Kristin Eberle Monica Hampton Carmen Velasquez Kristin Eberle Monica Hampton Carmen Velasquez Knowledge Management.

Slides:



Advertisements
Similar presentations
Dublin Core for Digital Video: Overview of the ViDe Application Profile.
Advertisements

Putting together a METS profile. Questions to ask when setting down the METS path Should you design your own profile? Should you use someone elses off.
October 28, 2003Copyright MIT, 2003 METS repositories: DSpace MacKenzie Smith Associate Director for Technology MIT Libraries.
DSpace: the MIT Libraries Institutional Repository MacKenzie Smith, MIT EDUCAUSE 2003, November 5 th Copyright MacKenzie Smith, This work is the.
A. Grigorov, A. Georgiev, M. Petrov, S. Varbanov, K. Stefanov Building a Knowledge Repository for Life-long Competence Development.
Natalia Wehler: Dublin Core Requirements on Metadata  multiple softwares to use metadata  management of changing standards  needs to be functional,
Knowledge Management By: Duc Phan Morgan Murphy. Overview Intro to Knowledge Management (KM) Types of KM Technologies Meta Data Meta Data Harvesting Software.
An Introduction to Metadata by Wendy Duff ECURE 2000 October 6, 2000.
Metadata: An Introduction By Wendy Duff October 13, 2001 ECURE.
1 CS 502: Computing Methods for Digital Libraries Lecture 17 Descriptive Metadata: Dublin Core.
OLC Spring Chapter Conferences Metadata, Schmetadata … Tell Me Why I Should Care? OLC Spring Chapter Conferences, 2004 Margaret.
The RDF meta model: a closer look Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations.
Demonstration of repositories Fedora (Flexible Extensible Digital Object Repository Architecture) Marie Lagerwall MIDESS Partners Meeting February 9, 2007.
Europeana: Europe's Digital Library, Museum and Archive Ashley Carter and Dana Sagona.
NOBLE Digital Library. How does it work? The NOBLE Digital Library uses the DSpace platform. Image files and metadata are imported into DSpace using.
National Aeronautics and Space Administration Implementing DSpace at NASA Langley Research Center 1 Greta Lowe Librarian NASA Langley Research Center
1. 2 Module 7 Content and knowledge Management Objectives To provide basic concepts and knowledge of Content Management to CIOs and explore the applicability.
Metadata: Its Functions in Knowledge Representation for Digital Collections 1 Summary.
DUBLIN CORE: BEYOND THE LIBRARY David Hirsch LIS Knowledge Organization Dr. Selenay Aytac Spring 2013.
Educause October 29, 2001 A GEM of a Resource: The Gateway to Educational Materials Copyright Nancy Virgil Morgan, This work is the intellectual.
ETD Repositories Using DSpace Software Andrew Penman The Robert Gordon University 27 th September 2004.
Digital Library Architecture and Technology
Publishing Digital Content to a LOR Publishing Digital Content to a LOR 1.
Dr. Kurt Fendt, Comparative Media Studies, MIT MetaMedia An Open Platform for Media Annotation and Sharing Workshop "Online Archives:
Introduction to Metadata: Overview and Guidelines Using the Dublin Core Metadata Schema Amelia Breytenbach Metadata Specialist
8/28/97Organization of Information in Collections Introduction to Description: Dublin Core and History University of California, Berkeley School of Information.
Metadata: An Overview Katie Dunn Technology & Metadata Librarian
DSpace. TM 2 Agenda  Introduction to DSpace  DSpace community  Institutional Repository  Easy to add/find content in DSpace  Building Online Communities.
Metadata Xiangming Mu. What is metadata? What is metadata? (cont’) Data about data –Any data aids in the identification, description and location of.
11-15 April 2011 Mauritius Institute of Health S.S.Pillai
Organizing Internet Resources OCLC’s Internet Cataloging Project -- funded by the Department of Education -- from October 1, 1994 to March 31, 1996.
Ms. Irene Onyancha ISTD/Library & Information Management Services United Nations Economic Commission for Africa The Second Session of the Committee on.
Producción de Sistemas de Información Agosto-Diciembre 2007 Sesión # 8.
Meta Tagging / Metadata Lindsay Berard Assisted by: Li Li.
Jan 9, 2004 Symposium on Best Practice LSA, Boston, MA 1 Metadata Helen Aristar Dry Eastern Michigan University LINGUIST List.
JENN RILEY METADATA LIBRARIAN IU DIGITAL LIBRARY PROGRAM Introduction to Metadata.
Integrating a Statewide Web Gateway With Digital Collections ______________________ Eric Weig and Beth Kraemer University of Kentucky and KCVL.
Creating Archive Information Packages for Data Sets: Early Experiments with Digital Library Standards Ruth Duerr, NSIDC MiQun Yang, THG Azhar Sikander,
1 Metadata –Information about information – Different objects, different forms – e.g. Library catalogue record Property:Value: Author Ian Beardwell Publisher.
Modularization and Interoperability: Dublin Core and the Warwick Framework Sandra D. Payette Digital Library Research Group Cornell University November.
Metadata and Documentation Iain Wallace Performing Arts Data Service.
Discovery Metadata for Special Collections Concepts, Considerations, Choices William E. Moen School of Library and Information Sciences Texas Center for.
Introduction to metadata
This presentation describes the development and implementation of WSU Research Exchange, a permanent digital repository system that is being, adding WSU.
1 Dublin Core & DCMI – an introduction Some slides are from DCMI Training Resources at:
Introduction to Metadata Jenn Riley Metadata Librarian IU Digital Library Program.
OAI Overview DLESE OAI Workshop April 29-30, 2002 John Weatherley
Agenda Why discuss Digital Libraries What is a digital Library History Meta-data FEDORA NSDL D Space.
21 June 2001Managing Information Resources for e-Government1 The Dublin Core Makx Dekkers, Managing Director, Dublin Core Metadata Initiative
A centre of expertise in digital information managementwww.ukoln.ac.uk DCMI Affiliates: Implications for Institutions Rosemary Russell UKOLN University.
The RDF meta model Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations of XML compared.
Metadata “Data about data” Describes various aspects of a digital file or group of files Identifies the parts of a digital object and documents their content,
Metadata and Meta tag. What is metadata? What does metadata do? Metadata schemes What is meta tag? Meta tag example Table of Content.
DSpace - Digital Library Software
Institutional Repositories: the DSpace Experience Ann J. Wolpert Director of Libraries Massachusetts Institute of Technology.
DSpace System Architecture 11 July 2002 DSpace System Architecture.
Sharing Digital Scores: Will the Open Archives Initiative Protocol for Metadata Harvesting Provide the Key? Constance Mayer, Harvard University Peter Munstedt,
1 CS 430: Information Discovery Lecture 26 Architecture of Information Retrieval Systems 1.
Describing resources II: Dublin Core CERN-UNESCO School on Digital Libraries Rabat, Nov 22-26, 2010 Annette Holtkamp CERN.
A centre of expertise in digital information management UKOLN is supported by: Metadata – what, why and how Ann Chapman.
Metadata & Repositories Jackie Knowles RSP Support Officer.
CONTENTdm A proven solution September A complete digital collection management software solution Stores, manages and provides access for all digital.
Session 3 Metadata & Workflow
Information modeling and infrastructures for metadata
WHAT DOES THE FUTURE HOLD? Ann Ellis Dec. 18, 2000
VI-SEEM Data Repository
Introduction to Metadata
VI-SEEM Data Repository
Metadata to fit your needs... How much is too much?
A Whirlwind Tour Through Part of the Metadata Landscape
Presentation transcript:

Kristin Eberle Monica Hampton Carmen Velasquez Kristin Eberle Monica Hampton Carmen Velasquez Knowledge Management

 A way to manage all of the knowledge that an organization possesses.  Accomplished through Digital Asset Management (DAM). The art of archiving  A way to manage all of the knowledge that an organization possesses.  Accomplished through Digital Asset Management (DAM). The art of archiving

Benefits of (DAM) ROI on DAM is between 8-14:1.  Labor reduction - no redundancy.  Reuse of existing assets from previous projects.  Faster turnaround time.  Workflow efficiency. ROI on DAM is between 8-14:1.  Labor reduction - no redundancy.  Reuse of existing assets from previous projects.  Faster turnaround time.  Workflow efficiency.

Digital Library A way to store and retrieve knowledge via online networks. Electronic repository for:  Textual and numeric data  Scanned images and graphics  Audio & video recordings A way to store and retrieve knowledge via online networks. Electronic repository for:  Textual and numeric data  Scanned images and graphics  Audio & video recordings

Digital Library Who uses a digital library?  Companies; e.g., HP, Nike  Governmental & nongovernmental organizations. You have access to digital libraries for academic, research, and cultural resources. Who uses a digital library?  Companies; e.g., HP, Nike  Governmental & nongovernmental organizations. You have access to digital libraries for academic, research, and cultural resources.

Metadata  Information about a set of data  “Data about data”  Structured, encoded information that describes, explains, or locates an information resource  Aids in identification, discovery, assessment and management of the described entities  Leads to discovery of relevant information  Information about a set of data  “Data about data”  Structured, encoded information that describes, explains, or locates an information resource  Aids in identification, discovery, assessment and management of the described entities  Leads to discovery of relevant information

Traditional Library Catalog  Catalog contains data about location and content of a book: Author Title Year published Genre ISBN number Dewey call number Brief synopsis Keywords  Catalog contains data about location and content of a book: Author Title Year published Genre ISBN number Dewey call number Brief synopsis Keywords

To locate a book using the catalog:  Search through the cards using any of the criteria  Location for book will be listed on card  May be multiple results  Search through the cards using any of the criteria  Location for book will be listed on card  May be multiple results

Three Categories of Metadata 1.Descriptive- Describes a resource for purposes such as search and retrieval. 2.Structural- Indicates the connection between objects to create a logical tie. 3.Administrative- Helps manage the information or control access to the information. 1.Descriptive- Describes a resource for purposes such as search and retrieval. 2.Structural- Indicates the connection between objects to create a logical tie. 3.Administrative- Helps manage the information or control access to the information.

Dublin Core Metadata Initiative (DCMI )  Defines a set of elements to be used by authors to describe their resources  Created for simple resource discovery  Continually refined by an international, cross-disciplinary group of professionals  Easy for web authors to adopt  No specific order necessary  Encourages the use of encoding and vocabulary schemes  Defines a set of elements to be used by authors to describe their resources  Created for simple resource discovery  Continually refined by an international, cross-disciplinary group of professionals  Easy for web authors to adopt  No specific order necessary  Encourages the use of encoding and vocabulary schemes

Two Types of Dublin Core 1.Simple Dublin Core- title, creator, subject, description, publisher contributor, date,type, format, identifier, source, language, relation, coverage, rights 2.Qualified Dublin Core- Includes all of the above fifteen plus: audience, provenance and rights holder 1.Simple Dublin Core- title, creator, subject, description, publisher contributor, date,type, format, identifier, source, language, relation, coverage, rights 2.Qualified Dublin Core- Includes all of the above fifteen plus: audience, provenance and rights holder

Periodic Harvesting  Scheduled harvesting/uploading of data (e.g. one a day)  Documents are stored on the harvesting server  Searching is done on the server.  Scheduled harvesting/uploading of data (e.g. one a day)  Documents are stored on the harvesting server  Searching is done on the server.

Federated Harvesting  Searches as a request is made (on the fly)  No data are stored on the server.  Data are transferred from a remote source  Effective with smaller amounts of data, large quantities can bog down the system  Searches as a request is made (on the fly)  No data are stored on the server.  Data are transferred from a remote source  Effective with smaller amounts of data, large quantities can bog down the system

KM/DAM Software  KM: Knowledge Management  DAM: Digital Asset Management  Open Source DSpace Fedora  Licensed Digital Librarian Documentum  KM: Knowledge Management  DAM: Digital Asset Management  Open Source DSpace Fedora  Licensed Digital Librarian Documentum

DSpace  Created in MIT Libraries and Hewlett-Packard Labs  Operating System - UNIX or LINUX  Archiving, browsing and retrieval are the primary functions  Accepts all forms of digital materials: text, images, video, and audio files  Created in MIT Libraries and Hewlett-Packard Labs  Operating System - UNIX or LINUX  Archiving, browsing and retrieval are the primary functions  Accepts all forms of digital materials: text, images, video, and audio files

Fedora  Created by UVA and Cornell  Commonly used  Operating System  Does not have a user friendly interface for uploading  Not something that just anyone can install  Created by UVA and Cornell  Commonly used  Operating System  Does not have a user friendly interface for uploading  Not something that just anyone can install

Remember! Digital Libraries are also for Companies:  Hewlett-Packard uses one  NIKE is implementing one Digital Libraries are also for Companies:  Hewlett-Packard uses one  NIKE is implementing one

Sources 04-digital-library_x.htm 04-digital-library_x.htm digital-library_x.htm 04-digital-library_x.htm