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DiggiCORE: Digging into Connected Repositories

Petr KnothKnowledge Media institute

The Open University

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Outline

1. Connecting by aggregating Open Access (OA) publications• Why agregate and who is it for• The added value of aggregations

2. The CORE system3. Supporting research in mining databases of scientific

publications

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Outline

1. Connecting by aggregating Open Access (OA) publications • Why agregate and who is it for• The added value of aggregations

2. The CORE system3. Supporting research in mining databases of scientific

publications

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The rapid rise of OA articles

The graph (from Laasko and Bjork's paper - BMC Medicine 2012, 10:124) shows the numbers of papers published in three different types of online open access journals from 2000 to 2011.

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Growth of Open Access repositories

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Why we need aggregations?

“Each individual repository is of limited value for research: the real power of Open Access lies in the possibility of connecting and tying together repositories, which is why we need interoperability. In order to create a seamless layer of content through connected repositories from around the world, Open Access relies on interoperability, the ability for systems to communicate with each other and pass information back and forth in a usable format. Interoperability allows us to exploit today's computational power so that we can aggregate, data mine, create new tools and services, and generate new knowledge from repository content.’’

[COAR manifesto]

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Access to information according to the level of abstraction

Metadata Transfer

Interoperability

OLTP

OLAP

Metadata

Content

Semantic Enrichm

ent

Interfaces

Repository

Repository

RepositoryRaw data access

Transaction information access

Analytical information access

Aggregation

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Who should be supported by aggregations?

• The following users groups (divided according to the level of abstraction of information they need):• Raw data access. Developers, DLs, DL researchers, companies …• Transaction information access. Researchers, students, life-long learners …• Analytical information access. Funders, government, bussiness intelligence

…

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What is it all about?

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Outline

1. Connecting by aggregating Open Access (OA) publications – why, how, what for?

2. The CORE system3. Supporting research in mining databases of scientific

publications

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CORE objective

CORE aims to provide a technical infrastructure for Open Access scholarly publications that will support access and reuse of scholarly materials at different levels of abstraction.

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CORE functionality

Content harvesting, processing

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CORE functionality

Semantic enrichment

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CORE functionality

Providing services

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Repository

Repository

RepositoryRaw data access

Transaction information access

Analytical information accessInterfaces

Metadata Transfer

Interoperability

OLTP

OLAP

Metadata

Content

Enrichment

Aggregation

CORE API

CORE Portal, CORE Mobile, CORE Plugin

Repository Analytics

What does CORE provide at different access levels?

CORE API

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CORE ApplicationsCORE Portal – Allows searching and navigating scientific publications aggregated from Open Access repositories

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CORE Applications

CORE Mobile – Allows searching and navigating scientific publications aggregated from Open Access repositories

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CORE ApplicationsCORE Plugin – A plugin to system that recommendations for related items.

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CORE ApplicationsRepository Analytics – is an analytical tool supporting providers of open access content (in particular repository managers).

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CORE ApplicationsCORE API – Enables external systems and services to interact with the CORE repository.

• Search service• Pdf and plain text

service• Similarity service• Classification service• Citation service

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CORE ApplicationsCORE API registered users:British Education IndexCottagelabsUKCORREuropeanaULCCLibrary, The Open UniversityLos Alamos National Laboratory, USAUniversity of Manchester LibraryUniversidad de los Andes. Bogotá, ColombiaUNESCO

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CORE visits (October 2012)

More than 6000 visits per day

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Outline

1. Connecting by aggregating Open Access (OA) publications – why, how, what for?

2. The CORE system3. Supporting research in mining databases of scientific

publications

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Objective

Software for exploration and analysis of very large and fast-growing amounts of research publications stored across Open Access Repositories (OAR).

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DiggiCORE networks

Three networks: (a) semantically related papers,(b) citation network, (c) author citation network

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The problem of result transparency

Google Scholar

Microsoft Academic Search

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DiggiCORE objectives

Allow researchers to use this platform to analyse publications. Why?• To identifying patterns in the behaviour of research

communities• To detect trends in research disciplines• To gain new insights into the citation behaviour of researchers• To discover features that distinguish papers with high impact

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Questions the system can help answering?

• What are the attributes of impact publications?• Do these attributes differ in the humanities, social sciences and

computer sciences?• What are the features of research groups within disciplines and

how do these features relate to contributions generated by the group?

• What are the attributes of high-impact authors and what is their role within the group?

• What are the dynamics of successful research groups?

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Questions the system can help answering?

• What is the mechanism of cross-fertilisation within disciplines, especially between the humanities and the sciences?

• Who are the authors whose work is worth monitoring because they contribute to the achievements of their own discipline and also inspire other disciplines?

• How should the novice in the discipline get acquainted with key achievements in the discipline?

• How should he/she search for the most important publications?

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Challenges

• Technical issues of quick Open Access harvesting• Lack of understanding of publishers of academics of Open

Access licenses• Explain the added value of full-text vs metadata aggregations: • User experience• Text-mining

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The power of full-text aggregations (WorldCat vs CORE)

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Text-mining“There are currently over 144,000 full time equivalent academic professionals (teaching and research) working in UK higher education. Using data from the Higher Education Statistics Agency (HESA) for UK academic salaries, the median salary for a UK academic falls into a band of between £42k and £55k, which translates to between £26 and £33 per working hour. If text mining enabled just a 2% increase in productivity – corresponding to only 45 minutes per academic per working week (and looking at CIBER’s analysis of the impact of eJournals, this is very much an underestimate), this would imply over 4.7 million working hours and additional productivity worth between £123.5m and £156.8m in working time per year.” [McDonnald & Kelly, 2012] – JISC report on text-mining

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http://rossmounce.co.uk/2012/09/04/the-gold-oa-plot-v0-2/

Cost of Gold OA

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Summary

• Aggregations should serve the needs of different user groups.• Transparency is crucial• Machine access to publications provides lots of new

opportunities.• We can have many services that are part of the infrastructure,

but should work with the same data.• CORE aims to• prepare the way for innovative open access services• demonstrate the benefits of programmable access to

publications• data mine publications for impact characteristics

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Partners

Advisory Board

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Questions?

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