Publishers, researchers

Interdisciplinary collaborations: Networks, services, methods, Sharing best practices and knowledge, Sustaining Open infrastructures, services and tools for research communities, Innovations in publishing and research dissemination

SCIndeks, Diamond Open Access, Reviewing Reviewers, Peer Review, journals, incentive

Serbian Citation Index – SCIndeks is a hybrid Open Access platform based on a business model of partnership between a non-profit web publisher and journal owners. Most journals hosted by SCIndeks are local scholar-led Diamond OA journals, relying on limited financial means, staff, and skills, but highly motivated by national regulatory and financing bodies to reach international status and level of excellence. The role of SCIndeks as a platform and its development team is to assist journals in their efforts by providing them with a journal management system, publishing expert guidance, techniques of promotion of journals on web, tools intended for quality control, and, finally, precise feedback on their advancement within all those processes. One of the most important forms of assistance is the comprehensive support for quality peer review.

SCIndeks development team uses various strategies and mechanisms to support the peer-review process:

• SCIndeks customized OJS-based journal management system (SCIndeks Assistant) helps editors keep track of the peer-review process;
• specialized, mostly custom-made tools and procedures make it easier for editors and reviewers to assess manuscripts: automated identification of mismatched/missing citations and references, references to retracted articles, and articles originating from disputable journals in the list of references;
• training for editors and reviewers;
• specialized software tool dubbed Reviewing Reviewers (RR) enabling the assessment of the usefulness of peer review reports for both (a) editorial decisions and (b) for authors’ improvement of submitted manuscripts; while the former is rated by editors, the latter is assessed by the authors themselves, which makes RR an innovative and (at the beginning) disputed tool;
• Statistics module of RR which is also integrated in the SCIndeks journal management system accumulating results (grades) of reviewers working for different journals; Statistic module is providing ranking of reviewers based on a composite score combining editors and authors grades.
• The RR composite score is used for selecting best reviewers for further engagement and at the same time for selecting candidates for annual financial award provided by SCIndeks publisher. 

In this presentation we describe RR in greater detail and analyze quantitatively the effects of its use in two previous years in comparison to the period preceding its implementation in SCIndeks Assistant. The analysis shows that the assessment of reviewers by the authors has resulted in some changes in reviewers’ behaviour. The change was found on the following indicators: (1) the share of reviews containing comments to the authors, (2) the share of such comments containing attachments (3) the average number of words in attachments, and (4) the relative number of new, first-time peer reviewers. All changes are statistically significant. Opposite to the expectations, no changes were observed in the average number of words in comments and the average rates given to the reviewers by editorial boards. However, what is most indicative, the structure of reviewers’ recommendations has slightly altered. Reviewers now tend to suggest accepting manuscripts conditionally (“accept after revision”) more frequently than before. The increase happened at the expense of the number of decisions to accept manuscripts immediately (“no revision”). This may be regarded a sort of proof that reviewers have started to take more helpful general attitude toward authors, which is exactly what we have sought to achieve.

To conclude, the results, supported by some anecdotal evidence, fully encourage the use of RR in an academic environment marked by an unsatisfactory reviewing process and the lack of motivation among eminent researchers to accept invitations of local journals editors. It is reasonable to assume that this will lead to the higher level of article quality in local Diamond OA journals, which is the ultimate goal of introducing RR.

Agenda

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 communities, repository managers, data stewards, publishers and content providers, libraries, research administrators, service providers and innovators, EOSC

Interdisciplinary collaborations: Networks, services, methods
Sustaining Open infrastructures, services and tools for research communities
Value added data products/services from open science

research data repositories, registry, use case analysis, re3data COREF

re3data is the global registry for research data repositories. As of January 2021, the service lists over 2700 digital repositories across all scientific disciplines and provides an extensive description of repositories based on a detailed metadata schema. A variety of funders, publishers, and scientific organizations around the world refer to re3data within their guidelines and policies, recommending the service to researchers looking for appropriate repositories for storage and discovery of research data.

The presentation focuses on the development of the Conceptual Model for User Stories for the re3data service. Since its launch in 2012, re3data has been designed to support open science activities. The registry serves the needs of heterogeneous user groups, first of all aimed at researchers searching for suitable repositories to find and deposit research data. In addition, re3data contributes to other open science infrastructures as a valuable source of metadata about research data repositories.

To better understand the needs of its users the re3data COREF project conducted a stakeholder survey. Participants were also invited to join an associated online workshop to further discuss their requirements and recommendations. The presentation will focus on the most important findings from these activities and introduce common use cases of re3data. It will address how re3data currently interlinks with several other services and how the integration of third-party information can be realized.

This talk is targeted primarily to all those people involved at various levels in the design, implementation and evaluation of Data Management Plans (DMP) in the context of research studies. The audience may include, among others, principal investigators, data stewards, IT people, funders, etc.

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

Data Management Plan, DMP, Guidelines, FAIR, RDM Best Practices, Data Stewardship

The preparation and implementation of a good Data Management Plan (DMP) helps to focus on different aspects of research data management (like ethical-legal or technological requiremenresources involved, FAIRness) thereby fostering potential benefits for data analysis anrepurposing. However, preparing a good DMP is often a complex task. A number of existing tools tries to simplify the preparation by automatically generating a DMP from a set of questions, but the difficulties in tailoring predefined plans to specific use cases sometimes lead to the compilation of not exhaustive documentation, especially for those who are new to this task. To alleviate these challenges we have created a guide to support the writing of the DMP, combining key contenpractical recommendations and references extracted from the most common DMP models. Wstructured the guidelines as a complement to the analysed templates and tools to stimularesearchers towards a critical exploration of the many different aspects, possibly adapting them their domain specificities. In this way, we believe that the whole project team could be encouragto consider the DMP as a travelogue to be followed over the project lifecycle and further, updating it whenever necessary. The guide is openly available on Zenodo and it is currently being validated by the researchers of the I FAIR Program – an initiative to promote and adopt best practices fresearch data management in the biomedical research community in Sardinia. The initial feedback indicates that the guide appears to be a useful tool both when creating the DMP and during revision.

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.

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.

Value added data products/services from open science
European Open Science Cloud (EOSC) and FAIR data

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

FAIR data, FAIRification, retrospective FAIRification, Pharmaceutical R&D

The FAIR principles (findable, accessible, interoperable, and reusable) for scientific data management and stewardship aim to facilitate data reuse at scale by both humans and machines. The pharmaceutical industry's research and development (R&D) is becoming increasingly data-driven, yet managing its data assets according to these principles remains challenging. There is currently little empirical evidence concerning how FAIR is now used in reality, what its related costs and benefit are, and how decisions about retrospective FAIRification of datasets in pharmaceutical R&D are reached.

This talk aims to report the results of semi-structured interviews with pharmaceutical experts involved in various stages of drug R&D in seven pharmaceutical companies. The findings identified three main themes of the benefits and costs of FAIRification, as well as the factors that influence the decision to FAIRify historical datasets. The participants noted that the potential contribution of FAIRification to data reusability in several research disciplines, as well as the possibility for cost reductions. Participants, however, still saw implementation costs as a hurdle, citing the need for a significant investment in terms of resources and cultural change. legal and ethical reasons, management commitment, and data prioritization all influenced how decisions were made.

Main contributions of this talk are as follows:

- The findings have important implications for people in the pharmaceutical R&D business who are working to implement FAIR, as well as for outside parties who want to learn more about current practices and challenges.

The main motivation to look forward at the Open Science FAIR The feedback received on this talk at the Open Science FAIR will be extremely helpful for our project. This opportunity will support us to learn more about what others are developing, how our findings may be integrated and shared, and to discuss the most potential needs for the future development

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.

Open Science enablers, infrastructures and policies

Sharing best practices and knowledge, Sustaining open science training: people, resources, governance

TRIPLE, Training strategies, Engagement

In the last years, Open Science made a significant headway in European research policy and advocacy. Alongside the benefits of working towards enabling “open by default” in all disciplines, this momentum led to a complex, increasingly crowded and multidimensional landscape of Open Science enablers, infrastructures and policies. Questions of what exactly are we talking about when talking about the EOSC, how to navigate the latest generation of discovery services or whether to find no author-facing-fee OA funding schemes became recurrent points of discussions even among those who are actively involved in implementing certain aspects of the European OS roadmap.

TRIPLE is a H2020 project with a primary aim of developing a discovery platform for SSH. Within TRIPLE, we found it important to dedicate a specific task force to pave the way towards exchange and a shared understanding of the latest European Open Science advancements, filtered by the TRIPLE project perspective. Despite the original intention to address our events only to Consortium members, we decided to open them to the community and to focus on topics which have relevance for specific TRIPLE’s activities and tasks (i.e. the EOSC onboarding), and on services and solutions which are of interest to the whole community (i.e. Open Research Europe , and the EOSC state-of-the-art and objectives).

The presentation will specifically focus on:

• the synergies that have been implemented with the main RIs in the SSH field (OPERAS, CLARIN, CESSDA, DARIAH) and with training coordinators communities (EOSC Skills and Training Working Group, OpenAIRE CoP of Training coordinators, SSHOC Training community, ICDI Competence Center)
• the strategies adopted to a) provide support to TRIPLE members on Open Science and the EOSC via adequate training; b) engage new potential interested audiences in TRIPLE’s events; c) produce FAIR training materials, to ensure their reusability by the general public.

Agenda