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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

Hinweis der Redaktion

  1. There are 25 of these, but let me talk about two
  2. Not this Atlas, obviously, but still elements of standing on shoulders of giants
  3. 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