The Geoscience Paper of the Future: OntoSoft Training
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This presentation was developed to train scientists on best practices for digital scholarship, reproducibility, and data and software sharing. It was developed as part of the NSF EarthCube Initiative and funded under the OntoSoft project. More details about the project can be found at http://www.ontosoft.org/gpf.
A powerpoint version of the slides is available upon request from firstname.lastname@example.org.
These OntoSoft GPF training materials were developed and edited by Yolanda Gil (USC), with contributions from the OntoSoft team including Chris Duffy (PSU), Chris Mattmann (JPL), Scott Pechkam (CU), Ji-Hyun Oh (USC), Varun Ratnakar (USC), Erin Robinson (ESIP). They were significantly improved through input from GPF pioneers Cedric David (JPL), Ibrahim Demir (UI), Bakinam Essawy (UV), Robinson W. Fulweiler (BU), Jon Goodall (UV), Leif Karlstrom (UO), Kyo Lee (JPL), Heath Mills (UH), Suzanne Pierce (UT), Allen Pope (CU), Mimi Tzeng (DISL), Karan Venayagamoorthy (CSU), Sandra Villamizar (UC), and Xuan Yu (UD). Others contributed with feedback on best practices, including Ruth Duerr (NSIDC), James Howison (UT), Matt Jones (UCSB), Lisa Kempler (Matworks), Kerstin Lehnert (LDEO), Matt Meyernick (NCAR), and Greg Wilson (Software Carpentry). These materials were also improved thanks to the many scientists and colleagues that have taken the training and asked hard questions about GPFs.