Ross Wilkinson - Data Publication: Australian and Global Policy Developments
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Transcript of Ross Wilkinson - Data Publication: Australian and Global Policy Developments
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Research Data Publishing
International and National Trends
Ross Wilkinson Australian National Data Service Melbourne, November, 2015
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Outline
Trends The research data assets of Australia International trends The challenges for the publication process The opportunity Conclusions
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Some Trends:
Reproducible Science Open Science Open Data Data Citation Data Citation
Bibliometrics
Data Journals Data Repositories Trusted Data
Repositories FAIR Data Funded Fair Data
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What’s going on?
Data is no longer a by-product of research Data is valuable Funders and Government want more from their
research investments So do research institutional leadership
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The Value of Open Data Report The analysis in the report suggests that the value of data in Australia’s public research is at least $1.9 billion per annum and possibly up to $6 billion per annum – at 2012-13 levels of expenditure and activity. The report discusses the implications for Australia including if this value is not realised while recognising potential costs if its value is to be effectively leveraged.
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Australian Research Data Activity Data Policy Capturing data valuable over long periods in Marine,
Astronomy, Earth Sciences, Ecosystems …for a wide range of research purposes
Supporting the storage of data Supporting the management of data Supporting the enhancement of data Building Institutional Research Data Capacity Developing data partnerships with industry?
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Research Data Policy
ARC and NHMRC: Treat data as an asset Department of Environment: Requirement that
data is open, discoverable, and available Department of Education: The Australian Research
Data Infrastructure Strategy provides recommendations for coherent approach to research data and research data infrastructure
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Data is Transformative
Governments are not investing in research data to make life easier for researchers
Investments in research data to enable societal problems to be addressed
This requires data to be in a form that allows a wide variety of use
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Data as a research output – and more
• Funders are seeing research data a publishable output
• They expect data to be managed
• They expect it to be available for industry, education, the public and further research
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Industry Education
Public Research
Data
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AURIN – Urban data infrastructure
How can I increase the value of my suburban property development?
How do I make it more “liveable” to attract more buyers?
Integrate data from developers, local government, state government, federal government, mapping data, roads data, public transport maps….
Apply University of Melbourne developed “walkability” index 12
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How do you develop suburbs that work for residents, developers and local government?
Along the Maribyrnong River, 10 km from Melbourne’s CBD, 128 ha of government land is ripe for redevelopment
It could accommodate 3000 dwellings and offices for 3000 people Planning a sustainable, liveable community integrated into its urban surrounds demands
information on transport, health services, environment, housing prices, recreation facilities and more
This comes from Federal and State government agencies, local councils, utilities and private companies
For Maribyrnong, data and 80 tools to manage it are being made available through the Australian Urban Research Intelligence Network (AURIN) and the Australian National Data Service (ANDS)
New tools—such as employment opportunities and walkability—are being added Similar projects can facilitate development across Australia’s cities and towns
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Data Value
Stronger research More efficient research Stronger partnerships More industry engagment – data as a trust builder
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Australian National Data Service:
To make Australia’s research data assets more valuable for its researchers, research institutions and the nation
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So we need to transform: Data that are:
Unmanaged Disconnected Invisible Single use
To Structured Collections that are: Managed Connected Findable Reusable
so that researchers can easily publish, discover, access and use research data.
Value
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Major Open Data Program Connecting mining data, to
research techniques, to industry exploration
Connecting twitter data to Jakarta map to analytics for managing flooding
Collecting tropical data to institutional strategy
Collecting ancient DNA for forming international partnerships for new results
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Data Opportunities – and threats
Data sharing is great for trust development Data openness challenges traditional business
models Data partners can be anywhere – EU is investing
€1.4B in open data to drive jobs and innovation Research data environment in Australia is world
leading
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Back to some Trends:
Reproducible Science Open Science Open Data Data Citation Data Citation
Bibliometrics
Data Journals Data Repositories Trusted Data
Repositories FAIR Data Funded Fair Data
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From G. Boulton
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Royal Society publishes “Science as an open enterprise” – written by Geoffrey Boulton
Influential in EU/UK
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EU Open Data “Pilot”
1.4B Euros as part of H2020 80% take up
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Data citation Data that is used
should be cited – just as other work is cited
Provides appropriate credit
Enables reproduction
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DataCite provides reliability
Agreed basic information: Creator (Publication year), Title, Publisher, Identifier
Suitably formatted DOI
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Data citation works with.. ORCID – for people Crossref – for papers Fundref – for funders IGSN – for specimens … Can we measure the
value? Bibliometricians arise!
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Connection is key And the connections
should be machine operable
Research is more valuable if it is more connected
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Data Journals
Geoscience Data Journal (Wiley)
Scientific Data (Nature) Journal of Open
Archaeology Data (Ubiquity)
Biodiversity Data Journal (Pensoft)
A means of describing the data – its formation, properties, usage
Enables recognition of a contribution
Enhances usage of the data
Enables “traditional” bibliometrics
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Data Repositories:
Provide: Data storage Metadata storage Data access methods Data management software
But also: Integrated approach to content and metadata Policies, processes, services, and people Overall commitment to the stewardship of digital materials
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Trusted data repositories
Need for reliable data Trusted repositories: Trusted Repositories Audit & Certification (TRAC) -ISO 16363 Data Seal of Approval e.g. Pacific and Regional Archive for
Digital Sources in Endangered Cultures (PARADISEC)
Often required by publishers May be increasingly required (and funded) by
research funders
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FAIR Data – (FORCE 11) To be Findable: (meta)data are assigned a globally unique and eternally persistent identifier. data are described with rich metadata. (meta)data are registered or indexed in a searchable resource. metadata specify the data identifier. To be Accessible: (meta)data are retrievable by their identifier the protocol is open, free, and universally implementable the protocol allows for an authentication and authorization procedure, where necessary. metadata are accessible, even when the data are no longer available.
To be Interoperable: (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation (meta)data use vocabularies that follow FAIR principles. (meta)data include qualified references to other (meta)data. To be Re-usable: meta(data) have a plurality of accurate and relevant attributes. (meta)data are released with a clear and accessible data usage license (meta)data are associated with their provenance. (meta)data meet domain-relevant community standards.
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Funded FAIR data
All of the data that support a research finding should be FAIR
It should be stored in a trusted repository It should be funded
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The Opportunity
Fully integrated publication of all outputs of a scholarly endeavour with rich connection
FAIR data in a trusted repository Fully explorable scholarly journals Researchers get much better exposure of their
research The outcomes are defensible New research and partners become available
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Conclusions
Research data is valuable It should be expected that the data underpinning
findings are available for scrutiny Far greater value is available, especially if it is
findable, accessible, interoperable and reusable This is helped if data is published
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33 This work is licensed under a Creative Commons Attribution 3.0 Australia License
ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy (NCRIS).
Thank you!