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Take home message Metadata Standardize data formats Separate data storage and analysis utilities Adaptive software development.

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Presentation on theme: "Take home message Metadata Standardize data formats Separate data storage and analysis utilities Adaptive software development."— Presentation transcript:

1 Take home message Metadata Standardize data formats Separate data storage and analysis utilities Adaptive software development

2 Challenges Broad spatial and temporal requirements Aquatic ecology is an emerging discipline Topic is highly technical BiOp Workflows are in development Professional norms

3 Broad Spatial and Temporal Requirements

4 Ecology as an Emerging Discipline Nadkarni Enhancement of forest canopy research, education, and conservation in the new millennium. Plant Ecology. 153:

5 “Because informatics activity ultimately reflects the science, we concluded that a database cannot become an effective integrative tool until the science itself is integrated. Paradoxically, the science cannot easily become integrated without the use of database tools.” Ecology as Emerging Discipline Nadkarni Enhancement of forest canopy research, education, and conservation in the new millennium. Plant Ecology. 153:

6 Ecology as Emerging Discipline “Our reviews of tools applicable to canopy science discovered a wealth of software tools used in other disciplines for displaying information about complex structures, processes, and datasets, but the best of these were not easily portable to other disciplines.” Nadkarni Enhancement of forest canopy research, education, and conservation in the new millennium. Plant Ecology. 153:

7 Topic is highly technical Habitat condition Population sampling Survival and growth Genetics

8 BiOp Workflows In Development Cartoon from UC RTT Analysis workshop The cartoon shows a blackboard with the equations that describe Einstein's grand unifying theory. The caption was modified to say “RME Simplified”.

9 Professional Norms Ecology is exploratory and independent –Analysis is highly iterative –Trained as independent researchers –Rewarded for innovation Database developers design, then build –Trained within engineering programs –Has worked well for business applications –Rewarded for meeting requirements on time

10 Approaches Dissect into components –Monitoring type –Integration of Monitoring –Historic / future –Requirements / design solutions / implementation Manage for uncertainty –Broaden scope of information to be managed –Metadata-driven –Standardize data formats –Separate storage from analysis Adaptive software development

11 Monitoring Type –Status and Trend –Implementation –Effectiveness Site specific Watershed scale Process oriented or mechanistic Dissect Into Components

12 Integration –High-level discuss –Should not impede progress on other components Dissect Into Components

13 Historic –Summary or reporting metrics –Evaluate cost/benefit ratio for field-level observations (Tetra Tech, 2008) Future –Field-level observations –Standardized format –Full metadata Dissect Into Components

14 Requirements –Scientists, managers, data stewards Design solutions –Developers, programmers, and data stewards –Feedback from scientists and managers Implementation –all Dissect Into Components

15 Manage for Uncertainty Broaden scope of information –Resource management questions –Monitoring program design and evaluation Metadata-driven Applications –Smart tools (lessons from social networking) Standardize data formats Separate data storage and analysis utilities

16 Broaden Scope of Information Resource Management Questions Monitoring Program Design and Evaluation Metadata Field Observations Who When Where How Why

17 >0 and <=1500>60 and <=250>3 and <=90>3 and <=250>60 and <=1000 Metadata-driven Applications

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19 Standardize Data Formats Data Exchange Network Survey Type Specific Metadata Standard

20 Number of Attributes Growth of the Aquatic Resources Schema

21 Separate Data Storage and Analysis Utilities

22 Adaptive Software Development Waterfall approach –Requirements driven –Well defined workflows –Learned in training programs Adaptive approach –Mission focused, risk driven, feature based –Adaptation to emergent state of the project –Deliverable specifications defined broadly –Normal state of affairs

23 Adaptive Software Development

24 Take home message Metadata Standardize data formats Separate data storage and analysis utilities Adaptive software development


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