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- @article{kitchin-2016-autom-data,
- abstract = "In the current scientific publishing landscape, there is a
- need for an authoring workflow that easily integrates data and
- code into manuscripts and that enables the data and code to be
- published in reusable form. Automated embedding of data and
- code into published output will enable superior communication
- and data archiving. In this work, we demonstrate a proof of
- concept for a workflow, org-mode, which successfully provides
- this authoring capability and workflow integration. We
- illustrate this concept in a series of examples for potential
- uses of this workflow. First, we use data on citation counts
- to compute the h-index of an author, and show two code
- examples for calculating the h-index. The source for each
- example is automatically embedded in the PDF during the export
- of the document. We demonstrate how data can be embedded in
- image files, which themselves are embedded in the document.
- Finally, metadata about the embedded files can be
- automatically included in the exported PDF, and accessed by
- computer programs. In our customized export, we embedded
- metadata about the attached files in the PDF in an Info field.
- A computer program could parse this output to get a list of
- embedded files and carry out analyses on them. Authoring tools
- such as Emacs + org-mode can greatly facilitate the
- integration of data and code into technical writing. These
- tools can also automate the embedding of data into document
- formats intended for consumption.",
- author = "Kitchin, John R. and Van Gulick, Ana E. and Zilinski, Lisa D.",
- keywords = {orgmode},
- doi = "10.1007/s00799-016-0173-7",
- issn = "1432-1300",
- journal = "International Journal on Digital Libraries",
- pages = "1--6",
- title = {Automating Data Sharing Through Authoring Tools},
- url = "http://dx.doi.org/10.1007/s00799-016-0173-7",
- year = 2016,
- }
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