Published April 29, 2015 | Version v1

Data Realities: Citation Equals Funding

Authors/Creators

  • 1. NASA/GSFC

Description

Solar physics has a problem with tracking the impact of solar data's use in scientific literature. Data collected by solar-observing missions is used in many other fields, but we do not have good information about who is using our data. Solar data is useful not only in solar physics, but also general astronomy, planetary, space weather, space physics and earth science.

The sun is the only star that we can see in high detail; solar data is used to erase moonlight from night-time images; coronagraphs have found more comets than night-observing telescopes; space weather affects life on earth, communications, air traffic, and manned space-flight. As our missions' continued funding is justified through use of our data, missing too many of these uses could decrease our future funding or lead to cancellation. As our current methods of finding data use is through human review of the literature, we are much more likely to miss usage in fields outside of solar physics.

To better deal with tracking cross-discipline data usage, a number of groups have come up with guidelines and principles for data citation.[1,2,3] We provide an update on the efforts of multiple groups working on standards to implement both data and software citation.

[1] National Research Council,2012. http://www.nap.edu/catalog.php?record_id=13564

[2] CODATA, 2013. http://dx.doi.org/10.2481/dsj.OSOM13-043

[3] 2014. http://www.force11.org/datacitation

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Additional details

References

  • National Research Council. 2012. For Attribution: Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop. Washington, DC: The National Academies Press. https://doi.org/10.17226/13564
  • Task Group on Data Citation Standards and PractOut of Cite, Out of Mind: The Current Sices, C.-I., 2013. Out of Cite, Out of Mind: The Current State of Practice, Policy, and Technology for the Citation of Data. Data Science Journal, 12, pp.CIDCR1–CIDCR7. DOI: http://doi.org/10.2481/dsj.OSOM13-043
  • Data Citation Synthesis Group: Joint Declaration of Data Citation Principles. Martone M. (ed.) San Diego CA: FORCE11; 2014 [https://www.force11.org/group/joint-declaration-data-citation-principles-final]