introducing australia’s terrestrial ecosystem research network: linking disciplines for better...
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Introducing Australia’s Terrestrial Ecosystem Research Network: linking disciplines for better environmental outcomes.
Nikki Thurgate
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TERN:• Infrastructure and networks to support a coordinated and
collaborative ecosystem science community• Enabling sustained, long-term collection, storage, synthesis and
sharing of ecosystem data• Connecting science with policy and management
TERN: Transforming Australian ecosystem science
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How TERN fits together
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Data framework
• All funded and included data MUST be openly available
• Includes code, models etc. • AEKOS fully semantic searching supported by
ontological model• Structured metadata approach (Australian
and global standards)• Difficulty with older data but valuable
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Data approach
• Includes ‘big data’ from e.g flux and remote sensing communities
Challenges• Provenance• Integration• Cultural change • Competition• Interoperability
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Challenges
Lindenmayer and Likens, Bulletin of the Ecological Society of America. 2012Benchmarking Open Access Science Against Good Science. ‘…..we open the door to a generation of “junk science”….‘…issues of an emerging generation of what we call “parasitic” science….’
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Building a true network
• Coalition of the willing• Stakeholders are part of the process• Build relationships• Build trust• Common goals and questions• Flexibility
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Licensing approach
• Least restrictive approach must be used• Allows for sensitivities• Attribution mandated• Creative commons Australia 3.0• Encourages interactions between data users
and owners
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International challenges
• DataONE e.g uses CC v 0.0• Does not protect anyone outside USA• We can create DOI’s that are unique to each
data set extracted but can create massive attributions (exponential increase with international interoperability)
• Need to build safe environment to encourage partnerships with scientists
• Protection of intellectual property rights
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International challenges
• Semantics!• Resources for international approaches• Bottom-up vs top-down• Sensitive data • Legal entities• Duplication vs Innovation
BUT BENEFITS OUTWAY CHALLENGES