Research Data in Institutional Repository

Preview:

DESCRIPTION

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

Citation preview

November 3, 2010 1

Research Data in Institutional Repository

Gabi WongReference Librarian / IR Coordinator

HKUST Library

November 3, 2010 3

November 3, 2010 4

Dialogue with HKUST

Research Community

• Nano-technology

• Biotechnology

• Electronic and Wireless

• Environment and Sustainable Development

• Management Education and Research

November 3, 2010 5

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

• 6,300 items (November 2010)

• 1st IR in Hong Kong

• Fully open access

November 3, 2010 6

Research Data In IR

Discoverable

Accessible

Usable

Repository

November 3, 2010 7

Research Data VS Research Paper

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

November 3, 2010 8

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

November 3, 2010 9

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 10

? 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!

November 3, 2010 11

2. Diversity

Chiba University Repository

eCommons@Cornell

Monash ARROW Repository

November 3, 2010 12

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

November 3, 2010 13

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

November 3, 2010 14

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 15

? 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!

November 3, 2010 16

3. Use and Re-use

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

November 3, 2010 17

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 18

? 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!

November 3, 2010 19

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 20

November 3, 2010 21

Thank YouGabi Wong; HKUST Library

Recommended