2023 Conference article Open Access

(Semi)automated disambiguation of scholarly repositories
Baglioni M., Mannocci A., Pavone G., De Bonis M., Manghi P.
The full exploitation of scholarly repositories is pivotal in modern Open Science, and scholarly repository registries are kingpins in enabling researchers and research infrastructures to list and search for suitable repositories. However, since multiple registries exist, repository managers are keen on registering multiple times the repositories they manage to maximise their traction and visibility across different research communities, disciplines, and applications. These multiple registrations ultimately lead to information fragmentation and redundancy on the one hand and, on the other, force registries' users to juggle multiple registries, profiles and identifiers describing the same repository. Such problems are known to registries, which claim equivalence between repository profiles whenever possible by cross-referencing their identifiers across different registries. However, as we will see, this "claim set" is far from complete and, therefore, many replicas slip under the radar, possibly creating problems downstream. In this work, we combine such claims to create duplicate sets and extend them with the results of an automated clustering algorithm run over repository metadata descriptions. Then we manually validate our results to produce an "as accurate as possible" de-duplicated dataset of scholarly repositories.Source: IRCDL 2023 - 19th conference on Information and Research Science Connecting to Digital and Library Science, pp. 47–59, Bari, Italy, 23-24/02/2023
Project(s): OpenAIRE Nexus

See at: ceur-ws.org | ISTI Repository | CNR ExploRA

2023 Contribution to conference Open Access

See at: ISTI Repository | CNR ExploRA

2023 Contribution to conference Open Access

See at: ISTI Repository | CNR ExploRA

2023 Contribution to conference Open Access

See at: zenodo.org | CNR ExploRA

InfraScience research activity report 2023
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim A. S. T., La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Pagano P., Panichi G., Paratore M. T., Pavone G., Piccioli T., Sinibaldi F., Straccia U., Vannini G. L.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2023 to highlight the major results. In particular, the InfraScience group engaged in research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2023 InfraScience members contributed to the publishing of several papers, to the research and development activities of several research projects (primarily funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual Reports, 2023
DOI: 10.32079/isti-ar-2023/002
Project(s): Blue Cloud , EOSC Future , TAILOR
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See at: CNR ExploRA

2023 Contribution to conference Open Access

OpenAIRE CONNECT for research alliances
Malaguarnera G., Bardi A., Baglioni M., Kokogiannaki A.
Research alliances like university networks or associations gather their members, with common or complementary backgrounds, to maximize their impact on research and society and empower their researchers with common tools, shared policies and guidelines to improve the quality of the research. Via the alliance, members and their affiliated researchers have more collaboration and funding opportunities. However, often it is not easy for an alliance to gain the deserved visibility towards funding organizations or the research staff. By analyzing the current landscape of research alliances it is possible to identify a set of strategic activities: - Wide dissemination of all activities and researchers' results within and beyond the alliance itself; - Tracking the research outputs of the members, especially those resulted from a collaboration among the members of the alliance - Promote Open Access and other Open Science practices (e.g. data sharing and Open Access publishing) to foster a more free circulation of knowledge within and beyond the researchers of the alliance, increase collaboration opportunities, and use it an accelerator towards the Sustainable Development Goals (SDGs) as suggested by UNESCO - Tracking the adherence to shared policies, domain best practices (for thematic alliances) and Open Science practices - Find sustainable common solutions for services shared among the members, reducing the costs and reaching a higher number of users (e.g. for training programs targeting research managers, administrators, researchers, students) Addressing those activities in a sustainable way is in some cases not straightforward. Often, the tracking of research outcome is done manually, requiring a lot of effort for communicating with the single members, ensuring the quality and harmonizing the collected data so that it can be disseminated and/or analyzed. Another common problem is tracking the uptake of Open Science publishing practices of the researchers, identifying gaps and preparing tutorials and training to help them. OpenAIRE, a scholarly communication infrastructure committed to the promotion of Open Science, is collaborating with several research alliances (Aurora, EUT+, EUTOPIA, FIT FORTHEM) to address those challenges. From the technical point of view, OpenAIRE provides to each alliance a customizable gateway where all research products of the members can be discovered via a single entry point and services to ease the adoption and tracking of Open Science practices (see https://connect.openaire.eu for the list of exiting gateways and more information). From the training point of view, the collaborations give us the opportunity to enrich and exchange training material, expertise, and set up a joint dissemination strategy to further improve the visibility within the alliances, the OpenAIRE network, and beyond.Source: EARMA Conference 2023, Prague, Czech Republic, 24-26/04/2023
DOI: 10.5281/zenodo.8300745
DOI: 10.5281/zenodo.8300744
Project(s): FAIRCORE4EOSC , EOSC Future , OpenAIRE Nexus
Metrics:

See at: ZENODO | ZENODO | ISTI Repository | zenodo.org | CNR ExploRA

2022 Report Open Access

InfraScience research activity report 2021
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bove P., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., La Bruzzo S., Lazzeri E., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Ottonello E., Pagano P., Panichi G., Pavone G., Piccioli T., Sinibaldi F., Straccia U.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2021 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, eScience, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2021 InfraScience members contributed to the publishing of 25 papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual report, 2022
DOI: 10.32079/isti-ar-2022/001
Project(s): ARIADNEplus , Blue Cloud , PerformFISH , EOSC-Pillar , DESIRA , EOSC Future , EOSCsecretariat.eu , EcoScope , RISIS 2 , OpenAIRE-Advance , OpenAIRE Nexus , SoBigData-PlusPlus
Metrics:

See at: ISTI Repository | CNR ExploRA

2022 Conference article Open Access

"Knock Knock! Who's There?" A study on scholarly repositories' availability
Mannocci A., Baglioni M., Manghi P.
Scholarly repositories are the cornerstone of modern open science, and their availability is vital for enacting its practices. To this end, scholarly registries such as FAIRsharing, re3data, OpenDOAR and ROAR give them presence and visibility across different research communities, disciplines, and applications by assigning an identifier and persisting their profiles with summary metadata. Alas, like any other resource available on the Web, scholarly repositories, be they tailored for literature, software or data, are quite dynamic and can be frequently changed, moved, merged or discontinued. Therefore, their references are prone to link rot over time, and their availability often boils down to whether the homepage URLs indicated in authoritative repository profiles within scholarly registries respond or not. For this study, we harvested the content of four prominent scholarly registries and resolved over 13 thousand unique repository URLs. By performing a quantitative analysis on such an extensive collection of repositories, this paper aims to provide a global snapshot of their availability, which bewilderingly is far from granted.Source: TPDL 2022 - 26th International Conference on Theory and Practice of Digital Libraries, pp. 306–312, Padua, Italy, 20-23/09/2022
DOI: 10.1007/978-3-031-16802-4_26
Project(s): OpenAIRE Nexus
Metrics:

See at: ISTI Repository | link.springer.com | CNR ExploRA

dnet-dedup framework
Artini M., Atzori C., Bardi A., Baglioni M., De Bonis M., Dell'Amico A., La Bruzzo S. F., Mannocci A., Manghi P.
The GDup Software enables an integrated, scalable, general-purpose system for entity deduplication over big information graphs. GDup supports practitioners with the functionalities needed to realize a fully-fledged entity deduplication workflow over a generic input graph, including Ground Truth support, end-user feedback, and strategies for identifying and merging duplicates to obtain an output disambiguated graph. GDup is today one of the core components of the OpenAIRE infrastructure production system, monitoring Open Science trends on behalf of the European Commission.Project(s): OpenAIRE-Advance , OpenAIRE Nexus

See at: github.com | CNR ExploRA

2022 Report Open Access

See at: ISTI Repository | CNR ExploRA

2022 Report Open Access

OpenAIRE Research Graph: aggregation workflow
La Bruzzo S. F., Artini M., Atzori C., Bardi A., Baglioni M., De Bonis M., Dell'Amico A., Mannocci A., Manghi P., Pavone G.
The OpenAIRE Graph (formerly the OpenAIRE Research Graph) is one of the largest open scholarly record collections worldwide. It is key in fostering Open Science and establishing its practices in daily research activities. Conceived as a public and transparent good, populated out of data sources trusted by scientists, the Graph aims at bringing discovery, monitoring, and assessment of science back into the hands of the scientific community. OpenAIRE collects metadata records from more than 70K scholarly communication sources worldwide, including Open Access institutional repositories, data archives, and journals. All the metadata records (i.e., descriptions of research products) are put together in a data lake with records from Crossref, Unpaywall, ORCID, ROR, and information about projects provided by national and international funders. This technical Report describes the main Aggregation Workflow to orchestrate the data aggregation and the implemented mapping from some of the main datasources into the OpenAIRE research graph data model.Source: ISTI Technical Report, ISTI-2022-TR/033, 2022
DOI: 10.32079/isti-tr-2022/033
Project(s): OpenAIRE-Advance , OpenAIRE Nexus
Metrics:

See at: ISTI Repository | CNR ExploRA

2022 Report Open Access

InfraScience research activity report 2022
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bove P., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Ottonello E., Pagano P., Panichi G., Pavone G., Piccioli T., Sinibaldi F., Straccia U., Zoppi F.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2022 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2022 InfraScience members contributed to the publishing of several papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual reports, 2022
DOI: 10.32079/isti-ar-2022/004
Project(s): ARIADNEplus , Blue Cloud , EOSC-Pillar , DESIRA , EOSC Future , RISIS 2 , TAILOR , SoBigData-PlusPlus
Metrics:

See at: ISTI Repository | CNR ExploRA

2022 Other Open Access

RISIS tool demonstration event - The OpenAIRE Research Graph: an Open Access resource for research on research
Bardi A., Baglioni M., Atzori C.
RISIS embraces the International Open Access Week 2022 with a session on the OpenAIRE Research Graph: an Open Access dataset with metadata about research products (literature, datasets, software, etc.) linked to other entities of the research ecosystem like organisations, project grants, data sources, and services. The session included a presentation of the graph and a guided practical session where participants can learn how to use the OpenAIRE Research Graph for research and policy-related activities. More information about the event is available on the RISIS2 project web site. The practical part has been conducted on the RISIS Lab Virtual Research Environment of the D4Science infrastructure operated by CNR - ISTI. The Jupyter notebooks can be run on the JupyterHub integrated in the RISIS Lab or in other JupyterHub instances supporting PySpark. The data analysis was performed on a subset of the OpenAIRE Research Graph composed of 848 H2020 projects related to the Sustainable Development Goal Climate Action (SDG13), their funded research products, and their related organizations (risis_dataset.zip). Details on the subset, the model, and other useful documentation is available in the slides.Project(s): RISIS 2 , OpenAIRE Nexus

See at: ISTI Repository | ISTI Repository | CNR ExploRA

2021 Conference article Open Access

Reflections on the misuses of ORCID iDs
Baglioni M., Mannocci A., Manghi P., Atzori C., Bardi A., La Bruzzo S.
Since 2012, the "Open Researcher and Contributor Identification Initiative" (ORCID) has been successfully running a worldwide registry, with the aim of unequivocally pinpoint researchers and the body of knowledge they contributed to. In practice, ORCID clients, e.g., publishers, repositories, and CRIS systems, make sure their metadata can refer to iDs in the ORCID registry to associate authors and their work unambiguously. However, the ORCID infrastructure still suffers from several "service misuses", which put at risk its very mission and should be therefore identified and tackled. In this paper, we classify and qualitatively document such misuses, occurring from both users (researchers and organisations) of the ORCID registry and the ORCID clients. We conclude providing an outlook and a few recommendations aiming at improving the exploitation of the ORCID infrastructure.Source: IRCDL 2021 - 17th Italian Research Conference on Digital Libraries, pp. 117–125, Online conference, 18-19/02/2021
Project(s): OpenAIRE-Advance

See at: ceur-ws.org | ISTI Repository | CNR ExploRA

OpenAIRE research graph: dumps for research communities and initiatives
Manghi P., Atzori C., Bardi A., Baglioni M., Schirrwagen J., Dimitropoulos H., La Bruzzo S., Foufoulas I., Lohden A., Backer A., Mannocci A., Horst M., Czerniak A., Kiatropoulou K., Kokogiannaki A., De Bonis M., Artini M., Ottonello E., Lempesis A., Ioannidis A., Summan F.
This dataset contains dumps of the OpenAIRE Research Graph containing metadata records relevant for the research communities and initiatives collaborating with OpenAIRE. Each dataset is a tar file containing gzip files with one json per line. Each json is compliant to the schema available at DOI: 10.5281/zenodo.3974226DOI: 10.5281/zenodo.3974604
Project(s): RISIS 2 , BE OPEN , OpenAIRE-Advance
Metrics:

See at: CNR ExploRA

OpenAIRE Covid-19 publications, datasets, software and projects metadata
Bardi A., Kuchma I., Pavone G., Artini M., Atzori C., Backer A., Baglioni M., Czerniak A., De Bonis M., Dimitropoulos H., Foufoulas I., Horst M., Iatropoulou K., Jacewicz P., Kokogiannaki A., La Bruzzo S., Lazzeri E., Lohden A., Manghi P., Mannocci A., Manola N., Ottonello E., Schirrwagen J.
This dump provides access to the metadata records of publications, research data, software and projects that may be relevant to the Corona Virus Disease (COVID-19) fight. The dump contains records of the OpenAIRE COVID-19 Gateway (https://covid-19.openaire.eu/), identified via full-text mining and inference techniques applied to the OpenAIRE Research Graph (https://explore.openaire.eu/). The Graph is one of the largest Open Access collections of metadata records and links between publications, datasets, software, projects, funders, and organizations, aggregating 12,000+ scientific data sources world-wide, among which the Covid-19 data sources Zenodo COVID-19 Community, WHO (World Health Organization), BIP! FInder for COVID-19, Protein Data Bank, Dimensions, scienceOpen, and RSNA. The dump consists of a gzip file containing one json per line. Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.3974226DOI: 10.5281/zenodo.3980490
Project(s): OpenAIRE-Advance
Metrics:

See at: CNR ExploRA

2021 Report Open Access

InfraScience Research Activity Report 2020
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., Debole F., Dell'Amico A., Frosini L., La Bruzzo S., Lazzeri E., Lelii L., Manghi P., Mangiacrapa F., Mannocci A., Pagano P., Panichi G., Piccioli T., Sinibaldi F., Straccia U.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2020 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, e\-Sci\-ence, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, \ie D4Science and OpenAIRE. During 2020 InfraScience members contributed to the publishing of 30 papers, to the research and development activities of 12 research projects (11 funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual Report, ISTI-2021-AR/002, pp.1–20, 2021
DOI: 10.32079/isti-ar-2021/002
Project(s): ARIADNEplus , Blue Cloud , PerformFISH , EOSC-Pillar , DESIRA , EOSCsecretariat.eu , RISIS 2 , TAILOR , I-GENE , MOVING , OpenAIRE-Advance , SoBigData-PlusPlus
Metrics:

See at: ISTI Repository | CNR ExploRA

2021 Journal article Open Access

We can make a better use of ORCID: five observed misapplications
Baglioni M., Manghi P., Mannocci A., Bardi A.
Since 2012, the "Open Researcher and Contributor ID" organisation (ORCID) has been successfully running a worldwide registry, with the aim of "providing a unique, persistent identifier for individuals to use as they engage in research, scholarship, and innovation activities". Any service in the scholarly communication ecosystem (e.g., publishers, repositories, CRIS systems, etc.) can contribute to a non-ambiguous scholarly record by including, during metadata deposition, referrals to iDs in the ORCID registry. The OpenAIRE Research Graph is a scholarly knowledge graph that aggregates both records from the ORCID registry and publication records with ORCID referrals from publishers and repositories worldwide to yield research impact monitoring and Open Science statistics. Graph data analytics revealed "anomalies" due to ORCID registry "misapplications", caused by wrong ORCID referrals and misexploitation of the ORCID registry. Albeit these affect just a minority of ORCID records, they inevitably affect the quality of the ORCID infrastructure and may fuel the rise of detractors and scepticism about the service. In this paper, we classify and qualitatively document such misapplications, identifying five ORCID registrant-related and ORCID referral-related anomalies to raise awareness among ORCID users. We describe the current countermeasures taken by ORCID and, where applicable, provide recommendations. Finally, we elaborate on the importance of a community-steered Open Science infrastructure and the benefits this approach has brought and may bring to ORCID.Source: Data science journal 20 (2021): 1–12. doi:10.5334/dsj- 2021-038
DOI: 10.5334/dsj-2021-038
Project(s): OpenAIRE-Connect
Metrics:

See at: datascience.codata.org | ISTI Repository | CNR ExploRA

2021 Report Open Access

Be Open - D3.2: TOPOS development
Spanidis P., Giannakari O., Garcia C., Anagnostopoulou A., Bardi A., Dimitropoulos H., Foufoulas Y., Baglioni M.
This deliverable describes the design and implementation of the TOPOS forum and observatory. More analytically, it describes the methodology selected for each particular tool together with the technologies that have been used for the implementation of these tools. D3.2 is organized in 8 chapters. The first one is an introductory chapter presenting the aim and objectives of the current deliverable, the second describes the interconnection between Task 3.1 and Task 3.2. Chapter 3 deals with the TOPOS Gateway while Chapters 4 and 5 present the actual tools that have been developed (Observatory and Forum). Deliverable's conclusions are hosted in the last chapter.Source: ISTI Project Report, Be Open, D3.2, 2021
DOI: 10.5281/zenodo.4585548
DOI: 10.5281/zenodo.4585547
Project(s): BE OPEN
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See at: ZENODO | ZENODO | ISTI Repository | CNR ExploRA

2020 Conference article Open Access

Context-Driven Discoverability of Research Data
Baglioni M., Manghi P., Mannocci A.
Research data sharing has been proved to be key for accelerating scientific progress and fostering interdisciplinary research; hence, the ability to search, discover and reuse data items is nowadays vital in doing science. However, research data discovery is yet an open challenge. In many cases, descriptive metadata exhibit poor quality, and the ability to automatically enrich metadata with semantic information is limited by the data files format, which is typically not textual and hard to mine. More generally, however, researchers would like to find data used across different research experiments or even disciplines. Such needs are not met by traditional metadata description schemata, which are designed to freeze research data features at deposition time. In this paper, we propose a methodology that enables "context-driven discovery" for research data thanks to their proven usage across research activities that might differ from the original one, potentially across diverse disciplines. The methodology exploits the collection of publication-dataset and dataset-dataset links provided by OpenAIRE Scholexplorer data citation index so to propagate articles metadata into related research datasets by leveraging semantic relatedness. Such "context propagation" process enables the construction of "context-enriched" metadata of datasets, which enables "context-driven" discoverability of research data. To this end, we provide a real-case evaluation of this technique applied to Scholexplorer. Due to the broad coverage of Scholexplorer, the evaluation documents the effectiveness of this technique at improving data discovery on a variety of research data repositories and databases.Source: 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, pp. 197–211, Lyon, France, August 25-27, 2020
DOI: 10.1007/978-3-030-54956-5_15
Project(s): OpenAIRE-Advance
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See at: ZENODO | zenodo.org | Lecture Notes in Computer Science | link.springer.com | CNR ExploRA