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Gold, silver, bronze - research data network

Research data network, September 2016, Dom Fripp, Jisc.

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Gold, silver, bronze - research data network

  1. 1. Gold, Silver, Bronze Expectations, standards and thresholds and in research data metadata 14/09/2016 1
  2. 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 14/09/2016 Creating a scalable data model - meeting researcher requirements with metatdata 2
  3. 3. Example - Adapting the model 14/09/2016 3Creating a scalable data model - meeting researcher requirements with metatdata
  4. 4. Example – controlled development > 1500 lines of metadata XML for one Archival Information Package 14/09/2016 Creating a scalable data model - meeting researcher requirements with metatdata 4
  5. 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
  6. 6. Metadata user requirements Evaluating research metadata fields for use 14/09/2016 6
  7. 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 14/09/2016 Creating a scalable data model - meeting researcher requirements with metatdata 7
  8. 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 14/09/2016 Creating a scalable data model - meeting researcher requirements with metatdata 8
  9. 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! 14/09/2016 Creating a scalable data model - meeting researcher requirements with metatdata 9
  10. 10. Metadata map exercise »Plan design, collect, capture »Collate, collaborate, analyse »Manage, store, preserve »Share, publish, discover, reuse 14/09/2016 Creating a scalable data model - meeting researcher requirements with metatdata 10
  11. 11. Use case exercise ASA RESEARCHER IWANTGOOD QUALITY DISCIPLINARY METADATA SO I CAN REUSEA DATASET 14/09/2016 Creating a scalable data model - meeting researcher requirements with metatdata 11
  12. 12. Over to Nicky… ASA RESEARCHER IWANT GOOD QUALITY DISCIPLINARY METADATA SO I CAN REUSEA DATASET 14/09/2016 Creating a scalable data model - meeting researcher requirements with metatdata 12

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