Research Data Alliance and European Open Science Cloud Collaboration Overview

The Research Data Alliance (RDA) & The Research Data Alliance (RDA) & the European Open Science Cloud (EOSC) the European Open Science Cloud (EOSC) EDIT EDIT HERCZOG HERCZOG RESEARCH DATA ALLIANCE COUNCIL RESEARCH DATA ALLIANCE COUNCIL RDA EUROPE RDA EUROPE https://rd-alliance.org/

Vision Researchers and innovators openly share data across technologies, disciplines, and countries to address the grand challenges of society. Mission RDA builds the social and technical bridges social and technical bridges that enable open sharing of data. The EOSC Declaration cites RDA: TheResearch Data Alliance, CODATA, DDI Alliance and other organisations active in the research communities must be used as forums to reach consensus on practical implementation of FAIR data principles at European and global level. WWW.RD-ALLIANCE.ORG @RESDATALL CC BY-SA 4.0

RDAs value- proposition for EOSC RDA is a global forum that facilitates research data interoperability: Research data sharing without barriers RDA is the neutral place to meet international research data experts, and exchange on topics at the heart of the EOSC, e.g. data culture, education and training, data management plans, data repositories... The EOSC community can adopt the RDA recommendations & outputs, and learn from the past experiences of the early adopters and RDA contributors in building EOSC like services, structures or framework. The EOSC community can leverage the problem-solving structure of RDA by initiating an RDA group on a specific issue they face, and get help from the RDA community to find solutions. RDA ICT Technical Specifications concrete solutions that can be referenced in public procurement RDA is in a unique position to synchronise between the national, European, disciplinary and sector stakeholders to support the transition toward FAIR data. The RDA approach is focused on overcoming concrete barriers & building data bridges.

A consolidated, growing global forum RDA is a direct membership organisation with up to 6,285 individual members of 50% of which from the EU RDA covers all Data lifecycle stages, engaging Data producers, users and stewards, addressing Data exchange, processing and storage; RDA is an strategic partner to represent the data community in EOSC and to help consolidate it further, increase awareness around key topics and stakeholder categories RDA incorporates about 25+ domain research groups - RDA can be used to achieve progress in thematic areas that need to have a global approach such as marine solutions, agriculture and food, climate change, astronomy and earth observation. RDA Europe has managed to bring delegates from 47 large research infrastructures together (GEDE) to address practical problems in infrastructure building. Due to its nature RDA already has a global and cross-disciplinary outreach it is a grass-roots organisation building on the work of volunteers committed to tackle data emerging data sharing challenges

RDA Interest (IG) & Working Groups (WG) by Focus 30 Working Groups & 59 Interest Groups Overall Total 89 groups: Domain Science - focused Agrisemantics WG BioSharing Registry WG Fisheries Data Interoperability WG On-Farm Data Sharing (OFDS) WG Rice Data Interoperability WG Wheat Data Interoperability WG Agricultural Data IG (IGAD) Biodiversity Data Integration IG Chemistry Research Data IG Digital Practices in History and Ethnography IG Geospatial IG Global Water Information IG Health Data IG Linguistics Data Interest Group Mapping the Landscape IG Marine Data Harmonization IG Quality of Urban Life IG RDA/CODATA Materials Data, Infrastructure & Interoperability IG Research data needs of the Photon and Neutron Science community IG Small Unmanned Aircraft Systems Data IG Structural Biology IG Weather, Climate and air quality IG Data for Development IG Development of Cloud Computing Capacity and Education in Developing World Research IG Early Career and Engagement IG Education and Training on handling of research data IG Ethics and Social Aspects of Data IG International Indigenous Data Sovereignty IG Community Needs - focused Certification and Accreditation for Data Science Training and Education WG RDA/CODATA Summer Schools in Data Science and Cloud Computing in the Developing World WG Teaching TDM on Education and Skill Development WG Archives & Records Professionals for Research Data IG WWW.RD-ALLIANCE.ORG @RESDATALL rd rd- -alliance.org/groups alliance.org/groups CC BY-SA 4.0

Cross-Mapping Activity RDA has taken 5 major Focus Areas of the EOSC Declaration: Data culture and Skills; Standards; Data Management Plans; Technical Implementation; Data Repositories cross-mapping them with indicated RDA Recommendations, outputs and key activities, suggesting next steps for the RDA & EOSC future synergy

Data Culture and Skills RDA Activities, Recommendations & Outputs EOSC Declaration The work of RDA has been centered around the vision of a global data culture, building the social and technical bridges to enable data sharing . RDA addresses key topics related to education in Data and Open science and provides supporting resources for that: Framework for Summer Schools in Data Science and Cloud Computing, 23 Things: Libraries For Research Data RDA EU training programme including workshops, training meetings & webinars The existing RDA WGs & IGs, below promote the importance of data science & management skills and education and address current gaps: Teaching TDM on Education and Skill Development WG Education and Training on handling of research data IG Development of cloud computing capacity and education in developing world research IG Certification and Accreditation for Data Science Training and Education WG European science must be grounded in a common culture of data stewardship, so that research data is recognised as a significant output of research and is appropriately curated throughout and after the period conducting the research. Only a considerable cultural change will enable long-term reuse for science and for innovation of data created by research activities: no disciplines, institutions or countries must be left behind. The necessary skills and education in research data management, data stewardship and data science should be provided throughout the EU as part of higher education, the training system and on-the-job best practice in the industry. University associations, research organisations, research libraries and other educational brokers play an important role but they need substantial support from the European Commission and the Member States. Common RDA & EOSC approach to awareness raising, consolidating the data culture and promoting the importance of training & education in data science and data stewardship EOSC can leverage on the resources made available by RDA and the delivery channels and formats: workshops, training meetings & webinars and courses

Standards RDA Activities, Recommendations & Outputs EOSC Declaration RDA is an open forum for researchers to reach consensus on interoperability issues related to their data. It is the reference place to submit questions to a multi-disciplinary community and discuss solutions RDA publishes recommendations and outputs for data sharing developed through a grass-roots process by its members in all four aspects: technical, semantic, legal and organisational. 4 RDA recommendations have been published as ICT technical specifications so far and can be referenced in public procurement https://ec.europa.eu/growth/industry/digital- transformation/ict-standardisation/ict-technical- specifications_en RDA provides examples implementation of the Recommendations/ technical specifications/best practices to further validate the process and ensure the solutions solve real barriers to data interoperability and sharing The EOSC must be underpinned by minimal and rigorous global standards for open research data, as well as standards for EOSC based services for collaboration through the EOSC (e.g. to facilitate inter-disciplinarity and avoid fragmentation). These standards (technical, semantic, legal and organisational) must combine long-term sustainability with optimal freedom of local implementation. They should be jointly defined by the research communities, taking into account existing instruments (e.g. EU Rolling Plan on ICT Standardisation). Cross-disciplinary agreements/protocols will lead to specific standards, inspired directly by relevant domain specific needs. Variations across scientific disciplines and their specific efforts of making research data open and FAIR should be respected. of adoption and EOSC can leverage the RDA problem-oriented and consensus building approach, contribute to RDA existing groups or create new ones in areas needing standardisation, benefitting from a neutral forum with international expertise As EOSC will federate existing resources across national data centers, EU e-Infrastructures and research infrastructures, fostering compatibility between systems, openness & interoperability

Data Management Plans RDA Activities, Recommendations & Outputs EOSC Declaration Data Management Plans is a recurring and central topic of RDA, with a growing list of groups addressing challenges related to them: DMP Common Standards Working Group Exposing Data Management Plans Working Group Active Data Management Plans Interest Group A key element of good data management is a Data Management Plan (DMP); the use of DMPs should become obligatory in all research projects generating or collecting publicly funded research data, based on online tools conforming to common methodologies. List of Recommendations and Outputs: Machine Actionable Policy Templates Workflows for Research Data Publishing: Models and Key Components 23 Things: Libraries For Research Data Funder and institutional requirements must be aligned and minimum conditions for DMPs must be defined. Researchers' host institutions have a responsibility to oversee and complete the DMPs and hand them over to data repositories. EOSC can leverage the RDA as an observatory of the international practices and developments in terms of Data Management Plans Build EOSC DMPs on top of the RDA recommendations cited above, that are backed and tested by a large and diverse community of researchers.

Data Repositories RDA Activities, Recommendations & Outputs EOSC Declaration Many members of RDA work for Research Data Repositories, and the most relevant and up-to-date repository challenges are discussed and solved through the work of focused RDA WGs and IGs Research Data Repository Interoperability Working Group Domain Repositories Interest Group RDA/WDS Certification of Digital Repositories Interest Group Repository Platforms for Research Data Interest Group RDA covers a large spectrum of aspects concerning repositories: the technical requirements, the visibility, the interoperability, the accessibility, certification etc. List of readily available Recommendations and Outputs: Repository Audit and Certification Catalogues Data Description Registry Interoperability Model Matrix of use cases and functional requirements for research data repository platforms GEDE has gathered valuable contributions from reps. From all large repositories Trusted research data repositories play a fundamental role in modern science. Scientist must be able to find, re- use, deposit and share data via trusted data repositories that implement FAIR data principles and that ensure long-term sustainability of research data across all disciplines. Data repositories must be easy to find and identify, and provide to users full transparency about their services. EOSC should incorporate the readily available RDA Recommendations and overall outputs & peruse the best practices for like-minded solutions related to all stages of a repository s set-up, certification and use

Technical Implementation RDA Activities, Recommendations & Outputs EOSC Declaration Contribute to or adopt the work of key RDA groups such as: Data Type Registries WG Data Foundation & Terminology IG Vocabulary Services IG While FAIR data must be implemented as part of good data governance at this highest possible level (e.g. certification, institutional implementation and support, as describe above), researchers also need handy tools to make data FAIR. These include: [Citation system] A data citation system should be put in place to reward the provision of excellent open data. This will assist both the assessment of researchers and their projects, and help implementing the findability, accessibility, interoperability and reusability of research data. [Common catalogues] There must be catalogues (e.g. for datasets, services, standards) based on machine readable metadata and identifiable by means of a common and persistent identification mechanism that will make research data findable via an 'EOSC Portal'.. [Semantic layer] Research data must be both syntactically and semantically understandable, allowing meaningful data exchange and reuse among scientific disciplines and countries. [FAIR tools and services] Easy access must be available to a common set of FAIR tools and services, to guide the curation of FAIR data for re- use and to assess FAIR compliance. List of readily available Recommendations and Outputs: Metadata Standards Catalog WG Data Citation WG Practical policies The EOSC community to review RDA adoption use cases to benefit from others experience in building FAIR tools. RDA to support the growth a network of experts and find the best people to contribute to building EOSC. RDA is contributing to the work of the EC s FAIR expert group EOSC to take advantage of the global and cross-disciplinary approach of RDA which synchronizes between national and pan-European perspectives and best practices while also leveraging collaborations with initiatives that share the same goals : Go-FAIR, CODAT , ITU etc.

RDA Global Email - enquiries@rd-alliance.org Web - www.rd-alliance.org Twitter - @resdatall LinkedIn - www.linkedin.com/in/ResearchDataAlliance Slideshare - http://www.slideshare.net/ResearchDataAlliance WWW.RD-ALLIANCE.ORG/ @RESDATALL RDA Europe Communication & Engagement: Timea Biro t.biro@trust-itservices.com Twitter - @RDA_Europe RDA US Twitter - @RDA_US