The Australian Schizophrenia Research Bank (ASRB): An example of eResearch

Henskens, Frans, Carr, Vaughan, Catts, Stan, Jablensky, Assen, Michie, Patricia, Loughland, Carmel, McCabe, Kathryn, Mowry, Bryan, Nasir, Aslam, Pantelis, Christos, Rasser, Paul, Paul, David, Richards, Jacki, Schall, Ulrich and Scott, Rodney (2010). The Australian Schizophrenia Research Bank (ASRB): An example of eResearch. In: H. A. Nasrallah and L. E. DeLisi, Schizophrenia Research. Proceedings of: 2nd Biennial Schizophrenia International Research Conference. 2nd Schizophrenia International Research Society Conference, Florence, Italy, (427-428). 10-14 April 2010. doi:10.1016/j.schres.2010.02.788


Author Henskens, Frans
Carr, Vaughan
Catts, Stan
Jablensky, Assen
Michie, Patricia
Loughland, Carmel
McCabe, Kathryn
Mowry, Bryan
Nasir, Aslam
Pantelis, Christos
Rasser, Paul
Paul, David
Richards, Jacki
Schall, Ulrich
Scott, Rodney
Title of paper The Australian Schizophrenia Research Bank (ASRB): An example of eResearch
Conference name 2nd Schizophrenia International Research Society Conference
Conference location Florence, Italy
Conference dates 10-14 April 2010
Proceedings title Schizophrenia Research. Proceedings of: 2nd Biennial Schizophrenia International Research Conference   Check publisher's open access policy
Journal name Schizophrenia Research   Check publisher's open access policy
Place of Publication Amsterdam, Netherlands
Publisher Elsevier
Publication Year 2010
Sub-type Poster
DOI 10.1016/j.schres.2010.02.788
ISSN 0920-9964
1573-2509
Editor H. A. Nasrallah
L. E. DeLisi
Volume 117
Issue 2-3
Start page 427
End page 428
Total pages 1
Language eng
Formatted Abstract/Summary
Background: The Australian Schizophrenia Research Bank (ASRB) operates to collect, store and distribute linked clinical, cognitive, neuroimaging and genetic data from a large sample of people with schizophrenia and matched healthy controls.

Results: The development of the ASRB central web presence, web site, underlying database management system and tablet-based Clinical Assessment Software system is operational. The ability to use automated processes, where available, to assist in data and image processing would be highly desirable, and provision for these capabilities is being built into the new infrastructure.
Subjects 1701 Psychology
1702 Cognitive Sciences
1109 Neurosciences
Q-Index Code EX
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published April 2010. Presented as Poster 27. Published as Abstract 796.

Document type: Conference Paper
Collections: Non HERDC
School of Medicine Publications
 
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Created: Sun, 29 Aug 2010, 00:01:04 EST