#spatial data inventories

A. I have one year of specialized experience equivalent to the GS-07 grade level of federal service that includes experience with managing database systems for the long-term maintenance, analysis and dissemination of natural resource-related data sets produced by past and forthcoming inventory and monitoring effects; assisting in designing and developing global positing system (GPS) data dictionaries, spatial data inventories, and cross linkages; developing work plans and schedules, cost estimates, and proposals and/or grants.

B. 2 years of progressively higher level graduate education leading to a master's degree or master's or equivalent graduate degree in Biology, or related field of science underlying ecological research for the Ecologist or biological sciences, agriculture, natural resource management, chemistry, or related disciplines for the Biologist.

4. Select the one response below that best describes how your background meets the specialized experience or education requirements for the Interdisciplinary Inventory & Monitoring Data Manager, GS-11 position. If you leave this question blank, you may be rated ineligible at the GS-11 level.

A. I have one year of specialized experience equivalent to the GS-09 grade level of federal service that includes experience with assisting in the design, development, and management of a database systems for the long-term maintenance, analysis and dissemination of natural resource-related data sets produced by past and forthcoming inventory and monitoring effects; synthesizing a wide range of data types including biological, physical, and bibliographical in both tabular and spatial formats; integrating a variety of GIS and database management software, and modifying and adapting standard software; provide coordination, technical assistance and direct professional and programmatic advice and support to others; participate in professional meetings, workshops and symposia dealing with data management, GIS and related topics to present information; developing work plans and schedules, cost estimates, and proposals and/or grants.

5. Work with end-users to identify and define database needs (e.g. entry, analysis, and display functions, etc.), identify issues (e.g. unclear, incomplete, ambiguous, or contradictory requirements), and communicate with users to resolve such issues.

6. Work effectively within a collaborative team to define and accomplish goals for complex projects.

7. Lead projects that involve a diverse array of people with different levels of authority, experience, and expertise, such as park managers, university researchers, agency representatives, field technicians, students, and volunteers.

8. Explain complex technical concepts, procedures, and/or standards to a wide variety of nontechnical audiences, including co-workers, management, nontechnical work groups, scientists, volunteers, and the public.

9. Provide training or deliver presentations on data management principles or procedures to nontechnical audiences.

10. Build consensus and support from peers, land managers, and upper management for goals, objectives, or procedures.

11. Use generally accepted database and software design principals to lead the development of a database application.

12. Develop database relationships or linkages that connect different databases such as GIS, facilities management, inventory management, species inventory.

13. Lead group discussions on database user requirements and proactively leads the design process by achieving group consensus.

14. Work effectively with park resource managers, scientists, GIS specialists, and cooperating personnel to evaluate legacy data, assure that relevant and useful data are acquired and integrated into the I&M program's databases and that such data complement existing park data systems.

15. Apply data management principles and techniques to manage physical records and archive and secure datasets.

16. Use Microsoft Access, SQL Server, or similar tools to manage, maintain, and update complex relational databases.

17. Use SQL to create complex database queries, views, triggers, functions, and stored procedures.

18. Design user interfaces for data entry, browsing, reporting, or other data manipulation.

19. Design, develop, and implement relational database applications for a multiple, distributed user environment.

20. Prepare database-related documentation, including user guides, developer documentation, and metadata and help files.

21. Select the response that best reflects the number of complex relational databases you have designed or developed using Microsoft Access, SQL Server, or similar tools.

A. Less than 5 B. 5 to 15 C. Greater than 15

For each task in the following group, choose the statement from the list below that best describes your experience and/or training. Darken the oval corresponding to that statement in Section 25 of the Qualifications and Availability Form C. Please select only one letter for each item.

A- I have not had education, training or experience in performing this task. B- I have had education or training in performing the task, but have not yet performed it on the job. C- I have performed this task on the job. My work on this task was monitored closely by a supervisor or senior employee to ensure compliance with proper procedures. D- I have performed this task as a regular part of a job. I have performed it independently and normally without review by a supervisor or senior employee. E- I am considered an expert in performing this task. I have supervised performance of this task or am normally the person who is consulted by other workers to assist them in doing this task because of my expertise.

22. Use GIS software to manipulate data, establish commonality with non-GIS data, or create data.

23. Provide enterprise architecture solutions for data management.

24. Design and develop relational databases in order to maintain, analyze and integrate complex tabular and spatial data for a specific project or application.

25. Develop and present presentations for professional meetings, workshops, conferences and symposia dealing with data management.

26. Provide technical assistance, professional advice, training and support to staff or other entities on data management.

27. Support scientists and other technical staff in addressing study-specific data management and analysis needs and in reporting inventory and monitoring results.

28. Provide technical and data management support for long-term (surveillance) monitoring as well as targeted monitoring conducted under adaptive management (effectiveness monitoring).