Presentation of the CORE APIv3 which provides seamless programmable access to the metadata and content from across the global repositories network delivered at Open Repositories 2022.
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
CORE APIv3
1. CORE APIv3: Seamless machine access to open
access metadata and full texts from across the
global repositories and publishers network
Matteo Cancellieri, Valerii Budko, Samuel Pearce, Petr Knoth
Knowledge Media institute, The Open University
CORE - https://core.ac.uk
API - https://core.ac.uk/services/api
Twitter - @oacore
2. • What can you do with the CORE API?
• Lessons learned from v2 and new features in v3
Outline
3. In doing so, we:
● enrich scholarly data using state-of-the-art text and data
mining technologies to aid discoverability,
● enable others to develop new tools and use cases on top
of the CORE platform,
● support the network of open access repositories and
journals with innovative technical, solutions and,
● facilitate a scalable, cost-effective route for the delivery
of open scholarship.
CORE’s mission
CORE’s mission is to aggregate all open access research worldwide and deliver
unrestricted access for all.
4. CORE services
Content discovery Raw data services Managing content
Discovery
Recommender
API
Dataset
FastSync
Repository Dashboard
Repository Edition
Search
5. Free to read links to full
text papers
~97 million
Data providers
10,372
Full texts hosted
directly by CORE
28,468,748
Languages
> 90
Countries
190
Metadata records
218,808,331
> 30M
monthly
active
users
6. Recent success stories using the CORE API
- Plagiarism detection
- Open Access papers discovery
- Fact checking
- New approaches to research evaluation
- Innovation engineering
- Content translation
- Trends detection
- Rapid systematic reviews
- Open Access Compliance Monitoring
Find more success stories at:
https://core.ac.uk/about/endorsements AND https://blog.core.ac.uk
7. ● New model abstraction to represent the
scholarly world
● More coherent search queries
● Easier to access large datasets
● Improved analytical tools
● User management made easy
● Better documentation
● A gallery to kick start your journey with the
API
What's new
8. 🖋 Documentation in Swagger
🖋 PHP + Symfony implementation
🚀 Elasticsearch
API clients
•Java https://github.com/oacore/oacore4j
•Python https://github.com/oacore/pyoacore
•R https://github.com/ropensci/rcoreoa
CORE API: where are we?
> 3,000 registered users > 300 active API users
(in the last two months )
9. Works
A deduplicated and polished item, it is made with the best metadata we can use from multiple articles
from different sources, it includes enrichments.
Article (old name) /Output (new name)
It is data coming directly from the data providers. It mostly comes from OAI-PMH but there also other
different data providers. The data is uniform so all the different data providers lead to a single metadata
format.
Data provider
It contains repositories (institutional
and disciplinary), preprint servers, journals and
publishers.
Journal
This dataset contains all journal titles included
in the CORE collection.
How CORE sees the world
1...n versions
contains contains
11. Large dataset access
▪ The API now support querying
for medium size datasets
(1,000-100,000 records) through
the scroll parameter.
▪ For large datasets (>100,000),
consider the CORE dataset
19. Feedback
If you are using the API for research, please cite one of our
research outputs https://core.ac.uk/about/research-
outputs
Show us how you are using the API
Get in touch if you have questions.
Questions? https://bit.ly/core-apiv3