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Harmonization of how data can be sourced, stored and used would, in theory, be good for research.
Software packages such as Alation, Collibra and Informatica offer businesses user-friendly ways to catalog and manage an organization's data such that the right data can be sourced with high confidence and in a consistent manner throughout the organization.
These data can be sourced from a multitude of independent remote sensing instruments and their derived products such as http://www.geo-wiki.org[12], as well as from in situ data (primarily forest inventories) and possibly biophysical ecosystem models.
These data can be sourced from a multitude of independent remote sensing instruments and their derived products such as http://www.geo-wiki.org[ 12], as well as from in situ data (primarily forest inventories) and possibly biophysical ecosystem models.
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Low-quality data can be a source of waste in business operations.
National-level food data, such as FAO's Food Balance Sheets (FBS) and individual level food consumption data, can be useful sources of information for nutrition policy development.
Linked morbidity data can also be sourced from the Commonwealth Department of Health and Ageing Medicare rebate data for approved consultations, procedures and diagnostic services.
These data can often be sourced for use in research.
Chris Blasnek of the Crescenta Valley Sheriff's Station said daily data can be a good source of information but can also be misleading over time.
These data can be a significant source of information, but they are often neglected, both in muscle physiology and in rheological studies of natural or man-made materials.
EHR data can be a valuable source of data for obesity research, although the availability and integrity of different data types can vary substantially.
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