Building on (the) Atlas:
Bringing data together to
answer new questions
Dr Andrew Treloar, Director of
Technology
1CC-BY @atreloar
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) through DIICCSRTE
 A collaboration between Monash University, the
Australian National University and CSIRO
 30 staff, funded to mid 2015
 More researchers re-using more data more often
 Data as a first-class object
CC-BY @atreloar 2
ANDS enables transformation of:
Data that are:
Unmanaged
Disconnected
Invisible
Single use
To Structured Collections that are:
Managed
Connected
Findable
Reusable
so that Australian researchers can easily
publish, discover, access and use/re-use research data.
CC-BY @atreloar 3
ANDS Applications Program
 Produce compelling demonstrations of the value
of having data available for re-use that will
 result in data being transformed or integrated across
multiple sources to produce new forms of information that
enable innovative, high-quality research outcomes
 deliver value to a high-profile research champion
 be relevant to a range of government portfolios
 engage with national research capabilities
CC-BY @atreloar 4
Two ALA-related case studies
 Soils to Satellites
 Edgar
5CC-BY @atreloar
Soils to Satellites
Integration of disparate data
TREND & Ausplots ecological data (ÆKOS, CSIRO NSA)
• Plot-based plant community data
• Soil characterisation data - structure, pH ,nutrients, carbon etc
Atlas of Living Australia (spatially represented data)
• Species occurrence and distribution data
• Environmental characteristics
TERN AusCover (biophysical remote sensing data)
• multi-spectral characteristics of site.
TREND genomics data (BPA, SARDI, BGI, BOLD)
• Opaque “blobs” of genomics data including barcode
sequences, Soil Metagenomics data , isotope data
Edgar – tropicaldatahub.org/goto/edgar
 Shows locations where a bird species has been
observed
 Uses this information to calculate and display how
well the climate across Australia suits that species
 Shows an animation of how the suitable climate
for a species may change into the future
 Allows registered users to improve its accuracy by
classifying observations
CC-BY @atreloar 7
Edgar and ALA Biocache
 Edgar relies on ALA data and back-end services
developed by ALA under this project as Biocache
extensions
 Biocache designed to
 aggregate occurrence data from multiple sources
 provide data quality checks and cleaning of the data
 support assertions by the data made by software or people
 provide webservice access to this data to facilitate re-use in other
portals.
 More at ap30-ala.blogspot.com.au/2012/10/final-product-post.html
8CC-BY @atreloar
Building on Atlas
CC-BY
https://secure.flickr.com/photos/istol
9
What made these projects possible?
 Open access to the data
 Licensing that allows re-use
 Co-location of data and tools
 Web services over the data
 Pre-computation where appropriate
 ALA as a unique national resource
10CC-BY @atreloar
Thanks
 Soils to Satellites
 Peter Doherty (PM)
 Prof. Andy Lowe, Adelaide
 project team
 Edgar
 Marianne Brown (PM)
 A/Prof Jeremy Vanderwal,
JCUhttps://www.youtube.com/watch?v=szl61Eerfpo
 Prof Stephen Garnett,
CDUhttps://www.youtube.com/watch?v=g8z2yFDYwHI
 project team
 ALA developers
11CC-BY @atreloar
Questions?
 @atreloar
 https://www.slideshare.net/atreloar/building-on-
the-atlas-of-living-australia/
CC-BY @atreloar 12

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Building on the Atlas (of Living Australia)

  • 1. Building on (the) Atlas: Bringing data together to answer new questions Dr Andrew Treloar, Director of Technology 1CC-BY @atreloar
  • 2. 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) through DIICCSRTE  A collaboration between Monash University, the Australian National University and CSIRO  30 staff, funded to mid 2015  More researchers re-using more data more often  Data as a first-class object CC-BY @atreloar 2
  • 3. ANDS enables transformation of: Data that are: Unmanaged Disconnected Invisible Single use To Structured Collections that are: Managed Connected Findable Reusable so that Australian researchers can easily publish, discover, access and use/re-use research data. CC-BY @atreloar 3
  • 4. ANDS Applications Program  Produce compelling demonstrations of the value of having data available for re-use that will  result in data being transformed or integrated across multiple sources to produce new forms of information that enable innovative, high-quality research outcomes  deliver value to a high-profile research champion  be relevant to a range of government portfolios  engage with national research capabilities CC-BY @atreloar 4
  • 5. Two ALA-related case studies  Soils to Satellites  Edgar 5CC-BY @atreloar
  • 6. Soils to Satellites Integration of disparate data TREND & Ausplots ecological data (ÆKOS, CSIRO NSA) • Plot-based plant community data • Soil characterisation data - structure, pH ,nutrients, carbon etc Atlas of Living Australia (spatially represented data) • Species occurrence and distribution data • Environmental characteristics TERN AusCover (biophysical remote sensing data) • multi-spectral characteristics of site. TREND genomics data (BPA, SARDI, BGI, BOLD) • Opaque “blobs” of genomics data including barcode sequences, Soil Metagenomics data , isotope data
  • 7. Edgar – tropicaldatahub.org/goto/edgar  Shows locations where a bird species has been observed  Uses this information to calculate and display how well the climate across Australia suits that species  Shows an animation of how the suitable climate for a species may change into the future  Allows registered users to improve its accuracy by classifying observations CC-BY @atreloar 7
  • 8. Edgar and ALA Biocache  Edgar relies on ALA data and back-end services developed by ALA under this project as Biocache extensions  Biocache designed to  aggregate occurrence data from multiple sources  provide data quality checks and cleaning of the data  support assertions by the data made by software or people  provide webservice access to this data to facilitate re-use in other portals.  More at ap30-ala.blogspot.com.au/2012/10/final-product-post.html 8CC-BY @atreloar
  • 10. What made these projects possible?  Open access to the data  Licensing that allows re-use  Co-location of data and tools  Web services over the data  Pre-computation where appropriate  ALA as a unique national resource 10CC-BY @atreloar
  • 11. Thanks  Soils to Satellites  Peter Doherty (PM)  Prof. Andy Lowe, Adelaide  project team  Edgar  Marianne Brown (PM)  A/Prof Jeremy Vanderwal, JCUhttps://www.youtube.com/watch?v=szl61Eerfpo  Prof Stephen Garnett, CDUhttps://www.youtube.com/watch?v=g8z2yFDYwHI  project team  ALA developers 11CC-BY @atreloar

Editor's Notes

  • #6: There are 25 of these, but let me talk about two
  • #10: Not this Atlas, obviously, but still elements of standing on shoulders of giants
  • #11: Co-location because the data is getting too big to moveFor the Auscover data, ALA pre-computes the value of each of the AusCover layers at each of the 40M occurrence locations