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.
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:
💚 Coverage across the research enterprise
The first quarter of the new year was very productive for the CORE team with a number of new releases.
More about it can be found on the Jisc Research blog.
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.
CORE constantly evaluates feedback from users and integrates this feedback as a part of the ongoing roadmap for CORE’s continued development. Working with our users and data providers to deliver a consistently improving user experience is a key component in CORE’s ongoing success.
We are proud to announce that the work in our EU-funded project ON-MERRIT that aims to analyse and deliver a set of evidence-based recommendations for science policies, indicators, and incentives, which could address and mitigate cumulative (dis)advantages in Open Science has been mentioned in a Nature news article.
The work of the Open University, which is a partner in this project, focuses on the investigation of the role of Open Science in promotion and tenure policies, practices, and incentives within academia. At the OU, the project is led by the Big Scientific Data and Text Analytics Group (BSDTAg) with Dr. Petr Knoth (PI) supported by Dr. Nancy Pontika, David Pride, and Matteo Cancellieri.
This blog post has been authored by Dr. Petr Knoth, CORE Head & Founder…
… with the kind support of everyone from the Ukrainian-based team: Kateryna, Viktoriia, Mariia, Valerii, Andrii, Iva, Konstantin and Anton, and
… with the support and proof-reading of the UK-based CORE team: Matteo, Nancy, David, Sam.
This post is our personal story of how members of the CORE team have been affected and caught up in the armed conflict in Ukraine. It is one of the many testaments to the implications of war and a plea to the Russian and Belarusian academic community to help stop this violence.
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.
Our society is facing significant challenges due to the widespread misinformation, in particular on social media, substantially influencing public opinion. As a result, we are seeing a lot of demand for innovative text processing methods to fact check and provide an automatic assessment of trustworthiness and credibility. Machine learning and natural language processing have started to be widely used to address this problem.
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.
We are always excited to announce new releases of tools that support Open Access and use the CORE services.
This time there is a release from our friends at the Open Access Helper. This is a tool that helps everyone discover a legal Open Access version of research outputs around the web.
What is new with this version is the application’s ability to bring to researchers proactive notifications on their iPad and iPhone whenever they are browsing articles behind a paywall.
We are really excited about this release because it is integrating our brand new CORE API (v3).
On Thursday 13th January 2022, Petr Knoth, Head of CORE and Matteo Cancellieri, Lead Developer, gave a webinar describing the new CORE APIv3 features. There were 72 attendees. In the first part, we introduced new features in the API, and the second part provided live coding examples followed by answering questions from the audience.
Read about this webinar more on the Jisc Research blog.
Enjoy watching the recording of the webinar:
You can also find the slides presented at the webinar below.