Data management: international challenges, national infrastructure, and institutional responses

Data Management: International challenges, National Infrastructure, and Institutional Responses - an Australian Perspective
Dr Andrew Treloar
Director of Technology
Australian National Data Service

International Challenges

Inconvenient data
DOI: 10.1098/rsta.2005.1569

Imprisoneddata
DOI 10.1098/rsta.2006.1793

Invisible data
DOI 10.1098/rsta.2006.1793

Inaccessible data

Incomprehensible data
ands.org.au
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Summary
Not a first class object
Unmanaged
Disconnected
Unfindable
Unreusable

Why re-use data?
Efficiency
Validation
Integrity
Value for money
Self-interest

Astronomy case study
Hubble Space Telescope (HST) operating since 1990
Observations are proposed, and if accepted, data is collected and made available to the proposers – who then write a research paper
Each year around 1,000 proposals are reviewed and approximately 200 are selected, for a total of 20,000 individual observations
Data is stored at the Space Telescope Science Institute and made available after embargo period
There are now more research papers written by “second use” of the research data, than by the use initially proposed
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Source: http://archive.stsci.edu/hst/bibliography/pubstat.html

Cancer micro-array trial case study
Piwowar, et. al., “Sharing Detailed Research Data Is Associated with Increased Citation Rate”
http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000308
Looked at the citation history of cancer microarray clinical trial publications
Found that publicly available data was associated with a 69% increase in citations, independent of journal impact factor, date of publication, and author country of origin
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Alzheimer’s Disease NeuroImaging Initiative
Collaborative effort to find brain biomarkers for Alzheimer’s disease
Key: All brain scans and other data freely available to scientific community without embargo.
Over 3K full downloads and 1M scan downloads by over 400 investigators world-wide
Over 100 publications
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Institut Douglas CC BY-NC-ND
http://www.fnih.org/work/areas/chronic-disease/adni

National Infrastructure
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National approaches
Number of different countries: UK, US, DE, NL
Different environments => different ecosystems
and so some local tradeoffs
But some common themes emerging:
Do the things that only you can do
Be the ‘voice for data’
Prime the pump

Australian National Data Service
An initiative of the Australian Government being conducted as part of the National Collaborative Research Infrastructure Strategy ($A24M) and the Super Science Initiative ($A48M)
A collaboration between Monash University, the Australian National University and CSIRO
Nearly 50staff, funded to mid 2013
More researchers re-using more data more often
Data as a first-class object
ands.org.au
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ANDS is enabling the transformation of:
Data that are:
Unmanaged
Disconnected
Invisible
Single use
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Collections that are:
Managed
Connected
Findable
Reusable
so that Australian researchers can easily discover, access and re-use data

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Defining characteristics of ANDS
Building national services
Engaging with institutions not researchers (mostly)
Working within funding constraints
use, not amount!
Building the Australian Research Data Commons

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ANDS Programs
Frameworks and Capability
Seeding the Commons
Data Capture
Metadata Stores
ARDC Core
Public Sector Data
Applications

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Spending profile

RDA Demo
http://www.google.com/
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Institutional Responses

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Driven by Australian Code for Responsible Conduct of Research
Equivalent of UKRIO’s Code of Practice for Research: Promoting good practice and preventing misconduct
Takes significant time to get accepted
ANDS providing models of good practice
Seeding the Commons
U->M
Data management policy and planning

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Retrospective data description
Different selection mechanisms
Seeding the Commons
U->M
Fixing the past

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Improving internal CRIS systems
Better integration
Moving beyond publications
Better links to data collection descriptions
Seeding the Commons, Metadata Stores
D->C

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Facilitating easier/better capture of data and metadata from selected ‘instruments’
Making the right thing easier
Improving quality of metadata
Data Capture
U->M
S->R
Fixing the future

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Describing institutions research data assets
Series of metadata stores rollouts plus some ancillary activity
Metadata Stores, Seeding the Commons, Data Capture
D->C
I->F

Ongoing Issues
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Country-Institution-Discipline
Who wins?
Who should win?
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Sustainability, sustainability, sustainability…
Institutional activity
National services/resources
Developed software
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Priming the pump, or continuing to pump?
If institutions/researchers/disciplines don’t care, why should the funders?
Role of Government

Questions/Links
ands.org.au
services.ands.org.au
andrew.treloar@ands.org.au
@atreloar
andrew.treloar.net

Data management: international challenges, national infrastructure, and institutional responses

by Andrew Treloar on Apr 01, 2011

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Data management: international challenges, national infrastructure, and institutional responses — Presentation Transcript