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Jisc Text Mining Capabilities
Jisc has invested in text mining capabilities and established the National Centre for Text Mining (NaCTeM) to fund various text aggregation projects. Jisc provides open access, bibliographic, and subscription management services that include text mining of over 25 million records and 600 journal titles in CORE and journal archives. There is potential to develop user-facing text mining applications using these combined data sets to unlock hidden information and develop new knowledge.
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Jisc Text Mining Capabilities
- 1. Jisc OA servicesand importance of text mining capabilities Balviar Notay
- 2. Jisc investment intext mining activity »The value and benefits of text mining (Report - 2012) inform Hargreaves »HargreavesTDM exception for the UK - 2014 (ahead of the game) 15/06/16 Title of presentation (Go to âViewâ menu > âHeader and FooterâŠâ to edit the footers on this slide) 2
- 3. Benefits ofTDM » Benefitsinclude: âș Increased researcher efficiency âș Unlocking hidden information and developing new knowledge âș Exploring new horizons âș Improved research and evidence base and improving the research process and quality âș Broader economic and social benefits include cost savings and productivity gains âș Innovative new service development âș New business models How do we practically make this work? How do we best utilise text mining capability? 15/06/16 Title of presentation (Go to âViewâ menu > âHeader and FooterâŠâ to edit the footers on this slide) 3
- 4. »Established the NationalCentre forText Mining (NaCTeM) »Funded various search/aggregation projects which resulted in CORE service (Jisc and Open University) 15/06/16 Title of presentation (Go to âViewâ menu > âHeader and FooterâŠâ to edit the footers on this slide) 4
- 5. OpenAccess: The JiscOA support service Open Access 5
- 6. Jisc Subscription ManagementServices 06/15/16 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 6 Journals / Books / Databases / Archives / Multimedia / Geospatial Jisc Collections SHERPA Romeo Jisc Collections website JUSP E-books tracking and decision support SUNCAT data KB+ Keepers Registry Data and interoperability Subscription management Jisc services Licence management Usage tracking Subscription & purchasing Consortia Negotiation Entitlement tracking Perpetual Access Analytics and business intelligence KB+ Jisc Collections website KB+ JUSP KB+
- 7. Jisc Bibliographic DataServices 06/15/16 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 7 Acquisition Discovery Delivery Collection Management CCM ToolsSUNCAT Jisc Historical Texts CORE Select Book Check Availability Specific Title Select Best Copy Link to Best Copy Document Delivery Title Usage Management of Stock Advice, guidance, technical support, quality assessment and new service development Bibliographic Management Jisc Services Interlibrary Loan Unknown Title NBK Copac Reading Lists NBK Circulation Data NBK NBK Manage Metadata Collection Benchmarking E-books Pilot Jisc Collections JUSP Copac Zetoc Archives HubKB+
- 8. IR to IRsharing for REF »CORE and Publications Router âș Support for REF compliance for co-authors âș Text mining the co-authorsâ affiliations from full text to support deposit of articles in co-authors repositories. âș Beta service by Dec 201 6 (estimate) 15/06/16 Copac Collection Management Tools 8
- 9. CORE and JiscJournal Archives »CORE: âș exposes content of 168 UK repositories, 25m records (approx), 2m full text items (approx) »Journal Archives âș delivers over 600 journal titles from the archives of major commercial publishers that Jisc has purchased in perpetuity such as ProQuest and Brill âș 86 UK HE subscribing institutions. 15/06/16 Copac Collection Management Tools 9
- 10. CORE and JiscJournal Archives »The combined data sets offer a large body of material to exploit »Assess the feasibility and value of developing useful user-facing text mining »Gather evidence with regard to technical and legal feasibility, »gauge user interest, assess the scale of the opportunity and market size, identify a delivery and business model, as well as produce some coding prototypes. »Outputs: a report and technical prototypes 15/06/16 Copac Collection Management Tools 10
- 11. standards and identifiers »UKORCID consortium »RIOXX 54 repositories using RIOXX fields. »RIOXX and OpenAIRE mapping (CORE testing passing records to OpenAIRE) »OpenAIRE/Horizon 2020 guidelines (Jisc feeding into the guidelines) âș July 2016: possible release of literature guidelines. 15/06/16 Copac Collection Management Tools 11
- 12. standards and identifiers »COARVocabularies:ResourceTypes and mapping to a number of languages. Version 1.1 will be released soon. »CASRAI UK chapter »Research data metadata profile »OrgID work â building on previous reports that were produced as part of the Jisc CASRAI pilot. »ResourceSync 15/06/16 Title of presentation (Go to âViewâ menu > âHeader and FooterâŠâ to edit the footers on this slide) 12
- 13. TDM »Thank you. »Questions? 15/06/16 Titleof presentation (Go to âViewâ menu > âHeader and FooterâŠâ to edit the footers on this slide) 13
- 14. jisc.ac.uk Contact: Balviar Notay ScholarlyCommunications Services Manager balviar.notay@jisc.ac.uk 04/04/2016 OA Technical Workshop
Editor's Notes
- #3Â TDM report informed Hargreaves review of IP and copyright 2011 Was a commercial interest and we wanted to make sure that the research interest was fully represented. And used as an evidence base for lobbying. The TDM report identified market failure in that the public investment â basically the we were not getting the fair share of return on public investment and inhibiting wider social and economic gains that text mining could generation. The exception permits any published and unpublished in-copyright works to be copied for purposes of text mining for non-commercial research as long as the researcher has lawful access. (subscription through library or permission from researcher). Need to have legal access to the content. Copyright directive in Europe which is underway â has the potential to introduce and enshrine this exception for all EU member states.
- #4Â Global research community generates over 1.5 million new scholarly articles per annum Sea of data predicted to increase at rate of 40% per annum How do we utilise text mining capability in a really practical sense? For different stakeholders. New medical treatments?
- #5 Data analysing, business intelligenceâŠ. Semantometrics â look actual text to see if it robust or/goodâŠ.. How do we free up/utikise that capability⊠Train the textminers,
- #6 CORE is part od a wider OA services portfolio⊠How do we free up/utilise that capability⊠We need to get clear about the use cases and certainly for Jisc we can provide the capability at the network level to improve service provision⊠Enhance efficiency and performance of services Data analysing, business intelligenceâŠ. Semantometrics â look actual text to see if it robust or/goodâŠ.. Train the textminers,
- #9Â It is possible that institutions may be unaware of the existence of research outputs of their researchers, even if other UK institutions to which their co-authors are affiliated have captured them on their institutional repositories. These outputs may therefore already be REF-compliant, but the institutions that may wish subsequently to submit them to the next REF may not know they are eligible. This would be solved if there were a mechanism for copying the output from one IR to the other IR(s) of the co-authors.
- #11Â The combined data sets offer a large body of material that can potentially open up new research opportunities and lines of enquiry, and opportunities for improved research management, if text mining techniques were applied to the data sets, and in so doing, would dramatically enhance the current service offer. In particular, the project will assess the feasibility and value of developing useful user-facing text mining services over the combined corpora (eg named entity recognition, disciplinary analysis, etc). It will gather evidence with regard to technical and legal feasibility, gauge user interest, assess the scale of the opportunity and market size, identify a delivery and business model, as well as produce some coding prototypes. The final outputs will be: a report that will provide the necessary evidence and information needed to build a full business case, if evidence suggests that there is value in pursuing these enhancements technical prototypes
- #12 So it obvious to say providing structure to information â will result in more robust text mining results⊠Providing consistency and standardisationâŠ. RIOXX 54 repositories using RIOXX fields. More work needed on compliance. (includes ORCID field)