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Tutorial 4 DC2004 Shanghai Library 14 October 2004 Stuart A Sutton Joseph T Tennis Information School of the University of Washington Seattle USA Goals of the Tutorial 149Controlled
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Creating and Managing Controlled Vocabularies for Use in Metadata ...: Transcript
Tutorial 4 DC2004 Shanghai Library 14 October 2004 Stuart A Sutton Joseph T Tennis Information School of the University of Washington Seattle USA Goals of the Tutorial 149Controlled vocab. Alasdair J G Gray. Norman Gray. Iadh. . Ounis. What is a Vocabulary?. 1. 5 November 2008. ADASS - Vocabularies in the VO. What is a Controlled Vocabulary?. A set of terms with:. Label. Synonyms. Definition. Holly Wright. Overview. Why do we care about interoperability? Isn’t it enough to just make our data available for re-use?. Once you go through all the hard work of preserving and disseminating your data, a whole world opens up!. Central Lunatic Asylum for the Colored Insane. Digitization. Digitization. Paper vs. Bits. Paper vs. Bits. Paper vs. Bits. Beyond Digitization. Metadata Schema. Controlled vocabularies. OCR – Optical Character Recognition. Slides Template for Module 3. Contextual details needed to make data meaningful to others. Learning Objectives. Understand what metadata . is . Understand . why metadata is . important. Identify . applicable standards for . Introduction to metadata management. This presentation has been created by PwC. Authors: . Makx Dekkers,. . Michiel De Keyzer, Nikolaos Loutas and Stijn Goedertier. . Disclaimer . The views expressed in this presentation are purely those of the authors and may not, in any circumstances, be interpreted as stating an official position of the European Commission.. Terrier Workshop: 24. th. October 2007. Alasdair J G Gray. Vocabularies in astronomy. Generating machine processible vocabularies. Exploring with vocabularies. Future work. Overview. Astronomical Vocabularies. Hack 5: Agro Portal and VEST Registry. Agro Hackathon. Montpellier, 29/6 – 1/7/2016. Our task in a new project. Mapping relevant standards and identifying areas where lack of standards is inhibiting. IVOA . InterOp. Semantics Session. . Trieste . Italy, May . 2008. Alasdair J. G. Gray. Outline. Vocabulary Exploration. Vocabulary Mappings. Why do we need them?. How should we express them?. A GUI Editor. By Carrie Moran. Project goal. To examine the Metadata Object Description Schema (MODS) metadata scheme to determine its utility based on structure, interoperability and metadata quality. . Mods. <History>. NURS 736: Technology Solutions for Knowledge Generation in Healthcare. Objectives. Discuss the need and motivation behind the development of standardized terminologies for nursing. . Compare and contrast existing nursing taxonomies and vocabularies.. Fabrizio Celli, Johannes Keizer . MTSR 2016. AGRIS. Bibliographic database of 8 million multilingual publications in the food and agricultural domain. 350,000 visits/month from more than . 200 countries and territories . Metadata for Discovery. Lola Olsen. 1. ,. . Tyler Stevens. 2. , . 1 National Aeronautics and Space Administration (NASA). 2 Wyle Information Systems (NASA Contractor). Section: . Local Data Management . Contextual details needed to make data meaningful to others. Learning Objectives. Understand what metadata . is . Understand . why metadata is . important. Identify . applicable standards for . capturing . Design. Collect. Share.. IASSIST 2010. 2. Introduction. EDDI 2010. 3. Colectica. Reader – Free DDI 3 Viewer. Creating and Managing DDI3. Importing into DDI3. Generation from DDI3. Demonstration. Colectica.
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