Category Archives: oa.core

Detecting duplicate records and manuscript versions in your repository – CORE

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“To assist the community with this challenge, we have developed the new CORE Dashboard Versions and Duplicates module. This provides a simple interface for identifying versions and duplicates in your repository. Our system pinpoints different versions of your articles allowing you to easily review them side-by-side and mark them using the widely used NISO Journal Article Versions (JAV) taxonomy. Exact duplicates can also be reviewed and marked for removal from your repository. The marking can then be exported from the Dashboard into .csv format enabling automation in your repository. The duplicates check runs periodically every time CORE indexes content from your repository….”

CORE: A Global Aggregation Service for Open Access Papers | Scientific Data, 07 June 2023

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“Abstract: This paper introduces CORE, a widely used scholarly service, which provides access to the world’s largest collection of open access research publications, acquired from a global network of repositories and journals. CORE was created with the goal of enabling text and data mining of scientific literature and thus supporting scientific discovery, but it is now used in a wide range of use cases within higher education, industry, not-for-profit organisations, as well as by the general public. Through the provided services, CORE powers innovative use cases, such as plagiarism detection, in market-leading third-party organisations. CORE has played a pivotal role in the global move towards universal open access by making scientific knowledge more easily and freely discoverable. In this paper, we describe CORE’s continuously growing dataset and the motivation behind its creation, present the challenges associated with systematically gathering research papers from thousands of data providers worldwide at scale, and introduce the novel solutions that were developed to overcome these challenges. The paper then provides an in-depth discussion of the services and tools built on top of the aggregated data and finally examines several use cases that have leveraged the CORE dataset and services.”

Knoth, P., Herrmannova, D., Cancellieri, M. et al. CORE: A Global Aggregation Service for Open Access Papers. Sci Data 10, 366 (2023). https://doi.org/10.1038/s41597-023-02208-w

CORE Welcomes 10 New Members

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Our new members

University of Oxford
University of St Andrews
The University of Huddersfield
University of Lancaster
White Rose Research (University of Leeds, The University of Sheffield and University of York)
University of Bristol
Queen’s University Belfast
University of Birmingham
Anglia Ruskin University
University of Chicago

 

CORE to become an independent Open Access service from August 2023

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Jisc and The Open University have had a long-standing relationship delivering CORE (core.ac.uk) for over 10 years. During this time, the service has grown from a project to an important and widely used Open Research infrastructure.  

The current Jisc – OU contract for delivering CORE to the open scholarly community is expiring in July 2023. From this time onwards CORE will be operated by The Open University and will no longer receive direct funding from Jisc. The Open University is grateful to Jisc for its support of CORE over the last ten years.

[…]

 

CORE Membership – launching soon! – Research

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“CORE (core.ac.uk), a not-for-profit service delivered by The Open University in partnership with Jisc, has been serving the scholarly community since 2011 and in that time has experienced phenomenal growth in every way. CORE collates Open Access research from over 10,500 data providers across the world and is now the largest collection of open access research literature. Over 30 million users each month access CORE, either via search or one of our  services. We have also worked hard to develop services for our data providers and support them with tools to help better manage the content in their repositories, including improving discoverability, registering unique persistent identifiers, enriching content with data such as missing DOIs and helping monitor that their content remains compliant with Open Access policies and mandates….

CORE is a not-for-profit endeavour, committed to the the Principles of Open Science Infrastructure (POSI), and we have always strived to ensure that the service remains completely free for public use. This means funding the service is no small task. Today sees the start of a new effort to help not only sustain CORE, but to enable us to continue to grow and support our huge community of users. 

We’re hugely excited to announce the pre-launch of the CORE Membership program, designed exclusively for organisations such as academic institutions and data providers. 

 

The new CORE Membership programme offers your organisation a very public way of supporting a key component of the global Open Science scholarly infrastructure. Your membership confers several key benefits including: …”

NISO vision interview with CORE’s Petr Knoth on the role of text mining in scholarly communication – Research

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“This Vision Interview with Petr Knoth, Senior Research Fellow in Text and Data Mining at the Open University and Head of CORE (core.ac.uk), served as the opening segment of the NISO Hot Topic virtual conference, Text and Data Mining, held on May 25, 2022. Todd Carpenter spoke at length with Knoth about the many ways in which text and data mining impacts the present as well as the future. They discussed just how innovative this technology can be for the needs of researchers in the information community….”

OAI Identifiers: Decentralised PIDs for Research Outputs in Repositor…

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“An OAI (Open Archives Initiative) identifier is a unique identifier of a metadata record. OAI identifiers are used in the context of repositories using the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH), however, the process by which they are assigned can be, in principle, used more broadly elsewhere.

In comparison to DOIs, OAI identifiers are registered in a distributed rather than centralised manner and there is therefore no cost for minting them. OAI identifiers are persistent identifiers in repositories that declare their level of support for deleted documents in the deletedRecord element of the Identify response as persistent. CORE recommends repositories to provide this persistent level of support.

OAI Identifiers are viable PIDs for repositories that can be, as opposed to DOIs, minted in a distributed fashion and cost-free, and which can be resolvable directly to the repository rather than to the publisher.

This approach has the potential to increase the importance of repositories in the process of disseminating knowledge. CORE provides a global OAI Resolver built on top of the CORE research outputs aggregation system….”

CORE: Our commitment to The Principles of Open Scholarly Infrastructure – CORE

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The Principles of Open Scholarly Infrastructure (POSI) offer a set of guidelines by which open scholarly infrastructure organisations and initiatives that support the research community can be operated and sustained. In this post, we demonstrate CORE’s commitment to adhere to these principles and show our current progress in achieving these aims. The principles are divided into three main categories; Governance, Sustainability and Insurance:

Major update of CORE search  – CORE

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“CORE has just released a major update to its search engine, including a sleek new user interface and upgraded search functionality driven by the new CORE API V3.0.

CORE Search is the engine that researchers, librarians, scholars, and others turn to for open access research papers from around the world and for staying up to date on the latest scientific literature….”

Iris.ai and CORE cooperate to build AI Chemist – Research

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“CORE and Iris.ai are extremely pleased to announce the initiation of a new research collaboration funded by the Norwegian Research Council.

Discovering scientific insights about a specific topic is challenging, particularly in an area like chemistry which is one of the top-five most published fields with over 11 million publications and 307,000 patents. The team at Iris.ai have spent the last 5 years building an award-winning AI engine for scientific text understanding. Their patented algorithms for identifying text similarity, extracting tabular data and creating domain-specific entity representations mean they are world leaders in this domain. 

The AI Chemist project is a collaboration between Iris.ai and The Open University, Oxford University, Trinity College, Dublin and University College, London. CORE is a not-for-profit platform delivered by The Open University in cooperation with Jisc that hosts the world’s largest collection of open access scientific articles. As of February 2022, the CORE dataset provides metadata information (title, author, abstract, publishing year, etc.) for approximately 210 million articles, and the full text for 29.5 million articles.”

Using open access research in our battle against misinformation – Research

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“While scientific papers have been traditionally seen as a source of mostly trustworthy information, their use within automated tools in the fight against misinformation, such as related to vaccine effectiveness or climate changes, has been rather limited….

At CORE, we are committed to a more transparent society, free of misinformation. Our data services, providing access to machine readable information from across the global network of open repositories are a treasure trove for this use case. 

We are therefore excited to support an innovative startup, Consensus, a search engine designed to perform evidence retrieval and assessment over scientific insights.  …”