ANDS and Data Management

ANDSand Data Management Julia Gross

What we’ll coverData managementData intensive researchANDSNew roles for libraries

What is data management?

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 Productexamples…The Human Genome projectHubble telescope dataLinguistics scholars are concentrating on data capture as languages disappear 6

Example: The Hubble Telescope 7 http://archive.stsci.edu/hst/bibliography/pubstat.html

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

BIG picture…trends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)

BIG picture…trends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)

Data visualisation…trends

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’ goalstagline: more Australian researchers reusing research data more often1. influence national policy in data management in the Australian research community2. inform best practice for curation of data3. 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

QUT data support structures

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

by Julia Gross on Dec 02, 2010

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