Research Data in Institutional Repository Gabi Wong Reference

Research Data in Institutional Repository Gabi Wong Reference Librarian / IR Coordinator HKUST Library November 3, 2010 1

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• Nanotechnology Dialogue with HKUST Research Community • Biotechnology • Electronic and Wireless • Environment and Sustainable Development • Management Education and Research November 3, 2010 4

HKUST Institutional Repository < http: //repository. ust. hk> • 6, 300 items (November 2010) • 1 st IR in Hong Kong • Fully open access November 3, 2010 5

Research Data In IR Accessible Repository Discoverable Usable November 3, 2010 6

Research Data VS Research Paper 1. Role in the research process 2. Diversity 3. Use and Re-use November 3, 2010 7

1. Role in Research Process Data Paper • Consumed by research • Transformed during research • Created by research • Final product of research • Made for sharing • Usually in definitive version, publishable format Stay alive as long as the research is ongoing November 3, 2010 8

Issues Arising • Versions – updates? Treatment? • Linking data with related papers and research items in IR [U of T Kommos Project; Cornell’s Water Quality Data] • Value beyond published paper? November 3, 2010 9

? What kind of data does HKUST research generate? ! m ? What are HKUST researchers’ habits in e h T handling data? o t k l a T ? What do they think about data archiving in o t d e IR? Ne e W November 3, 2010 10

2. Diversity Chiba University Repository Monash ARROW Repository e. Commons@Cornell November 3, 2010 11

Source and Context • • Observational [Queen’s Lib. Qual data ; Historical Poll data] Experimental Computational Downloaded / purchased from sources • Meaningful for a specific project only • Wider reference value November 3, 2010 12

How “Raw”? Grouping Count % Machine transaction (including printers, scanners, photocopiers, peripherals) 357 46. 5 Services and policy 146 19. 0 Wi fi setting for notebook users 83 10. 8 Software operation 68 8. 9 PC operation 36 4. 7 Browser and internet application 23 3. 0 Campus 16 2. 1 Operation system, computer setting, software installation 10 1. 3 Software awareness 15 2. 0 Subject and advance database 8 1. 0 Library catalog 4 0. 5 November 3, 2010 13

Issues Arising • How and where do we describe them? [U of Edinburgh Datashare; U of Calgary Repository] • Browsing by format? “Type” label? [Cambridge] • The value and feasibility of sharing – who to decide? How? • Policy on archiving raw data and derived data • Personal data • Ownership November 3, 2010 14

? What kind of data does HKUST research generate? ! m ? What are HKUST researchers’ habits in e h T handling data? o t k l a T ? What do they think about data archiving in o t d e IR? Ne e W November 3, 2010 15

3. Use and Re-use • • • Verify research findings Build on for new research Reference information Teaching … November 3, 2010 16

Issues Arising • Usable formats – dataset in JPEG? • Long term accessibility – Lotus 1 -2 -3? • Software support to open, render or visualize data files • Policy on file format and conversion? • How to cite? • Use policy specified by owner? November 3, 2010 17

? What kind of data does HKUST research generate? ! m ? What are HKUST researchers’ habits in e h T handling data? o t k l a T ? What do they think about data archiving in o t d e IR? Ne e W November 3, 2010 18

Research Data in Institutional Repository • • More complex than research publications Policy issues Technical issues Metadata schema Citation standard Researchers’ perception and attitude Disciplinary practices November 3, 2010 19

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Thank You Gabi Wong; HKUST Library November 3, 2010 21