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Balancing data sharing requirements for analyses with data sensitivity

January 1, 2007

Data sensitivity can pose a formidable barrier to data sharing. Knowledge of species current distributions from data sharing is critical for the creation of watch lists and an early warning/rapid response system and for model generation for the spread of invasive species. We have created an on-line system to synthesize disparate datasets of non-native species locations that includes a mechanism to account for data sensitivity. Data contributors are able to mark their data as sensitive. This data is then 'fuzzed' in mapping applications and downloaded files to quarter-quadrangle grid cells, but the actual locations are available for analyses. We propose that this system overcomes the hurdles to data sharing posed by sensitive data. ?? 2006 Springer Science+Business Media B.V.

Citation Information

Publication Year 2007
Title Balancing data sharing requirements for analyses with data sensitivity
DOI 10.1007/s10530-006-9042-4
Authors C. S. Jarnevich, J.J. Graham, G.J. Newman, A.W. Crall, T.J. Stohlgren
Publication Type Article
Publication Subtype Journal Article
Series Title Biological Invasions
Series Number
Index ID 70030199
Record Source USGS Publications Warehouse
USGS Organization