Software Attribution for Geoscience Applications (SAGA)

The SAGA project brings together an interdisciplinary team from the Social, Library, and Computer Sciences to illuminate the technological and cultural barriers to effective software citation. We seek to develop a usable software tool for citation of open source software that completely describes the software environment and attribution for contributions from multiple authors.

Survey

Thanks to the all the researchers who participated in our survey to understand current practices and barriers in software citation. Over 100 scientists completed the survey and/or participated in interviews. Results are currently being analyzed and will be discussed at our upcoming workshop (see below).

Workshop

Software for Science: Getting Credit for Code
Date: October 30, 2015
Location: MultiPurpose Room, Student Community Center, UC Davis, Davis, California
For more information, see: ICIS event

Watch the livestream recording.

Thanks to Jonathan Eisen for Storify'ing the workshop.

#SoftCiteUCD was the #1 trending topic in Sacramento.

Team

Louise Kellogg, PI, CIG, Department of Earth and Planetary Sciences, UC Davis
Joe Dumit, Science and Technology Studies, Anthropology, UC Davis
Jennifer Harbster, UC Davis
Lorraine Hwang, CIG, UC Davis
MacKenzie Smith, University Library, UC Davis
Alison Fish, Indiana University
Laura Soito, University of New Mexico

"If in ten years time we evaluate software by where it is published, we will know that we have failed." Dan Morgan, UC Press

Software Citation

Looking to cite CIG software? Use the attribution builder for citation [abc]

Papers

Hwang, L. J., Fish, A., Soito, L., Smith, M., & Kellogg, L. H. (2017). Software and the scientist: Coding and citation practices in geodynamics. Earth and Space Science, 4, 670–680. https://doi.org/10.1002/2016EA000225

Soito, L. and L.J. Hwang (2016). Providing Identification, Access and Recognition for Research Software, Int. J. Digital Curation, 11, 48-63, doi:10.2218/ijdc.v11i2.390.

Presentations

E.M. Heien, L. Hwang, A.E. Fish, L.Soito, M. Smith, J. Dumit, L.H. Kellogg. Cultural and Technological Issues and Solutions for Geodynamics Software Citation. 2014. Abstract IN23B-3732 presented at 2014 Fall Meeting, AGU, San Francisco, Calif., 15-19 Dec.

E.M. Heien, L. Hwang, A.E. Fish, L.Soito, M. Smith, J. Dumit, L.H. Kellogg. Software Attribution for Geoscience Applications (SAGA). 2015. Presented at 2015 SI2 PI Workshop, Arlington, Virginia, 17-28 Feb. 10.7921/G0NP22CW

L. Hwang, J. Dumit, A. Fish, L. Soito, L.H. Kellogg and M. Smith. Software Attribution for Geoscience Applications in the Computational Infrastructure for Geodynamics. 2015. Abstract IN53B-1846 presented at 2015 Fall Meeting, AGU, San Francisco, Calif., 14-18 Dec.

L. Hwang, J. Dumit, A. Fish, L. Kellogg, M. Smith and L. Soito.Software Attribution for Geoscience Applications in the Computational Infrastructure for Geodynamics, 2015. 3rd Workshop on Sustainable Software for Science: Practice and Experiences, Boulder, CO., 28-29 Sept.

Hwang, L. and L.H. Kellogg (2017). The Computational Infrastructure for Geodynamics: an Example of Software Curation and Citation in the Geodynamics Community, 2017 American Geophysical Union Meeting, New Orleans, Louisiana.

Funding

This project is supported by the U.S. National Science Foundation award number SMA-1448633

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Saga is a narrative or legend of heroic exploits. The word is directly related to the Norse goddess Saga whose name means seeress or omniscience. She and Odin drink everyday from the stream of memory or the Well of Uror.