Downloads provided by UsageCounts
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 ontosoft@gmail.com. These OntoSoft 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 pioneer authors 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.
http://www.scientificpaperofthefuture.org
scientific paper of the future, open science, reproducibility
scientific paper of the future, open science, reproducibility
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 22 | |
| downloads | 50 |

Views provided by UsageCounts
Downloads provided by UsageCounts