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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


2019 Conference article Open Access OPEN

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 via OpenAIRE

See at: ISTI Repository Open Access | oro.open.ac.uk Open Access | link.springer.com Restricted | link.springer.com Restricted | CNR ExploRA 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 Dataset Unknown

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 via OpenAIRE, RDA EUROPE via OpenAIRE

See at: CNR ExploRA | zenodo.org


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 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 Software Unknown

DOIBoost software toolkit 1.0
La Bruzzo S.
Research in information science and scholarly communication strongly relies on the availability of openly accessible datasets of metadata and, where possible, their relative payloads. To this end, CrossRef plays a pivotal role by providing free access to its entire metadata collection, and allowing other initiatives to link and enrich its information. Therefore, a number of key pieces of information result scattered across diverse datasets and resources freely available online. As a result of this fragmentation, researchers in this domain end up struggling with daily integration problems producing a plethora of ad-hoc datasets, therefore incurring in a waste of time, resources, and infringing open science best practices. This software package the spark scripts 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.Project(s): OpenAIRE-Advance via OpenAIRE

See at: CNR ExploRA | zenodo.org


2018 Dataset Unknown

DOIBoost Dataset Dump
La Bruzzo S., Manghi P., Mannocci A.
Research in information science and scholarly communication strongly relies on the availability of openly accessible datasets of metadata and, where possible, their relative payloads. To this end, CrossRef plays a pivotal role by providing free access to its entire metadata collection, and allowing other initiatives to link and enrich its information. Therefore, a number of key pieces of information result scattered across diverse datasets and resources freely available online. As a result of this fragmentation, researchers in this domain end up struggling with daily integration problems producing a plethora of ad-hoc datasets, therefore incurring in a waste of time, resources, and infringing open science best practices. DOIBoost is 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.Project(s): OpenAIRE-Advance via OpenAIRE

See at: CNR ExploRA | zenodo.org


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 Journal article Open Access OPEN

The data-literature interlinking service: towards a common infrastructure for sharing data-article links
Burton A., Koers H., Manghi P., La Bruzzo S., Aryani A., Diepenbroek M., Schindler U.
Purpose Research data publishing is today widely regarded as crucial for reproducibility, proper assessment of scientific results, and as a way for researchers to get proper credit for sharing their data. However, several challenges need to be solved to fully realize its potential, one of them being the development of a global standard for links between research data and literature. Current linking solutions are mostly based on bilateral, ad hoc agreements between publishers and data centers. These operate in silos so that content cannot be readily combined to deliver a network graph connecting research data and literature in a comprehensive and reliable way. The Research Data Alliance (RDA) Publishing Data Services Working Group (PDS-WG) aims to address this issue of fragmentation by bringing together different stakeholders to agree on a common infrastructure for sharing links between datasets and literature. The paper aims to discuss these issues. Design/methodology/approach This paper presents the synergic effort of the RDA PDS-WG and the OpenAIRE infrastructure toward enabling a common infrastructure for exchanging data-literature links by realizing and operating the Data-Literature Interlinking (DLI) Service. The DLI Service populates and provides access to a graph of data set-literature links (at the time of writing close to five million, and growing) collected from a variety of major data centers, publishers, and research organizations. Findings To achieve its objectives, the Service proposes an interoperable exchange data model and format, based on which it collects and publishes links, thereby offering the opportunity to validate such common approach on real-case scenarios, with real providers and consumers. Feedback of these actors will drive continuous refinement of the both data model and exchange format, supporting the further development of the Service to become an essential part of a universal, open, cross-platform, cross-discipline solution for collecting, and sharing data set-literature links. Originality/value This realization of the DLI Service is the first technical, cross-community, and collaborative effort in the direction of establishing a common infrastructure for facilitating the exchange of data set-literature links. As a result of its operation and underlying community effort, a new activity, name Scholix, has been initiated involving the technological level stakeholders such as DataCite and CrossRef.Source: Program (Lond., 1966) 51 (2017): 75–100. doi:10.1108/PROG-06-2016-0048
DOI: 10.1108/prog-06-2016-0048
DOI: 10.5281/zenodo.3776087
DOI: 10.5281/zenodo.3776086
Project(s): OpenAIRE2020 via OpenAIRE, RDA EUROPE via OpenAIRE, RDA Europe via OpenAIRE, RDA EUROPE via OpenAIRE

See at: ISTI Repository Open Access | ISTI Repository Open Access | Program electronic library and information systems Open Access | ZENODO Open Access | Program electronic library and information systems Restricted | Program electronic library and information systems Restricted | CNR ExploRA Restricted | Program electronic library and information systems Restricted | Program electronic library and information systems Restricted | Program electronic library and information systems Restricted | Program electronic library and information systems Restricted | Program electronic library and information systems 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 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

See at: ISTI Repository Open Access | ZENODO Open Access | zenodo.org Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | link.springer.com Restricted | link.springer.com Restricted | link.springer.com Restricted | CNR ExploRA Restricted | rd.springer.com Restricted | www.micc.unifi.it Restricted


2016 Report Open Access OPEN

A subscription and notification broker for scholarly communication: functionalities and architecture
Artini M., Atzori C., La Bruzzo S.
The OpenAIRE infrastructure 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. 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: ISTI Technical reports, 2016
Project(s): OpenAIRE2020 via OpenAIRE

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


2015 Conference article Open Access OPEN

On bridging data centers and publishers: the data-literature interlinking service
Burton A., Koers H., Manghi P., La Bruzzo S., Aryani A., Diepenbroek M., Schindler U.
Although research data publishing is today widely regarded as crucial for reproducibility and proper assessment of scientific results, several challenges still need to be solved to fully realize its potential. Developing links between the published literature and data sets is one of them. Current solutions are mostly based on bilateral, ad-hoc agreements between publishers and data centers, operating in silos whose content cannot be readily combined to deliver a network connecting research data and literature. The RDA Publishing Data Services Working Group (PDS-WG) aims to address this issue by bringing together different stakeholders to agree on common standards, combine links from disparate sources, and create a universal, open service for collecting and sharing such links: the Data-Literature Interlinking Service. This paper presents the synergic effort of the PDS-WG and the OpenAIRE infrastructure to realize and operate such a service. The Service populates and provides access to a graph of dataset-literature links collected from a variety of major data centers, publishers, and research organizations. At the time of writing, the Service has close to one million links with further contributions expected. Based on feedback from content providers and consumers, PDS-WG will continue to refine the Service data model and exchange format to make it a universal, cross-platform, cross-discipline solution for collecting and sharing dataset-literature links.Source: MTSR 2015 - Metadata and Semantics Research. 9th Research Conference, pp. 324–335, Manchester, UK, 9-11 September 2015
DOI: 10.1007/978-3-319-24129-6_28
Project(s): OPENAIREPLUS via OpenAIRE, OpenAIRE2020 via OpenAIRE, RDA EUROPE via OpenAIRE, RDA EUROPE via OpenAIRE, THOR via OpenAIRE

See at: ISTI Repository Open Access | OpenAIRE Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | doi.org Restricted | link.springer.com Restricted | link.springer.com Restricted | CNR ExploRA Restricted | publications.marum.de Restricted


2015 Journal article Open Access OPEN

The OpenAIRE literature broker service for institutional repositories
Artini M., Atzori C., Bardi A., La Bruzzo S., Manghi P., Mannocci A.
OpenAIRE is the European infrastructure for Open Access scholarly communication. It populates and provides 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. Thanks to infrastructure services, objects in the graph are harmonized to achieve semantic homogeneity, de-duplicated to avoid ambiguities, and enriched with missing properties and/or relationships. OpenAIRE data sources interested in enhancing or incrementing their content may benefit in a number of ways from this graph. This paper presents the high-level architecture behind the realization of an institutional repository Literature Broker Service for OpenAIRE. The Service implements a subscription and notification paradigm supporting institutional repositories willing 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.Source: D-Lib magazine 21 (2015): 2–10. doi:10.1045/november2015-artini
DOI: 10.1045/november2015-artini
Project(s): OpenAIRE2020 via OpenAIRE

See at: D-Lib Magazine Open Access | CNR ExploRA Open Access | D-Lib Magazine Open Access


2015 Software Unknown

dnet-basic-aggregator: release 1.0
Artini M., Atzori C., Bardi A., Castelli D., Dell'Amico A., La Bruzzo S., Manghi P., Mannocci
This is a minimal instance of the D-Net software toolkit, a software framework for the realization of aggregative data infrastructures.DOI: 10.5281/zenodo.31693
Project(s): OPENAIREPLUS via OpenAIRE

See at: CNR ExploRA