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Classifying software citations #2

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bmcfee opened this issue Oct 11, 2014 · 2 comments
Open

Classifying software citations #2

bmcfee opened this issue Oct 11, 2014 · 2 comments

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@bmcfee
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bmcfee commented Oct 11, 2014

The mapping between paper text/citations and software projects will probably be difficult. Here are a few ways I see this going down:

  • Direct citation of software with a proper DOI. This our best case.
  • Citation/footnote of software via url. This is probably more common (depending on field), but also not hard to catch.
  • Citation of a paper related to a project. Some software authors prefer this method, since it maps directly onto their h-index. Downside: these look just like ordinary paper citations. We'll probably need a preliminary web crawl of projects in this category before analyzing paper text.

What else can go wrong? Have other previous studies run into and/or solved these issues already?

@bmcfee
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bmcfee commented Oct 11, 2014

Oh yeah, the worst (detectable) case:

  • Software mentioned in plain text with no url, DOI, or direct attribution.

@rjleveque
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There's a related page at https://github.com/uwescience/citing_software that I started at a PDE software conference last summer that contains some links of possible interest.

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