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The key to comprehending and optimizing web usage is web analytics. A 2016 study demonstrates that this approach is being applied in the information infrastructures of the Leibniz Association. Now, this study has been conducted once more to chart the evolution of online analytics. This article presents the main results of the follow-up study and discusses them in relation to scientific performance assessment and quality management. [ABSTRACT FROM AUTHOR]

Research Infrastructures (RIs) are strategic assets facilitating innovation and knowledge advancement across all scientific disciplines. They provide researchers with advanced tools and resources that go beyond individual or institutional capacities and promote collaboration, community-building and the application of scientific standards. Remote and virtual access to RIs enables scientists to use these essential resources without the necessity of being physically present. The COVID-19 pandemic restrictions where a catalyst for the expansion and further development of remote and virtual access models, particularly in fields where physical access had been the predominant model. The eRImote project explores pathways for digital and remote RI access through targeted surveys, stakeholder workshops, expert groups discussions, and the analysis of specific use cases. This paper provides a definition of remote and virtual access and remote training and explores their implementation across various RIs, highlighting the implications for their operational processes and the dynamics of interaction between RIs and their user communities. It presents the identified advantages, obstacles, and best-practices, alongside strategies and recommendations to navigate and mitigate challenges effectively. Key issues and recommendations are summed up separately for remote access, virtual access, and remote training, complemented by general recommendations for facilitating remote and virtual access to RIs. These relate to budgeting and funding, the balancing of RI access models, the need for regulatory frameworks for sample shipments, collaboration among RIs, impact assessment of remote and virtual access on user interactions, operational efficiency and the environment footprint of RIs, and the adaption of data sharing policies. Stakeholders are broadly invited to give their feedback on the paper’s findings and conclusions, which will be integrated into improved versions of this paper.

Copyright of Sociologia Italiana is the property of EGEA S.p.A and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of ABI Technik is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The paper discusses the application of the quasi-experiment research design to the empirical evaluation of large-scale research infrastructures' socio-economic benefits. Specifically, after introducing the quasi-experimental methodology, it provides an illustrative example in which a quasi-experiment approach is used to assess the technological procurement spillovers of the Italian Space Agency.

Mechanisms and sources of funding for European Research Infrastructure Consortiums (ERICs) are diverse, complex and can be challenging to identify and to use. This paper provides a roadmap for Research & Development (R&D) within the pre-commercial procurement (PCP) framework and the landscape of funding for ERICs available from the European Union with a perspective on other tracks of funding. Our objective is to offer a starting point and underline opportunities and challenges, for existing and future ERICs. The work presented in this paper results from the research carried-out for the business model of the DiSSCo (Distributed System of Scientific Collections) ERIC, which is currently in its transition phase and will be constructed in the following years. [ABSTRACT FROM AUTHOR]

Copyright of Publizistik: Vierteljahreshefte für Kommunikationsforschung is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista del Museo de Antropología is the property of Museo de Antropologia - IDACOR and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista del Museo de Antropología is the property of Museo de Antropologia - IDACOR and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

While transnational research infrastructure projects long preceded the formal integration process that created the European Union, their advancement is an increasingly central part of EU research policy and of European integration in general. This paper analyses the Biobanking and Biomolecular Resources Research Infrastructure–European Research Infrastructure Consortium (BBMRI–ERIC) as a recent example of institutionalized scientific collaboration in Europe that has formally been established as part of EU science policy. BBMRI–ERIC, a network of European biobanks, is expected to contribute to both European science and European integration. Yet its achievements in these domains are interpreted differently by various actors involved. This paper draws on STS conceptualizations of infrastructures as relational, experimental, and promissory assemblages. These support the formulation of a working definition of research infrastructures that in turn helps to explore the heterogeneous meanings attributed to BBMRI–ERIC. The paper describes the creation of this distributed European research infrastructure, and divergent understandings of what it means for BBMRI–ERIC to be distributed, to be European and to be a research infrastructure. This analysis demonstrates how building a research infrastructure is also an effort to define what it means to be European—a process in which what is European about science and what science can do for Europe is continuously (re-)imagined, contested and negotiated. [ABSTRACT FROM AUTHOR]

The overall objective of the ARIADNE initiative is to help archaeological research and data management communities in Europe and beyond to more effectively share and use data that are dispersed across many institutions and projects. The initiative developed Research Infrastructure services that enable aggregation, integration, search and visualisation of data records that describe and link to data collections and items available in the providers' repositories and databases. Funded under the Research Infrastructures strand of the European Union's Framework Programme for Research and Innovation, the ARIADNE projects implemented and enhanced the ARIADNE Research Infrastructure and mobilised a growing community of institutions and collaborative projects interested in sharing data through the e-Infrastructure. In the ARIADNEplus project almost 4 million data records were integrated in the ARIADNE Portal. Following a brief introduction to the ARIADNE initiative, this article presents selected achievements of the initiative with the ARIADNEplus project. It addresses the extension and support of the ARIADNE community, the activities promoting FAIR data in archaeology, and the standardisation of datasets based on the CIDOC CRM and the domain vocabularies Getty AAT and PeriodO. It considers the ARIADNE Portal as an effective data access and research tool, and the development of Virtual Research Environments as a new innovative approach. The final remarks highlight the ability of the ARIADNE initiative to provide incentives for institutions and projects to share their data and make it useful through the ARIADNE Portal, which leverages the value of the providers' repositories and databases. Furthermore, ways in which ARIADNE fosters cross-disciplinary fertilisation are noted, for example, between scholars and technological developers of research services.

The archaeological research community was an early adopter of digital tools for data acquisition, organisation, analysis, and presentation of research results of individual projects. However, the provision of e-infrastructure and services for data sharing, discovery, access, and reuse has lagged behind. The ARIADNE Research Infrastructure has sought to address this situation. Developed with European funding, ARIADNE has created an e-infrastructure that enables data providers to register and provide access to their digital resources through the ARIADNE data portal, facilitating discovery, access, and research. ARIADNE has aggregated resources from over 45 data providers, spanning over 40 countries and 4 continents. The portal now provides online access to over 3.9 million research resources. It is based upon Linked Open Data technologies and is underpinned by a flexible and extensible architecture, enabling multiple combinations and presentations of the same underpinning data. We have been keen not to 'make a great heap' of all the data and, learning from previous data aggregation projects, we have defined a subset of the CIDOC CRM to be used as a strict ontology and paid close attention to data standards and controlled vocabularies to achieve a high degree of interoperability. This article discusses some of the challenges of large-scale data integration and describes the approaches adopted to ensure that the ARIADNE Knowledge Base is an effective tool for archaeological heritage management and research at a national and international level.

This article focuses on the aggregation of Cypriot archaeological datasets, digitally archived in local repositories, into the ARIADNE portal. It considers, in particular, the development of an application profile for inscriptions and presents the integration of two collections, consisting of ancient coins and inscriptions carved on stones. It highlights the tools and ontologies developed for the aggregation and management of these digital resources, as well as the related pipeline and activities. The issues encountered are also presented, plus the solutions adopted and the successful results in the data aggregation of these collections into the infrastructure. Currently, thanks to the pipeline, and the semantic tools developed and used in ARIADNE, a collection of Cypriot medieval coins and a corpus of Ancient Greek inscriptions are now more widely accessible to the archaeological community.

With the current expansion of vector-based research and an increasing number of facilities rearing arthropod vectors and infecting them with pathogens, common measures for containment of arthropods as well as manipulation of pathogens are becoming essential for the design and running of such research facilities to ensure safe work and reproducibility, without compromising experimental feasibility. These guidelines and comments were written by experts of the Infravec2 consortium, a Horizon 2020-funded consortium integrating the most sophisticated European infrastructures for research on arthropod vectors of human and animal diseases. They reflect current good practice across European laboratories with experience of safely handling different mosquito species and the pathogens they transmit. As such, they provide experience-based advice to assess and manage the risks to work safely with mosquitoes and the pathogens they transmit. This document can also form the basis for research with other arthropods, for example, midges, ticks or sandflies, with some modification to reflect specific requirements. [ABSTRACT FROM AUTHOR]

Technological advances in the first two decades of the 21st century have profoundly impacted medical research in many ways, with large population cohorts, biological sample collections and datasets through biobanks becoming valued global resources to guide biomedical research, drug development, and medical practice. However, in order for biobanks to maximize their impact and scientific reach of their resources, they would need to act within a complex network of infrastructures and activities. Therefore, different ways have emerged in which biobanks, including those for infectious diseases, can emerge as (part of) infrastructures, integrate within existing ones, or become an independent, yet an interoperable component of the existing infrastructural landscape. However, there has been a limited understanding and study of such mechanisms to date. This perspective aims to address this knowledge gap and illustrates these three high-level ways in which such infrastructures could integrate their activities and identifies the necessary key pre-conditions for doing so, while drawing from specific examples.

Large-scale research infrastructures (RIs), such as MAX IV and European Spallation Source in Lund, Sweden, are considered critical for advancing science and addressing social challenges. These research facilities are central to research, innovation, and education; in playing a key role in developing and disseminating knowledge and technology. In this study, we develop a conceptual framework of a knowledge ecosystem for large-scale RIs. The study is explorative, with primary data from 13 interviews with key informants from different stakeholders in academia, industry, and policy. Secondary data were obtained from reports from national agencies that develop and operate research facilities and from industrial and regional governmental reports, internal reports, newsletters, and information from the facilities' websites. We find that academia, industry, and policy, together with four themes, have an effect on the value proposition of these facilities, on geographical distances (nodes), catalysts, platforms, and hubs. Therefore, they will affect the structure and design of a knowledge ecosystem. Our framework explains knowledge ecosystem structure and design. [ABSTRACT FROM AUTHOR]

Data are essential products of scientific work that move among and through research infrastructures over time. Data constantly changes due to evolving practices and knowledge, requiring improvisational work by scientists to determine the effects on analyses. Today for end users of datasets much of the information about changes, and the processes leading to them, is invisible—embedded elsewhere in the work of a collaboration. Simultaneously scientists use increasing quantities of data, making ad hoc approaches to identifying change difficult to scale effectively. Our research investigates data change by examining how scientists make sense of change in datasets being created and sustained by the collaborative infrastructures they engage with. We examine two forms of change, before examining how trust and project rhythms influence a scientist’s notion that the newest available data are the best. We explore the opportunity to design tools and practices to support user examinations of data change and surface key provenance information embedded in research infrastructures.

Data are essential products of scientific work that move among and through research infrastructures over time. Data constantly changes due to evolving practices and knowledge, requiring improvisational work by scientists to determine the effects on analyses. Today for end users of datasets much of the information about changes, and the processes leading to them, is invisible—embedded elsewhere in the work of a collaboration. Simultaneously scientists use increasing quantities of data, making ad hoc approaches to identifying change difficult to scale effectively. Our research investigates data change by examining how scientists make sense of change in datasets being created and sustained by the collaborative infrastructures they engage with. We examine two forms of change, before examining how trust and project rhythms influence a scientist’s notion that the newest available data are the best. We explore the opportunity to design tools and practices to support user examinations of data change and surface key provenance information embedded in research infrastructures.

Eating habits must change substantially in order to address the urgent societal challenges of personal, public and planetary health. Research surrounding various facets of the dietary transition remains siloed, hindering breakthroughs. We argue the scientific case for transdisciplinary research centered around the transition to healthy, sustainable, and acceptable diets. This transition requires tackling the broad societal challenges of engaging consumers in the diet transition, improving nutritional health and achieving environmental sustainability of foods and food systems. The crucial synergies and trade-offs from addressing single challenges in isolation are discussed, as well as obstacles when considering the collaboration between the multiple scientific disciplines concerned with the dietary transition. Currently, interactions between these challenges remain understudied and/or ambiguous, in part due to a lack of interoperable data and standards. Intersectional research entry points acting at the intersection of the three challenges are explored: food taste and texture reformulation, food pricing strategies and food literacy. The implementation of such cross-cutting interventions urgently requires both the generation of new data and exploitation of the breadth of existing data. Researchers must therefore be facilitated to find, access and use interoperable data to model and measure food intake and all its determinants. The dietary transition requires underpinning by a research infrastructure that supports access to transdisciplinary data, facilities and research tools, alongside training and capacity building. Filling these unmet data, tools and training needs is the first step towards delivering breakthrough innovations to foods and food environments, mobilizing consumers to engage in the dietary transition. • Current research on healthy and sustainable diets ignores critical synergies and trade-offs between research domains. • The challenge for research on the diet transition is to address inter- and trans -disciplinary research entry points. • Fragmented data, methods and training require a transdisciplinary research infrastructure addressing the diet transition. • A transdisciplinary research infrastructure needs underpinning by permissive policy environments and research agendas. [ABSTRACT FROM AUTHOR]

Continuously increasing complexity of scientific research lead to the growing need for close integration of heterogeneous scientific communities. Such integration can be provided by the development of cross-domain research data infrastructures. In this paper, problems of the effective organization of scientific data in research infrastructures, based on FAIR principles, are considered. Analysis of the representation of various subjects in the existing infrastructures used for highlighting the main difficulties facing researchers, the ways of its overcoming are considered. [ABSTRACT FROM AUTHOR]

A major innovation in the field of food studies is the second-generation experimental platforms dedicated to the study of eating behaviours and habits. These experimental facilities are becoming more widespread in other scientific fields to address some emerging important scientific and social issues. It is therefore reasonable and relevant to see whether it is possible to learn some lessons from these other fields which are ahead of the food studies field. This paper thus attempts to describe the modes of operation and upgrading of comparable scientific platforms in other fields. However, it is questionable whether the platform model developed in the field of natural sciences is suitable for social sciences, and especially for food studies, or whether specific models should be developed for their respective fields. [ABSTRACT FROM AUTHOR]

Biobanking facilities are well established in high-income settings, where substantial funding has been invested in infrastructure. In contrast, such facilities are much less developed in resource-restricted settings. However, low-and middle-income countries (LMICs) still face a disproportionately high infectious diseases burden. Thus, the further development of infrastructure facilities, including biobanks is warranted as an important component of this unfolding clinical research environment. This perspective manuscript summarises the challenges and enablers for biobanking in LMICs, with a particular focus on infectious diseases, incorporating some of the lessons learned from the recent coronavirus disease 2019 (COVID-19) pandemic.

Copyright of Letonica is the property of University of Latvia, Institute of Literature, Folklore & Art and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Current research information systems (CRIS) evaluate research performance and are intended to contribute to the continuous improvement of research. Based on former research on the ethical dimensions of CRIS, our paper presents the results of a survey with a small sample of representatives of ethics committees from different European countries on ethical aspects of CRIS. Ethics committees and experts are rarely associated with CRIS-related projects. However, their opinion on ethical indicators and the implementation and use of a CRIS is undoubtedly essential for the future development and management of these systems. Against this background, our purpose is to provide a deeper understanding of the ethical aspects in the field of research information management, to show how CRIS represent ethical dimensions of scientific research and to suggest some adjustment of their development, implementation and use. [ABSTRACT FROM AUTHOR]

Sustainability of research infrastructures (RIs) is a big challenge for funders, stakeholders and operators, and the development and adoption of adequate management tools is a major concern, namely tools for monitoring and evaluating their performance and impact. BioData.pt is the Portuguese Infrastructure of Biological data and the Portuguese node of the European Strategy Forum on Research Infrastructures 'Landmark' ELIXIR. The foundations of this national research infrastructure were laid under the “Building BioData.pt” project, for four years. During this period, performance and impact indicators were collected and analysed under the light of international guidelines for assessing the performance and impact of European research infrastructures produced by the European Strategy Forum on Research Infrastructures, the Organisation for Economic Co-operation and Development and the EU-funded RI-PATHS project. The exercise shared herein showed that these frameworks can be adopted by national RIs, with the necessary adaptations, namely to reflect the national landscape and specificity of activities, and can be powerful tools in supporting the management of RIs. “Not everything that counts can be counted, and not everything that can be counted, counts”. (Attributed to William Bruce Cameron)

Background: The genus Enchodelus is an intriguing free-living dorylaimid nematode taxon. Its representatives display a distinct distributional pattern as they are mainly spread in high altitudinal enclaves of the Northern Hemisphere, being often associated with mosses and cliff vegetation. Although their feeding habits have not been studied with experimental protocols, it is traditionally assumed that they are omnivorous.The genus Enchodelus has not been recently revised; descriptions of many 'old species' (that have been described long ago and have not been reported since their original discovery) are of poor quality, hardly discoverable and do not conform to the nowadays taxonomical standards. Thus, a comprehensive compilation and analysis of their literature data is indispensable to provide new insights into the taxonomy of the genus and to elucidate its evolutionary relationships., New Information: This contribution provides a cyber catalogue of all Enchodelus species, 28 in total. It compiles available information from the key European Research Infrastructures, such as TreatmentBank, Swiss Institute of Bioinformatics Literature Services (SIBiLS), the Catalogue of Life (CoL), Global Biodiversity Information Facility (GBIF), European Nucleotide Archive (ENA) and Biodiversity Literature Repository (BLR). Data about their distribution (geographical records and habitats) are incorporated too and all brought together. It is completed with discussion and notes for some species, along with information on species distributions and microhabitats. Here, all available information on Enchodelus species is brought together. This will contribute to a more complete assessment of species diversity and distribution and support further biogeographical and ecological research.Besides, type material Enchodelusvestibulifer Altherr, 1952, deposited in the Museo Cantonale di Storia Naturale di Lugano (Switzerland), is re-examined and the species is considered as incertae sedis . Further, a new species of the genus found in Caucasus, Georgia is described after its morphological and molecular study; also morphological and molecular data for E.macrodorus (de Man, 1880) Thorne, 1939, the type species of the genus, collected from Spain are provided., (Milka Elshishka, Aleksandar Mladenov, Stela Altash, Sergio Álvarez-Ortega, Reyes Peña-Santiago, Vlada Peneva.)

This document is an edited version of the original application for inclusion of a strategic research infrastructure project in the Polish Roadmap for Research Infrastructures. The application entitled "Polish network of research infrastructure for plant phenotyping" was submitted to the Polish Ministry of Science and Higher Education in June 2018; the project was not included in the Roadmap published in January 2020. The original document did not contain this abstract.

Personalised medicine (PM) presents a great opportunity to improve the future of individualised healthcare. Recent advances in -omics technologies have led to unprecedented efforts characterising the biology and molecular mechanisms that underlie the development and progression of a wide array of complex human diseases, supporting further development of PM. This article reflects the outcome of the 2021 EATRIS-Plus Multi-omics Stakeholder Group workshop organised to 1) outline a global overview of common promises and challenges that key European stakeholders are facing in the field of multi-omics research, 2) assess the potential of new technologies, such as artificial intelligence (AI), and 3) establish an initial dialogue between key initiatives in this space. Our focus is on the alignment of agendas of European initiatives in multi-omics research and the centrality of patients in designing solutions that have the potential to advance PM in long-term healthcare strategies.

Sustainability of research infrastructures (RIs) is a big challenge for funders, stakeholders and operators, and the development and adoption of adequate management tools is a major concern, namely tools for monitoring and evaluating their performance and impact. BioData.pt is the Portuguese Infrastructure of Biological data and the Portuguese node of the European Strategy Forum on Research Infrastructures "Landmark" ELIXIR. The foundations of this national research infrastructure were laid under the “Building BioData.pt” project, for four years. During this period, performance and impact indicators were collected and analysed under the light of international guidelines for assessing the performance and impact of European research infrastructures produced by the European Strategy Forum on Research Infrastructures, the Organisation for Economic Co-operation and Development and the EU-funded RI-PATHS project. The exercise shared herein showed that these frameworks can be adopted by national RIs, with the necessary adaptations, namely to reflect the national landscape and specificity of activities, and can be powerful tools in supporting the management of RIs. “Not everything that counts can be counted, and not everything that can be counted, counts”. (Attributed to William Bruce Cameron)

EMBL-EBI, Europe's biomolecular data hub, is a world leader in managing and analysing big data in biology and making it freely available to scientists worldwide. Research infrastructures (RI) like EMBL-EBI rely extensively on information technology (IT) services to conduct research and support the delivery of scientific services. These IT services are complex and diverse and IT service management (ITSM) has been shown in other domains to help to improve efficiency and productivity. ITSM is a collection of standards that help organisations develop a process-based approach for managing the full lifecycle of IT services, while keeping their users' needs at the forefront and promoting continuous improvement. However, many organisations struggle with the design and implementation of an ITSM system as it involves the need for organisational change, and because the process approach can seem rigid and bureaucratic on the surface. This article aims to share the experience of the EMBL-EBI IT department in designing and implementing an ITSM system. ITSM implementation steps, benefits, challenges, opportunities, and practices are highlighted, critically analysed, and discussed.

EMBL-EBI, Europe's biomolecular data hub, is a world leader in managing and analysing big data in biology and making it freely available to scientists worldwide. Researchers can access the open data resources and related services of EMBL-EBI by submitting minimal personal data. In May 2018, following the enforcement of the European Data Protection Regulation (GDPR), EMBL adopted the EMBL Internal Policy no. 68 on General Data Protection. It reflects European data protection principles while remaining within the bounds of EMBL's international legal status. As a result of GDPR and EMBL's Internal Policy No. 68 coming into force, 190 EMBL-EBI user-facing services that processed personal data in 2018 were required to have Records of Processing Activities (RoPA) and Privacy Notices (PN). EMBL-EBI's solution was to develop a Data Protection Engine (DPE) that automatically generates RoPA and PN when a service owner answers a series of questions. In addition to maintaining a centrally located database for RoPAs and PNs, the DPE tracks changes to the documents, as well as providing versioning and time-stamped updates. It is the aim of this article to share the EMBL-EBI IT department’s experience with designing and implementing the DPE and providing a toolkit to let others develop a similar solution and benefit from our experience. Implementation steps, benefits, challenges, opportunities, and practices are discussed and critically analysed.

This paper presents a specific approach in the field of evaluating the effects of publicly supported R&D activities: the BETA approach. Initially developed for application to large technology procurement/agency driven public R&D programmes, it has been adapted to a larger range of programmes supporting science and technology. The BETA approach consists of identifying and retrospectively measuring, at the micro-level via direct interviews, the impact of different types of learning processes triggered by participation in R&D. A further adaptation to the specific case of research infrastructures was conducted in the frame of the EvaRIO project. It also dealt with learning processes from an ex post and micro-level perspective, but covered a wider variety of activities and actors over time, leading to a broader view of effects. Based on 30 years of impact evaluation experience, we argue that the revised BETA approach, despite its focus on the economic dimension of impacts, is at the intersection between different strands of evaluation research. The dual nature of the BETA approach is examined along several dimensions including an output versus process perspective, project versus organization scope, qualitative versus quantitative investigation, contribution versus attribution issues, private profitability versus public value perspective, etc. We show that the BETA-EvaRIO method can be used to complement other evaluation methodologies and can be considered as bridging among them, or can be seen as a single, specific approach. [ABSTRACT FROM AUTHOR]

Sustainability of research infrastructures (RIs) is a big challenge for funders, stakeholders and operators, and the development and adoption of adequate management tools is a major concern, namely tools for monitoring and evaluating their performance and impact. BioData.pt is the Portuguese Infrastructure of Biological and Portuguese node of the European Strategy Forum on Research Infrastructures 'Landmark' ELIXIR. The foundations of this national research infrastructure were laid under the “Building BioData.pt” project, for four years. During this period, performance and impact indicators were collected and analysed under the light of international guidelines for assessing the performance and impact of European research infrastructures produced by the European Strategy Forum on Research Infrastructures, the Organisation for Economic Co-operation and Development and the EU-funded RI-PATHS project. The exercise shared herein showed that these frameworks can be adopted by national RIs, with the necessary adaptations, namely to reflect the national landscape and specificity of activities, and can be powerful tools in supporting the management of RIs. “Not everything that counts can be counted, and not everything that can be counted, counts”. Albert Einstein, Theoretical physicist and Nobel Prize winner

Ensuring the quality of integrated data is undoubtedly one of the main problems of integrated data systems. When focusing on multi-national and historical data integration systems, where the "space" and "time" dimensions play a relevant role, it is very much important to build the integration layer in such a way that the final user accesses a layer that is "by design" as much complete as possible. In this paper, we propose a method for accessing data in multipurpose data infrastructures, like data integration systems, which has the properties of (i) relieving the final user from the need to access single data sources while, at the same time, (ii) ensuring to maximize the amount of the information available for the user at the integration layer. Our approach is based on a completeness-aware integration approach which allows the user to have ready available all the maximum information that can get out of the integrated data system without having to carry out the preliminary data quality analysis on each of the databases included in the system. Our proposal of providing data quality information at the integrated level extends then the functions of the individual data sources, opening the data infrastructure to additional uses. This may be a first step to move from data infrastructures towards knowledge infrastructures. A case study on the research infrastructure for the science and innovation studies shows the usefulness of the proposed approach. [ABSTRACT FROM AUTHOR]

Over the last decade, the research and development ecosystem in Slovakia has undergone an extensive material and ideological transformation inspired by international trends regarding the position and use of research infrastructures that were a driving force for innovation and socio-economic progress. Innovation is an important part of life since it is an engine for the development of society and can improve the quality of life. In growing competition, it is the very innovation that is an essential factor in the success, and also it is regarded as a key element of the economic model of developed countries. Unfortunately, in the international comparison, Slovakia is one of the less innovative countries. Space and support for innovation and technology transfer in Slovakia is offered through science parks (SP) – well-established universities and the Slovak Academy of Sciences. This contribution is devoted to the establishment of science parks in Slovakia.

Research infrastructures (RIs) are tools intended to be a fundamental pillar in producing knowledge regarding the functioning of Earth’s vital systems. However, it is unclear to what extent these instruments can help to deal with global biodiversity challenges. This paper presents the first assessment of the alignment between the services provided by environmental RIs, and the knowledge requested to address three specific Global Challenges concerning biodiversity loss at a global level: threatened species, alien species and ecosystem conservation. We characterized the specific needs and Subchallenges behind each Global Challenge. We also collected the services provided by 44 relevant environmental RIs in a standardized form. Then, we assessed to what extent those services are useful to address the challenges’ needs. Our results show that RIs, as a whole, are better suited to respond to species-related challenges than to challenges involving whole ecosystems. Nevertheless, the overlap among challenges’ needs is quite significant. Nearly half of the identified needs are shared between the ‘threatened species’ and the ‘ecosystem conservation’ challenges. Most of the assessed RIs work with multiple Earth System’s compartments at the same time (e.g. terrestrial + marine, terrestrial + freshwater, etc). Regarding the spatial extent of the studied RIs, most of the ecosystem-based RIs focus on the country scale, while most of the RIs specialized in species-related challenges work at a global scale. Considering the needs required to address the studied challenges, we have found that the RIs assessed in this study do not cover several of them. These gaps comprise complex data combinations that the studied RIs do not provide. Most of these gaps can be attributed to the ‘ecosystem conservation’ challenge. We consider that RIs were generally built to support pure basic research, which hampers their contribution to combat biodiversity loss. Because of the urgency to address global biodiversity challenges, we suggest adding new functionalities to make RIs work as problem-oriented facilities.