gold, silver, bronze - research data network

Gold, Silver, Bronze Expectations, standards and thresholds and in research data metadata

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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

Creating a scalable data model - meeting researcher requirements with metatdata

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Example - Adapting the model

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Example – controlled development

> 1500 lines of metadata XML for one Archival Information PackageCreating a scalable data model - meeting researcher requirements with metatdata

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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

Metadata user requirementsEvaluating research metadata fields for use

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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 for Winter 2016

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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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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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Metadata map exercise

»Plan design, collect, capture

»Collate, collaborate, analyse

»Manage, store, preserve

»Share, publish, discover, reuse

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Use case exercise

AS A RESEARCHERI WANT GOOD QUALITY DISCIPLINARY METADATA SO I CAN REUSE A DATASET

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Over to Nicky…

AS A RESEARCHERI WANT GOOD QUALITY DISCIPLINARY METADATA SO I CAN REUSE A DATASET