Metadata Encoding and Harvesting

1. Prepared by
Rakesh Mallick
Roll No. 001800802018
Master of Library & Information Science
2018-2019
Under the Guided by
Dr. Subarna Kumar Das
Department of Library & Information Science
Jadavpur University

2.  Meaning
 Metadata
 Scope
 Components
 Types / Category
 Objectives
 Services
 Advantage of Metadata
 Conclusion

3. Metadata (meta data, or sometimes meta-information) is
"data about data", of any sort in any media. Metadata
is text, voice, or image that describes what the
audience wants or needs to see or experience. The
audience could be a person, group, or software
program. Metadata is important because it aids in
clarifying and finding the actual data. An item of
metadata may describe an individual datum, or
content item, or a collection of data including multiple
content items and hierarchical levels, such as a
database schema. In data processing, metadata
provides information about or documentation of,
other data managed within an application or
environment. This commonly defines the structure or
schema of the primary data.

4.  The syntax or prescribed order for the elements
contained in the metadata description is metadata
encoding.
 Metadata harvesting is automatically gathering
metadata that is already associated with a
resource, and which has been produced via
automatic or manual means. Metadata harvested
may be attached to a document (e.g., it may be
encoded in the header of a Web resource), or it
may be found in a metadata registry or database.
The only protocol that has been considered for
harvesting has been the Open Archives Initiative
Protocol for Metadata Harvesting (OAI-PMH)

5.  Resource description
 Information retrieval
 Management of Information resources
 Documenting ownership and
authenticity of digital resources

6.  Complex Qualified
Type
 Operation Metadata
 Operation Metadata
Trace Record
 Parameterized
Operation Metadata
 Operation Parameter
 Operation Parameter
Direction
 Operation Result
 Qualified Type
 Qualified Type
Container
 Simple Qualified Type
 Type Member
 Type Metadata
 Structured Type
Metadata
 Type Metadata
Collection
 Type Metadata Trace
Record

7. There are five types of metadata-
 Administrative
 Descriptive
 Preservation
 Technical
 Use

8. Data Quality
 IT systems productivity
Avoiding duplication
Avoiding information conflict issues
Regulatory compliance
Business Process Management and its
cascading impacts
Handling any kind of change management
Better estimations and business case
management
Making scalable and extensible models

9.  AGLS (Australian Government Locator Service)
 ANZLIS (Australia New Zealand Information Council)
 DC (Dublin Core).
 EAD (Encoded Archival Description)
 EDNA (Education Network Australia)
 GILS (Government Information Locator Service)
 TEI (Text Encoding Initiatives)
 VRA (Visual Resource Association)

10.  A Metadata Service provides a forum for
sharing metadata. If you're looking for
data, you might search or browse a
Metadata Service to find what you need.
 Similarly, if you have data that you want
to share with others, you can do so by
publishing it to a Metadata Service where
others can see it.

11.  Metadata enhances retrieval
performance.
 Metadata provides a way of managing
digital objects.
 Metadata can help to determine the
authenticity of data.

12. The impact of the information explosion is enormous
and far-reaching. We currently find ourselves as its
victims. Yet we firmly believe that the web itself will
one day provide the solution to the problem. The
semantic web, as proposed by the World Wide
Web’s founder, is to the knowledge the key tool
with a sufficient following to begin to address the
simple problem: if we cannot know everything on a
topic, then let us at least know that which is most
credible and relevant.