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Nif tdr project webinar mehnert

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Trusted data repositries and the CoreTrustSeal webinar on March 13th 2018 from ANDS-Nectar-RDS where NIF discuss their journey to become a trusted data repository with the CoreTrustSeal. presented by Andrew Mehnert.
Recordings and transcript available from the ANDS website; http://www.ands.org.au/news-and-events/presentations/2018

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Nif tdr project webinar mehnert

  1. 1. NationalTrusted Data Repositories Andrew Mehnert NIF Informatics Fellow Centre for Microscopy, Characterisation and Analysis (CMCA) The University ofWestern Australia * https://www.slideshare.net/OpenAIRE_eu/overview-of-the-data-pilot-and-openaire-tools-elly-dijk-and-marjan-grootveld-openaire-workshop-ghent-nov2015 *
  2. 2. • NIF is a $130 million project that provides state-of-the-art imaging capability of animals, plants, and materials for the Australian research community • NIF imaging equipment such as MRI, PET and CT scanners are capable of producing vast amounts of valuable research data • To maximise research outcomes, data must be  Stored securely  Have its quality verified  Should be accessible to the wider research community WhyTrusted Data Repositories (TDRs)?
  3. 3. • To be able to share data • To preserve the initial investment in collecting the data • To ensure that data remain useful and meaningful into the future • Funding authorities increasingly require continued access to data produced by the projects they fund fund WhyTrusted Data Repositories (TDRs)?* *https://www.coretrustseal.org
  4. 4. • Broad aim: To enhance the quality, durability and reliability of data that is generated by NIF Quality - data captured according to the NIF Agreed Process Durable - data that has guaranteed availability for 10 years Reliable - data that is useful for future researchers, i.e., stored in one or more open data formats and with sufficient evidential metadata • NIF nodes: UWA (project lead), UQ, UNSW, Monash NIF/RDS/ANDSTDR Project Delivering durable, reliable, high-quality image data Scope limited to MRI data but results generalisable
  5. 5. 1. NIF Agreed Process (NAP) to obtain trusted data from NIF instruments 2. Requirements necessary and sufficient for a basic NIF trusted data repository service 3. Exemplar repository services across all four participating nodes 4. Self-assessments against the “CoreTrustworthy Data Repositories Requirements” Key outcomes of theTDR Project
  6. 6. • Lists the requirements that must be satisfied to obtain high- quality data, hereinafter called NIF-certified data, suitable for suitable for ingestion in a NIF trusted data repository service • Repository data must be organised by Project ID • For data to meet the definition of NIF-certified it must:  Have been acquired on a NIF-compliant instrument  Possess NIF-minimal metadata including a cross-reference to the relevant instrument Quality Control (QC) data  Include the native data generated by the instrument in proprietary format, including the acquisition settings/parameters  Include conversions to one or more open data formats NIF Agreed Process (NAP) for acquiring high-quality data Projects Datasets Datafiles
  7. 7. NIF requirements for aTDR service Requirements drawn from the “Core Trustworthy Data Repositories Requirements” • Context requirement (R0) • Continuity of access requirement (R3) • Confidentiality/ethics requirement (R4) • Data integrity and authenticity requirement (R7) • Appraisal requirement (R8) • Documented storage procedures requirement (R9) • Preservation plan requirement (R10) • Data quality requirement (R11) • Workflows requirement (R12) • Data discovery and identification requirement (R13) • Data reuse requirement (R14) • Security requirement (R16) Additional NIF requirements • Project ID requirement • Instrument ID requirement • QC requirement • Authentication requirement • Interoperability requirement • Redeployability requirement • Service requirement
  8. 8. NIFTDR in a nutshell User Dataset • NIF-minimal metadata  PID, Instrument ID  Date and time  Implicit metadata • Native data • Data conversions to one or more open formats Instrument PC • Uploader client TruDat@{UWA, UQ, UNSW, Monash} • Login via AAF • Datasets organised by PID • Dataset  linked to an instrument  NIF-certification flag • Instrument  linked to a QC PID  handle to a record in RDA Projects Datasets Datafiles Research Data Australia • Data + service discovery Instrument record • Unique handle • Instrument description Quality Control (QC) Dataset • QC SOP • QC data NIF-agreed process
  9. 9. TruDat@UWA Projects Datasets Datafiles Based on a docker deployment of MyTardis + extensions
  10. 10. Comparison of all self-assessments against CoreTrustSeal Blue numbers indicate responses showing a variance greater than 1 across the field 0 – Not applicable 1 – The repository has not considered this yet 2 – The repository has a theoretical concept 3 – The repository is in the implementation phase 4 – The guideline has been fully implemented in the repository
  11. 11. Comparison of all self-assessments against CoreTrustSeal Blue numbers indicate responses showing a variance greater than 1 across the field 0 – Not applicable 1 – The repository has not considered this yet 2 – The repository has a theoretical concept 3 – The repository is in the implementation phase 4 – The guideline has been fully implemented in the repository
  12. 12. • Maintenance of existing services for 10 years • Integration of additional instruments • Creation of a project web portal • Planned new national and international service deployments • Refinements and improvements • CoreTrustSeal certification Post-funding
  13. 13. • NIF users and the broader community  Reliable and durable access to data  Improved reliability of research outputs and the provenance associated with it  Making NIF data more FAIR (Findable, Accessible, Interoperable, Reusable – https://www.ands.org.au/working-with-data/the-fair-data-principles)  Easier linkages between publications and data  Stronger research partnerships • NIF  Improved data quality  Improved international reputation  The ability to run multi-centre trials • Research Institutions  Enhanced reputation management  A means by which to comply with the draft code for responsible research  Enhanced ability to engage in multi-centre imaging research projects Benefits of NIFTDR Services
  14. 14. PM and UWA lead: Andrew Mehnert (NIF Informatics Fellow, Centre for Microscopy, Characterisation and Analysis) NIF lead: Graham Galloway (Chief Executive Officer, NIF) UQ lead: Andrew Janke (NIF Informatics Fellow, Centre for Advanced Imaging) UNSW lead: Marco Gruwel (Senior Research Associate, Mark Wainwright Analytical Centre) Monash lead: Wojtek Goscinski (Associate Director, Monash eResearch Centre)

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