Policy makers and funders, researchers, research Infrastructures and research communities, repository managers, publishers and content providers, libraries, research administrators, service providers and innovators, EOSC

Interdisciplinary collaborations: Networks, services, methods
Value added data products/services from open science
Training and skills for open science

Open science, Responsible Research and Innovation, Research Assessment, Promotion Review and Tenure Policies

This Lighting talk will analyse data on career pathways and institutional policies to investigate how institutional structures of recognition and reward shape the uptake of principles and practices of Open Science and Responsible Research and Innovation (RRI). The term Open Science refers to the movement to make scientific research, data and dissemination accessible to all levels of inquiring society. RRI is a broader concept incorporating Open Science (along with Science Education, Public Engagement, Governance, Gender, Ethics); it involves society and innovation in science and tries to align these outcomes with the values of society.

Our work seeks to add to our knowledge of how current institutional recognition and reward structures (especially as contained in promotion policies) shape open practices. Could it be that reward structures could be reshaped to foster increased adoption of these principles? To this end, this work involved two main activities:

• A qualitative study of institutional promotion policies to determine the extent to which a range of criteria relevant for Open Science and RRI practices are currently reflected.
• A survey of active researchers to assess their own opinions in relation to the current assessment criteria used in their own institutional promotion policies, as well as their own extent of uptake of Open Science/RRI, and reflections on what may further incentivise uptake.

This work will present the collected data and the general conclusions that can be brought together to draw broader conclusions. It will set recommendations on the role and potential of existing as well as new RRI and Open Science incentives, as well as a proposal for new indicators that both incentivise researchers in applying RRI and Open Science principles as well as help them further develop their careers.

Policy makers and funders, researchers, research Infrastructures and research communities, repository managers, publishers and content providers

Interdisciplinary collaborations: Networks, services, methods
Legal aspects of open science; GDPR and IPR exploitation, RDM best practices
Training and skills for open science, Sustaining open science training: people, resources, governance

data anonymization, k-anonymity, km-anonymity

Amnesia is a flexible, user-friendly, free, and open-source data anonymization tool. Specifically, Amnesia transforms relational and transactional data to anonymized datasets where formal privacy guarantees hold by (1) removing direct identifiers (names, SSNs, etc.) and (2) transforming secondary identifiers (birth dates, zip codes, etc.).

The key idea regarding data anonymization is that identifying information is removed from the published data by presenting identifying information in an obscure or generalized way so that sensitive information cannot be connected to a person. Hence, a significant challenge is to provide the best trade-off between privacy guarantee strength and anonymized data quality. Amnesia supports k-anonymity and km-anonymity, two formal privacy guarantees which facilitate Open Access without compromising user privacy.

The Amnesia tool is available both as an online service and a local application focusing on enabling users to understand, tailor and guide the anonymization processes while exploring the quality of the anonymized data. The latest version of the tool (Amnesia 1.2.6) introduces a significant API upgrade comprising additional internal functions exposed as ReST services that allow more precise control on the anonymization engine (Amnesia API documentation link here).

policy makers, researchers, repository managers, content providers, libraries

Interdisciplinary collaborations: Networks, services, methods
Sharing best practices and knowledge
Value added data products/services from open science
Research analytics and visualisations

open access, institutional repository, scholarly communication, bibliometrics

In 2015, Kyoto University, Japan, adopted the Kyoto University Open Access Policy, which mandates faculty members to make their scholarly articles public on the institutional repository, Kyoto University Research Information Repository (KURENAI). In 2020, five years after the implementation of the open access policy, we investigated the effects of the same. This paper presents a bibliometric analysis to reveal the effects of open access, comparing scholarly articles deposited to the KURENAI with their counterparts (i.e., scholarly articles not deposited to the KURENAI) to examine whether a citation advantage exists.

The analysis revealed that the KURENAI has contributed to increasing the number of citations of scholarly articles not co-authored with foreign researchers and scholarly articles in different fields. Thus, we argue that institutional repositories foster interdisciplinary research. We also observed that scholarly articles that are open access only on the KURENAI have been downloaded more frequently than those that are also open access on other platforms (e.g., open access journals and other repositories). Owing to a large number of submissions, it may take some time until a deposited article becomes available for access on the KURENAI. Accordingly, it would be helpful for researchers and libraries to introduce a system that, when processing deposited scholarly articles, prioritizes the publication of articles that are not openly accessible on other platforms.

Libraries, research administrators, Open Science Infrastructure providers, funders

Sustaining Open infrastructures, services and tools for research communities
Collective funding models for open infrastructures and services

Collective funding models, Open Science Infrastructure, Sustaining OSis, Sustainability

Blue-Cloud is the thematic EOSC for the marine domain supporting FAIR and Open Science by developing a web-based environment that will provide scientists & researchers with enhanced analytical capabilities and cloud-computing resources, underpinned by simplified access to a wealth of multidisciplinary and interoperable marine data services.
The project builds on existing European marine data infrastructures and e-infrastructures federating their services within the Blue-Cloud framework, enabling researchers to find, access, share, combine and reuse quality data across disciplines and countries.
The federation is taking place at the levels of (meta)data resources, computing resources and analytical service resources, driven by collaboration across research, data and e-infrastructures. A Blue-Cloud Data Discovery and Access Service (DDAS) is being developed to facilitate access to multi-disciplinary datasets. A Blue Cloud-Virtual Research Environment (VRE) has been established to enable collaborative research, allowing users to share analytical processes and resulting outputs, including data products and services for specific applications.
This innovation potential is explored and unlocked by five real-life demonstrators addressing societal challenges in the domains of genomics, fishery, aquaculture, biodiversity and environment. The demonstrators are showcasing how Blue-Cloud can enhance collaborative research in support of the EU Green Deal and key international initiatives, such as the United Nations Decade of Ocean Science for Sustainable Development.
In addition, Blue-Cloud is developing a Strategic Roadmap to 2030 in collaboration with the wider marine science & research community, as a policy document guiding the evolution of Blue-Cloud into the future aligning with wider developments, such as EOSC and initiatives related to the EU Digital Strategy e.g. the pilot Digital Twin of the Ocean and Destination Earth.
The presentation describes the vision and overarching technical framework of Blue-Cloud and the project’s role in supporting EOSC and the uptake of Open Science principles across the marine research community.

Policy makers and funders, researchers, research Infrastructures and research communities, repository managers, libraries, research administrators, service providers and innovators, EOSC organizations

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

FAIR data, reproducibility, interoperability, research tools

We will demo the integration being developed by the California Digital Library and Research Space enabling bi-directional data flows between RSpace and DMPTool, facilitating higher quality and more comprehensive capture and tracking of research data throughout the research life cycle. Integrations between RSpace and repositories like Dataverse and Figshare enable subsequent direct deposit of the DMP and associated research data from RSpace into the repository.

Currently, data management plans (DMPs) operate as static projections of plans for data use and management. They are prepared for grant proposals, but once submitted rarely referred to thereafter. Data produced in the actual research usually varies significantly from what was envisioned in the DMP. Because it is hard to associate data actually produced with the DMP, the DMP’s usefulness to project researchers, funders, the public and broader research community is limited.

Efforts are underway to introduce ‘machine actionable’ elements into DMPs, so that they become dynamic and are better able to pass data and metadata from the DMP to other Research Data Management (RDM) tools, e.g., repositories. The integration between RSpace and DMPTool should be seen in the context of these efforts, but represents a major step beyond what has previously been contemplated.

In Phase 1 of the integration, recently completed, it is possible to link in RSpace to DMPs in DMPTool. Through existing RSpace repository integrations like Dataverse and Figshare, the DMP can then be included along with data created in connection with the project for direct deposit into repositories. By accessing these deposits, the broader research community, funders and the public can examine and compare the DMP and the research results.

We plan to extend the integration to other widely used DMP online tools running off the common DMP Roadmap codebase like DMPonline and DMP Assistant.

Agenda

• Welcome
• Overview of machine-actionable DMPs/DMPTool - Maria Praetzellis, California Digital Library [presentation]
• Electronic Lab Notebooks/RSpace - Rory Macneil, Research Space [presentation]
• The new integrated workflow with the RSpace/DMPTool (video)
• Q&A

Policy makers and funders, researchers, research Infrastructures and research communities, repository managers, libraries, research administrators, EOSC

Interdisciplinary collaborations: Networks, services, methods
Sharing best practices and knowledge, Responsible metrics and research assessment

European Universities, responsible assessment, transformation of higher education, Open Science, incentives & rewards, European Research Area

Policy initiatives such as the European Research Area and infrastructures such as the European Open Science Cloud include calls for a reform of research assessment, recognition, and reward systems to more strongly reflect Open Science criteria. However, while several frontrunners at national and institutional level are emerging, many universities are reluctant to reform, citing systemic obstacles to changing research assessment.

A potential answer to this collective action problem are the alliances funded by the European University Initiative, which are expected to introduce “academic career systems that support and reward researchers who participate in engaging with society and in a culture of sharing the results of their research, in particular by ensuring early sharing and open access to their publications and other research outputs”.

The EUTOPIA European University – consisting of the Vrije Universiteit Brussel (BE); University of Warwick (UK), University of Ljubljana (SI); Cergy Paris Universite (FR); University Pompeu Fabra (ES); University of Gothenburg (SE) – is implementing a process to reform research assessment based on the INORMS SCOPE Framework for Research Evaluation. Through deliberation about the purpose and methods employed for research assessment, the alliance will develop an overarching framework for research assessment and draft individual commitments to update the individual assessment systems.

The lightning talk will present this change process and the intended impact. The talk seeks to stimulate exchange of experience and collective action across research institutions, universities, university networks and alliances, to accelerate the ‘practical turn’ of research assessment reform and align incentive and reward systems towards Open Science practices.

Libraries, research administrators, Open Science Infrastructure providers, funders

Policy makers and funders
Policy makers and funders

data management plans, research data, research workflows, machine actionable

Planning Research Data Management (RDM) activities is crucial as it effectively lays the foundations for successful research conduct according to RTD best practices and requirements as well as it leads to validated and quality research outcomes at the end of the scientific project / endeavour. Data Management Plans (DMPs) implement RDM policies and describe the activities, means and effort needed to manage data generated, collected and / or re-used by researchers. Moreover, they are seen as outputs that address data reproducibility issues, continuously updated with new data as “living documents” of ongoing research. Hence, DMPs have rapidly entered Research Data Management Lifecycles (RDML), included at the beginning of the research process, and have been standardized in structure and content to be easily adoptable by funders, institutions and research communities. Following the scientific demand, unravels the necessity for flexible and action-capable tools to deal with data management plans that enable research links and information contextualization while also steering compliance with the FAIR data concept.

The demo is about Argos, OpenAIRE’s machine actionable DMP service, also available as an EOSC resource. Argos is a ready-to-use RDA compliant service for creating and publishing DMP outputs. It is hooked into the OpenAIRE ecosystem and interconnects with its underlying services and the Research Graph to offer maximum capabilities for metadata contextualisation, integration with diverse research workflows, and validation of input data comprising DMPs. The demo brings attention to the full DMP lifecycle supported by Argos and highlights the roles of both end-users and service administrators. It also communicates dataset profiles and configuration possibilities through use cases with different scientific stakeholders:

• Research funders - e.g. Argos instance of the Horizon Europe template.
• Research communities - Argos instance of Horizon 2020 template tailored to archaeological data (ARIADNEPlus).
• Researchers - Argos for research projects.

Libraries, research administrators, Open Science Infrastructure providers, funders

Collaborative platforms for all research artifacts, FAIR data policy and practice: from theory to implementation, Research analytics and visualizations, Sustaining open science training: people, resources, governance

open data, energy data, FAIR data, energy transition, renewable energy, energy efficiency, energy consumption, energy production, innovation, investments data, research data, socioeconomic data, calculation modules, data map

The management of the energy transition depends on the availability and the quality of a large range of data. Data is often difficult to find, mixed in different repositories, resulting in a lack of efficiency for research and energy management. EnerMaps aims to improve data management and accessibility in the field of energy. The purpose of the workshop is to introduce the technical concepts behind the EnerMaps Data Management Tool (EDMT), the Energy Community Gateway, and to demonstrate live its use through concrete examples.
The H2020 project EnerMaps has been working to coordinate and enrich existing energy databases to share and reuse energy data more FAIR’ly and as such more efficiently. For researchers, EnerMaps will provide tools to communicate and disseminate data efficiently, based on existing large scientific repositories.
For the renewable technology industry, energy planners, energy utilities, energy managers, energy consultants, and public administration officers specialised in the energy sector as well as social innovation experts and data providers, EnerMaps will act as a quality-checked database of crucial energy data and a possibility to access rapidly new innovative datasets as well as related insights to inform decision-makers.
We will present the main challenges of the energy sector that EnerMaps is trying to overcome, and the technical development of tools such as the data sources selection and the database structure. Both of the EnerMaps tools – the Energy Community Gateway and the visualisation tool with the calculation modules – will be presented through case studies to demonstrate the functionalities at the current development stage and their user-friendly navigation.

Libraries, research administrators, Open Science Infrastructure providers, funders

Collaborative platforms for all research artifacts, FAIR data policy and practice: from theory to implementation, Innovations in publishing and research dissemination, Interoperability across domains and services, Rules of Participation in EOSC

EOSC Portal, Resource onboarding, Interoperability, Research resources

The EOSC Portal is part of the EOSC implementation roadmap as one of the expected “federating core” services contributing to the implementation of the “Access and interface” action line. It has been conceived to provide a European delivery channel connecting the demand-side and the supply-side of EOSC and its different stakeholders.
The EOSC Portal is a gateway to information and resources in EOSC, providing updates on its governance and players, the projects contributing to its realisation, funding opportunities for EOSC stakeholders, relevant European and national policies, documents, and recent developments.
The Portal welcomes the participation of providers that contribute to develop EOSC into a rich environment offering a wide range of services and resources for researchers.
EOSC will become Europe’s virtual environment for all researchers to store, manage, analyse and re-use data for research, innovation and educational purposes. EOSC is intended to set off the ground by federating existing scientific data infrastructures and digital infrastructures for data exploitation that are now spread across disciplines and EU member states. This will make access to scientific data and other scientific outputs easier and more efficient.
Onboarding and maintaining quality resources for research on the EOSC Portal is a great chance for providers to reach out to researchers across Europe and beyond. Providers receive support in the onboarding process, visibility on an evolving platform, updated statistics about usage and user feedback.
The demo given by the EOSC Enhance team will showcase how a provider can successfully complete their registration and first onboarding, as well as manage the dashboard and its main functionalities.

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

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

Anyone who is collaborating with others on projects is welcome to join. For example, policy makers, funders, researchers, support staff, publishers, librarians, research administrators

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

Collaboration, data science, inclusion

• Session attendees will have the opportunity to learn about collaboration in research projects and contribute their expertise. In Particular, we will talk about interdisciplinary, global and asynchronous collaboration.
• Participants will learn where to find more resources on the topic of collaboration using The Turing Way and how to contribute to this interdisciplinary community/project.

Data science and research is defined by its interdisciplinarity. Our work can only reach its highest potential if there are diverse teams of people involved in designing and delivering the research or products. Effective methods of collaboration are crucial to the success and sustainability of research projects and communities.

The Turing Way is an open-source, community-led book project that aims to bring together diverse contributors and collaborators to share resources and practices that make data science reproducible, ethical and inclusive. The project is developed and maintained on an online project repository (https://github.com/alan-turing-institute/the-turing-way) and invites contributions to its 5 guides, including the Guide for Collaboration.

We believe that to make our project widely beneficial and comprehensive we need to collaborate with individuals and groups with diverse skills, backgrounds, lived experiences and domain knowledge. Our community members currently include over 270 contributors on GitHub, as well as thousands of users worldwide who write, read, review, enhance and promote best practices in data science and research (in academia, industry, open communities and public sector).

In this session, we will introduce the Guide for Collaboration to discuss good practices for effective and inclusive collaboration. We will demonstrate The Turing Way guides to prompt discussions on developing inclusive engagement pathways and setting Community-led projects that are open for contributions from people with diverse skills. Through this discussion, we will highlight the importance of designing projects for inclusion 1 and distributed collaboration. Participants will leave this session having discovered skills around reviewing team member’s contributions, remote working, running inclusive events/meetings, defining explicit expectations, and participatory co-creation

Agenda

Researchers, research Infrastructures and research communities, repository managers, research

European Open Science Cloud (EOSC) and FAIR data
Rules of Participation in EOSC

Long-term data preservation, procurement, data preservation, EOSC Sustainability, EOSC business models

Several research infrastructure clusters have highlighted the need for long-term data preservation as part of the Research Data Management (RDM) lifecycle. The EOSC Strategic Research and Innovation Agenda (SRIA) also emphasises the importance of advanced long-term preservation to allow reproducibility of research results towards a sustainable EOSC. The SRIA stimulates and encourages the development of innovative services supporting FAIR principles, as well as data stewardship and preservation across different phases of the research lifecycle using dedicated incentive schemes funded by the EC. Such schemes can include Pre-Commercial Procurement (PCP)/ Public Procurement of Innovation Solutions (PCP/PPI), consisting of financial instruments for co-funding and de-risking the creation of innovative services to be procured by public organisations, co-developed with the private sector. Started in January 2019, using the EC PCP instrument, ARCHIVER is a unique initiative currently running in the EOSC framework that is competitively procuring R&D services for archiving and digital preservation that keep the intellectual control of data and supports the requirements of European research infrastructures, following best practices. This lightning talk will explain how ARCHIVER is providing a substantial contribution to the long-term data preservation vision for the EOSC, proposing a set of innovative services together with a model for facilitating the procurement of commercially supported services beyond the lifetime of the project. ARCHIVER is also extending the concept of FAIR principles to other research associated products, like software, workflows, services and even infrastructures, taking into account the live data and tools that need to be preserved, treating FAIR in the long-term and not only at the outset. An example of this vision is the integration of FAIRsFAIR evaluator (F-UJI) for validation of the resulting ARCHIVER services being developed.

Libraries, research administrators, Open Science Infrastructure providers, funders

Interdisciplinary collaborations: Networks, services, methods
Sustaining Open infrastructures, services and tools for research communities
Value added data products/services from open science
European Open Science Cloud (EOSC) and FAIR data 

Researchers, research Infrastructures and research communities, repository managers, publishers and content providers, libraries, research administrators, service providers and innovators

Finding research data is often described as difficult or challenging (Brickley, Burgess, & Noy, 2019) (Chapman, et al., 2020), especially in comparison to literature search (Kern & Mathiak, 2015). From observation (Krämer, Papenmeier, Carevic, Kern, & Mathiak, 2021) and surveys (Gregory, Groth, Scharnhorst, & Wyatt, 2020) (Friedrich, 2020) we know that data discovery is a complex process, which involves doing literature review, using data portals, reading documentation, and leveraging personal networks. However, the glue that holds all these steps together is the common web search, e.g. via Google. Unfortunately, due to the lack of central, fully indexed repositories, individual data repositories have the responsibility to make their data visible for web search. In this paper we explore how research data is found via general web search by analyzing the queries made to Google using clustering techniques, retrieved via the Google Search Console. The clustering is based on two different keyword features: their probabilities in the queries and their Comparable Click Through Rate (CCTR). The latter is a normalized version of CTR, which allows keywords comparison. We use the query logs from three data portals from the Social Sciences domain, from two different institutions, in addition to a JSON file with mentions of datasets in research papers taken from Social Science Open Access Repository (SSOAR). The use case we are most interested in is the known item search. Here, a dataset is retrieved by name, which has been communicated through the literature or personal communication. These names are often ambiguous, such as acronyms or common nouns, and additional keywords are added by the researchers to find the dataset’s website. The results of our analysis provide a set of keywords which, when systematically added in proper locations of the research data landing pages, can help to make them more discoverable.

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.

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.

Academics, policy-makers

Sharing best practices and knowledge

open science, Matthew effect, inequalities, academy, policy-makers

ON-MERRIT (Observing and Negating Matthew Effects in Responsible Research and Innovation Transition) is funded by the EC to investigate how and if open and responsible research practices could worsen existing inequalities. Open Science (OS) needs resources and traditionally, advantaged people usually have more of them. How can we avoid the dynamic of the Matthew effect in science?

ON-MERRIT aims at contributing to an equitable scientific system that rewards researchers based on merit. It investigates the impact of open science practices in academia, industry, and policy, focusing in particular on institutions and individuals working in the areas of agriculture, climate and health.

The lightning talk will present the results of two of the research strands the project worked on.

The first is the extent of barriers to accessing scientific literature, i.e. being located at an institution with limited access to non-OA literature and the consequent impact on the citation behaviour of scholars; the development of cross-institutional scientific collaborations; potential academic progression; if and how academic performance is associated with the application of RRI and OS principles; who benefits and to what extent from the application of RRI and OS principles along with criteria of geographical location, gender, institutional standing, and so on. 

The second relates to information-seeking behaviours amongst policy-makers. By using survey and interview instruments, ON-MERRIT engaged with information services of policy-makers across all EU Member States to ascertain the levels of access to (open and closed) scientific resources and information-seeking strategies of key actors. In-depth interviews of selected survey respondents followed to shed more light on the role of closed and open access scientific outputs as a knowledge basis of policymaking, as well as to understand the attitudes towards and experiences of policymaking via open science practices across political actors engaging the departments responsible for agriculture, climate, and health. 

Libraries, research administrators, Open Science Infrastructure providers, funders

Open metrics infrastructures: how to combine, what is next?, Research analytics and visualizations

open science, monitoring, observatory, policy, practices

The Open Science Observatory presents a collection of indicators and visualizations that help interested stakeholders (policy makers and research administrators among others) better understand the Open Science landscape in Europe across countries. The platform assists the monitoring, and consequently the enhancing, of open science policy uptake across different dimensions of interest, revealing weak spots and hidden potential. Based on the OpenAIRE Research Graph, following open science principles and an evidence-based approach, the indicators can be used to provide timely and reliable insights on the evolution of open science in Europe and assist in promoting good practices. The Open Science Observatory is available at https://osobservatory.openaire.eu

Agenda

• Open Science Observatory - Ioanna Grypari, Athena Research Center [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

Libraries, research administrators, Open Science Infrastructure providers, funders

Innovations in publishing and research dissemination, Research analytics and visualizations

Open Science Information Access, Persistent Identifiers, OpenAIRE Graph

OpenScienceLens is new tool, that allows users to easily locate, visualize and explore information of relevance to Open Science. When browsing on the web, or science-oriented web pages, OpenScienceLens locates elements of relevance (e.g. DOIs) and subsequently retrieves and presents information residing on OpenAIRE in a non-disrupting, comprehensive manner. Additionally, Open Science Lens allows science-related site owners, such as repositories, publishers, libraries etc., to embed curated information in their offerings, enriching user experience with easy-to-consume features, coming directly from a flagship infrastructure of Open Science.

To deliver those, OpenScienceLens exploits on one hand the modern rich APIs of OpenAIRE infrastructure, while on the other, builds on common web browser and web technologies assuring the widest reach of its offering. It is built both as a browser plugin and as a page enhancing technology. The demo will showcase both approaches, highlighting the benefits to the stakeholders, for each one.

OpenScienceLens is a strong instrument for promoting, strengthening and utilizing Open Science outputs, bringing them closer to researchers and citizens, making access to them friendlier and direct. Furthermore, it showcases a value-added service proposition, with a strong sustainability potential that

The demo will:
- Show use of OpenScienceLens and information on Open Science artifacts, such as datasets and publications and all the relationships behind those and their production chain (projects, organizations, researchers etc), is delivered directly to user’s browser, without the need to dig for it.
- Present OpenScienceLens integrated into a repository’s, publisher’ or library’s web offering, building a rich user experience for visitors, by on-the-fly aggregating information residing in OpenAIRE space.