We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byBrian King
Modified over 3 years ago
© Keith G Jeffery, Anne G S Asserson GL8 2006 New Orleans20061204-05 1 Hyperactive Grey Objects Keith G Jeffery Director, IT & International Strategy CCLRC firstname.lastname@example.org Anne G S Asserson Research Department University of Bergen email@example.com
© Keith G Jeffery, Anne G S Asserson GL8 2006 New Orleans20061204-05 2 Background Previous papers on Grey literature by the authors (in the GL Conference Series) have described –the need for formal metadata to allow machine understanding and therefore scalable operations; –the enhancement of repositories of grey (and other) e-publications by linking with CRIS (Current Research Information Systems); –the use of the research process to collect metadata incrementally reducing the threshold barrier for end-users and improving quality in an ambient GRIDs environment. This paper takes the development one step further and proposes intelligent grey objects.
© Keith G Jeffery, Anne G S Asserson GL8 2006 New Orleans20061204-05 3 Hypothesis The hypothesis is in 2 parts: –that the use of passive catalogs of metadata does not scale in a highly distributed environment with millions of nodes with vastly increased volumes of R&D output grey publications with associated metadata; –that a new paradigm is required that integrates grey with white literature and other R&D outputs such as software, data, products and patents in a self-managing, self-optimising way and that this paradigm manages automatically curation, provenance digital rights, trust, security and privacy.
© Keith G Jeffery, Anne G S Asserson GL8 2006 New Orleans20061204-05 4 State of the Art Concerning the problem of scaling –Existing repositories catalogs - cost of input / update; –Harvesting takes increasing time - ensuring non-currency –To obtain and utilise results the end-user expends much manual effort / intelligence –The elapsed time of the network the centralised (or centrally controlled distributed) catalog server searches end-user intervention becomes unacceptable. Concerning the proposed solution –there is no paradigm currently known to the authors that satisfies the requirement - hence our proposal is developed.
© Keith G Jeffery, Anne G S Asserson GL8 2006 New Orleans20061204-05 5 The Notion Hyperactive combines both –hyperlinking –active properties of a (grey) object. Hyperlinking implies multimedia components linked to form the object and also external links to other resources. The term active implies that objects do not (only) lie passively in a repository to be retrieved by end–users. They get a life and the object moves through the network knowing where it is going. Grey Object (eg hyperlinked Document) metadata Encapsulated object agent Active rules relationships
© Keith G Jeffery, Anne G S Asserson GL8 2006 New Orleans20061204-05 6 How it Works A hyperactive grey object is wrapped by formal metadata, active rules, relationships, associated (software) agent. It moves through process steps The workflow is based on the rules and information in the CDR (Corporate Data Repository) and the active rules within the encapsulated grey object Once the object is deposited, the agent associated with it actively checks and builds the relationships On publication: the agent pushes the object to the end-users (or systems) The agents check the object and user (or system) restrictive metadata Alternatively the object can be found passively by end-user or system agents using its descriptive metadata. (again the agents check the restrictive metadata)
© Keith G Jeffery, Anne G S Asserson GL8 2006 New Orleans20061204-05 7 Wider Context The object can also associate itself with other objects forming relationships utilising metadata or content. –Declared relationships include references and citations; –Workflowed relationships include versions and also links to corporate information and research datasets and software; –Inferenced relationships are discovered relationships such as between documents by different authors developed from an earlier idea of a third author.
© Keith G Jeffery, Anne G S Asserson GL8 2006 New Orleans20061204-05 8 CDR SystemWorkflow authorise create Review/ approve Deposit Institutional Repository system Institutional research data and software repository system Other Institutional Repository systems Other Institutional research Data and software repository systems author authorise author action relationlink metadata author authorise deposit Peer Review author authorise deposit review Public ation author authorise deposit review publication Push system Relation System author authorise deposit review publication push Public ation active rules
© Keith G Jeffery, Anne G S Asserson GL8 2006 New Orleans20061204-05 9 Current State Components of this paradigm have been implemented to some extent –Formalised metadata (and links to CRIS); –Active rules –Workflow using CDR; –Hyperlinking of Objects; –Inferencing (usually for plagiarism); –Agents –Self-* properties Much of it in a GRIDs environment
© Keith G Jeffery, Anne G S Asserson GL8 2006 New Orleans20061204-05 10 Conclusion Keith G Jeffery Director, IT & International Strategy CCLRC firstname.lastname@example.org Anne G S Asserson Research Department University of Bergen email@example.com 1.Minimum effort by the end-user 2.Maximum input by system 3.Maximum use of information by system a)To manage workflow b)To manage relationships c)To generate relationships d)To assist retrieval 4.Scalable This surely is harnessing the power of grey.
© Keith G Jeffery, Anne G S Asserson GL Antwerp Keith G Jeffery Director, IT & International Strategy, STFC Anne.
© Keith G Jeffery, Anne G S Asserson GL7: Nancy: December Grey in the R&D Process Keith G Jeffery Director, IT CCLRC
© Keith G Jeffery, Anne G S Asserson GL 11 Washington Keith G Jeffery Director, IT & International Strategy, STFC
© Keith G Jeffery, Anne G S Asserson GL6: New York: December 2004: IP & Corporate Context Relating Intellectual Property Products to the Corporate.
©Keith G Jeffery/ Anne AssersonSupporting the Research Process with a CRIS CRIS Supporting the Research Process with a CRIS Keith G Jeffery Director.
Keith G Jeffery Director, IT Grey Literature The Process and Quality Issues Keith G Jeffery.
© Keith G Jeffery, Anne G S Asserson GL 10 Amsterdam Keith G Jeffery Director, IT & International Strategy, STFC
©STFC/Keith G Jeffery The value of recording each step of the research process The Value of Recording each Step of the Research Process Keith.
1 CRIS: Research Organisation View of the e-Infrastructure Keith G Jeffery STFC Anne Asserson UiB.
Grey Literature, Institutional Repositories and the Organisational Context Simon Lambert, Brian Matthews & Catherine Jones Business & Information Technology.
Keith G Jeffery Director, IT What does a CRIS add to Open Access Publications ?
©Keith G Jeffery/ Anne AssersonCRIS: Central Relating Information System CRIS CRIS: Central Relating Information System Keith G Jeffery Director.
© Keith G Jeffery, Anne Asserson Keith G Jeffery Consultant keithgjefferyconsultants.co.uk Anne Asserson University Library University of.
Strategy / External Relations Athens, 10th May 2009 Anne Asserson.
©euroCRIS/Keith G JefferyCRIS Seminar Brussels Discussion Topics Keith G Jeffery President, euroCRIS
METADATA WORKSHOP Conclusions Keith Jeffery Peter Wittenburg.
©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Comparative Study of Metadata for Scientific Information: The Place of CERIF.
CRIS + Repositories: Setting the Scene Keith G Jeffery President euroCRIS
©euroCRIS/Keith G JefferyCRIS: Stakeholders, Benefits, History, Process, Architecture The Problem the traditional divide between –the individual.
© University of Reading October 2009 CentAUR Central Archive at the University of Reading Introduction for ‘early adopters’ Alison.
1 Yolanda Gil Information Sciences InstituteJanuary 10, 2010 Requirements for caBIG Infrastructure to Support Semantic Workflows Yolanda.
Digital Repository DDUB Learning and Research Resources Center (CRAI) University of Barcelona 2016.
© Keith G Jeffery, Anne G S Asserson IWIRCRIS Copenhagen Exploring the Cloud of Research Information Systematically Keith G Jeffery Director,
©euroCRIS/Keith G JefferyOA Workshop May 2010 CNR Roma The euroCRIS view of the Rome OA Workshop Keith G Jeffery President, euroCRIS
Why self-archive? Elizabeth Harbord Head of Collection Management.
DRIVER Long Term Preservation for Enhanced Publications in the DRIVER Infrastructure 1 WePreserve Workshop, October 2008 Dale Peters, Scientific Technical.
1 The Metadata Groups - Keith G Jeffery. 2 Positioning Raise profile of metadata Data first Also software, resources, users Achieve outputs/outcomes.
A centre of expertise in data curation and preservation DigCCur2007 Symposium, Chapel Hill, N.C., April 18-20, 2007 Co-operation for digital preservation.
Repositories, Learned Societies and Research Funders Stephen Pinfield University of Nottingham.
Requirements: Supporting Wealth Creation and Quality of Life CRIS++ Two ideas for the next steps Neil Jacobs, JISC.
Improving Learning Object Description Mechanisms to Support an Integrated Framework for Ubiquitous Learning Scenarios María Felisa Verdejo Carlos Celorrio.
© euroCRIS/Keith G Jeffery 1 euroCRIS and e-Infrastructure Keith G Jeffery President, euroCRIS Premium Members.
Organising and Documenting Data Stuart Macdonald EDINA & Data Library DIY Research Data Management Training Kit for Librarians.
CNRIS CNRIS 2.0 Challenges for a new generation of Research Information Systems.
DART Project Work Packages CR4 and CR5 Tom Denison, Nicholas McPhee, Monash University.
Providing Exclusive Services: Business Oriented Document Management Solution for Enterprise Alexander Mitrovich, Director Corporate Clients Nikolay Priezhiy.
A Semi-Automated Digital Preservation System based on Semantic Web Services Jane Hunter Sharmin Choudhury DSTC PTY LTD, Brisbane, Australia Slides by Ananta.
Doctoral theses CERIF-CRIS or Repository? Anne Asserson & Tor Øyvind Fosse, University of Bergen, Norway.
UKOLN is supported by: JISC Information Environment update Repositories and Preservation Programme meeting, October 24-25, 2006 Rachel Heery UKOLN
A centre of expertise in digital information management UKOLN is supported by: UK Perspectives on the Curation and Preservation of Scientific.
5-7 November 2014 DR Workflow Practical Digital Content Management from Digital Libraries & Archives Perspective.
10 February, 2014Paul Child OA-F Organisational Issues Working Group report Final review of organisational issues.
Digital/Open Access repositories Paul Sheehan Director of Library Services DCU HEAnet National Networking Conference Athlone 11 th November 2005.
CONCEPTUAL WEB-BASED FRAMEWORK IN AN INTERACTIVE VIRTUAL ENVIRONMENT FOR DISTANCE LEARNING Amal Oraifige, Graham Oakes, Anthony Felton, David Heesom, Kevin.
Procedures for managing workflow components Workflow components: A workflow can usually be described using formal or informal flow diagramming techniques,
Open Access - Where are we so far? Bill Hubbard SHERPA Project Manager University of Nottingham.
Evaluation of a Publish/Subscribe System for Collaboration and Mobile Working Collaborative Advertising over Internet with Agents Independent Study: Wireless.
UKOLN is supported by: Digital Repositories Roadmap: looking forward The JISC/CNI Meeting, July 2006 Rachel Heery Assistant Director R&D, UKOLN
SHERPA Jackie Wickham RSP Project Coordinator Centre for Research Communications University of Nottingham.
©STFC/Keith G Jeffery Metadata in the European e-Infrastructure Metadata in the European e-Infrastructure Keith G Jeffery Science and Technology.
© 2017 SlidePlayer.com Inc. All rights reserved.