The Data Management Short Course is now CLOSED for applications
DataONE is sponsoring a Data Management Short Course for junior researchers based on content from the DataONE education modules and the Earth Science Information Partners (ESIP) short course materials. The goal of the short course is to encourage data literacy in junior researchers, to pilot the DataONE and ESIP teaching materials in a short course environment and to gain feedback from students on course content. The course will cover all aspects of the data life cycle including data management planning; data collection; quality control and assurance; metadata and data description; data preservation; data discovery, integration and analysis; and publication and citation. The course will be taught by data management professionals and researchers from the Earth and environmental sciences. Instructor names and affiliations can be found below.
Course Dates: May 23rd & 24th
Course Location: National Center for Ecological Analysis and Synthesis, Santa Barbara, CA
Carly Strasser, University of California Digital Library
Nancy Hoebelheinrich, Knowledge Motifs LLC
Heather Henkel, United States Geological Survey
Mark Schildauer, National Center for Ecological Analysis and Synthesis
Viv Hutchison, United States Geological Survey
Amber Budden, DataONE, University of New Mexico
DataONE is currently seeking applications for up to 12 students to participate in this opportunity. DataONE will provide local accommodation May 22nd - 25th (3 nights) and a modest per diem to cover food. Students will be responsible for their own travel arrangements.
Applicants must be currently registered at a US academic or research institution working in the fields of Earth and Environmental Sciences. The course is designed for graduate students however final year undergraduates engaged in research, and early stage postdoctoral scholars will be considered. We seek applicants from a range of disciplinary backgrounds, experience and previous data management training.
How to apply:
Send a cover letter and resume (both in PDF format) to email@example.com by 5pm Pacific Time on
April 14th Wednesday April 18th. Be sure to include the following information in your letter:
- Full contact information
- Current position (undergrad / Masters / PhD / postdoc etc) and course of study
- Current institution
- Statement explaining why you should be considered for this course
- Statement highlighting how you would benefit from the course
- Information on previous experience with data management practices
- Information on any training you have taken in this area
Applications are due by 5pm Pacific Time on April 18th.
Applicants will be informed of the outcome on April 21st.