2. Conceptual & practical processes at work
»Community driven,
developed, actioned and
versioned
»Aligned to national and
international standards
»Based on popular data models
»Transparent
Conceptual
»No starting from scratch
»Integration with existing
products and services
»Controlled development to aid
interoperability
»Changing practice of metadata
management
»Good documentation
Practical
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3. Example - Adapting the model
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4. Example – controlled development
> 1500 lines of metadata XML for one Archival Information Package
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5. Research Data Shared Service
»Metadata micro-services
»Thresholds for acceptance
»Less than minimum rejected
»Fields weighted to score a
bronze, silver or gold rating.
»Encourages metadata
completeness
»Automated field population
5
7. Metadata focus groups
»Work conducted by Nicky Ferguson (Clax Ltd.)
»Joined up with focus groups conducted by Research
Consulting
»Find use cases / user stories to test the Research Data
Discovery Service infrastructure
»6 visits so far
»8 visits planned
»Reports scheduled forWinter 2016
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8. Research Lifecycle
»What metadata do you
produce in each phase?
»How do you represent
information about your
research?
»What could make your life
easier (e.g. automation)?
Things to consider
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9. Metadata record exercise
»Fill in “your dataset”
»Where controlled vocabularies
are given, tick or write down
which terms you use.
»Give answers that are typical
to you.
»No right or wrong answers!
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10. Metadata map exercise
»Plan design, collect, capture
»Collate, collaborate, analyse
»Manage, store, preserve
»Share, publish, discover, reuse
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11. Use case exercise
ASA RESEARCHER
IWANTGOOD QUALITY DISCIPLINARY METADATA
SO I CAN REUSEA DATASET
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12. Over to Nicky…
ASA
RESEARCHER
IWANT
GOOD QUALITY
DISCIPLINARY
METADATA
SO I CAN
REUSEA DATASET
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