ANDS and Data Management

ANDS
and Data Management

Julia Gross

What we’ll cover

Data management
Data intensive research
ANDS
New roles for libraries

What sort of data? … examples

Factual records, e.g.
– Textual
– Numerical
– Audio
– Video
– Image

Records needed to validate research
findings

Data new paradigm
 Data is no longer just a by product of research
 May be the starting point of research
 Data is an asset
 A deluge of data
 Why now?
 Some examples…..

Research Data as Research Product
examples…
The Human Genome project
Hubble telescope data
Linguistics scholars are concentrating on
data capture as languages disappear

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Example: The Hubble Telescope

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http://archive.stsci.edu/hst/bibliography/pubstat.html

BIG picture…trends
EResearch
EScience
Research 2.0
Gov 2.0
Open access to data

EResearch
research involving the collection and
manipulation of data….

1. Research collaboration
2. Data management and sharing
3. High-performance computing
4. Visualisation and haptics (eresearchsa)

Government 2.0
– Australia: Declaration of Open Government,
July 2010
– Data being shared…
• ABS open data
• GA (Geoscience Australia) data
– Change to Freedom of Information (FOI)

Open Access
Open access to publicly funded
research
Research funding bodies starting
to demand this
Open access
–Institutional repositories
–Data repositories

Starting point, the Code….
Australian Code for the Responsible
Conduct of Research
– S1 General principles of responsible
research
– S2 Management of research data and
primary materials

The Code = responsibilities

Responsible conduct of research
– proper management of research data
– retention of research data
Retaining research data important
– may be all that remains at the end of the
research project

What is ANDS?

Australian National Data Service

ANDS’ goals
tagline: more Australian researchers reusing
research data more often
1. influence national policy in data
management in the Australian research
community
2. inform best practice for curation of data
3. transform the disparate collections of
research data around Australia into a
cohesive collection of research resources

Australian Research Data Commons Goal

From Data being: To Data being:
• Unmanaged • Managed
• Unconnected • Connected
• Unfindable • Findable
• Not reusable • Reusable
• Collected

To form a nationally significant research
resource

Research Data Australia

Discovery interface
– “Window on the Commons”
Data collections produced by or relevant to
Australian researchers
Makes research data collections visible
You can see what has been done already

ANDS Projects

Seeding the Commons projects

Seeding the Commons projects

Create infrastructure within institutions

– collect and transform metadata about
collections
– publish to Australian Research Data
Commons (ARDC)

Opportunities for researchers
 Enable researchers to publish their data

 Enable the institutions to publicise its
research

 Help build a data commons

ARD Commons Metadata

Data needs to be organised..how?
RIF-CS schema
RIF-CS compliant datasets

Roles for libraries

Contact and outreach to researchers
Awareness raising
Information gathering about available data
Advice on metadata, descriptions, disposal
policy and sustainability
Possible use of institutional repository for
holding descriptions or connecting
publications to data
Training and support

New roles for librarians

data librarian,
metadata librarian
research data librarian
embedded librarian
data manager
research support officer
data scientist
data curator

This project is supported by the Australian National Data Service (ANDS)

ANDS is supported by the Australian Government through the National
Collaborative Research Infrastructure Strategy Program and the Education
Investment Fund (EIF) Super Science Initiative

ANDS and Data Management

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