Metadata Principles Matthew Mayernik air • planet • people

Slides:



Advertisements
Similar presentations
Interoperability Principles in the Global Earth Observations System of Systems (GEOSS) Presented 13 March 2006 at eGY in Boulder, CO by: Eliot Christian,
Advertisements

Developing an Eye for Resemblances: FRBR and Relevancy Ranking in WorldCat Local Greg Matthews & Jon Scott WorldCat Discovery Day 30 July 2010.
Cambridge University Library RDA - Hugh Taylor, 7 Jan 09 RDA: Past, Present, Future Hugh Taylor CILIP Representative, Joint Steering Committee for Development.
Dublin Core A meta future Kara Luedke & Manny Brown.
RDF Kitty Turner. Current Situation there is hardly any metadata on the Web search engine sites do the equivalent of going through a library, reading.
1 CS 502: Computing Methods for Digital Libraries Lecture 17 Descriptive Metadata: Dublin Core.
AACR3: Resource Description and Access Presented by Dr. Barbara Tillett Chief, CPSO Library of Congress 2004.
RDA: Resource Description and Access A New Cataloging Standard for a Digital Future Jennifer Bowen OLAC 2006 Conference October 27, 2006
The RDF meta model: a closer look Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations.
RDA: Resource Description and Access A New Cataloging Standard for a Digital Future Jennifer Bowen Cornell University May 16, 2006
Metadata : Setting the Scene or a Basic Introduction Wendy Duff University of Toronto, Faculty of Information Studies.
Lecture Nine Database Planning, Design, and Administration
RDA AND AUTHORITY CONTROL Name: Hester Marais Job Title: Authority Describer Tel: Your institution's logo.
Introduction to Geospatial Metadata – FGDC CSDGM National Coastal Data Development Center A division of the National Oceanographic Data Center Please .
Improving Data Discovery in Metadata Repositories through Semantic Search Chad Berkley 1, Shawn Bowers 2, Matt Jones 1, Mark Schildhauer 1, Josh Madin.
Grey Literature, E-Repositories and Evaluation of Academic & Research Institutes. The case study of BPI e-repository Maria V. Kitsiou - Head Librarian,
Database System Development Lifecycle © Pearson Education Limited 1995, 2005.
8/28/97Organization of Information in Collections Introduction to Description: Dublin Core and History University of California, Berkeley School of Information.
Ontology Development in the Sciences Some Fundamental Considerations Ontolytics LLC Topics:  Possible uses of ontologies  Ontologies vs. terminologies.
Multiple Interpretations: Implications of FRBR as a Boundary Object Ingbert Floyd Graduate School of Library and Information Science,
7/14/09. Robert L. Maxwell RDA Lecture Series National Library of South Africa 22 July /14/09 Cataloging: Still a Professional Asset to Become Excited.
Preserving the Scientific Record: Preserving a Record of Environmental Change Matthew Mayernik National Center for Atmospheric Research Version 1.0 [Review.
Enhancing Content Visibility in Institutional Repositories: Maintaining Metadata Consistency Across Digital Collections Ahmet Meti Tmava and Daniel Gelaw.
Metadata and Geographical Information Systems Adrian Moss KINDS project, Manchester Metropolitan University, UK
Extensible Markup Language (XML) Extensible Markup Language (XML) is a simple, very flexible text format derived from SGML (ISO 8879).ISO 8879 XML is a.
DACS Describing Archives: A Content Standard. The Background  Archives, Personal Papers & Manuscripts, 1980s –New Technologies with Web, XML, EAD –Revision.
The Future of Cataloging Codes and Systems: IME ICC, FRBR, and RDA by Dr. Barbara B. Tillett Chief, Cataloging Policy & Support Office Library of Congress.
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.
What users want & how FRBR can help Diane Vizine-Goetz Research Scientist OCLC Research.
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.
RDA DAY 1 – part 2 web version 1. 2 When you catalog a “book” in hand: You are working with a FRBR Group 1 Item The bibliographic record you create will.
Intellectual Works and their Manifestations Representation of Information Objects IR Systems & Information objects Spring January, 2006 Bharat.
Description of Bibliographic Items. Review Encoding = Markup. The library cataloging “markup” language is MARC. Unlike HTML, MARC tags have meaning (i.e.,
Cataloging Unique Collections with RDA and Non-MARC Standards Melanie Wacker Metadata Coordinator Columbia University Libraries Jan. 21, 2012 ALA Midwinter.
The RDF meta model Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations of XML compared.
FRBR: Cataloging’s New Frontier Emily Dust Nimsakont Nebraska Library Commission NCompass Live December 15, 2010 Photo credit:
Functional Requirements for Bibliographic Records The Changing Face of Cataloging William E. Moen Texas Center for Digital Knowledge School of Library.
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,
COMMON COMMUNICATION FORMAT (CCF). Dr.S. Surdarshan Rao Professor Dept. of Library & Information Science Osmania University Hyderbad
Metadata ESA Workshop. In this session we will discuss…  Metadata: what are they? and why should they be created?  Metadata standards  Creating metadata.
RDA: history and background Ann Huthwaite Library Resource Services Manager, QUT ACOC Seminar, Sydney, 24 October 2008.
Introduction to Metadata March 2016 What is Metadata?
Geospatial metadata Prof. Wenwen Li School of Geographical Sciences and Urban Planning 5644 Coor Hall
Some basic concepts Week 1 Lecture notes INF 384C: Organizing Information Spring 2016 Karen Wickett UT School of Information.
Information organization Week 2 Lecture notes INF 380E: Perspectives on Information Spring 2015 Karen Wickett UT School of Information.
Knowledge Representation Part I Ontology Jan Pettersen Nytun Knowledge Representation Part I, JPN, UiA1.
Information organization Week 2 Lecture notes INF 380E: Perspectives on Information Spring 2015 Karen Wickett UT School of Information.
Lecture 12 Why metadata? CS 502 Computing Methods for Digital Libraries Cornell University – Computer Science Herbert Van de Sompel
Dublin Core Metadata Initiative Abstract Model
Cataloging Unique Collections with RDA and Non-MARC Standards
Document, Index, Discover, Access
Introduction to Metadata
Working with your archive organization Broadening your user community
Ken Baker ISA President October 2006
Identifiers Answer Questions
Data Management: Documentation & Metadata
Chapter 6 HEALTHCARE MARKETING. Chapter 6 HEALTHCARE MARKETING.
Cataloging Tips and Tricks
What It Is, and Why It Helps Christine de Catanzaro August 23, 2006
A Whirlwind Tour Through Part of the Metadata Landscape
Accommodating local cataloguing traditions in a global context
Metadata in Digital Preservation: Setting the Scene
Some Options for Non-MARC Descriptive Metadata
Introduction to the MIABIS SOP Working Group
Department of Computer Science Abdul Wali Khan University Mardan
Taking the STANDARDS Seriously
The Digital Library for Earth System Education (DLESE):
Australian and New Zealand Metadata Working Group
Presentation transcript:

Metadata Principles Matthew Mayernik air • planet • people Project Scientist & Research Data Services Specialist NCAR Library / UCAR Integrated Information Services National Center for Atmospheric Research (NCAR) University Corporation for Atmospheric Research (UCAR) ESIP Winter Meeting Jan. 6, 2016 UCAR NCAR UCP air • planet • people

Principles & Professional Practice Principles are an established part of library and information science education & practice Principles of library cataloging, e.g. authorship as main consideration for access points, focus on “works” vs. individual books Principles of archival arrangement and description, e.g. respect des fonds and provenance Debates about principles have been central to the intellectual development of the fields

[image on right] Tillett, B. B. & Cristan, A. L. (Eds. ). (2009) [image on right] Tillett, B.B. & Cristan, A.L. (Eds.). (2009). IFLA Cataloguing Principles: Statement of International Cataloging Principles (ICP) and its Glossary. Munchen: K. G. Saur. http://www.ifla.org/files/assets/cataloguing/icp/icp_2009-en.pdf

Conf. 1995 Proc. 1998 Conf. 1997 Proc. 1998 Conf. 1998 Proc. 2000 Schottlaender, B.E.C. (Ed.). (1998). The Future of the Descriptive Cataloging Rules: Papers from the ALCTS Preconference, AACR2000, American Library Association Annual Conference, Chicago, June 22, 1995. Chicago, IL: American Library Association. Weihs, J. (Ed.). (1998). The Principles and Future of AACR: Proceedings of the International Conference on the Principles and Future Development of AACR. Chicago, IL: American Library Association. Harkness Connell, T. & Maxwell, R.L. (Eds.). (2000). The Future of Cataloging: Insights from the Lubetzky Symposium. Chicago, IL: American Library Association.

Why Principles? Principles offer directives for how information systems and languages should be designed Help bring more consistency within and between standards: The ways that they are constructed The practices they promote Help to formalize data management & metadata education

LIS Metadata Principles Svenonius (2000) – Principles specific to the design of a bibliographic language Weibel (1995) – Principles that guided the development of the Dublin Core metadata element set User convenience: descriptions should be made with the user in mind, including using vocabulary according with common usage. Extensibility. Extension mechanisms allow the inclusion of intrinsic data for objects that cannot be adequately described by a small set of elements. Modifiability. It is necessary that the definitions of the elements satisfy the needs of different communities. Accuracy of representation: descriptions should be based on the way an information entity describes itself, and should faithfully portray the entity described. Intrinsicality. The Dublin Core concentrates on describing intrinsic properties of the object, e.g. that could be discovered by having the work in hand, such as its intellectual content and physical form. Sufficiency and necessity: descriptions should be sufficient to achieve stated objectives and should not include elements not required for this purpose. Repeatability. All elements in the Dublin Core are repeatable. Optionality. All elements in the Dublin Core are optional. Standardization: descriptions should be standardized to the extent possible. Syntax Independence. Syntactic bindings are avoided because the Dublin Core is intended to be used in a range of disciplines and application programs. [Note: this is counter to the standardization principle.] Integration: descriptions for all types of materials should be based on a common set of rules, to the extent possible. Svenonius, E. (2000). The Intellectual Foundation of Information Organization. Cambridge, MA: MIT Press. Pg. 68. Weibel, S. (1995). Metadata: the foundations of resource description. D-Lib Magazine, 1(1). http://www.dlib.org/dlib/July95/07weibel.html

ISO 19115-1:2014 “This part of ISO 19115 is intended to be used by information system analysts, program planners, and developers of information systems, as well as others in order to define basic principles and requirements for standardized description of information resources.” (pg. v)

EML Fegraus, E. H., Andelman, S., Jones, M. B., & Schildhauer, M. (2005). Bulletin of the Ecological Society of America, 86(3): 158–168. http://doi.org/10.1890/0012-9623(2005)86[158:MTVOED]2.0.CO;2

Metadata Functions Michener (2006) - (1) support data discovery; (2) facilitate acquisition, comprehension and utilization of data by humans; and (3) enable automated data discovery Danko (2011) - Locate, evaluate, access, and employ data Michener, W.K. (2006). Meta-information concepts for ecological data management. Ecological Informatics, 1(1): 3-7. Danko, D. M. (2011). Geospatial Metadata. In W. Kresse & D. M. Danko (Eds.), Springer Handbook of Geographic Information (pp. 191–244). Berlin: Springer. http://link.springer.com/10.1007/978-3-540-72680-7_12

Principles Functions Goals How? Principles What? Why? Functions Goals

LIS Metadata Principles Svenonius (2000) – Principles specific to the design of a bibliographic language Weibel (1995) – Principles that guided the development of the Dublin Core metadata element set User convenience: descriptions should be made with the user in mind, including using vocabulary according with common usage. Extensibility. Extension mechanisms allow the inclusion of intrinsic data for objects that cannot be adequately described by a small set of elements. Modifiability. It is necessary that the definitions of the elements satisfy the needs of different communities. Accuracy of representation: descriptions should be based on the way an information entity describes itself, and should faithfully portray the entity described. Intrinsicality. The Dublin Core concentrates on describing intrinsic properties of the object, e.g. that could be discovered by having the work in hand, such as its intellectual content and physical form. Sufficiency and necessity: descriptions should be sufficient to achieve stated objectives and should not include elements not required for this purpose. Repeatability. All elements in the Dublin Core are repeatable. Optionality. All elements in the Dublin Core are optional. Standardization: descriptions should be standardized to the extent possible. Syntax Independence. Syntactic bindings are avoided because the Dublin Core is intended to be used in a range of disciplines and application programs. [Note: this is counter to the standardization principle.] Integration: descriptions for all types of materials should be based on a common set of rules, to the extent possible. Svenonius, E. (2000). The Intellectual Foundation of Information Organization. Cambridge, MA: MIT Press. Pg. 68. Weibel, S. (1995). Metadata: the foundations of resource description. D-Lib Magazine, 1(1). http://www.dlib.org/dlib/July95/07weibel.html

Questions What are the principles of metadata creation for scientific data? Would the scientific data communities benefit from developing an agreed-upon set of metadata principles? What would be the appropriate venue(s) for such discussions? ESIP? Research Data Alliance?