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Storage and sharing of large 3D imaging datasets

Storage and sharing of large 3D imaging datasets
Storage and sharing of large 3D imaging datasets
The scientific and engineering communities are investing in the generation of large voxel datasets. Procedures and standards to record acquisition, sample condition, processing algorithms and imaging parameters are vital to maintain long-term data value. Even when these are conserved, data remains largely inaccessible to the wider community, hindering both business and research exploitation, an issue increasingly recognised by funding bodies. Engaging imaging communities in the use and development of standards-compliant schemas and ontologies is therefore essential. Tools to then conserve significant volumes of 3D data are discussed, including Cloud compute and storage opportunities. Policy and practical issues are considered in relation to institutional and disciplinary repository models for managing and exposing datasets. The real value will become apparent as Semantic technologies become established, at which stage the ever-increasing body of experimental data will provide new opportunities for knowledge discovery within and across disciplines.
Boardman, Richard
5818d677-5732-4e8a-a342-7164dbb10df1
Sinclair, Ian
6005f6c1-f478-434e-a52d-d310c18ade0d
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Reed, Philippa
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Takeda, Kenji
e699e097-4ba9-42bd-8298-a2199e71d061
Frey, Jeremy
ba60c559-c4af-44f1-87e6-ce69819bf23f
Earl, Graeme
724c73ef-c3dd-4e4f-a7f5-0557e81f8326
Boardman, Richard
5818d677-5732-4e8a-a342-7164dbb10df1
Sinclair, Ian
6005f6c1-f478-434e-a52d-d310c18ade0d
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Reed, Philippa
8b79d87f-3288-4167-bcfc-c1de4b93ce17
Takeda, Kenji
e699e097-4ba9-42bd-8298-a2199e71d061
Frey, Jeremy
ba60c559-c4af-44f1-87e6-ce69819bf23f
Earl, Graeme
724c73ef-c3dd-4e4f-a7f5-0557e81f8326

Boardman, Richard, Sinclair, Ian, Cox, Simon, Reed, Philippa, Takeda, Kenji, Frey, Jeremy and Earl, Graeme (2012) Storage and sharing of large 3D imaging datasets. International Conference on 3D Materials Science 2012, United States.

Record type: Conference or Workshop Item (Other)

Abstract

The scientific and engineering communities are investing in the generation of large voxel datasets. Procedures and standards to record acquisition, sample condition, processing algorithms and imaging parameters are vital to maintain long-term data value. Even when these are conserved, data remains largely inaccessible to the wider community, hindering both business and research exploitation, an issue increasingly recognised by funding bodies. Engaging imaging communities in the use and development of standards-compliant schemas and ontologies is therefore essential. Tools to then conserve significant volumes of 3D data are discussed, including Cloud compute and storage opportunities. Policy and practical issues are considered in relation to institutional and disciplinary repository models for managing and exposing datasets. The real value will become apparent as Semantic technologies become established, at which stage the ever-increasing body of experimental data will provide new opportunities for knowledge discovery within and across disciplines.

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More information

Published date: July 2012
Venue - Dates: International Conference on 3D Materials Science 2012, United States, 2012-07-01
Organisations: Engineering Science Unit, Archaeology

Identifiers

Local EPrints ID: 396172
URI: https://eprints.soton.ac.uk/id/eprint/396172
PURE UUID: eb6020ae-752a-4cf2-bfc8-fcf80e97e406
ORCID for Philippa Reed: ORCID iD orcid.org/0000-0002-2258-0347
ORCID for Jeremy Frey: ORCID iD orcid.org/0000-0003-0842-4302
ORCID for Graeme Earl: ORCID iD orcid.org/0000-0001-9077-4605

Catalogue record

Date deposited: 15 Jun 2016 15:52
Last modified: 06 Jun 2018 13:18

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Contributors

Author: Ian Sinclair
Author: Simon Cox
Author: Philippa Reed ORCID iD
Author: Kenji Takeda
Author: Jeremy Frey ORCID iD
Author: Graeme Earl ORCID iD

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