■ Main goal(s) to be achieved by the IN through GO FAIR (in 2019 and beyond)GO NANO is dedicated to the management of Nano FABRICATION (NF) data.

- For each NanoFabrication process and each sample, many machines parameters should be stored. The fabrication result for a given sample depends on the specific machines that have been used and also to the history of each machine.

- Considering the time required to develop a NF process, true reusability of previous data is highly desirable

- 1st goal : identify pertinent parameters to store in order to ensure reusability- 2nd goal : build a pertinent data storage architecture- 3rd goal : Work on data access and management policy

- 4th goal : organize the storage and collection of data ■ Coordination / Support expected from GFISCO

- Learn how to implement FAIR data principles : guidelines and networking needed■ Expectations from this meeting

- Best practice sharing with people that have the same kind of problems as ours

- Understand already existing IT tools for implementation

NOMAD

• Topic: The Novel Materials Discovery (NOMAD) Laboratory

• IN contact person: Peter Wittenburg

• Membership: ■ MPG FHI Berlin

■ HU Berlin

■ MPCDF Garching

■ BSC Barcelona

■ etc.

NOMAD – Objectives/goals

NOMAD - Objectives/goals

•NOMAD is a community-driven effort to store, normalize and provide computational materials-science data•NOMAD’spurpose is to make the data storage possible according to the rules of good scientific practice and to allow data-mining approaches using AI methods•NOMAD wants to connect to and initiate other repositories in neighboring areas of natural and computer sciences, e.g. experimental materials science, computational chemistry, etc.•NOMAD is currently in a consolidation phase “refactoring” (new release (2.0) planned for mid 2019)•NOMAD‘sdesign was such thatitiswidelyFAIR compliant(useofDOIs/Handles, explicit metadata, open/freereuse,definedprotocols, etc.) (publicationin progress)

Discovery

• Topic: Open Interfaces for Increased Visibility of Research Results

• IN contact person: Peter Kraker

• Membership: Personal members:Jonathan Jeschke - Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB) & Institute of Biology, Freie Universität BerlinTina Heger - University of Potsdam and Technical University of Munich

Organisational members:

Open Knowledge Maps (lead) Know-Center

Berlin School of Library and Information Science, HU Berlin Net7

CESSDA ERIC NIOO-KNAW

CORE OpenAIRE

DataCite OPERAS

EUDAT ReFigure

HIIG Scholia

Hypothes.is TIB - Leibniz Information Centre for Science and Technology

Impactstory ZBW - Leibniz Information Centre for Economics

Discovery – Objectives/goals

Rationale• Discoverability is a key challenge: up to 85% of research data is not reused (Peters et al. 2016)

• Lack of adequate user interfaces for data discovery, with many market entrants following a closed/proprietary model that prevents innovation

Purpose and objectives: • Provide user interfaces and other user-facing services for data discovery across

disciplines• Explore new and innovative ways of enabling discovery • Apply user involvement and participatory design, going beyond academia• Create FAIR and open infrastructures

Main tasks• Stocktaking: Identifying relevant indices, interfaces, and services to be (re-)used• Structuring: Defining the standards and structure of an open ecosystem for discovery• Implementation: Working towards implementation of the ecosystem

Metabolomics

• Topic: Metabolomics

• IN contact person: Merlijn van Rijswijk (vanrijswijk@metabolomicscentre.nl)

• Membership (already active, we are open for others to join): ■ European Metabolomics Infrastructure Foundation / University of Jena (Chris Steinbeck)■ European Metabolomics Infrastructure Foundation / Leiden University (Thomas Hankemeier, Michael van Vliet)■ European Metabolomics Infrastructure Foundation / CEA (Christophe Junot)■ European Metabolomics Infrastructure Foundation / Netherlands Metabolomics Centre (Merlijn van Rijswijk)■ EMBL-EBI / ELIXIR Metabolomics Community (Claire o’Donovan) ■ de.NBI / iDiv / IPB Halle (Steffen Neumann, Kristian Peters)■ University of Oxford e-Research Centre (Philippe Rocca-Serra)■ Uppsala University (Ola Spjuth, Kim Kultima)■ Maastricht University (Chris Evelo, Egon Willighagen)■ TNO (Jildau Bouwman)■ Janssen Pharmaceuticals (Herman van Vlijmen)■ The Hyve (Kees van Bochove)■ Micelio (Andra Waagmeester)■ Euretos (Arie Baak)■ DSM (Sergio Rossell)

Metabolomics – Objectives/goals

• Main goal(s) to be achieved by the IN through GO FAIR (in 2019 and beyond)■ Collectively implement standards compliance around the FAIR principles with the

wider research community and to actively communicate these (FAIR at the source)■ Work closely together with other life sciences communities on better capturing and

understanding phenotypes enabling integrated approaches■ Support the GO FAIR initiative with the widespread implementation of the FAIR

principles in the European Open Science Cloud, contributing to a global open internet of FAIR data and services

■ Extend FAIR criteria for tools and workflows + provide technical implementation• Coordination / Support expected from GFISCO

■ Network activities, action-oriented meetings (hackathons, dedicated workshops)• Expectations from this meeting

■ Learning from other INs and making new friends■ Formation of working groups on common themes across INs

Food Systems

• Topic: Agriculture and Food■ Realising a Global Data Ecosystem for Agriculture and Food using semantics

(Agrisemantics) and open data (GODAN) and start implementing the FAIR data principles in Food Systems (for example as shown by the Farm Data Train)

• IN contact person: Ben Schaap (GODAN / Wageningen UR), Odile Hologne (INRA)

• Membership (preliminary):

Food Systems – Objectives/goals

• Suggested topics:■ Main goal(s) to be achieved by the IN through GO FAIR (in 2019 and beyond)

▪ Support adoption of principles for semantic interoperability (derived from the RDA Agrisemantics WG and GODAN

WGs) in the various projects and actions members of the IN are involved in;

▪ Clearly establish the value of semantic approaches to agri-food data and services FAIRification through a set of

publicly-available use cases, and common communication resources;

▪ Create and maintain a Food Systems Collection in FAIRsharing

▪ Continue the development and adoption of a Global Agricultural Concept Space (GACS) as a pre-competitive

resource in which each agri-food concept receives a unique and persistent identifier

■ Coordination / Support expected from GFISCO ▪ Guidance and timeline on what to expect from the GO-FAIR office in support (training, advocacy etc.), but also what

GFISCO expects from the IN's. Especially advocacy support in domain specific government departments is needed.▪ Expertise in practical implementations and applications of semantic interoperability▪ Support & contacts preparing proposals for funding

■ Expectations from this meeting ▪ We would like to learn from other IN's: we are particularly interested in INs proposing or investigating semantic

solutions (ontologies, linked data, alignments, etc.) to address data discoverability and interoperability, in combination with practical/research applications.

▪ Suggestions for first steps establishing this IN

• Topic: Biodiversity

• IN contact person: Anne-Sophie Archambeau, Yvan Le Bras

• Membership: ■ Eric Chenin, ■ Jean-Christophe Desconnet,■ Philippe Grandcolas, ■ Michel Guiraud, ■ Frédéric Huyn,■ Marc Pignal, ■ Jean-Denis Vigne,■ Régine Vignes-Lebbe

BiodiFAIRse

BiodiFAIRse – Objectives/goals

■ Main goal(s) to be achieved by the IN through GO FAIR (in 2019 and beyond)▪ Biodiversity communities state-of-the-art: Gather informations about a) standards and mapping, b)

data & metadata IT solutions & existing implementation, c) workflow oriented products and d) training topics and infrastructures on Ecology field

▪ Address FAIRization challenges

• Data/Metadata/Tools/workflows: Develop a collaborative open-source web platform dedicated to

ecological data access and analysis using scientific workflows, based on selected workflows

• Trainings: Increase training activities impact (in term of coordination, number of trainees and quality of

material) + Ameliorate accessibility, curation, collaboration of training material

▪ Small scale initiatives promotion

▪ Investigate «future» challenges

• Towards live and operationalized Data Management Plan

• From DOI to intrinsec ID (based on Software Heritage initiative for software)

■ Coordination / Support expected from GFISCO ▪ Networking

■ Expectations from this meeting ▪ Have informations about other IN and see which connections can be made

BiodiFAIRse – References

■ References▪ RDA FAIR Data Action Plan

▪ RDA Turning FAIR data into reality

▪ RDA FAIR data maturity model wg

▪ FAIRsharing

▪ Software Heritage▪ Global Biodiversity Information Facility (GBIF)▪ Biodiversity Information Standards (TDWG)

▪ Jimenez et al (2017) Four simple recommendations to encourage best practices in research software

▪ Grüning et al. (2018) Practical Computational Reproducibility in the Life Sciences

▪ Mangul et al. (2018) A comprehensive analysis of the usablity & archival stability of omics computational tools & resources

▪ Batut et al. (2018) Community-Driven Data Analysis Training for Biology

GeRDI

• Topic: Development of a Generic Research Data Infrastructure (GeRDI)

• IN contact person: Jakob Tendel

• Membership: ■ ZBW■ Kiel University■ Dresden University■ Leibniz Supercomputing Centre■ German Research Network DFN

GeRDI – Objectives/goals

• Suggested topics:■ Main goal(s) to be achieved by the IN through GO FAIR (in 2019 and beyond)

▪ Identify commonality with other INs• Technology/standards• Organisational/legal/financial project topics

■ Coordination / Support expected from GFISCO▪ Hopefully, help in identifying these useful partners

■ Expectations from this meeting▪ Meeting and learning about all other attending INs

RDs GO FAIR

• Topic: Rare Diseases (RDs) IN• IN contact person: Marco Roos• Membership:

Seed group:

■ Virginie Bros-Facer, EURORDIS-Rare Diseases Europe, https://www.eurordis.org/person/virginie-bros

■ Claudio Carta, National Centre for Rare Diseases, Istituto Superiore di Sanità, https://orcid.org/0000-0003-3545-198X

■ Ronald Cornet, Amsterdam UMC, University of Amsterdam, Medical Informatics, Amsterdam Public Health Research Institute, https://orcid.org/0000-0002-1704-5980

■ David van Enckevort, UMCG, University of Groningen, NL, https://orcid.org/0000-0002-2440-3993

■ Gulcin Gumus, EURORDIS-Rare Diseases Europe

■ Marc Hanauer, INSERM US14 Orphanet, FR, https://orcid.org/0000-0002-6758-2506

■ Ian Harrow, Ian Harrow Consulting, UK, https://orcid.org/0000-0003-0109-0522

■ Victoria Hedley, Newcastle University, UK, https://orcid.org/0000-0002-4437-2469

■ Dipak Kalra,University College London, https://orcid.org/0000-0002-2998-9882

■ Veronica Maria Popa, President Andreas-Rares Association, chair MCT8-AHDS Foundation

■ Ana Rath, INSERM US14 Orphanet, FR, https://orcid.org/0000-0003-4308-6337

■ Marco Roos, Leiden University Medical Centre, NL, https://orcid.org/0000-0002-8691-772X

■ Yaffa Rubinstein, Special volunteer, National Library of Medicine, NIH

■ Rachel Thompson, Newcastle University, UK, https://orcid.org/0000-0002-6889-0121

■ Mark D Wilkinson, CBGP UPM-INIA, Madrid, Spain, https://orcid.org/0000-0001-6960-357X

Initial liaisons

■ Annika Jacobsen, Leiden University Medical Center, https://orcid.org/0000-0003-4818-2360

■ Mark Thompson, Leiden University Medical Center

■ Domenica Taruscio, National Centre for Rare Diseases, Istituto Superiore di Sanità, https://orcid.org/0000-0001-5403-233X

■ Peter-Bram ‘t Hoen, Radboudumc Nijmegen, The Netherlands, https://orcid.org/0000-0003-4450-3112

10 objectives toFoster and strategically

oversee transition to FAIR principles by the rare disease

community...towards collecting a critical mass of FAIR data

Enable support, define sustainable FAIRification service strategyEnsure rare disease patients and patient representatives are engagedEnsure FAIR sharing is respectful and responsible towards patients

Stimulate FAIRness assessment of rare disease resourcesEnsure standards are identified, aligned, extended, not reinventedIdentify overlap/duplication of effort towards implementing FAIR

Foster examples of answering key questions beyond current capabilitiesEnsure analytics are capable of exploiting FAIR data

Ensure RD analytical tools are available through FAIR repositories(abbreviated objectives for presentation purposes!)

Position in middle of community and infrastructures

Lightweight organisation liaising with community representatives

and training & building programsBuild on & stimulate train and build networks

(GO TRAIN, GO BUILD, GA4GH, ELIXIR, BBMRI, EJPRD, etcetera)

Address international goals of the rare disease community for accelerated efficiency of global

rare disease data analysis

Rare Diseases

All people living with a rare disease receive an accurate diagnosis, care, and available therapy within one year of coming to medical attention

Respectful = use my data, make them as usable as possible,

inform me, involve me! ELIXIR

RD FAIR data TF

ERNs

EJPRD

ELSIexperts

NIH

Patient

Immunisation IS

• Topic: Immunisation Information System/Vaccine Register IN

• IN contact person: Tyra Grove Krause

• Membership: Tbd Expression of interest from following Public Health Institutes

■ Statens Serum Institut, Denmark ■ RIVM, Netherlands■ THL, Finland■ Folkehelseinstituttet, Norway■ Croatien Institute of Public Health, Croatia

Immunisation IN – Objectives/goals

• Suggested topics:■ Main goal(s) to be achieved by the IN through GO FAIR (in 2019 and beyond)

▪ Learn more about the FAIRification process and resources needed▪ Engage members and stakeholders (ECDC, EMA)▪ Work on IN manifesto

■ Coordination / Support expected from GFISCO ▪ Share knowledge and expertise ▪ Bridging to other INs▪ Facilitating meetings

■ Expectations from this meeting ▪ Networking▪ Learn from other INs

OPEDAS

• Topic: (FAIRifying) Other PEople’s Data And Services▪ Sharing pre-competitive FAIR resources

• Common libraries, training material, use-cases, best-practices, etc.• IN contact person: Mark Wilkinson

• Membership: ● Mark Wilkinson Laurenz Baltzer ● Susanna-Assunta Sansone ● Kees van Bochove ● Astrid Engelen-Visser ● Mark Musen● George Strawn● Albert Mons ● Arie Baak● Annika Jacobsen ● Christine Kirkpatrick ● Wouter Haak ● Helena Cousijn● Erik Schultes ● Peter McQuilton

● Ruben Kok ● Peter Doorn● Michel Dumontier ● Chris Evelo● Andra Waagmeester● Tobias Kuhn ● Derk Arts● Myles Axton● Mark Hahnel● Maryan Martone ● Merce Crosas● Richard Finkers● Jildau Bouwman ● Marco Roos

OPEDAS – Objectives/goals

● Main goal(s) for this year○ Enhanced FAIR Metrics and fully-automated suite of FAIR Metric Tests + documentation○ High QoS Support/libraries for Nanopublications○ Enhanced support for FAIR DataPoint (e.g. using Linked Data Platform) and tutorials○ Expansion of FAIRsharing: FAIRassist tool & promotion of it’s support role (for metrics and for

standards and data resources in ALL INs!)○ Partner with journals (e.g. Data Science, Data Intelligence, BMC NeuroCommons)○ Enhance awareness of professional-grade FAIRification tooling (A Mons, et al, GFISCO)○ FAIR Training (ELIXIR) and Hackathons

● Coordination / Support expected from GFISCO ○ TBD through discussions at this meeting

● Expectations from this meeting ○ More feedback on the utility/validity/fairness of the FAIR Metrics, beyond key providers’ input

(Dataverse, FigShare, Zenodo, ++) who participated in the questionnaire○ Greater networking v.v. pre-competitive ‘products’ available for OPEDAS members○ Discussion of additional membership invitations○ Awareness of the requirements of other INs

Our adopters, collaborators and users from

academia, industry, funders, standards

organizations, infrastructure providers and

scholarly publishers include:

Community paper: doi.org/10.1101/245183

Represented at this meeting by:

Pete McQuilton,

Philippe Rocca-Serra,

Susanna-Assunta Sansone

(University of Oxford)

FAIR-supporting informative and educational resource providing:

● a registry on data standards, repositories and policy,

● alongside classification, search and visualization tools and services

We work with providers and consumers of standards, repositories

and policies to

● Accelerate the discovery, selection and use of their resources

● Increase their visibility, reuse, adoption and citation

We contribute to other GO-FAIR INs and activities and interoperate

with other FAIR-enabling services…….

Community paper: doi.org/10.1101/245183

Overview and missionOur adopters, collaborators and users from

academia, industry, funders, standards

organizations, infrastructure providers and

scholarly publishers include:

by FAIRmetrics.org by NIH Data Commons

Community paper: doi.org/10.1101/245183

For the FAIR metrics (OPEDAS), FAIRsharing is acting as a:

● Registry for databases/repositories, standards, policies, enhancing their discoverability (schema.org), citability (DOIs)

● Look up service for identifier schemas and metadata standards● (planned) Validation service against metadata standards (M4M)

It also interoperates with FAIR assessment tools, currently:

Role in the FAIR metrics and related toolsOur adopters, collaborators and users from

academia, industry, funders, standards

organizations, infrastructure providers and

scholarly publishers include:

Register your GO-FAIR IN’s standards and/or data resources in

FAIRsharing; and we will:

● Help describe your resources for maximum discovery

● Interlink your resources with relevant others in network graphs

Community paper: doi.org/10.1101/245183

Role as registry of INs-related data assets

We have already started to work with the Metabolomics and the

Chemistry INs

Our adopters, collaborators and users from

academia, industry, funders, standards

organizations, infrastructure providers and

scholarly publishers include:

Community paper: doi.org/10.1101/245183

Role in data management plans and tools

MoU with the Data Stewardship Wizard to serve as the content provider for repositories, standards and data policies● More discussion in the GO-FAIR FAIR Wizard of

Science Europe meeting

New educational tools (DMP and FAIRification) as part of EOSC-Life and IMI FAIRplus (pharma-funded) projects

FAIRsharing is a use case in this report

FAIRsharing is one of the few recommended resource in this EOSC

expert report

Our adopters, collaborators and users from

academia, industry, funders, standards

organizations, infrastructure providers and

scholarly publishers include: