Data Management in Support of Environmental Monitoring, Research, and Coastal Management

2004 ◽  
Vol 10045 ◽  
pp. 9-16 ◽  
Author(s):  
Dwayne E. Porter ◽  
Tammy Small ◽  
David White ◽  
Madilyn Fletcher ◽  
Ashly Norman ◽  
...  
2015 ◽  
Author(s):  
Alvaro Ortiz-Troncoso

Technological developments open up new opportunities for collaboration between biodiversity researchers and the general public. Three exemplary case studies were reviewed from literature: digitizing museum specimens, text-mining archived expedition journals and handling environmental monitoring data. Data management principles were applied to refine the ensuing requirements. Specific requirements were found to exist in three areas: collecting data, sharing data and improving data quality. Implications for data governance and quality control are discussed.


2015 ◽  
Author(s):  
Alvaro Ortiz-Troncoso

Technological developments open up new opportunities for collaboration between biodiversity researchers and the general public. Three exemplary case studies were reviewed from literature: digitizing museum specimens, text-mining archived expedition journals and handling environmental monitoring data. Data management principles were applied to refine the ensuing requirements. Specific requirements were found to exist in three areas: collecting data, sharing data and improving data quality. Implications for data governance and quality control are discussed.


2014 ◽  
Author(s):  
Anne Walls ◽  
Rob O'Brien ◽  
Jim Clarke ◽  
Sofia Pereira Costa ◽  
Shirley Oliveira ◽  
...  

1993 ◽  
Vol 5 (3) ◽  
pp. 237-237
Author(s):  
Drew Clarke

Antarctic science is inter-disciplinary in character, multi-national in execution, and globally relevant. Data management in this environment must be examined from political, scientific and economic perspectives. The Antarctic Treaty calls on parties to exchange and make freely available scientific observations and results from Antarctica, so establishing the political context for addressing data management. The scientific context arises from the increasingly large and complex issues being addressed, including environmental monitoring and global change programmes, while the economic context considers data and information as the primary assets derived from Antarctic expenditure.


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