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TRIPLE Deliverable: D2.5 - Report on Data Enrichment

De Santis, Luca


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    "notes": "The TRIPLE project (https://project.gotriple.eu/), which is financed under the Horizon 2020 framework https://cordis.europa.eu/project/id/863420), under Grant Agreement No. 863420, with approx. 5.6 million Euros for a duration of 42 months (2019-2023). The content of this deliverable reflects only TRIPLE's view and the Commission is not responsible for any use that may be made of the information it contains.\n---\nAt the heart of the project is the development of the GoTriple platform (https://www.gotriple.eu/), an innovative multilingual and multicultural discovery solution.", 
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        "title": "Transforming Research through Innovative Practices for Linked interdisciplinary Exploration", 
        "acronym": "TRIPLE", 
        "program": "H2020", 
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          "doi": "10.13039/501100000780", 
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    "publication_date": "2022-09-30", 
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    "description": "<p>In this deliverable, the strategies for data enrichment in TRIPLE are presented. Through the Core&nbsp;Pipeline, named SCRE, metadata regarding publications and projects for the Social Sciences and&nbsp;Humanities are automatically harvested, mapped in the TRIPLE data model, curated, enriched&nbsp;and finally saved in the GoTriple platform&rsquo;s indexes.<br>\nThe document starts by presenting the ways SCRE imports publications metadata from&nbsp;OAI-PMH endpoints, OpenAIRE and Isidore data dumps. This reflects the strategies for&nbsp;integrating content which was planned in the project. On the one hand, OAI-PMH is a<br>\nwell-known and established standard for content harvesting: many data providers, especially&nbsp;those of small dimension, support it, facilitating therefore their onboarding in GoTriple. The&nbsp;support for OpenAIRE and Isidore, on the other hand, responds to the wish to also harvest data&nbsp;from large aggregators, a strategy that allowed GoTriple to quickly present a significant amount<br>\nof publications in its index (more than 4 million at the time of writing).<br>\nThen the normalisation strategies applied to the acquired metadata are described. By analysing&nbsp;the first batches of acquired data, it has been decided to define the rules to normalise and clean&nbsp;the attributes for the following metadata: publication date, language codes, keywords,&nbsp;document types, licences, access rights and authors&rsquo; names. In the document, the definition of<br>\ncontrolled vocabularies for some of these attributes is also presented.&nbsp;</p>\n\n<p>Then enrichment services are explained, including language recognition, translation, automatic&nbsp;classification and annotation.<br>\nThe services to detect duplicate publications and to disambiguate authors are also discussed,&nbsp;followed by the presentation of the acquisition and processing of project metadata&nbsp;</p>\n\n<p>Some final remarks on the data enrichment process, including the difficulties that have been<br>\nfaced and solved, conclude the document.</p>"
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