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Playing with Jane

Date post: 08-Jul-2015
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Description:
Workshop slides presented to a group at the University of Hawaii, December 4, 2014. Slides include a step-by-step description of importing a MARC file to RIMMF, plus some issues that remain after the process and products are examined.
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A step - by - step introduction to describing the resources swirling around Jane Austin University of Hawaii, December 2014
Transcript
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A step-by-step introduction to describing the resources swirling around Jane Austin

University of Hawaii, December 2014

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Well constructed for FRBR-based description

Data structure comes from RDA Registry

Links to RDA Toolkit throughout data building process

Useful visualization of groups of records

RDF export

Improves discussion of issues with RDA

Step-by-step illustration of adding a record [next]

Why RIMMF?

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Record sharing

Identification

RDF

Data Aggregation

Looking more clearly at workflow and maintenance

Provenance: who, what when, [where?]

Issues for Discussion

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Substituting a Cache for a Database

Supports multiple streams of data

Allows detailed provenance to be carried over time

Separates services from data storage

Allows more extensive automation (and orchestration of services)

Focuses valuable human effort where it’s needed: analysis, design and implementation of improvement services

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Workflow

Obtain data (possibly as ‘records’)

Store data as statements in cache

Evaluate data by source or collection

Improve data using specific services, as determined by evaluation

Publish improved data

[Rinse, repeat]

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Developing Automated Interaction

Rule: Use humans for things requiring human understanding and decision making

Use machines for everything else

A manual process for something a machine can do as well or better is a failure

Improvement services can be granular, invoked in prescribed order, and report results for later use

Continuous improvement necessary to respond to continuous change

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Data Maintenance

• Improved data returns as statements to the data cache, with provenance attached

• Statement strategy avoids overwriting of new data over ‘improved’ data

Each new statement adds to what is known about a described resource

Statements can be cherry picked and exposed to others in statements or records, in ‘flavors’ or as a ‘everything we have’

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Contact Information

Diane [email protected]

Links:

http://RDARegistry.info

http://marc21rdf.info

http://managemetadata.com/blog/

The First MetadataMobile

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