ROOM: HCCC, Room 5
Long-term monitoring and research projects are essential to identify patterns in wildlife population dynamics, regional and global bio-complexity, natural- and human-induced stressors, and to determine the effectiveness of ecological restoration and management strategies. Successful multi-year wildlife research and environmental monitoring projects are similar, in that each depends upon the availability of reliable and well documented data. Data management is a formal, structured process that promotes data quality, availability and preservation, informed decision making, and data reuse. It is increasingly important to journals and funding organizations that require researchers to make their data publicly available. In this workshop, instructors explain the phases of the data management process and demonstrate data management best practices through interactive case studies. Guidance will be provided relating to the development of a comprehensive, concise, and scalable data management plan essential to meet the needs of an organization and complexity of the project. This workshop is designed to help the scientist and the practitioner to execute effective data management, thereby improving the quality and usability of data necessary to achieve their research needs or long-term monitoring project objectives. This workshop is funded by the Great Lakes Restoration Initiative and is based on the results of interagency collaboration, and academic and other published resources.
Organizers: Robert D. Sutter, CSRA, Alexandria, VA; Enduring Conservation Outcomes, Savannah, GA; Craig J. Palmer, CSRA, Alexandria, VA; Brick Fevold, CSRA, Alexandria, VA; Elizabeth Benjamin, CSRA, Alexandria, VA
Supported by: U.S. Environmental Protection Agency Great Lakes National Program Office