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Balancing data sharing requirements for analyses with data sensitivity

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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.

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Acknowledgements

We would like to thank the U.S. Geological Survey Fort Collins Science Center and Colorado State University Natural Resource Ecology Laboratory for logistical support. We would also like to thank our early users of the website who made us aware of these issues. To all we are grateful.

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Authors and Affiliations

  1. U.S. Geological Survey, Fort Collins Science Center, 2150 Centre Ave Building C, Fort Collins, CO, 80526, USA

    Catherine S. Jarnevich & Thomas J. Stohlgren

  2. Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, 80523, USA

    James J. Graham, Gregory J. Newman & Alycia W. Crall

Authors
  1. Catherine S. Jarnevich
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  2. James J. Graham
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  3. Gregory J. Newman
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  4. Alycia W. Crall
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  5. Thomas J. Stohlgren
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Corresponding author

Correspondence to Catherine S. Jarnevich.

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Jarnevich, C.S., Graham, J.J., Newman, G.J. et al. Balancing data sharing requirements for analyses with data sensitivity. Biol Invasions 9, 597–599 (2007). https://doi.org/10.1007/s10530-006-9042-4

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  • DOI: https://doi.org/10.1007/s10530-006-9042-4

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