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2021 Conference article Open Access OPEN

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 via OpenAIRE

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


2021 Conference article Open Access OPEN

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: Sci-K 2021 - 1st International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment. Co-located with The Web Conf 2021, Online conference, 13/04/2021
Project(s): OpenAIRE-Advance via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access | sci-k.github.io Open Access


2021 Dataset Unknown

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 via OpenAIRE, BE OPEN via OpenAIRE, OpenAIRE-Advance via OpenAIRE

See at: CNR ExploRA


2021 Dataset Unknown

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 via OpenAIRE

See at: CNR ExploRA


2020 Journal article Open Access OPEN

Entity deduplication in big data graphs for scholarly communication
Manghi P., Atzori C., De Bonis M., Bardi A.
Purpose: Several online services offer functionalities to access information from "big research graphs" (e.g. Google Scholar, OpenAIRE, Microsoft Academic Graph), which correlate scholarly/scientific communication entities such as publications, authors, datasets, organizations, projects, funders, etc. Depending on the target users, access can vary from search and browse content to the consumption of statistics for monitoring and provision of feedback. Such graphs are populated over time as aggregations of multiple sources and therefore suffer from major entity-duplication problems. Although deduplication of graphs is a known and actual problem, existing solutions are dedicated to specific scenarios, operate on flat collections, local topology-drive challenges and cannot therefore be re-used in other contexts. Design/methodology/approach: This work presents GDup, an integrated, scalable, general-purpose system that can be customized to address deduplication over arbitrary large information graphs. The paper presents its high-level architecture, its implementation as a service used within the OpenAIRE infrastructure system and reports numbers of real-case experiments. Findings: GDup provides the functionalities required to deliver a fully-fledged entity deduplication workflow over a generic input graph. The system offers out-of-the-box Ground Truth management, acquisition of feedback from data curators and algorithms for identifying and merging duplicates, to obtain an output disambiguated graph. Originality/value: To our knowledge GDup is the only system in the literature that offers an integrated and general-purpose solution for the deduplication graphs, while targeting big data scalability issues. GDup is today one of the key modules of the OpenAIRE infrastructure production system, which monitors Open Science trends on behalf of the European Commission, National funders and institutions.Source: Data technologies and applications 54 (2020): 409–435. doi:10.1108/DTA-09-2019-0163
DOI: 10.1108/dta-09-2019-0163
Project(s): OpenAIRE2020 via OpenAIRE, OpenAIRE-Advance via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access | www.emerald.com Open Access | Data Technologies and Applications Restricted | Data Technologies and Applications Restricted | Data Technologies and Applications Restricted | Data Technologies and Applications Restricted


2019 Report Open Access OPEN

The OpenAIRE research graph: third-party publishing APIs
Atzori C., Baglioni M., Bardi A., Manghi P., La Bruzzo S., De Bonis M., Dell'Amico A., Artini M., Mannocci A., Ottonello E.
This work describes the specification of the OpenAIRE publishing APIs that support third-party services at publishing metadata about interlinked and packaged research products into the OpenAIRE Research Graph, in respect of the OpenAIRE interoperability guidelines (https://guidelines.openaire.eu). Research products generated by researchers using services of research infrastructures are today manually published by researchers in a repository external to their research infrastructure. This phase is often considered an extra burden, because researchers have to fill in metadata forms with information that is already available in the scope of the services they used. By using the OpenAIRE publishing APIs, services of research infrastructures can implement an on-demand publishing workflow for any type of research products to support their researchers at improving the FAIRness of their research products and relief them from the tedious step of finding a suitable repository and manually depositing the products in it.Source: ISTI Technical reports, 2019

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2019 Conference article Open Access OPEN

The OpenAIRE Research Community Dashboard: On Blending Scientific Workflows and Scientific Publishing
Baglioni M., Bardi A., Kokogiannaki A., Manghi P., Iatropoulou K., Principe P., Vieira A., Nielsen L. H., Dimitropoulos H., Foufoulas I., Manola N., Atzori C., La Bruzzo S., Lazzeri E., Artini M., De Bonis M., Dell'Amico A.
Despite the hype, the effective implementation of Open Science is hindered by several cultural and technical barriers. Researchers embraced digital science, use "digital laboratories" (e.g. research infrastructures, thematic services) to conduct their research and publish research data, but practices and tools are still far from achieving the expectations of transparency and reproducibility of Open Science. The places where science is performed and the places where science is published are still regarded as different realms. Publishing is still a post-experimental, tedious, manual process, too often limited to articles, in some contexts semantically linked to datasets, rarely to software, generally disregarding digital representations of experiments. In this work we present the OpenAIRE Research Community Dashboard (RCD), designed to overcome some of these barriers for a given research community, minimizing the technical efforts and without renouncing any of the community services or practices. The RCD flanks digital laboratories of research communities with scholarly communication tools for discovering and publishing interlinked scientific products such as literature, datasets, and software. The benefits of the RCD are show-cased by means of two real-case scenarios: the European Marine Science community and the European Plate Observing System (EPOS) research infrastructure.Source: 23rd International Conference on Theory and Practice of Digital Libraries, TPDL, pp. 56–69, Oslo, Norway, September 9-12, 2019
DOI: 10.1007/978-3-030-30760-8_5
DOI: 10.5281/zenodo.3467104
DOI: 10.5281/zenodo.3467103
Project(s): OpenAIRE-Connect via OpenAIRE, OpenAIRE-Advance via OpenAIRE

See at: ISTI Repository Open Access | repositorium.sdum.uminho.pt Open Access | ZENODO Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | link.springer.com Restricted | link.springer.com Restricted | CNR ExploRA Restricted | rd.springer.com Restricted


2019 Dataset Unknown

OpenAIRE Research Graph Dump
Manghi P., Atzori C., Bardi A., Schirrwagen J., Dimitropoulos H., La Bruzzo S., Foufoulas I., Loehden A., Baecker A., Mannocci A., Horst M., Baglioni M., Czerniak A., Kiatropoulou K., Kokogiannaki A., De Bonis M., Artini M., Ottonello E., Lempesis A., Nielsen L. H., Ioannidis A., Bigarella C., Summan F.
The OpenAIRE Research Graph is one of the largest open scholarly record collections worldwide, key in fostering Open Science and establishing its practices in the 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 in the hands of the scientific community. Imagine a vast collection of research products all linked together, contextualised and openly available. For the past ten years OpenAIRE has been working to gather this valuable record. OpenAIRE is pleased to announce the beta release of its Research Graph, a massive collection of metadata and links between scientific products such as articles, datasets, software, and other research products, entities like organisations, funders, funding streams, projects, communities, and data sources. As of today, the OpenAIRE Research Graph aggregates around 450Mi metadata records with links collecting from 10,000 data sources trusted by scientists, including repositories registered in OpenDOAR, Open Access journals registered in DOAJ, Crossref, Unpaywall, ORCID and Microsoft Academic Graph. After cleaning, deduplication, and fine-grained classification processes, they narrow down to ~100Mi publications, ~8Mi datasets, ~200K software research products, 8Mi other products linked together with semantic relations. More than 10Mi full-texts of Open Access publications are mined by algorithms to enrich metadata records with additional properties and links among research products, funders, projects, communities, and organizations. Thanks to the mining algorithm, the graph is completed with 480Mi semantic relations. The OpenAIRE Research graph is available via our BETA Explore Portal and you can download it from Zenodo.DOI: 10.5281/zenodo.3516918
Project(s): OpenAIRE-Advance via OpenAIRE

See at: CNR ExploRA


2019 Report Open Access OPEN

The OpenAIRE Research Graph Data Model
Manghi P., Bardi A., Atzori C., Baglioni M., Manola N., Schirrwagen J., Principe P.
The purpose of the European OpenAIRE infrastructure is to facilitate, foster, support, and monitor Open Science scholarly communication in Europe. The infrastructure has been operational for almost a decade and successful in linking people, ideas and resources in support of the free flow, access, sharing, and re-use of research outcomes. To this aim it offers dissemination and training on Open Access and Open Science, facilitates exchange of knowledge, and operates the technical services required to facilitate and monitor Open Science publishing trends and research impact across geographic and discipline boundaries. OpenAIRE services populate a research graph whose objects are scientific results, organizations, funders, communities, organizations, and data sources. In this article we describe the data model, inspired by several existing metadata standards.Source: ISTI Technical reports, 2019
DOI: 10.5281/zenodo.2643199
DOI: 10.5281/zenodo.2643198
Project(s): OPENAIREPLUS via OpenAIRE, OPENAIRE via OpenAIRE, OpenAIRE2020 via OpenAIRE, OpenAIRE-Connect via OpenAIRE, OpenAIRE-Advance via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access | ZENODO Open Access


2019 Journal article Open Access OPEN

OpenAIRE: Advancing open science
Manghi P., Artini M., Atzori C., Baglioni M., Bardi A., La Bruzzo S., De Bonis M., Dimitropoulos H., Foufoulas I., Iatropoulou K., Manola N., Martziou S., Principe P.
OpenAIRE, the point of reference for Open Access in Europe, is now addressing the problem of enabling the Open Science paradigm. To this aim it will provide services to: (i) overcome the limits of today's scientific communication landscape, by allowing research communities and the relative e-infrastructures to fully publish, interlink, package and reuse their research artefacts (e.g. literature, data, and software) and their funding grants within the European and global ecosystem as supported/promoted by OpenAIRE, (ii) enable end-users (e.g. researchers, funder officers) to search and consult a rich and up-to-date knowledge graph of research results and (iii) enable scientific and educational information repositories and publishers to subscribe and be notified of changes in the OpenAIRE knowledge graph. These combined actions will bring long-term and immediate benefits to research communities, research organisations, repository managers, and funders by affecting the way research results are disseminated and reused. On the one hand, publishing the interlinked and packaged research literature, data and software via OpenAIRE drives research communities to an Open Science transition in a consistent and interoperable fashion. On the other hand, the resulting infrastructure concretely enables the construction of Open Science oriented services, supporting practices such as machine-assisted research reproducibility and evaluation.Source: The Grey journal (Print) 15 (2019): 141–146.
Project(s): OpenAIRE-Connect via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Restricted


2018 Conference article Open Access OPEN

GDup: De-duplication of Scholarly Communication Big Graphs
Atzori C., Manghi P., Bardi A.
Today, several online services offer functionalities to access information from big scholarly communication graphs, which interlink entities such as publications, authors, datasets, organizations, etc. Such graphs are often populated over time as aggregations of multiple sources and therefore suffer from entity duplication problems. Although deduplication of graphs is a known and actual problem, solutions tend to be dedicated and address a few of the underlying challenges. In this paper, we propose the GDup system, 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, inclusive of 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.Source: 2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT), pp. 142–151, Zurigo, 17-20/12/2018
DOI: 10.1109/bdcat.2018.00025
Project(s): OpenAIRE2020 via OpenAIRE, OpenAIRE-Advance via OpenAIRE

See at: ISTI Repository Open Access | ISTI Repository Open Access | ZENODO Open Access | zenodo.org Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | ieeexplore.ieee.org Restricted | CNR ExploRA Restricted | xplorestaging.ieee.org Restricted


2018 Conference article Open Access OPEN

De-duplicating the OpenAIRE scholarly communication big graph
Atzori C., Manghi P., Bardi A.
The OpenAIRE infrastructure populates a scholarly communication big graph interlinking metadata objects of publications, datasets, software, organizations, funders, and projects. In order to de-duplicate this graph, OpenAIRE has developed GDup, an integrated, scalable, general-purpose system for entity deduplication over big information graphs. GDup offers functionalities to realize a hilly-fledged entity deduplication workflow over a generic input graph, inclusive of Ground Truth support, end-user feedback, and strategies for identifying and merging duplicates to obtain an output disambiguated graph.Source: e-science 2018 - 14th IEEE International Conference on e-Science (e-Science), pp. 372–373, Amsterdam, the Netherlands, 29 October - 01 November 2018
DOI: 10.1109/escience.2018.00104
DOI: 10.5281/zenodo.1489139
DOI: 10.5281/zenodo.1489140
Project(s): OpenAIRE2020 via OpenAIRE, OpenAIRE-Advance via OpenAIRE

See at: ISTI Repository Open Access | ZENODO Open Access | zenodo.org Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | ieeexplore.ieee.org Restricted | CNR ExploRA Restricted | xplorestaging.ieee.org Restricted


2018 Conference article Open Access OPEN

OpenAIRE: Advancing open science
Manghi P., Artini M., Atzori C., Baglioni M., Bardi A., La Bruzzo S., De Bonis M., Dimitropoulos H., Foufoulas I., Iatropoulou K., Manola N., Martziou S., Principe P.
OpenAIRE, the point of reference for Open Access in Europe, is now addressing the problem of enabling the Open Science paradigm. To this aim it will provide services to: (i) overcome the limits of today's scientific communication landscape, by allowing research communities and the relative e-infrastructures to fully publish, interlink, package and reuse their research artefacts (e.g. literature, data, and software) and their funding grants within the European and global ecosystem as supported/promoted by OpenAIRE, (ii) enable end-users (e.g. researchers, funder officers) to search and consult a rich and up-to-date knowledge graph of research results and (iii) enable scientific and educational information repositories and publishers to subscribe and be notified of changes in the OpenAIRE knowledge graph. These combined actions will bring long-term and immediate benefits to research communities, research organisations, repository managers, and funders by affecting the way research results are disseminated and reused. On the one hand, publishing the interlinked and packaged research literature, data and software via OpenAIRE drives research communities to an Open Science transition in a consistent and interoperable fashion. On the other hand, the resulting infrastructure concretely enables the construction of Open Science oriented services, supporting practices such as machine-assisted research reproducibility and evaluation.Source: GL19 - Nineteenth International Conference on Grey Literature, pp. 107–112, Roma, Italy, 23-24 October 2017
DOI: 10.26069/greynet-2018-000.010-gg
Project(s): OpenAIRE-Connect via OpenAIRE

See at: greyguide.isti.cnr.it Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2017 Contribution to book Open Access OPEN

The OpenAIRE workflows for data management
Atzori C., Bardi A., Manghi P., Mannocci A.
The OpenAIRE initiative is the point of reference for Open Access in Europe and aims at the creation of an e-Infrastructure for the free flow, access, sharing, and re-use of research outcomes, services and processes for the advancement of research and the dissemination of scientific knowledge. OpenAIRE makes openly accessible a rich Information Space Graph (ISG) where products of the research life-cycle (e.g. publications, datasets, projects) are semantically linked to each other. Such an information space graph is constructed by a set of autonomic (orchestrated) workflows operating in a regimen of continuous data integration. This paper discusses the principal workflows operated by the OpenAIRE technical infrastructure in its different functional areas and provides the reader with the extent of the several challenges faced and the solutions realized.Source: Digital Libraries and Archives, edited by Costantino Grana, Lorenzo Baraldi, pp. 95–107, 2017
DOI: 10.1007/978-3-319-68130-6_8
DOI: 10.5281/zenodo.996006
DOI: 10.5281/zenodo.996005
Project(s): OpenAIRE2020 via OpenAIRE

See at: ZENODO Open Access | zenodo.org Open Access | academic.microsoft.com Restricted | core.ac.uk Restricted | dblp.uni-trier.de Restricted | link.springer.com Restricted | link.springer.com Restricted | CNR ExploRA Restricted | rd.springer.com Restricted


2017 Contribution to conference Open Access OPEN

OpenAIRE: The OpenScience European Infrastructure
Artini M., Atzori C., Baglioni M., Bardi A., Biagioni S., De Bonis M., Dell'Amico A., La Bruzzo S., Manghi P.
OpenAIRE , the point of reference for Open Access in Europe, is now addressing the problem of enabling the Open Science paradigm. To this aim it will provide services to: (i) overcome the limits of today's scientific communication landscape, by allowing research communities and the relative e-infrastructures to fully publish, interlink, package and reuse their research artefacts (e.g. literature, data, and software) and their funding grants within the European and global ecosystem as supported/promoted by OpenAIRE, (ii) enable end-users (e.g. researchers, funder officers) to search and consult a rich and up-to-date knowledge graph of research results and (iii) enable scientific and educational information repositories and publishers to subscribe and be notified of changes in the OpenAIRE knowledge graph. These combined actions will bring long-term and immediate benefits to research communities, research organisations, repository managers, and funders by affecting the way research results are disseminated and reused. On the one hand, publishing the interlinked and packaged research literature, data and software via OpenAIRE drives research communities to an Open Science transition in a consistent and interoperable fashion. On the other hand, the resulting infrastructure concretely enables the construction of Open Science oriented services, supporting practices such as machine-assisted research reproducibility and evaluation.Source: Nineteenth International Conference on Grey Literature - Public Awareness and Access to Grey Literature, pp. 13–13, Roma, CNR, 23-24 October 2017
Project(s): OpenAIRE-Advance via OpenAIRE

See at: greyguide.isti.cnr.it Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2017 Report Restricted

OpenAIRE - D4.1 OpenAIREdata model extension
Manghi P., Atzori C., Bardi A., Baglioni M., Zoppi F.
The aim of this deliverable is to describe how the OpenAIRE data model is extended for the representation of artefacts different from publications and datasets. In particular, OpenAIRE-Connect extends the OpenAIRE data model with: (i) entities for there presentation of research communities, research methods and research packages; (ii) relationships between those new entities and the already existing OpenAIRE entities; (iii) new controlled vocabularies for properties of research methods and packages; and(iv) new termstobeaddedtocontrolledvocabulariesalreadyinusebytheOpenAIREinfrastructure. Requirements have been collected from the research communities involved in OpenAIRE-Connect, which helpedthedefinitionofthemodelextensionsbyspecifyingtheircurrentpracticeanddesiderataaboutthe publishingofresearchartefactsintheirspecificdiscipline.Inadditiontotherequirementsoftheresearch communities, requirements and expectations from the existing "consumers" of the OpenAIRE infrastructure, including data sources (providing content to OpenAIRE), portal end-users of various roles (researchers, project coordinators, general public, research communities), OpenAIRE data curators (responsibleoftheworkflowsforcollecting,harmonizing,de-duplicating,inferringcontent),andthird-party services(accessing content via APIs), have been considered. The data model will be subject to changes in the future, depending on the evolution of the requirements of the OpenAIRE infrastructure and of the communities involved in OpenAIRE-Connect.Source: Project report, OpenAIRE, Deliverable D4.1, 2017
Project(s): OpenAIRE-Connect via OpenAIRE

See at: CNR ExploRA Restricted | support.d4science.org Restricted


2017 Report Restricted

OpenAIRE - OpenAIRE back-end and Invenio upgrade: specification and releaseplan
Manghi P., Atzori C., Bardi A., Baglioni M., Nielsen L. H.
The aim of this document is to explain in detail how the software release plan for upgrading OpenAIRE back-ends and Invenio according to the data model described in D4.1OpenAIREDatamodelextension will be accomplished by the technical partners. For this, it will illustrate the plan of design, development, testing, and integration into beta and production of the infrastructure services to be delivered by T4.1 (OpenAIRE extension to research methods and artifact packages) and T4.2 OpenAIRE's Zenodo for research methodsandartifactpackages).Theplan's technical activities will be supervised and led by CNR and carried out across the technical partners CNR and CERN, in synergy with the partners Jisc, UMinho, UniHB, PIN, CNRS,IRD,ICRE8. The deliverable is on-going and will be updated at M15 (before first BETA release of the service), M23 (beforesecondBETAreleaseoftheservice),andM27 (beforeproductionreleaseoftheservice).The first release of this document reports on extensions to be provided byM8. Toease the update of the planand support the collaborativeapproach, the deliverableis published as a wiki and is available at https://support.d4science.org/projects/openaire-connect-wiki/wiki/D4_2.Source: Project report, OpenAIRE, Deliverable D4.2, 2017
Project(s): OpenAIRE-Connect via OpenAIRE

See at: CNR ExploRA Restricted | support.d4science.org Restricted


2017 Report Restricted

OpenAIRE - OpenAIRE publishing APIs: specification and release plan
Manghi P., Bardi A., Baglioni M., Atzori C.
The aim of this deliverable is to provide the specification of the software and the release plan for the OpenAIRE publishing APIsthat support third-party services at publishingmetadata about interlinked and packaged research productsin to the OpenAIRE Information Graph. The OpenAIRE publishing APIs supports the concept of "continuous publishing" in digital research settings where researchers conduct their activities in digital laboratories using ICT tools and services for processing and analysing research data. By using the OpenAIRE publishing APIs, a service/tool can automatically publish metadata on behalf of the researchers. The service/tool and its underlying infrastructure is responsible for keeping persistent identifiers, preserving the payload of the objects and the metadata.The service pushes metadata into OpenAIRE,the effect being: o the metadata record is immediately visible via the OpenAIRE search portal and APIs; o the metadata record will be cleaned and de-duplicated in a second stage according to the OpenAIRE content provision workflow described at https://www.openaire.eu/aggregation-and-contentprovision-workflows and http://doi.org/10.5281/zenodo.996006. Researchers benefit from a service that uses the OpenAIRE publishing APIs in several ways: o The service will support the generation of metadata to improve the FAIRness of the relative research products; o Researchers are relieved of the burden of depositing the products they want to publish in a repositoryexternaltotheirdigitallaboratory; o Researchers can choose to publish research products at any step of their research activity. The full specification of the APIs are published as a wiki and available at https://support.d4science.org/projects/openaire-connect-wiki/wiki/D4_5.Source: Project report, OpenAIRE, Deliverable D4.5, 2017
Project(s): OpenAIRE-Connect via OpenAIRE

See at: CNR ExploRA Restricted | support.d4science.org Restricted


2017 Report Restricted

OpeanAIRE - Catch-All Notification BrokerBack-end: specification and release plan
Atzori C., Baglioni M., Bardi A., Manghi P.
The aim of this deliverable is to present the functional requirements, a specification of the software,and a release plan for the deployment of the OpenAIRE-connect Catch-All Notification Broker Service ( CAB Service ). The CAB Service will connect all types of research artefacts providers(institutional repositories,publishers, data, repositories,and CRIS systems) and allow them to subscribe and be notified by OpenAIRE of events interesting to them. These notifications will comprise: 1) the existence of artefacts of interest to the providers (which may pertain their collection) 2)the existence of links from artefacts in their collection to other artefacts. The CAB Service will extend OpenAIRE's notification brokering services, which serves literature repositories, and will broaden the content provider base with the ones that serve specific research communities. Content provider managers will be allowed to register as consumers of the service, set and test the service (preview the results of the service over some subscriptions), to commit their subscriptions, and finally to manage their history of notifications overtime. The broker service will be tested in two bata releases and changed and/or updated following the requirements obtained from the betas. The deliverable is published as a wiki and is available at https://support.d4science.org/projects/openaire-connect-wiki/wiki/D5_1.Source: Project report, OpenAIRE, Deliverable D5.1, 2017
Project(s): OpenAIRE-Connect via OpenAIRE

See at: CNR ExploRA Restricted | support.d4science.org Restricted


2017 Contribution to book Open Access OPEN

Realizing a Scalable and History-Aware Literature Broker Service for OpenAIRE
Manghi P., Atzori C., Bardi A., La Bruzzo S., Artini M.
The OpenAIRE infrastructure is the point of reference for Open Science in Europe. Its services populate and provide access to a graph of objects relative to publications, datasets, people, organizations, projects, and funders aggregated from a variety of data sources, such as institutional repositories, data archives, journals, and CRIS systems. Not only, objects in the graph are harmonized to achieve semantic homogeneity, de-duplicated and merged, and enriched by inference with missing properties and/or relationships. The OpenAIRE Literature Broker Service is designed to offer subscription and notification functionalities for institutional repositories to: (i) learn about publication objects in OpenAIRE that do not appear in their collection but may be pertinent to it, and (ii) learn about extra properties or relationships relative to publication objects in their collection. Due to the high variability of the information space the following problems may arise: (i) subscriptions may vary over time to adapt to information space evolution, (ii) repository managers need to be able to quickly test their configurations before activating them, (iii) notifications may be redundant, and (iv) notifications may be very large over time. This paper presents the data model and software architecture of the OLBS, specifically designed to address these issues.Source: Digital Libraries and Multimedia Archives. IRCDL 2016. Communications in Computer and Information Science, edited by Agosti M.; Bertini M.; Ferilli S.; Marinai S.; Orio N., pp. 92–103, 2017
DOI: 10.1007/978-3-319-56300-8_9
DOI: 10.5281/zenodo.1175907
DOI: 10.5281/zenodo.1175908
Project(s): OpenAIRE2020 via OpenAIRE

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