Describing Ocean Data Management Strategies

Figure 3 from the Baker, Chandler ArticleIn their paper published last month in Deep-Sea Research II, Baker and Chandler (2008) describe twelve strategies for managing complex ocean data systems. These strategies are drawn from a number of lessons learned during the development of two successful long-term oceanographic data management research programs: Palmer Station Long-Term Ecological Research program (Palmer LTER) and the United States Joint Global Ocean Flux Study (US JGOFS). In addition, this paper provides detailed descriptions of data management concepts that have evolved over the last few decades in response to the increased need for data integration, synthesis, and interoperability.

Excerpt from article: Data exchange methods, data integration, and metadata standards are all under active development as are the concepts of data federation and data stewardship. Responsible project management must respect the need to develop flexible information systems but also must recognize the necessity for broader frameworks supporting long-term oceanographic research. Ocean Informatics is an information environment that provides such a framework. The field of informatics incorporates a design approach that includes infrastructuring within the context of local and global information environments and thereby supports ongoing maintenance, implementation, and dynamic redesign of information systems that meet both local and global needs. The 12 strategies for information management represent mechanisms that within the framework of local information environments support the processes required to address the complexities of data federation and data stewardship.


Enabling long-term oceanographic research: Changing data practices, information management strategies and informatics. Karen S. Baker and Cynthia L. Chandler. Deep Sea Research Part II: Topical Studies in Oceanography, Volume 55, Issues 18-19, September 2008. Pages 2132-2142. Palmer, Antarctica Long Term Ecological Research.

Link to abstract here: