1. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 1 Grey in the R&D Process Keith G Jeffery Director, IT CCLRC keith.g.jeffery@rl.ac.uk Anne G S Asserson Research Department University of Bergen anne.asserson@fa.uib.no

2. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 2 The Problem: Tidal wave of publications, products, patents (especially datasets) The hypothesis is in 4 parts: –(a) that the R&D process itself provides some context for managing the information; –(b) that linking the records of the process to the publications provides this context; –(c) that questions of curation and provenance are addressed automatically in such an environment; –(d) that such an environment integrates grey and white literature and other R&D outputs such as software, data, products and patents. Introduction

3. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 3 The Difficulty Formidable threshold barrier –the information is difficult to collect –end-user interface to systems presents a high threshold barrier (little KE support)

4. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 4 The Difficulty Formidable threshold barrier –the information is difficult to collect –end-user interface to systems presents a high threshold barrier (little KE support) Ill-structured user environment –the end-user commonly works in an ill-structured environment; metadata recording: not done done without sufficient attention simply forgotten

5. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 5 The Difficulty Formidable threshold barrier –the information is difficult to collect –end-user interface to systems presents a high threshold barrier (little KE support) Ill-structured user environment –the end-user commonly works in an ill-structured environment; metadata recording: not done done without sufficient attention simply forgotten Much Information demanded all at once –demand for a large amount of information all at once

6. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 6 The Difficulty and Solution Formidable threshold barrier –the information is difficult to collect –end-user interface to systems presents a high threshold barrier (little KE support) Ill-structured user environment –the end-user commonly works in an ill-structured environment ; metadata recording: not done, done without sufficient attention, simply forgotten; Much Information demanded all at once –demand for a large amount of information all at once Use the Process –Build progressively the metadata corpus using small incremental data input steps at first instant metadata available –e.g. as a publication is conceived, submitted, accepted and published.

7. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 7 The R&D Process: CERIF-CRIS Workprogramme Proposal Project Results Exploitation WealthCreation CERIF-CRIS DATABASE

8. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 8 Research Process: Input Output PROCESS STEPSUB-PROCESSESINPUTOUTPUT WorkprogrammeEconomic, Societal, Technology Foresight World/Country state, world/country models, technology predictions, solicited advice ProgrammeName Funding OrgUnit Person responsible Workprogramme document ProposalIdea, review previous work, Objectives, Method, Resources and Dependencies Previous results, previous projects, finance, human resources Title Abstract Person(s) OrgUnit(s) Proposal Document ProjectProject managementPrevious results, previous projects, finance, human resources Title Abstract Person(s) OrgUnit(s) Funding Project Plan a= process, a = data, a = white literature, a = grey, a = both

9. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 9 Research Process: Input Output PROCESS STEPSUB-PROCESSESINPUTOUTPUT ResultsInitial result, internal review, peer review, registration or publication Previous resultsPerson(s) OrgUnit(s) Project(s) Product(s) Product Description (e,g, publication reference metadata) ExploitationResults, business plan, finance, marketing, production, selling Marketing information, economic information Person(s) OrgUnit(s) Business plan Finance Data Marketing Data Production Data Sales Data Wealth CreationMarketing, employment, production Marketing information, economic information Person(s) OrgUnit(s) Annual Reports/Accounts Employment Records Dividends Records a= process, a = data, a = white literature, a = grey, a = both

10. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 10 PROJECTORGUNIT SkillsCV General Facility Particular Equipment Contact Results Publication Results Patent Results Product Service Funding Programme Event Classification Prize/Award PERSON CRIS: CERIF Model

11. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 11 Proposed Formalised DC (improved hyperlinks, CRIS, metadata) UniqueId PersonOrgUnit Security Privacy AccessLevel Charge Restrictive Annotation Classification Quality Assessment OrgUnit UniqueId Domain of CERIF Person Project ResourceIdentifier Subject Keywords Description Resource Type Coverage Temporal Coverage Spatial Title Descriptive Navigational

12. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 12 Overall : The Way Forward SCIENTIFIC DATASETS Data Information Knowledge PUBLICATIONS Data Information Knowledge CRIS Management of science

13. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 13 Overall : The Way Forward Portal with knowledge-assisted user interface Digital Curation Facility SCIENTIFIC DATASETS Data Information Knowledge PUBLICATIONS Data Information Knowledge CRIS Management of science CDR (CERIF)

14. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 14 Overall : The Way Forward Portal with knowledge-assisted user interface Digital Curation Facility SCIENTIFIC DATASETS Data Information Knowledge PUBLICATIONS Data Information Knowledge metadata

15. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 15 Overall : The Way Forward Portal with knowledge-assisted user interface Digital Curation Facility SCIENTIFIC DATASETS Data Information Knowledge PUBLICATIONS Data Information Knowledge metadata publish validate

16. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 16 Overall : The Way Forward Portal with knowledge-assisted user interface Digital Curation Facility SCIENTIFIC DATASETS Data Information Knowledge PUBLICATIONS Data Information Knowledge metadata publish validate GRIDs Ambient, Pervasive Access

17. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 17 With Workflow Support Cooperative Working Facilities better R&D wealth creation improvement of the quality of life

18. © Keith G Jeffery, Anne G S Asserson GL7: Nancy: December 200520051205-6 18 Conclusion Supporting the Research Process with ICT Overcomes the problems End-user threshold barrier End-user volume barrier Puts Research Publications in context Grey White Related to CRIS data Positions research organisations for the new world GRIDs & Ambient computing