LTER GIS Data Management Practices
The LTER GIS Working Group has been an informal group of individuals interested in GIS/Remote Sensing Issues/Data related to LTER Information Management. The group first met at the 2000 All Scientist Meeting at SnowBird. The group has met several times, at special meetings through a combination of Network level funding and cooperative efforts with the San Diego Supercomputing Center.
2007 IM Meeting Report Summary:
Scientific data is without value if it is unreliable or erroneous. Quality assurance (QA) procedures are applied after data has already been collected to provide assessments of data quality, indicating whether the data are of high quality, or contain elements of questionable reliability. Quality control (QC) procedures focus on the data collection and processing steps and minimizing the errors at each level.
Sample Handling, Voucher Specimens, Collections practices
Communication Technology Practices