IGN 4
Tips and Techniques for Working with Ecological Data

Tuesday, August 12, 2014: 10:00 AM-11:30 AM
313, Sacramento Convention Center
Organizer:
Amber Budden, DataONE, University of New Mexico
Co-organizer:
Sandra Chung, NEON, Inc.
Moderator:
Amber Budden, DataONE, University of New Mexico
Although graduate students in Ecology learn about methods for collecting ecological data, there is less emphasis on managing the resulting data effectively. This is an increasingly important skill set; many funding agencies require data management plans, and journals are requiring that data pertaining to published articles be accessible. Ecologists with good data management skills will be able to maximize the productivity of their own research program, effectively and efficiently share their data with the scientific community, and potentially benefit from the re-use of their data by others. This session will give attendees an overview of some techniques for organizing, managing, analysing and sharing their data across all parts of the research cycle. Talks will include insights into good data structure, quality control, data documentation, and the importance of good data management practices for data sharing, collaboration, and data re-use. This session will be complemented by an ignite session focussed on Tools for Working with Ecological Data.
 The data life cycle and best practices overview
Amber Budden, DataONE, University of New Mexico
 Failure to plan is planning to fail
William Michener, University of New Mexico
 How not to collect data: Thoughts for future use and re-use
Stephanie E. Hampton, Washington State University
 Ensuring that your data are high quality
Carly Strasser, University of California Office of the President
 Metadata: The language to describe your data
Viv Hutchison, US Geological Survey
 Data preservation 101
Patricia Cruse, University of California - California Digital Library
 Data citation
Chris Lortie, York University
Cancelled
 Analysing data
Karthik Ram, University of California Berkeley
 A path to data integration
Dave Vieglais, University of Kansas
See more of: Ignite ESA Sessions