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.

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 and funders, Arts and Humanities researchers and research communities, publishers and content providers, libraries, research administrators, EOSC

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

Open Humanities, Responsible career assessment, Open access to monographs, FAIR data, FAIR Cultural Heritage data

The digital transformation of research opened up radically new potentials in innovation and dissemination in all scientific areas. Open Science is becoming the new normal modus operandi in them, also as increasingly central conditions of research funding. Still, in many cases, the dominant impact of STEM disciplines on the Open Science paradigm makes it uneasy for Arts and Humanities scholars to translate these values to their everyday research realities. Therefore, it is crucially important to establish a dedicated discourse and community practices around the open research culture as it makes sense in the Arts and Humanities disciplines. DARIAH is in a unique position to push forward to an open ecosystem that is organically growing out from real community practices and needs.

The presentation aims to outline discipline-specific, yet widely interoperable models of Open Science emerging from community practices of arts and humanities. It will be shown how DARIAH, a pan-European infrastructure for arts and humanities builds an open agenda for arts and humanities research that is firmly grounded in disciplinary realities. This includes:

• Providing a strong voice for arts and humanities research communities to be heard in European and national research policy debates, with special focus on career assessment
• Supporting our communities in navigating themselves in this whole new world and providing Open Science advocacy to them in all career stages and levels of expertise.
• Making arts and humanities’ contributions to Open Scholarship more visible both inside and outside the arts and humanities research communities.
• Facilitating access to Cultural Heritage data
• Building infrastructural components that enable open research practices across arts and humanities disciplines. 

Data managers, applied researchers (e.g., industrial applications) and open science researchers, ontologists/knowledge engineers who are looking for guidance towards making their data FAIR, members of various ontology-based standardisation projects

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

FAIR principles, FAIRness assessment, FAIR in practice

Learning outcomes of the workshop:

• FAIR principles
• FAIRness assessment 
• Implementation challenges
• Best practices

FAIR principles provide a unique framework for creating a machine actionable data management environment supporting Open Science and Open data but also data and information exchange within organizations such as industries. In this session, we aim at discussing the theory and practice of implementing FAIR Principles for applied science and industrial research. The workshop is a meeting point for OntoCommons (www.ontocommons.eu), an EU Horizon 2020 project that aims to improve the state of the art in ontology data documentation in science and industry, and several key initiatives focusing on FAIR (such as GOFAIR, FAIRsFAIR, FairSharing) and the Open Science community. Through this workshop we aim at gathering inputs and suggestions for implementing FAIR and Open Science/Data from the Open Science community. We will briefly introduce key general projects and initiatives related to FAIR, the ongoing work in OntoCommons and discuss how OntoCommons can leverage their work to support a better integration of FAIR principles into current and forthcoming industrial demonstrators including Open Science demonstrators.

Agenda

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.

3 Researcher communities; citizen scientists; ESFRIs and other research infrastructures; EOSC organizations

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

Citizen Science, EOSC, FAIR data

Familiarity with standards and best practices in citizen science across a variety of academic domains.

Many science facilities are now providing open access to their data, making them findable, accessible, interoperable and reusable. By far the widest constituency of data users and contributors is the science-inclined public, for whom citizen science is the natural mode of engagement. However, 'citizen science' means different things to different communities. For some it means co-creation of research projects, while for others it means volunteer contributions to data collection or data mining being run by experts. Both approaches require dialogue and debate between the public volunteers and professionals.

This workshop will explore the best practices from these radically different approaches in different disciplines, the common challenges encountered, and lessons learned. Our focus will be on practicalities and live demonstrations. We will begin with short plenary presentations from experienced stakeholders in citizen science across many disciplines, from biological sciences and ecology to archaeology and the humanities to astronomy and physics. We will invite short technical presentations on the citizen science functionalities being developed (or still aspirational) in the European Open Science Cloud by research infrastructure clusters and e-infrastructures. This will be followed by engaging live demonstrations, then we will convene a lively panel discussion on lessons learned and best practices. In parallel, and in real time, recommendations will be collated into a live document of conclusions and recommendations, which will be submitted shortly after the workshop to a suitable journal and published under green or gold open access.

Agenda

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

Interdisciplinary collaborations: Networks, services, methods Sharing best practices and knowledge, Legal aspects of open science; GDPR and IPR exploitation

Legal issues, data sharing, open research data

Drawing on the legal issues problems and queries expressed by scholars during writing a Data Management Plans (DMP) and uploading research data in an open data repository (The Bridge of Data), this study aims to describe the process of creating Legal Issues Knowledge Hub at the Gdańsk University of Technology Library that will be available at the beginning of 2022. The misunderstanding of legal issues or information gap during Research Data Management (RDM) activities causes tensions and discouragement within academic staff, data stewards and librarian who often are on advising position.

One of the most common activities for scholars is choosing which license (if any) they are supposed to use to disseminate the datasets and code. However, in many cases, resolving the proper license for research data is not enough. On the other hand, many legal doubts are related to the specific scientific discipline and cannot be generalized. Academic staff faces many tensions with a lack of clarity around legal requirements and obstacles, especially due to changes constantly occurred in this area. The increasing researchers' need for understanding and describing conflicting issues (e.g. patenting) results in looking for professional and knowledgeable support at the university.

We resolved to use thematic analysis approach to analysis 75 case studies collected from the researchers represented by several scientific disciplines from three Pomeranian universities. Several dozen legal problems were identified and divided according to the scientific discipline (e.g. chemistry, architecture, economics) and general ones (occurred within all scientific fields).

By analyzing collected data, we enhance our knowledge of legal difficulties in the context of sharing and disseminating research findings (data). Developing the Legal Issues Knowledge Hub will provide scholars with conditions and information to open their research data legally.

Research Infrastructures and research communities, repository managers, service providers and innovators, EOSC

Sustaining Open infrastructures, services and tools for research communities
European Open Science Cloud (EOSC) and FAIR data

ROcrate, tooling, collaboration, storage

This talk discusses a democratised approach to FAIRness as being built for the CS3MESH4EOSC project.

The principles of FAIR have been widely embraced. Uptake of FAIRnes remains a challenge. We recognise two main obstacles:

1. FAIR-aware infrastructure needs to be available, and be so usable that it gets broad uptake
2. Research communities need to be motivated, trained and assisted to use this FAIR infrastructure. It needs to make their lives easier. Without relevant infrastructure in place, there is no point in mounting FAIRnes awareness campaigns.

The CS3MESH4EOSC approach to FAIR uptake is to start from the Science Mesh of datastores, already in widespread use by researchers. We add a FAIR Description Service to these stores, for any researcher to use (an instance of the "Describo" tool). Thus they can create FAIR Digital Object packages from their own data (using the RO-Crate standard); initially targeting the open access Zenodo repository service.

CS3mesh4EOSC meshes datastores that are already in widespread use by researchers. By adding metatada awareness and annotation capabilities to this already-patronised mesh, we end up with a democratised approach to FAIR. Allowing researchers to generate FAIR objects from their live data (no onerous upload / collections steps) will help create more FAIR data supply. We are glad to work with other EOSC entities, either offering this as a whitelabel to other service providers, or directly to end users.

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

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, 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.

Researchers, research Infrastructures and research communities, repository managers, libraries, service providers and innovators, EOSC organizations.

European Open Science Cloud (EOSC) and FAIR data
FAIR data policy and practice: from theory to implementation, National EOSC initiatives, Thematic Clouds, Rules of Participation in EOSC

EOSC, FAIR, interoperabilty, standards, federation, co-design

Learning outcomes of the workshop:

• Expectations on the EOSC Core
• Benefits of the EOSC Core
• Potential contribution from the engaged organisations

The EOSC Future project will develop an environment with interoperable research outputs, including publications and code, as well as access to professional data services and resources such as compute,storage and preservation. It will federate existing research infrastructure in a ‘system of systems’ approach that will support European researchers in managing the entire lifecycle of data: from sharing, managing and exploiting their own data to discovering, re-using and recombining the data sets of others.

In particular, the EOSC Future project will support the establishment of the so-called EOSC Core. “The EOSC-Core provides the minimum functionality that is required to enable the federation of data and services across domains and countries. It supports FAIR data principles by providing the means to discover, share, access and reuse data and services. These elements address key technical, cultural and policy decisions of EOSC and they must be maintained over the long term” (SRIA v0.1).

This 90-minute workshop will provide an overview of EOSC Future’s plans for the implementation of a fully functional EOSC Core, highlighting how it could support and facilitate the daily work of researchers in the future. After an initial EOSC Future presentation on the EOSC Core, the workshop with continue with a panel discussion focusing on the following questions:

• What will be the impact of the EOSC Core on national and international research infrastructures?
• What are the needs and expectations of the research institutions (e.g libraries, repositories, universities, etc.)?
• What role will the EOSC Core and the standards we adopt play in an international context?

The input collected during the workshop will be used by the EOSC Future project to collect requirements for the EOSC Core. The workshop will be also a way to establish direct collaboration channels with the above-mentioned stakeholders

Agenda

• 10´ Welcome and EOSC Future at a glance - Ron Dekker, EOSC Future Project Director
• 20´(incl. 5´for questions) EOSC Future’s plans for the implementation of a fully functional EOSC-Core - Klaas Wierenga, GEANT & Co-chair of the EOSC Future Technical Collaboration Board [presentation]
• Panel discussion moderated by Ron Dekker on the following topics:
• How do you interpret the EOSC-Core and how can it help you from your community perspective?
• How do you interpret the EOSC-Core and how can it help you from your organisational/institutional perspective?
• What is the contribution that you / the community you represent can bring to the EOSC-Core?

Panelists: Rudolf Dimper, PaNOSC cluster representative in EOSC Future & IT advisor to the ESRF Directorate; Hilary Hanahoe, Secretary General, Research Data Alliance; Steven McEachern,Director of the Australian Data Archive, Australian National University; Natalia Manola, CEO, OpenAIRE; Jan Meijer, Senior advisor international strategy, Uninett AS; Klaas Wierenga, GEANT & Co-chair of the EOSC Future Technical Collaboration Board

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

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

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

research data infrastructure, institutional collaboration, RDM training

The talk will explain the role, activities, and context of the Disciplinary Open Research Data Repositories project run in Poland by the University of Warsaw and its partners. It will focus on the research data infrastructure elements that foster collaboration with other organisations and support the uptake of research data management & FAIR practice within universities and scientific institutes.

The talk will cover the partnership within the Disciplinary Open Research Data Repositories project that aims to develop disciplinary repositories (Macromolecular Xtallography Raw Data Repository MX-RDR and Social Data Repository RDS) as well as agreements with various research performing organisations interested in setting up institutional collections in the generalist Repository for Open Data RepOD.

Key aspects of institutional collaboration will be discussed, such as sharing best practices and knowledge, addressing legal aspects of open science and setting the research data infrastructure mission in the broader research context. Taking into consideration the project aims – improving the quality of the data and metadata and facilitating better use of scientific resources, among others – the talk will also highlight the progress towards sustainable data sharing that can be achieved by increasing the uptake of available services.

The talk will also take into account the situation in Poland: the ongoing development of data management policies. During the implementation of the project (2018-2021) significant changes in the research context occurred as the main funding agency in Poland, National Science Centre, introduced open science policy and mandatory research data management plans. Also, an increasing number of research organizations adopted open access policies.  The motivation for the talk is to share experiences in the development of research data infrastructure and to discuss a framework for building a sustainable collaboration model.

Libraries, publishers, policymakers, research communities, funders, researchers

Interdisciplinary collaborations: Networks, services, methods
Sharing best practices and knowledge

Open Access, OA books, Networks, Best practice exchange, Community-driven, community-learning

The Open Access Books Network (OABN) is a relatively new kid on the block, but it punches above its weight. It launched in September 2020, as a bottom-up initiative focused on OA books, coordinated by representatives of DOAB/OAPEN, SPARC Europe, and ScholarLed. In its first year, the OABN has brought together the OA books community to stage numerous events, share best practices, and discuss new developments and initiatives with an emphasis on OA books. This lightning talk will explore our experiences developing the OABN, our early growth, and the lessons we have learned along the way.

Our most significant series of community events so far began in March 2021: over the span of three months, we ran a series of workshops, Voices from the OA Books Community, devoted to exploring different aspects of policy for OA books, to gather wide-ranging feedback from the community that could inform the forthcoming Plan S guidance for books. The series gathered around 450 different stakeholders, including publishers, funders, OA policy makers, researchers, librarians, and infrastructure providers from all over the world. This series demonstrated that the OABN can be a valuable vehicle in facilitating knowledge exchange in the relatively niche field of OA books. 

Now that we are celebrating OABN’s first birthday, we want to look back at lessons learnt from the past twelve months. How does one build a strong network, uniting such diverse stakeholders as publishers, librarians, service providers, policymakers and funders? How do we engage and encourage community members to interact with the OABN? How does it help them and what questions do they have? This lightning talk will provide a snapshot of the first year of the OABN, answering some of the aforementioned questions and with an emphasis on the community-oriented ‘Voices from the OA Books Community’ series.

Research support, libraries, data stewards, anyone supporting researchers in Horizon Europe projects

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

Open Science requirements, Horizon Europe, train-the-trainer, research support

The learning outcomes of the workshop will be the following:

• Research support staff is better equipped to support their researchers in Horizon Europe Open Science requirements.
• A start is made in producing collective support material.

For several years Open Science requirements and recommendations have been part of the grant agreements of European projects. The European Commission supports Open Science practices to increase the visibility, impact and excellence of project results funded through its funding programmes. The first calls for Horizon Europe were published earlier this year and Open Science is now embedded in it, meaning that the requirements are implemented throughout the Horizon Europe work programmes, in all stages of the project life cycle, from proposal to the final stages of the project. Researchers from across the spectrum of organisations will have questions on how to comply with these requirements and in this workshop we will address the different obligations and discuss best practices and approaches, with special attention for new aspects such as the evaluation of Open Science at the proposal stage.

We aim to scale up Horizon Europe support, and together we want to train more people, produce collective materials and exchange ideas and experiences. In this interactive workshop we aim to discover answers, collaborating with the target audience. The workshop will be coordinated and delivered by members of the OpenAIRE Training Community of Practice of Training Coordinators.

Agenda

Welcome & introduction

Lightning talks

                Alea Lopez de San Roman – Open Science in Horizon Europe [presentation]

                Dagmar Meyer – Open Science in Horizon Europe: ERC [presentation]

                Emilie Hermans: practical guidelines in Ghent University [presentation]

                Ellen Leenarts: SSHOC supporting Open Science [presentation]

Break-out session: exchange of approaches on 3 subjects

                Open Access to publications

                Research Data Management

                Open Science in the Impact section of the proposal

Wrap up

Research librarians & researchers

Sustaining Open infrastructures, services and tools for research communities
Collaborative platforms for all research artifacts, Innovations in publishing and research dissemination, Collective funding models for open infrastructures and services

Peer-review, ORE, publishing, Open Science, Scholarly Communication

Participants are expected to get acquainted with the peer-review process behind the ORE platform as well as learn more about open peer review and actively join in the discussion around the best practices and challenges of innovative peer review.

This workshop will be co-organised by LIBER and Open Research Europe (ORE). Open Research Europe is an open access publication platform for the publication of research resulting from Horizon 2020 and Horizon Europe funding in all subject areas. The workshop will explain the peer review model behind the platform which is fully open and transparent as well as invite expert speakers to talk about innovative peer review.

Recently, increasing attention has been paid to ways of streamlining the peer review process and applying alternative peer review methods using new technologies and open access models. There are several developments that the world of scientific communication is currently facing in relation to these new processes and methods such as finding a balance between speeding up the process without compromising quality, integration with research evaluation and understanding the role of citizens and machines in peer review. The new developments in the field of Innovative Peer Review can lead to great opportunities for research libraries, especially in the areas of service development, engagement, and training. During the workshop best practices will be shared about new open peer review approaches, with the opportunity to discuss these new developments in a group discussion. The workshop is addressed at research librarians and researchers with and without experience with the ORE platform with an interest in open and innovative peer review. Specifically, research libraries professionals in publishing and editorial units, or managers of advanced repositories and library staff who work on Open Science software, or who are responsible for promoting Open Science in their institutions are invited to join.

Agenda

Welcome & introduction, Giannis Tsakonas, Library & Information Center, University of Patras

Open Research Europe - Publishing Model & Peer Review Process - Kelly Woods, F1000 [presentation]

Open Peer Review - One Step Forward in the Cultural Change of Scholarly Communications - Judit Fazekas-Paragh, University of Debrecen University and National Library, OpenAIRE [presentation]

Q&A

Policymakers, members of transnational collaborations and international research communities

Sustaining Open infrastructures, services and tools for research communities
European Open Science Cloud (EOSC) and FAIR data

Open Science Policies, IPR and GDPR, International collaborations

By the end of the workshop a top five, of key open science policy recommendations will be produced.

The development and alignment of policies relating to Open Science (OS) are crucial for the successful implementation of the European Open Science Cloud (EOSC). Currently, a multitude of policies exist at various levels (national, funding body, publisher and organisational). Among these, there are observable differences in the expectations on researchers around data management planning, data handling, and data accessibility. The lack of harmonisation across these policies causes confusion among those who need to comply with them, limit cross institutional data use and can hinder rather support uptake of Open Science practices. For example, there are great variations in how data protection and intellectual property are addressed and there could be legal consequences that a researcher in an international collaboration may need to be aware of. To avoid difficulties, the content of the policies themselves needs to be made FAIR to enable clear comparison by both human and machines. Several INFRAEOSC projects have been working to develop recommendations to facilitate policy alignment across the European Research Area with the ultimate aim of realising the EOSC vision. In this workshop, organised by the InfraEOSC-5 Task Force on National Policies and Governance, we will introduce some of the practical recommendations relating to the findability, accessibility, interoperability and reuse of OS policies and work to collectively draft a set of “5 key actions towards common open science policies”. This workshop is targeted toward policymakers and members of transnational collaborations at all levels and aims to foster the emergence of a community of practice that can help put the 5 key actions into practice.

Agenda

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.