logging in or signing up dcc life cycle Pumbaa Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 871 Category: News & Reports.. License: All Rights Reserved Like it (1) Dislike it (0) Added: August 09, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Information Life Cycle and Curation: Information Life Cycle and Curation Chris Rusbridge, Digital Curation Centre Funded by: InfoBike…: InfoBike… Not Found: The requested URL /elib/infobike/homepage.html was not found on this server. Contents: Contents Curation Life cycle approaches… Typical life cycle Preservation life cycle Curation life cycle Definition of digital curation: Definition of digital curation 'maintaining and adding value to a trusted body of digital information for current and future use' Commercial approach: Commercial approach Information Lifecycle Management a strategy for aligning your IT infrastructure with the needs of your business -- based on information's changing value. (EMC) a comprehensive approach to managing the flow of an information system's data and associated metadata from creation and initial storage to the time when it becomes obsolete and is deleted. (SearchStorage.com) Records management life cycle- Canada: Records management life cycle- Canada Stage 1: Info Mgmt Planning Stage 2: Collection, Creation, Receipt andamp; Capture Stage 3: Organization Stage 4: Use andamp; Dissemination Stage 5: Maintenance, Protection andamp; Preservation Stage 6: Disposition Stage 7: Evaluation MALIBU Usage Scenario: MALIBU Usage Scenario DISCOVER, LOCATE, ASSESS INFORMATION RESOURCES QUESTION EVALUATE, ANALYSE AND ANNOTATE REPORTING LOCATE INFORMATION ITEMS DISCOVER INFORMATION ITEMS EVALUATE INFORMATION ITEMS RETRIEVE INFORMATION ITEMS ACCESS AND EXPLORE INFORMATION ITEMS MALIBU Technical systems: MALIBU Technical systems INFORMATION LANDSCAPES: COLLECTION DESCRIPTIONS AND USER PROFILES SEARCHING AGENTS AND METADATA TOOLS OF THE TRADE: SOFTWARE, PEN AND PAPER, PAINTBRUSH.... DISTRIBUTION ADDRESSES AND DIRECTIONS: INTERACTIVE MAPS AND AUTHENTICATION DELIVERY SYSTEMS Slide9: design experiment analyze results conduct experiment(s) experiment life cycle Rajendra Bose, DCC Slide10: design experiment analyze results publish data products, scientific findings acquire, publish experimental results, data products collect data needed for experiments scientific DBMS, warehouses, archives conduct experiment(s) experiment life cycle + scientific information life cycle Rajendra Bose, DCC Slide11: Research/publication process Lord, Macdonald Slide12: . . . + Data archiving Lord, Macdonald . . . + curation: . . . + curation Scientist Research Process Secondary (derived) data Tertiary data for publication Primary publication Secondary publication Tertiary Publication Peer Review Pre-print Publication Archives Library - Peers - Public - Industry Publication Process Primary data Web Content Patent data Research Process Research based on data Curation Curator Curation Process Archived data Data repositories Metadata Lord, Macdonald Slide14: From: JISC e-Research brochure: e-Science Data curation, November 2004. andlt;http://www.jisc.ac.ukandgt; Slide15: Research andamp; e-Science workflows Aggregator services: national, commercial Repositories : institutional, e-prints, subject, data, learning objects Harvestingmetadata Data creation / capture / gathering: laboratory experiments, Grids, fieldwork, surveys, media Deposit / self-archiving Peer-reviewed publications: journals, conference proceedings Publication Validation Data analysis, transformation, mining, modelling Searching , harvesting, embedding Presentation services: subject, media-specific, data, commercial portals Resource discovery, linking, embedding The scholarly knowledge cycle. Liz Lyon, Ariadne, July 2003. Slide16: Learning andamp; Teaching workflows Aggregator services: national, commercial Repositories : institutional, e-prints, subject, data, learning objects Institutional presentation services: portals, Learning Management Systems, u/g, p/g courses, modules Harvestingmetadata Resource discovery, linking, embedding Peer-reviewed publications: journals, conference proceedings Validation Resource discovery, linking, embedding Deposit / self-archiving Learning object creation, re-use Searching , harvesting, embedding Quality assurance bodies Validation Presentation services: subject, media-specific, data, commercial portals Slide17: Learning andamp; Teaching workflows Research andamp; e-Science workflows Aggregator services: national, commercial Repositories : institutional, e-prints, subject, data, learning objects Institutional presentation services: portals, Learning Management Systems, u/g, p/g courses, modules Harvestingmetadata Data creation / capture / gathering: laboratory experiments, Grids, fieldwork, surveys, media Resource discovery, linking, embedding Deposit / self-archiving Peer-reviewed publications: journals, conference proceedings Publication Validation Data analysis, transformation, mining, modelling Resource discovery, linking, embedding Deposit / self-archiving Learning object creation, re-use Searching , harvesting, embedding Quality assurance bodies Validation Presentation services: subject, media-specific, data, commercial portals Resource discovery, linking, embedding The database picture: The database picture Source data Curated data: classified, cleaned, annotated, integrated, cross-linked Peter Buneman Simple life cycle: Simple life cycle Create Edit Use Destroy Simple life cycle: Simple life cycle Create Edit Use Search Locate Get access Get information Use (maybe change state) Destroy (or lose!) Preservation life cycle: Preservation life cycle Create Edit Use/reuse Preserve Reuse Destroy Curation life cycle: Curation life cycle Create Edit, use Edit, reuse… Reorganise Edit, reuse Then maybe Preserve, reuse, destroy Over extended time… Slide23: Digital curation preserving digital data archives: assessment, storage, migration presenting providing interfaces for data discovery; providing ability to annotate and retrieve the provenance (lineage) of data collections publishing not just journal articles: data collections, databases plus associated annotations and provenance information Improving stewardship of the scientific research record Rajendra Bose, DCC Digital Curation Centre: Digital Curation Centre www.dcc.ac.uk You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
dcc life cycle Pumbaa Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 871 Category: News & Reports.. License: All Rights Reserved Like it (1) Dislike it (0) Added: August 09, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Information Life Cycle and Curation: Information Life Cycle and Curation Chris Rusbridge, Digital Curation Centre Funded by: InfoBike…: InfoBike… Not Found: The requested URL /elib/infobike/homepage.html was not found on this server. Contents: Contents Curation Life cycle approaches… Typical life cycle Preservation life cycle Curation life cycle Definition of digital curation: Definition of digital curation 'maintaining and adding value to a trusted body of digital information for current and future use' Commercial approach: Commercial approach Information Lifecycle Management a strategy for aligning your IT infrastructure with the needs of your business -- based on information's changing value. (EMC) a comprehensive approach to managing the flow of an information system's data and associated metadata from creation and initial storage to the time when it becomes obsolete and is deleted. (SearchStorage.com) Records management life cycle- Canada: Records management life cycle- Canada Stage 1: Info Mgmt Planning Stage 2: Collection, Creation, Receipt andamp; Capture Stage 3: Organization Stage 4: Use andamp; Dissemination Stage 5: Maintenance, Protection andamp; Preservation Stage 6: Disposition Stage 7: Evaluation MALIBU Usage Scenario: MALIBU Usage Scenario DISCOVER, LOCATE, ASSESS INFORMATION RESOURCES QUESTION EVALUATE, ANALYSE AND ANNOTATE REPORTING LOCATE INFORMATION ITEMS DISCOVER INFORMATION ITEMS EVALUATE INFORMATION ITEMS RETRIEVE INFORMATION ITEMS ACCESS AND EXPLORE INFORMATION ITEMS MALIBU Technical systems: MALIBU Technical systems INFORMATION LANDSCAPES: COLLECTION DESCRIPTIONS AND USER PROFILES SEARCHING AGENTS AND METADATA TOOLS OF THE TRADE: SOFTWARE, PEN AND PAPER, PAINTBRUSH.... DISTRIBUTION ADDRESSES AND DIRECTIONS: INTERACTIVE MAPS AND AUTHENTICATION DELIVERY SYSTEMS Slide9: design experiment analyze results conduct experiment(s) experiment life cycle Rajendra Bose, DCC Slide10: design experiment analyze results publish data products, scientific findings acquire, publish experimental results, data products collect data needed for experiments scientific DBMS, warehouses, archives conduct experiment(s) experiment life cycle + scientific information life cycle Rajendra Bose, DCC Slide11: Research/publication process Lord, Macdonald Slide12: . . . + Data archiving Lord, Macdonald . . . + curation: . . . + curation Scientist Research Process Secondary (derived) data Tertiary data for publication Primary publication Secondary publication Tertiary Publication Peer Review Pre-print Publication Archives Library - Peers - Public - Industry Publication Process Primary data Web Content Patent data Research Process Research based on data Curation Curator Curation Process Archived data Data repositories Metadata Lord, Macdonald Slide14: From: JISC e-Research brochure: e-Science Data curation, November 2004. andlt;http://www.jisc.ac.ukandgt; Slide15: Research andamp; e-Science workflows Aggregator services: national, commercial Repositories : institutional, e-prints, subject, data, learning objects Harvestingmetadata Data creation / capture / gathering: laboratory experiments, Grids, fieldwork, surveys, media Deposit / self-archiving Peer-reviewed publications: journals, conference proceedings Publication Validation Data analysis, transformation, mining, modelling Searching , harvesting, embedding Presentation services: subject, media-specific, data, commercial portals Resource discovery, linking, embedding The scholarly knowledge cycle. Liz Lyon, Ariadne, July 2003. Slide16: Learning andamp; Teaching workflows Aggregator services: national, commercial Repositories : institutional, e-prints, subject, data, learning objects Institutional presentation services: portals, Learning Management Systems, u/g, p/g courses, modules Harvestingmetadata Resource discovery, linking, embedding Peer-reviewed publications: journals, conference proceedings Validation Resource discovery, linking, embedding Deposit / self-archiving Learning object creation, re-use Searching , harvesting, embedding Quality assurance bodies Validation Presentation services: subject, media-specific, data, commercial portals Slide17: Learning andamp; Teaching workflows Research andamp; e-Science workflows Aggregator services: national, commercial Repositories : institutional, e-prints, subject, data, learning objects Institutional presentation services: portals, Learning Management Systems, u/g, p/g courses, modules Harvestingmetadata Data creation / capture / gathering: laboratory experiments, Grids, fieldwork, surveys, media Resource discovery, linking, embedding Deposit / self-archiving Peer-reviewed publications: journals, conference proceedings Publication Validation Data analysis, transformation, mining, modelling Resource discovery, linking, embedding Deposit / self-archiving Learning object creation, re-use Searching , harvesting, embedding Quality assurance bodies Validation Presentation services: subject, media-specific, data, commercial portals Resource discovery, linking, embedding The database picture: The database picture Source data Curated data: classified, cleaned, annotated, integrated, cross-linked Peter Buneman Simple life cycle: Simple life cycle Create Edit Use Destroy Simple life cycle: Simple life cycle Create Edit Use Search Locate Get access Get information Use (maybe change state) Destroy (or lose!) Preservation life cycle: Preservation life cycle Create Edit Use/reuse Preserve Reuse Destroy Curation life cycle: Curation life cycle Create Edit, use Edit, reuse… Reorganise Edit, reuse Then maybe Preserve, reuse, destroy Over extended time… Slide23: Digital curation preserving digital data archives: assessment, storage, migration presenting providing interfaces for data discovery; providing ability to annotate and retrieve the provenance (lineage) of data collections publishing not just journal articles: data collections, databases plus associated annotations and provenance information Improving stewardship of the scientific research record Rajendra Bose, DCC Digital Curation Centre: Digital Curation Centre www.dcc.ac.uk