policymakers, research funders, research performing organisations, academic libraries, research infrastructures

Sharing best practices and knowledge, Skills within the wider research context, Sustaining open science training: people, resources, governance

open science, research data, research data management, scholarly communication, training

Last year, the proposal for a National Open Science Plan in Greece was published outlining the steps that the national stakeholders in Research & Innovation should make. The two OpenAIRE members, “Athena” Research Center (NOAD) and the consortium of academic libraries “HEAL-Link”, have a long standing cooperation in the country. They support each other's work by building the bridges between academia and research, and laying the foundations for the sustainable implementation of Open Science in Greece. In particular, they exchange knowledge and practices on:
- (co-)developing data services that follow best practices to enable FAIRness of data and EOSC compatibility, such as through the Hellenic Data Service “HELIX” and the University data repositories “HARDMIN”.
- promoting skills on Open Science and Research Data Management (RDM) to incubate competencies of researchers as well as to contribute to upskilling and reskilling of the research support workforce.
- providing apt guidance and support in EU framework programme requests, including the COVID-19 calls, via the OpenAIRE helpdesk and the material in Greek language of the Scholarly Communication Unit of HEAL-Link.

Moreover, “Athena” and HEAL-Link both perform activities to draw the bigger picture, in support of informed decision and policy making. For example, the monitoring reports by SCU/HEAL-Link are giving the community the insights to understand the progress of OA publishing in the country. Similarly, the OpenAIRE NOAD collaborates with others and initiates actions that assist in understanding the current challenges and opportunities in R&I, including the EOSC and the COVID-19 crisis.

The lighting talk will provide a detailed update on the actions that the two organisations have taken to promote Open Science in Greece.

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.

Librarians, researchers, research data managers, data scientists

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

DMP; researcher´s perception; data management plan; metadata

Considering that the elaboration of a DMP is not a trivial task for the researcher, who, for the most, do not use this praxis in their research routine, Icict/Fiocruz carried out a study about the perception of researchers regarding the elaboration of a DMP, supported by the FioPGD tool, developed by the Fundação Oswaldo Cruz. We tried to identify doubts, facilities and difficulties related to the system interface (usability); the understanding of the content to be filled in each form section; the general perception of the tool; as well as the challenges founded during its filling. As a methodological procedure, a qualitative approach was used, adopting as a data collection instrument the observation of the user's interaction with the system. The result generated some necessary actions to optimize the system and highlighted the difficulty in understanding about metadata. It was concluded that metadata questions must have a better explanation with answers tips inside the DMP systems, to ensure its proper fill. Besides this, it is necessary to adopt an institutional ecosystem that ensures an articulation between information professionals and ethical and legal specialists, to support researchers, in their DMPs elaboration.

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

RDM best practice, open community development, life-science data

In this lightning talk we will cover the following on RDMkit.

• How RDMkit organises its best practice guidance. Components of RDMkit and entry points.
• The RDMkit approach to achieve FAIR data.
• The RDMkit community and editorial process.
• How RDMkit is integrated into other platforms channeling RDM expertise.

Proper management of research data is increasing its presence in the lifecycle of data-driven investigations. On the one hand, funders or host institutions demand research data management (RDM) by requiring researchers to build and implement data management plans for projects. On the other hand, research infrastructures provide a plethora of RDM support in the form of tools, policies, standards and guidelines. Researchers often find themselves lost in the middle, overwhelmed in their task to take advantage of the available support and to meet the funder demands for RDM.

ELIXIR is a distributed European infrastructure for life-science data. ELIXIR's 23 national nodes have observed recurring RDM challenges for life-science data and the major pitfalls that researchers find themselves in. To address these RDM experts in ELIXIR have combined forces to build RDMkit (https://rdmkit.elixir-europe.org), launched in March 2021. For researchers, RDMkit is a one stop shop of information, advice and signposting to research data management know-how, tools, examples and best practice, written by life scientists for life scientists. For data managers, RDMkit is a resource to complement institutional guidelines. For funding agencies and policy makers, RDMkit is a resource that can be included in guidelines. RDMkit is recommended in the European Commission's Horizon Europe Program Guide as the "resource for Data Management guidelines and good practices for the Life Sciences." The RDMkit is an open community with editorially guided content from over 95 contributors.

In this lightning talk we will present how RDMkit organises its guidance, the distinctive aspects that it takes in making life-science data Findable Access Interoperable and Reusable (FAIR) and how RDMkit is integrated into other tools and platforms channeling RDM expertise in registries such as FAIRsharing, bio.tools and the TeSS Training portal, and working with ELIXIR's Data Stewardship Wizard decision support tool.

Libraries, research administrators, Open Science Infrastructure providers, funders

Collaborative platforms for all research artifacts, Interoperability across domains and services, Local and global collaborations: people and networks, Research analytics and visualizations, Text and data mining for/from research, Thematic Clouds

Data discovery and access, Datasets, Virtual Research Environment, EOSC, Ocean

Blue-Cloud is the thematic EOSC for the marine domain, delivering a collaborative virtual environment to enhance FAIR and Open Science, underpinned by simplified access to an unprecedented wealth of marine data resources and interoperable added-value services and products.
Blue-Cloud federates leading European marine data infrastructures and e-infrastructures, allowing researchers to combine, reuse, and share quality data across disciplines and countries.
The federation takes place at the levels of data resources, computing resources and analytical service resources. A Blue-Cloud Data Discovery and Access Service (DDAS) is developed to facilitate sharing with users of multidisciplinary datasets. A Blue Cloud-Virtual Research Environment (VRE) was established to enable the sharing of computing and analytical services for specific applications.
The DDAS architecture is based upon a combination of the GeoDab metadata broker service of CNR-IIA, and the SeaDataNet CDI service modules as developed by MARIS, IFREMER, and EUDAT. The overall concept is that the DDAS harvests metadata from the data infrastructures federated in Blue-Cloud by means of protocols such as CSW or OAI-PMH, providing discovery and access to users through a user-friendly interface.
The VRE is developed by the Italian National Research Council (CNR), built on the D4Science infrastructure and the gCube open source technology. Services include Data Analytics (Data Miner, Software and Algorithms Importer (SAI), RStudio, JupyterHub), Spatial Data Infrastructure to store, discover, access, and manage vectorial and raster georeferenced datasets, and services and components enabling users to document and then either share with selected colleagues or make available online any generated product (e.g. analytical methods, workflows, processes, notebooks). Being enriched with automatically generated provenance metadata, those products enable reusability, repeatability and reproducibility and promote Open Science.
In this demo, we will explain how to access and use these services, which are open for testing to researchers from all domains of ocean science.

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

Libraries, research administrators, Open Science Infrastructure providers, funders

Collaborative platforms for all research artifacts, Infrastructures and services for citizen science, Interoperability across domains and services, Rules of Participation in EOSC

EOSC Portal, User experience, Research resources

The EOSC Portal is a building block of the EOSC implementation roadmap, representing 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 EOSC Portal Catalogue & Marketplace acts as an entry point to the multitude of services and resources for researchers.
The Marketplace is an integrated platform that allows easy access to resources from top European providers for various research domains along with integrated data analytics tools.
This demo will offer an overview of the user experience, improved within the EOSC Enhance project, and a tutorial on how to use the main features and functionalities to exploit a growing number of resources available to researchers.

Research Funders, Publishers, Service providers, Researchers

Interdisciplinary collaborations: Networks, services, methods
Sustaining Open infrastructures, services and tools for research communities

Data Availability Statements, Data Management Plans, Research Data Management Lifecycles, Research Outcomes

During the session, attendees / participants will be able to identify the points needed in both DMPs and DAS and work towards addressing them. The session is expected to:

• From the session presentations and feedback, develop an initial checklist/roadmap of the top items to address/work on as a community to improve DMPs/DAS
• Produce a whitepaper/website/paper from the roadmap/checklist of higher-level DMP/DAS points to communicate to the research scholarly community and address together

Data Management Plans (DMPs) and Data Availability Statements (DAS) provide context on activities and outcomes in Research Data Management Lifecycles (RDMLs) and encompass different aspects of the scholarly communication process. On the one hand, DMPs ensure researchers’ compliance with research funding and research organizations’ requirements, to carefully manage and appropriately share research data and outputs. On the other hand, DAS are integrated into scientific publishers' workflows to promote the availability of their publications’ underlying research data and outputs. Efforts are underway to standardize the structure and content of DMPs and DAS at both technical and policy levels. In this session you will hear from four key stakeholder groups regarding their approaches towards addressing challenges and opportunities in DMPs and DAS:

• Dutch Research Council (NWO) - Champions research data management policy alignment with research funders in Europe. One of the first organizations to implement Science Europe core requirements for DMPs, NWO actively promotes these requirements to other stakeholders. 
• American Geophysical Union (AGU) - Advances data/software sharing policies and approaches in publishing through a broad coalition of partners and stakeholders. Beginning with its position statement on data (1997), AGU continues to improve its guidance and move towards machine-actionable DAS and research articles.
• Research Data Alliance (RDA) DMP Common Standards Working Group (WG) – Develops a community-wide information model, as well as specifications and access mechanisms for machine-actionable DMPs (maDMPs). The WG recently released its maDMP recommendations for fostering greater collaboration, integration, and automation of maDMPs across research workflows.
• Argos - An open extensible service through OpenAire that simplifies the management, validation, monitoring and maintenance of DMPs. Argos constructs DMPs as machine-actionable outputs that are also shared through Zenodo according to Open and FAIR practices. Furthermore, the Argos paradigm inspires discussions and solutions towards the automation, linking, and machine-actionability of DAS and DMPs.

Agenda

A funder's perspective on DMPs - Maria Cruz, Dutch Research Council [presentation]

Open Research at AGU and Wiley - Christopher Erdmann, American Geophysical Union and Hannah Smith, Wiley [presentation]

Citing machine-actionable DMPs – How can we make it work? - Tomasz Miksa, TU Wien & SBA Research [presentation]

Argos: How tools can facilitate our DMP discussions - Elli Papadopoulou, ATHENA Research and Innovation Center / OpenAIRE [presentation] 

Discussion