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Aboriginal identification in mortality and hospital data collections held by the Australian Institute of Heath and Welfare (AIHW) are only considered acceptable for data from Northern Territory, South Australia, Western Australia (WA) and more recently Queensland [ 6, 7].
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Red stars identify online digisondes providing data to GIRO in near-real-time, blue stars denote locations whose retrospective data collections are held in the GIRO archives, and green stars correspond to digisonde installations planned for 2011 2012.
At the end of the data collection JR held de-briefing meetings with each of the co-authors to share preliminary insights.
Germplasm collections held in various national genebanks.
Data were checked for completeness and consistency after each day of data collection by holding a meeting with the data collectors.
Electronic data collection therefore holds potential as an efficient and systematic means of collecting data about health risk factors to assist in the provision of preventive health care for Aboriginal people.
Although herbarium collections hold large quantities of information, the data are often scattered and cannot supply complete spatial coverage.
The data collections did not hold street addresses and as a consequence, our results are derived from modelled data.
Our findings not only confirm the need for improved self-report methodology for future research in socially-sensitive domains but also indicate where the improvements are likely to come from: as chemical validation remains expensive, a more realistic promise for large scale studies and online data collection efforts is held by measures of implicit social cognition.
Results not only confirm the need for improved self-report methodology for future research in socially-sensitive domains but also indicate where the improvements are likely to come from: as chemical validation remains expensive, a more realistic promise for large scale studies and online data collection efforts is held by measures of implicit social cognition.
We did not distinguish between ideas generated during data collection and deeply held ideas.
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