LCT: Researchers and research organisations
RePol: Repository owners, service providers in general, or any website owners
RoLECT: Researchers, research organisations and various services providers.

Interdisciplinary collaborations: Networks, services, methods
Sustaining Open infrastructures, services and tools for research communities
Training and skills for open science
European Open Science Cloud (EOSC) and FAIR data
Citizen science: barriers and opportunities for collaboration

EOSC RoP, IPR, Certification, ORDM, Licensing, Privacy Policy, FAIR, legal, ethics, compliance

The demo session will cover technical solutions developed by NI4OS-Europe partners to support the practices of EOSC stakeholders, including the global research community working in Open and FAIR ecosystems. Brief overviews for the tools realization will be provided while pointing out their significance in RDM workflows at both strategic/policy and practical implementation levels. The session is intended for an audience aware of research practices, the research lifecycle, EOSC resources onboarding, FAIR principles and will be particularly interesting for individuals dealing with EOSC RoP. The tools are:

1. License Clearance Tool - LCT (https://lct.ni4os.eu/) that ensures maximal re-use of derivative works. LCT facilitates and automates the clearance of research outputs' copyright before they are released under an open license and/or stored at a public and trusted FAIR-enabling repository. It provides a guided approach for establishing the proper open-source license required for derivative datasets, media, software etc. or for the reuse of unlicensed content. Target audience is mainly researchers and research organisations.
2. Repository Policy Generator - RePOL (https://repol.ni4os.eu/) that offers a guided approach to creating machine readable data repository policies and privacy policies. It uses a step-by-step wizard and predefined policy clauses formulated in line with the current best practice (FAIR, preservation, licensing, , privacy provisions, GDPR, etc.) Targets mainly repository owners and administrators, though generated privacy policies are suitable for any kind of service.
3. EOSC RoP Legal & Ethics Compliance – RoLECT (https://rolect.ni4os.eu/) that offers scientific resource providers with an intuitive self-assessment against EOSC RoP. RoLECT prepares potential providers for their compliance with legal and ethical measures as required in the EOSC RoP, which they must meet as ‘EOSC providers’. Legal and ethics are two important RoP aspects that require particular focus due to their nature and associated difficulties and have not yet been addressed adequately from other FAIR-related tools.

Agenda

• Welcome & Introduction - Christos Liatas, Athena Research Center 
• EOSC RoP Legal & Ethics Compliance (RoLECT) - Marianna Katrakazi, Athena Research Center  [presentation]
• License Clearance Tool (LCT) - Panagiota Koltsida, Athena Research Center [presentation]
• Repository Policy Generator (RePOL) - Branko Marovic, University of Belgrade  [presentation]
• Q&A

Libraries, research administrators, Open Science Infrastructure providers, funders

Competence centers: models, integration and coordination, Skills within the wider research context, Sustaining open science training: people, resources, governance

Open access, Books/monographs, Toolkit, Licensing, Funding, Peer review, OA business models, OA book publishing services

While open access (OA) book publishing is on the rise, a number of challenges persist, such as a lack of awareness and misconceptions about OA book publishing amongst authors. To help authors better understand OA for books and increase trust in OA book publishing, OAPEN has created a community governed, free-to-use online resource for book authors: The OAPEN Open Access Books Toolkit. It was launched in October 2020 and has been adopted by authors, libraries, and research support teams across the Globe.

The toolkit provides reliable information, relevant both for researchers and those supporting researchers. It offers guidance at different stages of the research life cycle, such as planning and funding and publishing options.

This session will offer a tour through the toolkit showing how it works and zooming in on a few key topics like funding, quality assurance, licensing, and publishing services in the OA book publishing process.

The aim is that delegates will come away inspired and equipped to use the toolkit and/or to support authors in their own organisations.

researchers, data stewards, research performing organisations, and research funders

Skills within the wider research context, Sustaining open science training: people, resources, governance

FAIR, Training, Self-assessment, Awareness, FAIR Skills, FAIR Literacy

During this demo session, we will launch the new trainer functionality of the FAIR-Aware tool. FAIR-Aware (https://fairaware.dans.knaw.nl/) is an online self-assessment tool that helps users assess their knowledge on how to make their data(set) FAIR before depositing it in a repository. It is the first step in creating FAIR data, focussing on fostering awareness and willingness to comply with the FAIR data principles. The tool is discipline-agnostic and useful for anyone working with data (e.g., researchers, data stewards, research performing organisations, or funders), which makes it suitable for training in any context. Using the new trainer functionality, you can now easily use the tool for your own user bases and quickly and easily interpret the results. The demo session will walk the audience through the process from start to finish and show how to use the relevant materials. There will be room for Q&A and discussion at the end.

Agenda

• Welcome
• Introduction to FAIR-Aware tool -  Linas Cepinskas, DANS , [presentation]
• FAIR-Aware for Training - Maaike Verburg, DANS [presentation]
• Q&A

Researchers, infrastructures and research communities, repository managers, content providers, libraries, research administrators.

Interdisciplinary collaborations: Networks, services, methods
Sustaining Open infrastructures, services and tools for research communities
European Open Science Cloud (EOSC) and FAIR data

Discoverability, Disambiguation, data curation, interoperability

Organizations variously involved in the scientific work usually appear with a variety of names, identifiers, and metadata information in all the different data sources working in the context of scholarly communication. This ambiguity results in a considerable efficiency problem in the exchange of information, the findability of research products, and the monitoring of activities. 

OpenOrgs is a tool developed to address this ambiguity affecting the information aggregated by OpenAIRE from different research organization registries (e.g., ROR, EC) and populating the OpenAIRE Research Graph. 

It works in two steps: first, an algorithm automatically detects identities between organizations appearing in different data sources, with different names, metadata information, PIDs and so on. Second, a process of manual curatorship corroborates the automated process. Data curators can in fact resolve the ambiguity of duplicates detected with the automated process by stating whether two or more entities correspond or not to the same organization. They can also enrich metadata and eventually suggest new duplicates, thus improving the automated process. 

In the demo session, we will introduce OpenOrgs and we will show how this tool works, how users can interact with its functionalities and thus feed a disambiguation system necessary to build a robust Open Science ecosystem.

Agenda

• Welcome
• Introduction, Claudio Atzori, CNR [presentation]
• Live demo, Gina Pavone, CNR [presentation]
• Q&A

Trainers, researchers, EOSC, research data managers

Assessment frameworks for trainers and researchers, Competence centers: models, integration and coordination, Skills within the wider research context, Sustaining open science training: people, resources, governance

train-the-trainer, best practices, open science, EOSC, FAIR

EOSC Synergy offers a wide range of practical tools for the research community and trainers. It is the goal of the project team to contribute to sustaining open science practices and strengthening skills for better science. The objective of the lightning talk is to showcase the training materials and resources and inspire trainers to use them for their training activities.

In line with the above, the lightning talk will give a preview of the train-the-trainer online course developed to support trainers in creating online teaching and learning materials using best practices following EOSC Synergy’s assurance guidelines. Topics, such as online learning design, learning activities, content format, delivery and tools are covered in the course and will be briefly introduced during the talk.

The second demonstration will include an introductory online course on Open Science, EOSC and research data management. This course was developed as an example material, and it can be reused for training purposes. The distinctive advantage of the course is showcasing the practical benefits of the European Open Science Cloud and related initiatives. 

EOSC Synergy has the goal to expand the capacity and capabilities of EOSC by leveraging the experience, effort and resources of national publicly-funded digital infrastructures. In particular it develops a new channel to support the build up of EOSC human capabilities. Training and skills makes part of the project’s broader work towards achieving the main goal.

Researchers, research Infrastructures and research communities, repository managers, FAIR data stewardships

Interdisciplinary collaborations: Networks, services, methods

Patient Data, Ontologies, FAIR, Hospital, Open Science, Health Data, Ontologies, Semantic Web, Linked Data

FAIR data principles and open science are globally endorsed as beneficial for healthcare. As co-founders of the FAIR principles we investigate implementation of FAIR principles, particularly interoperability for machines and interdisciplinary FAIRification. The Covid-19 pandemic emphasized that FAIRification ‘at source’ is vital: observational data are first collected in hospitals and should become FAIR for researchers as quickly as possible, inside and outside of the hospital. However, multiple information systems are used inside hospitals that are not directly interoperable. At the same time, existing systems have their own value such that replacing them is not desirable.

Here, we present a strategy to implement FAIR principles that complements existing hospital systems. We coordinated the FAIRification of observational data of hospitalised patients within an interdisciplinary collaboration that was organised within the hospital to face the Covid-19 challenges. We defined an architecture around ontological models that link data in existing systems. Guided by research questions of the medical doctors, we transformed data into machine actionable digital objects, and developed ontological models for data and metadata, including investigational parameters. DCAT2-structured metadata was exposed by FAIR Data Points. We demonstrated machine actionability by (i) federated queries across hospital data and existing Linked Data-based knowledge sources, (ii) Web APIs for querying Linked Data, (iii) hypothesis-support applications built on top of FAIR patient data.

Our work demonstrates that a FAIR research data management plan based on interdisciplinary collaboration and ontological models for data and metadata, Semantic Web technologies, and FAIR Data Points can complement hospital infrastructure to make machine-actionable FAIR digital objects available for integrative analysis. This prepares hospital systems for federated analysis (e.g. as part of the European Open Science Cloud), linking to other FAIR data such as Linked Open Data, and reuse in software applications.

Research infrastructures and research communities, libraries, research support staff

Interdisciplinary collaborations: Networks, services, methods
Training and skills for open science

Collaboration, Future planning, Research culture, Legal frameworks

Research Data Management (RDM) and open data represents one of the main challenges faced by Higher Education Institutions as it requires compliance with ethical codes, responsible research, data protection, journal requirements and funder/institutional policies. In addition to these external drivers, RDM support was being delivered by dispersed teams across this university that can lead to a disjointed support, affecting infrastructure and tools, and does not reflect the institutional commitment towards RDM.

A task and finish group, chaired by an academic, was set up to address these issues by reviewing existing practice to support RDM to co-ordinate activity and to identify future developments.  Working collaboratively and interdisciplinarity, it was comprised of different elements of professional services involved in supporting RDM across the university. The group worked across seven strategic areas: Policies & Leadership; Relation to research assessment procedures; Advocacy & Support; Curation & Preservation; Infrastructure & Tools; Intellectual Property & Contracts; Ethics and accountability. And focused on these four activities of the research lifecycle (including both researchers and research support staff): Planning; Active Data Infrastructure; Data Stewardship and Research Data Support.

The main goal was to deliver a RDM roadmap to improve support, infrastructure and services provided to researchers. To achieve this, it was necessary to understand how RDM support was being delivered and the research lifecycle workflow for funded projects works, recognize roles and responsibilities, and understand researchers’ needs through a survey. Main conclusions are that infrastructure, ethics, data sharing and open data are the main challenges researchers face. Training and guidance were the principal suggestions made. A workflow was drawn to represent and understand the diversity of processes (funded research, digital humanities) and an infographic was made available to support researchers in the research process, including systems. Roadmap actions focus on how to engage with researchers to better support them in a collaborative approach providing comprehensive support through a diversity of workflows, needs and systems

This lightning talk aim to share good practices by presenting a different model through collaboration, engaging elements at various levels, that enabled interoperability across communities whilst supporting diversity of workflows and systems in the research community. It presents the work developed, achievements, outcomes and deliverables, key actions and lessons learned. It brings experiences and knowledge to align RDM strategy with research assessment that can be useful for other organizations that look synergies and continuous improvement, are conscious of the importance of responsible research, legal aspects in RDM and how interdisciplinary collaboration and interoperability across services can improve RDM support.

The talk aims to attract a heterogeneous audience consisting of professionals in academia and industry with diverse backgrounds

Sustaining Open infrastructures, services and tools for research communities
Value added data products/services from open science

Research analytics; Text mining; Open dataset; Open infrastructures, services, and tools; Scientometrics; Impact assessment

Open Science Infrastructure (OSI) is struggling with the challenge of being invisible. Although OSIs constitute a crucial part of the scholarly communications landscape, facilitating knowledge exchange, supporting libraries in achieving their OS targets, and complying with OS policies, their existence is not always reflected in library budget considerations. The scholarly community relies on OSIs, yet very often without realizing that there are operational and development costs  related to their open existence. These key infrastructures are typically managed by highly competent but under-resourced teams who over-deliver, and it is sadly ironic that their hard work renders their need for additional resources invisible. At worst, these teams risk burnout and overreach, and need to manage a constant need to find new bridge funding.

Many libraries have started to collectively help raise funds across the world for OSIs through SCOSS campaigns, raising more than 3m euros as of August 2021 for DOAJ, Sherpa Romeo, PKP, OpenCitations and DOAB and OAPEN. As SCOSS is now launching its third pledging round with three new services to be announced in the summer, we seek to look deeper into mechanisms of collective funding for OSIs. In the spring, as part of a SCOSS strategy exercise, we launched a global survey asking the wider research community about sustaining Open Science Infrastructure, and the mechanisms through which it should be supported. The proposed workshop will present preliminary results of the SCOSS survey and hear from various stakeholders: from the OSIs supported by the SCOSS program and from institutions who have contributed to a collective effort of funding them. Lessons learnt from this experience will hopefully trigger a wider discussion on the importance of funding the invisible and the potential that collective funding models bring.

repository and research information systems manager, service providers, open science officers

European Open Science Cloud (EOSC) and FAIR data
FAIR data policy and practice: from theory to implementation

FAIR assessment, FAIRification process, resource type adaptation

In April 2020, the Research Data Alliance (RDA) Working Group “FAIR data maturity model” published their first draft of the FAIR Data Maturity Model with specification and guidelines, establishing a set of indicators for assessing adherence to the FAIR principles. In June 2020, the final document was published.

OpenAIRE has defined a set of guidelines that establish the rules that content providers should adopt in order to ensure that their content can be aggregated by the OpenAIRE infrastructure. In practice, the OpenAIRE Guidelines helps content providers managers expose publications, datasets and CRIS metadata via the OAI-PMH protocol in order to integrate with OpenAIRE infrastructure. OpenAIRE guidelines are firstly published in 2010 and the adaptation focus on the latest Guidelines for institutional and thematic repository managers v4, which covers not only literature publications but also DataSets as a resource type.

Beyond the need to expose metadata using global standards, new developments have emerged relating to the application of FAIR principles to records deposited in repositories.

The FAIR principles intend to define a minimal set of related but independent and separable guiding principles and practices that enable both machines and humans to find, access, interoperate and re-use data and metadata. The indicators that are used in the FAIR data maturity model are derived from the FAIR principles and aim to formulate measurable aspects of each principle that can be used by evaluation approaches.

Taking into account these developments and the need to evaluate the FAIRness of content providers, OpenAIRE is updating its guidelines in order to cover the FAIR principles elements, and also adapting the FAIR RDA Data Maturity Model indicators in OpenAIRE Validator. The Validator is available to every logged-in user via the PROVIDE dashboard and is intended to provide an impression of the FAIRness of their repository.

The FAIR Maturity Model Indicators, as core criteria to assess the implementation level of the FAIR (Data) principles, implemented in the OpenAIRE Validator, aims to offer to the content providers managers, a way to assess the implementation of FAIR (Data) Principles.

This implementation in the Validator will deploy a specific guideline to evaluate the level of adoption of the FAIR Principles by content providers.

The presentation will briefly introduce to the mentioned guidelines and will shown how the FAIRificaton process will be done with strategic procedure of adaptations of the RDA FAIR Data Maturity Specification, their implementation in the existing OpenAIRE validator service, and conclude with the introduction to evaluate a institutional, thematic, or data repository in the PROVIDE dashboard.

Being part of OpenAIRE, all content providers assure its compatibility with global standards and interoperability based on the adoption of OpenAIRE guidelines. More specifically the FAIR assessment will leverage a more swift adoption and implementation process of FAIR principles in repositories, enabling a faster identification of trustworthy repositories, thus accelerating the building of EOSC services upon these infrastructures.