1 / 24

Take home message

Take home message. Metadata Standardize data formats Separate data storage and analysis utilities Adaptive software development. Broad spatial and temporal requirements Aquatic ecology is an emerging discipline Topic is highly technical BiOp Workflows are in development

valin
Download Presentation

Take home message

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

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

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

  3. Broad Spatial and Temporal Requirements

  4. Ecology as an Emerging Discipline Nadkarni 2001. Enhancement of forest canopy research, education, and conservation in the new millennium. Plant Ecology. 153: 361-367.

  5. Ecology as Emerging Discipline “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.” Nadkarni 2001. Enhancement of forest canopy research, education, and conservation in the new millennium. Plant Ecology. 153: 361-367.

  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 2001. Enhancement of forest canopy research, education, and conservation in the new millennium. Plant Ecology. 153: 361-367.

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

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

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

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

  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 Metadata Field Observations Who When Where How Why Resource Management Questions Monitoring Program Design and Evaluation

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

  18. Metadata-driven Applications

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

  20. Growth of the Aquatic Resources Schema Number of Attributes

  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 • http://en.wikipedia.org/wiki/Adaptive_Software_Development • http://en.wikipedia.org/wiki/Agile_software_development • http://en.wikipedia.org/wiki/Scrum_(development)

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

More Related