Balancing data sharing requirements for analyses with data sensitivity
Biological Invasions
By: C. S. Jarnevich, J.J. Graham, G.J. Newman, A.W. Crall, and T.J. Stohlgren
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Abstract
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.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Balancing data sharing requirements for analyses with data sensitivity |
| Series title | Biological Invasions |
| DOI | 10.1007/s10530-006-9042-4 |
| Volume | 9 |
| Issue | 5 |
| Year Published | 2007 |
| Language | English |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Biological Invasions |
| First page | 597 |
| Last page | 599 |
| Google Analytic Metrics | Metrics page |