FAIRifying a scholarly publishing service: Methodology based on the OpenEdition’s internal FAIR audit

In 2023, a team from a local grant-funded medical data repository requested guidance from Penn Libraries on evaluating the extent to which their repository was FAIR-enabling. After a consultation with the repository team, our research data experts discovered that many of the current self-assessments of the FAIR guidelines were for data creators rather than data repository managers. In addition, we wanted a self-assessment tool similar to the process and guidance created by CoreTrustSeal but focusing explicitly on the FAIR Principles. In answer to their request, the Penn Libraries Research Data Engineer conducted a literature review and coalesced current guidance and assessment tools on the principles. After this review of the existing documentation, a small team developed a FAIR Principles self-assessment tool for repository teams. In addition to several iterations of the tool, we also met with the repository team for feedback on making the tool more understandable. Our conversation provided insights into the challenges of explaining the FAIR Principles to those without information or data science backgrounds. The discussion and creation of this self-assessment tool helped develop a more transparent and trustworthy repository. This paper will discuss our process for developing the assessment, the goals for utilizing the tool, and the lessons learned. Reporting our findings as they currently stand will prompt the research data management field to ruminate on the adoption of FAIR Principles for data repositories. We also intend to encourage conversation on the usability of the FAIR Principles for professionals without an information or data science background.

Towards FAIR Data Access

<p>Interoperability has long been an objective for research infrastructures dealing with research data to foster open access and open science. More recently, FAIR principles (Findability, Accessibility, Interoperability and Reusability) have been proposed. The FAIR principles are now reference criteria for promoting and evaluating openness of scientific data. FAIRness is considered a necessary target for research infrastructures in different scientific domains at European and global level.</p><p>Solid Earth RIs have long been committed to engage scientific communities involved in data collection, standardization and quality management as well as providing metadata and services for qualification, storage and accessibility. They are working to adopt FAIR principles, thus addressing the onerous task of turning these principles into practices. To make FAIR principles a reality in terms of service provision for data stewardship, some RI implementers in EPOS have proposed a FAIR-adoption process leveraging a four stage roadmap that reorganizes FAIR principles to better fit to scientists and RI implementers mindset. The roadmap considers FAIR principles as requirements in the software development life cycle, and reorganizes them into data, metadata, access services and use services. Both the implementation and the assessment of “FAIRness” level by means of questionnaire and metrics is made simple and closer to day-to-day scientists works.</p><p>FAIR data and service management is demanding, requiring resources and skills and more importantly it needs sustainable IT resources. For this reason, FAIR data management is challenging for many Research Infrastructures and data providers turning FAIR principles into reality through viable and sustainable practices. FAIR data management also includes implementing services to access data as well as to visualize, process, analyse and model them for generating new scientific products and discoveries.</p><p>FAIR data management is challenging to Earth scientists because it depends on their perception of finding, accessing and using data and scientific products: in other words, the perception of data sharing. The sustainability of FAIR data and service management is not limited to financial sustainability and funding; rather, it also includes legal, governance and technical issues that concern the scientific communities.</p><p>In this contribution, we present and discuss some of the main challenges that need to be urgently tackled in order to run and operate FAIR data services in the long-term, as also envisaged by the European Open Science Cloud initiative: a) sustainability of the IT solutions and resources to support practices for FAIR data management (i.e., PID usage and preservation, including costs for operating the associated IT services); b) re-usability, which on one hand requires clear and tested methods to manage heterogeneous metadata and provenance, while on the other hand can be considered a frontier research field; c) FAIR services provision, which presents many open questions related to the application of FAIR principles to services for data stewardship, and to services for the creation of data products taking in input FAIR raw data, for which is not clear how FAIRness compliancy of data products can be still guaranteed.</p>

Addressing global environmental and societal challenges requires robust, interdisciplinary data ecosystems that support collaboration across geographic, cultural, and disciplinary boundaries. AuScope, Australia’s National Research Infrastructure (NRI) provider for the geoscience community, collaboratively tackles interdisciplinary grand challenges such as climate change, natural resource security, and natural hazards. AuScope is funded by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS) and integrates tools, data, analytics, and services across Australian research and government agencies, in particular, partnering with organisations at the forefront of research data systems and infrastructure.Through collaborations with CSIRO, Geoscience Australia, state and territory geological surveys, universities, and other NCRIS facilities, including the National Computational Infrastructure (NCI), the Terrestrial Ecosystem Research Network (TERN), and the Australian Research Data Commons (ARDC), AuScope is addressing the complexities of modern FAIR data management at scales ranging from small scale local installations to co-located High Performance Compute and Data (HPCD) Platforms. Key AuScope initiatives such as Geophysics 2030 Collections (https://ardc.edu.au/project/2030-geophysics-collections/), AusGeochem (https://ausgeochem.auscope.org.au/), the Modelling Atlas of The Earth (M@TE; https://mate.science), and the AuScope Data Repository (https://repository.data.auscope.org.au/) exemplify how the FAIR principles can be operationalised to support impactful research both within and beyond the geosciences and at multiple scales.Nationally, AuScope collaborates with other Earth and Environmental Research Infrastructure providers, working to transform Australia’s research capabilities through, for example, Coastal Research Infrastructure (CoastRI) and implementing the National Digital Research Infrastructure Strategy (NDRI). Globally, AuScope contributes to initiatives like OneGeochemistry, the CODATA-led WorldFAIR Plus project, EarthScope (US), EPOS, Geo-INQUIRE, and ChEESE (Europe), ensuring compatibility with international research infrastructures, data standards, and best practices while at the same time, aligning with Australia’s geoscience priorities. This presentation will highlight how AuScope is progressively operationalising the FAIR and TRUST principles across its investments by focusing on place-based research to foster interoperability, strategic collaboration, and Open Science practices. By aligning with the CARE principles as well as advancing collaborative data infrastructure, AuScope creates trusted, interoperable data ecosystems that empower researchers to effectively and efficiently address pressing interdisciplinary societal challenges at both a national and international scale.

Ocean observations are acquired from a great variety of platforms at different spatial and temporal scales. Additionally, a great number of physical, chemical, geological and biological variables need to be measured to characterise and understand ocean dynamics and the ocean ecosystem. Developing robust infrastructures that facilitate the search and access to diverse oceanographic data becomes essential to be able to use ocean observations for increasing our knowledge of ocean dynamics and of the ocean ecosystem and for producing information, services and products to support the great diversity of marine stakeholders.In this communication, we will present recent developments of data infrastructures and data services at the the Spanish Institute of Oceanography (IEO-CSIC) in the framework of different national and international funded projects (DEMON, Oceans+, iFADO, DATAMARE...). IEO was founded in 1914 and focuses its activity on oceanography and marine research for different marine stakeholders and to provide scientific advice to the government to support the implementation of marine related policies. IEO is part of the National Oceanographic Data Centres (NODC) network, which adhere to FAIR principles (Findable, Accessible, Interoperable, and Reusable) to ensure standardized data management and global exchange of ocean data. In this contribution we will focus on our recent developments of standard catalogues using open-source tools like GeoNetwork and we will show how this approach has enabled IEO to organise and present a vast catalogue of oceanographic data and of data services that disseminate marine data sets following FAIR principles. Proper hierarchization ensure that users (individuals or data hubs) can navigate the IEO catalogue effectively, taking advantage of the search capabilities to access data for research and applications. Different examples of access to multidisciplinary data sets obtained with different ocean observing platforms will be provided. In addition, we will show how the ocean data stored at IEO can be catalogued to support the implementation of the EU Marine Strategy Framework Directive (MSFD).Finally, we will present the integrated marine data platform being developed by the EU funded Galician Marine Sciences Program by different academic and research actors in Galicia (CESGA, CSIC, MeteoGalicia, INTECMAR, CETMAR and universities of Santiago and Coruña) with the objective of demonstrating the improvement in the management of marine data using supercomputing technologies (High Performance Computing, HPC). We will show practical examples of how access and processing of multidisciplinary marine data sets can be performed in the infrastructure in a powerful, standardized, fast and simple way.

This article presents an overview of a two-year study [1] that (1) mapped the universe of digital resources available to undergraduate educators in the humanities and social sciences (H/SS); and, (2) examined how a better understanding of the variation in use and users can benefit the integration of these resources into undergraduate teaching. Our results suggest that faculty use a vast array of online materials from both educational and “non-educational” sources, but many do not use digital resources for a host of reasons including the lack of direct relevance to their preferred pedagogical approaches, and insufficient time and classroom resources. Our discussions with digital resource providers confirmed that an understanding of the actual use of their resources in undergraduate settings is often murky. These discussions also made clear that resources created by higher education institutions will continue to proliferate despite a lack of formal knowledge about users and/or clear models for financial sustainability. A more precise understanding of the diversity of use and user behavior, and the ability to share findings from user studies, will require that the digital resource development community make typologies, standards of data and data collection, and results more transparent.

The GEOROC synthesis database, a pioneering open-access resource for geochemical and isotopic data, marks 25 years of service to the geoscience community. Over its history, GEOROC has compiled data from more than 22,750 publications in the field of geochemistry, and provides free access to over 39 million individual data values, primarily on igneous and metamorphic rocks, minerals and their inclusions. As a cornerstone for interdisciplinary research, GEOROC is complementary to other geochemical synthesis databases like PetDB, AstroMat and GeoReM, in facilitating reuse of data for innovative studies that leverage data analytics and machine-learning approaches across geoscientific disciplines and beyond.The Digital Geochemical Data Infrastructure (DIGIS) project for GEOROC 2.0 is providing an up-to-date IT infrastructure that aligns GEOROC with the FAIR principles. Data findability and accessibility are ensured through the newly developed API and the improved GEOROC web interface that allows users to retrieve a variety of distinct data products and services, including a fully customizable search functionality. Interoperability is achieved via implementation of a feature-based data model compatible with the OGC Observations and Measurements standard and controlled, machine-readable vocabularies that harmonize geospatial, analytical and sample-related metadata, and enabling seamless integration in multiple databases and portals (e.g., EarthChem). Reusability is further supported by archiving time-stamped GEOROC data products in the DIGIS Data Repository, hosted by GFZ Data Services, where datasets with digital object identifiers (DOIs) are archived for the long-term. Additionally, researchers are encouraged to directly submit new or already “published” datasets to this domain repository—through standardized (meta-)data templates, ensuring high-quality data submissions that facilitate data quality assessment and reuse.In collaboration with national and global initiatives, such as OneGeochemistry and NFDI4Earth, the DIGIS project further promotes practical approaches to the FAIR principles for geochemistry by developing unified controlled vocabularies for geochemical data and their metadata (e.g., analytical methods, sample description, location). These vocabularies also integrate external standards, such as the International Mineralogical Association’s "List of Minerals" and MinDat’s "Subdivisions of Rocks," alongside newly developed (and published) frameworks for categories such as geological setting and analytical methods (collaboration with EarthChem). By harmonizing metadata across geospatial, analytical and sample-related categories, these efforts ensure consistency, improve data quality assessment and control and enhance interoperability across data systems, including but not limited to GEOROC, PetDB, and AusGeochem. Such advancements expand the potential applications of geochemical data, fostering innovation in fields such as environmental science, remote sensing, archaeology and geohealth.With 25 years of experience and ongoing innovation through the DIGIS project, the GEOROC database exemplifies how operationalizing the FAIR principles enhances its value as a critical resource for the geoscience community. By providing both FAIR and open data, GEOROC empowers researchers to conduct reproducible, impactful studies and fosters interdisciplinary collaboration, driving innovation and advancing progress across the geosciences.

The aim of this article is to reconstruct and analyse scholarly book (or monograph) publication patterns in Lithuanian Social Sciences and Humanities (SSH) registered in national database “Lituanistika”. Database “Lituanistika” provides a good starting point and repository of empirical data as it indexes and abstracts different types of scholarly publications in SSH, monographs included. The empirical part of the research consists of finding registered monographs, attributing them to the individual SSH disciplines, comparing the number of monographs and scholarly articles in various SSH, and retracing the timeline of registered monographs across different disciplines etc. The analytical approach of our research is based on an idea of (social) constructivism. We aim at reconstructing the motives behind the publishing of scholarly books or abstaining from such practice. In this article we argue that the motives to publish (or not to publish) a scholarly book are a product of a broader Lithuanian social, institutional and disciplinary context, which influences and regulates the actions of individual SSH researchers.

Current estimates of the contribution of education to economic growth have been questioned because they ignore the interaction of education with ability. Whether the neglect of ability differences in the analyses of the income-education relationship results in estimates that are too high was considered in an earlier paper by one of the authors (Griliches 1970), and a negative answer was conjectured. In this paper, we pursue this question a bit further, using a new and larger body of data. Unfortunately, a definitive answer to this question is hampered both by the vagueness and elasticity of "education" and "ability" as analytical concepts and by the lack of data on early (preschooling) intelligence. The data examined in this paper are based on a 1964 sample of U.S. military veterans. The variables measured include scores on a mental ability test, indicators of parental status, region of residence while growing up, school years completed before service, and school years completed during or after service. These have allowed us to inquire into the separate effects of parental background, intelligence, and schooling. The basic problem and analytical framework can be set out very simply. Let income be a linear function of education and ability, or, Y a + P1E + P(2G + u, where Y is income, E is education, G is ability,

About Our Authors

As communities increasingly aim to understand and demonstrate how their data repositories support the FAIR Principles, decision-makers need tools that provide a clear, actionable snapshot. This paper introduces FIP Check, a rubric-based tool for assessing FAIR Implementation Profiles (FIPs) through a structured assessment of FAIR Enabling Resources (FERs). Built on the FIP ontology, the FIP Check brings three key innovations to FAIR assessment. First, it enables granular and practical evaluation by using a FAIR Principle-aligned rubric to assess individual FERs. Second, it measures partial FAIRness through a progressive scoring scale that captures varying levels of FAIR alignment, offering constructive, context-aware feedback rather than purely binary results. Additionally, this tool complements existing FAIR assessment tools by focusing on FERs as the units of assessment rather than on entire repositories or datasets. Third, it ensures transparent and inspectable balance by embedding expert-informed assessments within a standardized rubric and making all scoring decisions directly visible. FIP Check was piloted across seven biomedical data repositories, testing its utility in identifying strengths and actionable gaps, and supporting more informed FAIR improvement efforts. It enables communities to assess their current practices and plan targeted enhancements. By providing detailed insights into how individual FERs contribute to FIP’s FAIR alignment, the FIP Check transforms the FAIR Principles from abstract ideals into practical guidance that support strategic alignment, foster shared understanding, and encourage repository owners to see their resources not only as providers of data, but as infrastructure components.

<p>In today’s world of digital technologies, cultural heritage institutions, particularly in developed countries, are seeking ways to create national digital memories for the future of the citizenry. However, rapidly developing technologies and their concomitant technological obsolescence put future memories at risk. The challenge is enormous in developing countries that, when compared to their developed counterparts, lack adequate resources and technologies for effective digital resources management and preservation. As a developing country, Ghana appears ready to face the challenges of effective digital resources management. The country has developed programmes and a national policy on information and communication technologies (ICTs) for accelerated development. However, Ghana does not appear to be effective in managing or preserving digital cultural heritage resources. An interpretive case research design involving 27 semi-structured interviews with key stakeholders from 23 institutions was used to explore the various contextual factors influencing the management and preservation of digital cultural heritage resources (or DPM). Rogers’ (2003) “diffusion of innovation” (DOI) theory and Davies’ (2000) “policy, strategy and resources” (PSR) troika model provided a basis for a preliminary model of factors to guide the research. Although the DPM innovation was not fully diffused in Ghana, related activities at the base, middle and higher levels of the Ghanaian social system were unintentionally fostering the adoption process. Four main clusters of contextual factors that were influencing the DPM adoption process in Ghana were identified: attitudinal, resources-related, policy-related, and managerial factors. Key stakeholders perceived the design of appropriate strategies, adequate resource allocation, and proper implementation of policies as key enabling factors for effective adoption of DPM in Ghana. However, a general lack of interest in cultural institutions (libraries, archives and museums) and in information management on the part of decision makers and the Ghanaian stakeholders as a whole was found to hinder DPM adoption. This study extends Information Systems (IS) research involving DOI theory and the PSR troika model into a developing country context. Attitudinal-based complexities involving misunderstandings among various tribal groups in Ghana, and resources-based complexities surrounding technology access and use, were found from the interview data and were added to the initial model which was expanded to aid in understanding the various contextual factors that influence DPM adoption in Ghana. In addition to the study contributing to theoretical understandings in IS research, it provides Ghanaian policy developers with an empirical base for accelerating adoption of DPM in Ghana. It also provides New Zealand and other digital preservation advanced countries with a deeper understanding from which to provide contextually designed advisory services to other developing countries (particularly in the Pacific Island regions) as it enables the contextual understanding of the factors from Ghana.</p>

Social scientists’ data sharing behaviors: Investigating the roles of individual motivations, institutional pressures, and data repositories

Purpose. Episciences is a platform for publishing overlay diamond open access scientific journals. It hosts and supports 43 overlay journals from several disciplines—mainly mathematics, informatics, applied mathematics, social sciences, and humanities—and, for this purpose, utilises open science infrastructures. Approach. The content of the publications is hosted on open repositories (such as HAL, arXiv, Zenodo, bioRxiv, and medRxiv), data repositories for datasets and Software Heritage for software. This allows Episciences to benefit from the FAIR principles supported by these infrastructures while also adding value and services. The platform offers a complete publishing solution for researchers, enabling them to peer-review and publish articles, datasets, and software. All these components may also be linked to each other to promote the FAIR principles and the reproducibility of science. Findings. Relying on existing infrastructures enables cost-efficient publishing. Led by academics, the platform is supported by French academic funding from the Ministry of Higher Education and Research, CNRS, Inria, and INRAE. Originality. The platform engages with scientific communities, through scientific committees. It provides solutions for copy-editing, communication, and advice on the best practices in open science publishing. Episciences is also open to new projects and collaborations at both European and international levels. The platform is available on the OpenAIRE catalogue of services and the EOSC marketplace. Relying on open infrastructures, the overlay model, and a dedicated support and editorial team, Episciences increases the transparency of the editorial workflow and enables researchers to regain control of their publishing methods and processes.

There is an exponential growth in data accompanying the digitalisation of agriculture through the proliferation of mobile technology, remote sensing technologies and distributed computing capabilities among others. The effective management of this data will open up new opportunities to better the lives and livelihoods of smallholder farmers by lowering cost and reducing information asymmetries. The lack of experience in data management or adoption of data driven services can limit the possibilities of digital transformation, which is vital for food security and nutrition. There is a strong need to strengthen the capacity of data producers and data consumers to better understand and begin to utilize open data to improve efficiency and effectiveness in agriculture and nutrition. Digital literacy has been identified as one of the key challenges in the Data for Development agenda developed by the European Commission. Food and Agriculture Organization of United Nations (FAO) was a partner of Global Open Data in Agriculture and Nutrition (GODAN) Action project funded by UK Aid DFID between 2017-2019. FAO together with the other project partners involved in the creation of a Massive Open Online Course (MOOC) on open data management in agriculture and nutrition targeting developing countries. SIDDI (FAO’s Scientific Information and Digital Data for Innovation) Team led this course and delivered five times over the year of 2018 to more than 15.000 participants from 148 different countries. Based on this experience, SIDDI Team collaborated with Technical Centre for Agricultural and Rural Cooperation (CTA) and the Pan African Farmers’ Organisation (PAFO) as part of the Data4Ag project to develop a MOOC on farm data management targeting farmer and farmer organisations including researchers in the area. The topics were data sharing frameworks, FAIR principles and open data conceptual frameworks, while also emphasizing the legal and responsible ethical considerations for data rights and protections. The online course targeted professionals involved in using or managing data services for the benefit of farmers and farmers organizations. These professionals work in a wide range of organizations, including international organizations, donor agencies, multilaterals, NGOs, academic and research institutions, universities, national or local governments. Capacity development opportunities to improve access to, and knowledge of information and data vital for food and agriculture. This online course attracted over 5.000 participants from 153 countries which are mainly from the Global South. They are now connected through a mailing list, still sharing their experiences or asking support from each other. The course materials have been published and shared under the Creative Commons BY SA license to allow reusability. Some of them conducted training sessions with the materials used in this online course. In this work, I would like to share the methodology in developing such courses, delivery methods, communication strategies and impact stories as well as lessons learned in developing the capacity of farmers and farmer organisations to manage data.