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
Metrics:

See at: CNR ExploRA

2022 Report Open Access

Open Science repository platforms
Manghi P., Artini M., La Bruzzo S., Ottonello E., Pavone G.
Institutional and thematic repositories today play a key role in scholarly communication and more broadly in scientific workflows. Many institutions and communities have set the ambitious goal of providing an open access repository for their community of users. However, given the amount of expectations from their users, choosing the right solution is often a non-trivial choice. Some platforms may be served out-of-the-box, to be put in operation after straightforward configurations, but are in general less customizable to adhere to specific functional, non-functional, or contextual needs. Other platforms may be instead extremely customizable and flexible but require skilled personnel for their adaptation and deployment. This report performs an analysis of existing state-of-the-art Open Source repository solutions from the functional, operational, and software perspectives. As a result of the analysis, it will factor out the pros and cons of such solutions and identify typical scenarios of adoption.Source: ISTI Technical Report, ISTI-2022-TR/009, 2022
DOI: 10.32079/isti-tr-2022/009
Project(s): OpenAIRE Nexus
Metrics:

See at: ISTI Repository | CNR ExploRA

2022 Report Open Access

Bioschemas data sources aggregation to OpenAIRE Research Graph
Ottonello E., Artini M., La Bruzzo S., Pavone G.
In this report we propose an extended Hadoop-based aggregator for the harvesting of Bioschemas data sources. In this extended hadoop-based aggregator, the downloaded data will be processed according to the consolidated data flow: the original contents will be mapped onto an internal representation that will make them eligible to be integrated in the OpenAIRE research graph.Source: ISTI Technical Report, ISTI-2022-TR/010, 2022
DOI: 10.32079/isti-tr-2022/010
Project(s): EOSC Future , OpenAIRE Nexus
Metrics:

See at: ISTI Repository | 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

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

Scholexplorer-API
La Bruzzo S. F.
The Scholix API allows clients to run REST queries over the Scholexplorer index in order to fetch links matching given criteria. In the current version, clients can search for: Links whose source object has a given PID or PID type; Links whose source object has been published by a given data source ("data source as publisher") Links that were collected from a given data source ("data source as provider").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

OpenAIRE Research Graph deduplication workflow
La Bruzzo S. F., Artini M., Atzori C., Bardi A., Baglioni M., De Bonis M., Mannocci A., Manghi P., Pavone G.
The OpenAIRE aggregation workflow can collect metadata records from different providers about the same scholarly work. Each metadata record can carry different information because, for example, some providers are not aware of links to projects, keywords, or other details. Another typical case is when OpenAIRE collects one metadata record from a repository about a pre-print and another from a journal about the published article. To provide correct statistics, OpenAIRE must identify those cases and "merge" the two metadata records so that the scholarly work is counted only once in the statistics OpenAIRE produces. This technical Report describes the Deduplication workflow and technique adopted to deduplicate the OpenAIRE Graph.Source: ISTI Technical Report, ISTI-2022-TR/032, 2022
DOI: 10.32079/isti-tr-2022/032
Project(s): OpenAIRE-Connect , OpenAIRE Nexus
Metrics:

See at: ISTI Repository | CNR ExploRA

2022 Report Open Access

OpenOrgs: a tool for the disambiguation of organizations
Artini M., La Bruzzo S. F., De Bonis M., Pavone G.
Organizations appear all over the Research & Innovation ecosystem in different shapes and formats: the same organization may appear with different metadata fields, different names - e.g., full legal name, short or alternative names, acronym. The ambiguity of organizations results in a huge deficiency in the exchange of information, the findability of research products, the monitoring of activities, and ultimately building a linked open scholarly communication system. OpenOrgs combines an automated process and human curation to compensate for the lack of information available and improve the organization's discoverability.Source: ISTI Technical Report, ISTI-2022-TR/034, 2022
DOI: 10.32079/isti-tr-2022/034
Project(s): OpenAIRE-Advance , OpenAIRE Nexus
Metrics:

See at: ISTI Repository | CNR ExploRA

2022 Report Open Access

Scholexplorer activity report 2022
La Bruzzo S. F., Manghi P.
Scholexplorer is a service that accepts publications-data or data-data links from validated sources, builds a de-duplicated graph and provides access to it. ScholExplorer is an implementation of the Scholix initiative (an RDA and WDS). This document is a report on the Scholexplorer installations operation activity after two years of operation, including a detailed set of indicators.Source: ISTI Technical Report, ISTI-2022-TR/035, 2022
DOI: 10.32079/isti-tr-2022/035
Project(s): 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

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

2021 Conference article Open Access

BIP! DB: a dataset of impact measures for scientific publications
Vergoulis T., Kanellos I., Atzori C., Mannocci A., Chatzopoulos S., La Bruzzo S., Manola N., Manghi P.
The growth rate of the number of scientific publications is constantly increasing, creating important challenges in the identification of valuable research and in various scholarly data management applications, in general. In this context, measures which can effectively quantify the scientific impact could be invaluable. In this work, we present BIP! DB, an open dataset that contains a variety of impact measures calculated for a large collection of more than 100 million scientific publications from various disciplines.Source: WWW 2021 - Companion of the World Wide Web Conference, pp. 456–460, Online conference, 13/04/2021
DOI: 10.1145/3442442.3451369
DOI: 10.48550/arxiv.2101.12001
Project(s): OpenAIRE-Advance , OpenAIRE Nexus
Metrics:

See at: arXiv.org e-Print Archive | arxiv.org | ISTI Repository | dl.acm.org | doi.org | doi.org | 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

2019 Conference article Open Access

OpenAIRE's DOIBoost - Boosting Crossref for Research
La Bruzzo S., Manghi P., Mannocci A.
Research in information science and scholarly communication strongly relies on the availability of openly accessible datasets of scholarly entities metadata and, where possible, their relative payloads. Since such metadata information is scattered across diverse, freely accessible, online resources (e.g. Crossref, ORCID), researchers in this domain are doomed to struggle with (meta)data integration problems, in order to produce custom datasets of often undocumented and rather obscure provenance. This practice leads to waste of time, duplication of efforts, and typically infringes open science best practices of transparency and reproducibility of science. In this article, we describe how to generate DOIBoost, a metadata collection that enriches Crossref with inputs from Microsoft Academic Graph, ORCID, and Unpaywall for the purpose of supporting high-quality and robust research experiments, saving times to researchers and enabling their comparison. To this end, we describe the dataset value and its schema, analyse its actual content, and share the software Toolkit and experimental workflow required to reproduce it. The DOIBoost dataset and Software Toolkit are made openly available via Zenodo.org. DOIBoost will become an input source to the OpenAIRE information graph.Source: IRCDL 2019 - Italian Research Conference on Digital Libraries, pp. 133–143, Pisa, Italy, 31/01/2019, 01/2/2019
DOI: 10.1007/978-3-030-11226-4_11
Project(s): OpenAIRE-Advance
Metrics:

See at: ISTI Repository | oro.open.ac.uk | link.springer.com | link.springer.com | CNR ExploRA

2019 Report Open Access

See at: ISTI Repository | CNR ExploRA

OpenAIRE scholeXplorer service: Scholix JSON Dump
La Bruzzo S., Manghi P.
This dataset contains the GZ-compressed dump of the Scholix links (schema Version 3) exposed by the OpenAIRE ScholeXplorer service. The dataset doubled since its last version and consists of 240+Mi bi-directional links (i.e. 480+Mi directed links) between literature-dataset and dataset-dataset involving 17+ Mi literature objects and 50+ Mi datasets. Links were collected from publishers (CrossRef, EventData), data centers (DataCite), institutional/thematic repositories (OpenAIRE), and life-science databases (EMBL-EBI). The links are organized in ~1000 compressed files, each of at most 50MB, for a total of ~38GB.Project(s): OpenAIRE-Advance , RDA EUROPE

See at: CNR ExploRA | zenodo.org