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

Research Data in Institutional Repository

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Research Data in Institutional Repository. Gabi Wong Reference Librarian / IR Coordinator HKUST Library. Dialogue with HKUST Research Community. HKUST Institutional Repository < http://repository.ust.hk>. 6,300 items (November 2010) 1 st IR in Hong Kong Fully open access. - PowerPoint PPT Presentation

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Page 1: Research Data in Institutional Repository

November 3, 2010 1

Research Data in Institutional Repository

Gabi WongReference Librarian / IR Coordinator

HKUST Library

Page 2: Research Data in Institutional Repository
Page 3: Research Data in Institutional Repository

November 3, 2010 3

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Dialogue with HKUST

Research Community

• Nano-technology

• Biotechnology

• Electronic and Wireless

• Environment and Sustainable Development

• Management Education and Research

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HKUST Institutional Repository< http://repository.ust.hk>

• 6,300 items (November 2010)

• 1st IR in Hong Kong

• Fully open access

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Research Data In IR

Discoverable

Accessible

Usable

Repository

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Research Data VS Research Paper

1. Role in the research process2. Diversity3. Use and Re-use

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1. Role in Research Process

Data• Consumed by research• Transformed during

research• Created by research

Paper• Final product of research• Made for sharing• Usually in definitive version,

publishable format

Stay alive as long as the research is

ongoing

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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?

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? What kind of data does HKUST research generate?

? What are HKUST researchers’ habits in handling data?

? What do they think about data archiving in IR?

We Need to Talk to Them!

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2. Diversity

Chiba University Repository

eCommons@Cornell

Monash ARROW Repository

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Source and Context

• Observational [Queen’s LibQual data ; Historical Poll data]• Experimental• Computational• Downloaded / purchased from sources

• Meaningful for a specific project only• Wider reference value

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How “Raw”?

Grouping Count %

Machine transaction (including printers, scanners, photocopiers, peripherals) 357 46.5Services and policy 146 19.0Wi fi setting for notebook users 83 10.8Software operation 68 8.9PC operation 36 4.7Browser and internet application 23 3.0Campus 16 2.1

Operation system, computer setting, software installation 10 1.3Software awareness 15 2.0Subject and advance database 8 1.0Library catalog 4 0.5

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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

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? What kind of data does HKUST research generate?

? What are HKUST researchers’ habits in handling data?

? What do they think about data archiving in IR?

We Need to Talk to Them!

Page 16: Research Data in Institutional Repository

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3. Use and Re-use

• Verify research findings• Build on for new research• Reference information• Teaching• …

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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?

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? What kind of data does HKUST research generate?

? What are HKUST researchers’ habits in handling data?

? What do they think about data archiving in IR?

We Need to Talk to Them!

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Research Data in Institutional Repository

• More complex than research publications• Policy issues• Technical issues• Metadata schema• Citation standard• Researchers’ perception and attitude• Disciplinary practices

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Thank YouGabi Wong; HKUST Library