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Balancing data sharing requirements for analyses with data sensitivity

Biological Invasions

By:
, , , ,
DOI: 10.1007/s10530-006-9042-4

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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.

Additional Publication Details

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
Number of Pages:
3