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Managing data. Why do it?. DATA Data was once an innocuous android instead of a method of judging researchers. What is “managing” data?. Data Accessible? Enough storage? Backed up? Metadata Change history?

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managing data why do it

Managing data. Why do it?


Data was once an innocuous android

instead of a method of judging researchers

what is managing data
What is “managing” data?
  • Data
    • Accessible?
    • Enough storage?
    • Backed up?
  • Metadata
    • Change history?
    • Link to research proposal/experimental design/analysis tools/published papers/...?
    • Will it be needed for 5, 10, 20 years/lawsuits?
i already know how to do it
I already know how to do it

Yes, but.. have you considered moving:

  • From the desktop to the (semantic!) web
  • From small-scale to continental-scale
  • From disciplinary to multi-disciplinary
  • From a private collection to a public library
  • From unfunded to funded
  • From the academic realm to popular science
in other words data sharing
In other words.. data sharing

Data sharing matters even if you do not share

  • We all use shared data to some degree
  • Data sharing is de rigueur in some disciplines
  • Data sharing is legally required in some cases
  • Data sharing is necessary for open science
  • Data sharing is a minimum for collaborations
benefits of data sharing
Benefits of data sharing

Public benefits

  • New research: new results from data reuse
  • Reproducibility: access to provenance info
  • Economies of scale: fund projects ones

Private benefits

  • Prestige: promote one’s work in new ways
  • Career dev: count data as research output
  • Efficiency: division of labour, streamline research
this requires changes to how data is managed
This requires changes to how data is managed
  • Data need to be discoverable
  • Data need to be standardised
  • Data need to be put in context
  • Data need to acknowledge contributors
  • Data need to include use conditions
  • Data need to link to other relevant resources
  • (Data need to be peer-reviewed?)
case study
Case study

Environmental acoustics

  • Emerging, inter-disciplinary research
  • Environmental research using sound recordings of the environment
  • Used to monitor, analyse the environment
  • Recordings require sophisticated statistics
  • No existing theory, method, tool or standard
growing pains
Growing pains

Started on a small scale

  • Initially used to monitor individual sites
  • Opportunistic deployment of recorders
  • Ad hoc management of data
  • Closed system, inaccessible data
  • Serves the needs of a small group at QUT
  • Competes with similar efforts elsewhere
a new opportunity
A new opportunity

Became part of the Australian supersite Network

  • Data part of a long-term monitoring program
  • Deploy recorders at continental scale
  • Interest in integrating with other data sources
  • Obligation to publicise and describe data
  • Requires collaboration with partner sites
  • Need for storage capacity and server software
from managing data to eresearch
From managing data to eResearch

Develop better tools for science

  • Two workshops to define data standards
  • Build a dedicated acoustic repository
  • Develop a library of acoustic data tools
  • Embed recordings with environmental data
  • Release data under Creative Commons
  • Release platform as open source

New research opportunities

  • Approached by potential collaborators
  • Partnerships with community groups (research + linkage)
  • Special issue of Ecological Informatics

Raise public profile of image

  • Newspaper articles
  • Radio interviews
  • Documentary

Access to in-kind support

  • Funding of national deployment of equipment
  • Access to existing infrastructure and services