Gold, silver, bronze - research data network
12
Gold, Silver, Bronze Expectations, standards and thresholds and in research data metadata 24/06/20 22 1
Transcript of Gold, silver, bronze - research data network
Gold, Silver, Bronze Expectations, standards and thresholds and in research data metadata
02/05/2023
1
02/05/2023 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
Creating a scalable data model - meeting researcher requirements with metatdata
02/05/2023
Creating a scalable data model - meeting researcher requirements with metatdata 3
Example - Adapting the model
02/05/2023 4
Example – controlled development
> 1500 lines of metadata XML for one Archival Information PackageCreating a scalable data model - meeting researcher requirements with metatdata
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
Metadata user requirementsEvaluating research metadata fields for use
02/05/2023
6
02/05/2023
Creating a scalable data model - meeting researcher requirements with metatdata 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 for Winter 2016
02/05/2023
Creating a scalable data model - meeting researcher requirements with metatdata 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
02/05/2023
Creating a scalable data model - meeting researcher requirements with metatdata 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!
02/05/2023
Creating a scalable data model - meeting researcher requirements with metatdata 10
Metadata map exercise
»Plan design, collect, capture
»Collate, collaborate, analyse
»Manage, store, preserve
»Share, publish, discover, reuse
02/05/2023
Creating a scalable data model - meeting researcher requirements with metatdata 11
Use case exercise
AS A RESEARCHERI WANT GOOD QUALITY DISCIPLINARY METADATA SO I CAN REUSE A DATASET
02/05/2023
Creating a scalable data model - meeting researcher requirements with metatdata 12
Over to Nicky…
AS A RESEARCHERI WANT GOOD QUALITY DISCIPLINARY METADATA SO I CAN REUSE A DATASET
