How to cite the R package codebook

Arslan, R. C. (2019). How to automatically document data with the codebook package to facilitate data reuse. Advances in Methods and Practices in Psychological Science, 2(2), 169–187.

1.

Arslan RC. How to automatically document data with the codebook package to facilitate data reuse. Adv Methods Pract Psychol Sci. 2019 Jun;2(2):169–87.

@ARTICLE{Arslan2019-tx,
  title     = "How to automatically document data with the codebook package to
               facilitate data reuse",
  author    = "Arslan, Ruben C",
  abstract  = "Data documentation in psychology lags behind not only many other
               disciplines, but also basic standards of usefulness.
               Psychological scientists often prefer to invest the time and
               effort that would be necessary to document existing data well in
               other duties, such as writing and collecting more data.
               Codebooks therefore tend to be unstandardized and stored in
               proprietary formats, and they are rarely properly indexed in
               search engines. This means that rich data sets are sometimes
               used only once---by their creators---and left to disappear into
               oblivion. Even if they can find an existing data set,
               researchers are unlikely to publish analyses based on it if they
               cannot be confident that they understand it well enough. My
               codebook package makes it easier to generate rich metadata in
               human- and machine-readable codebooks. It uses metadata from
               existing sources and automates some tedious tasks, such as
               documenting psychological scales and reliabilities, summarizing
               descriptive statistics, and identifying patterns of missingness.
               The codebook R package and Web app make it possible to generate
               a rich codebook in a few minutes and just three clicks. Over
               time, its use could lead to psychological data becoming
               findable, accessible, interoperable, and reusable, thereby
               reducing research waste and benefiting both its users and the
               scientific community as a whole.",
  journal   = "Adv. Methods Pract. Psychol. Sci.",
  publisher = "SAGE Publications",
  volume    =  2,
  number    =  2,
  pages     = "169--187",
  month     =  jun,
  year      =  2019,
  url       = "http://dx.doi.org/10.1177/2515245919838783",
  language  = "en",
  issn      = "2515-2459, 2515-2467",
  doi       = "10.1177/2515245919838783"
}

TY  - JOUR
AU  - Arslan, Ruben C
AD  - Center for Adaptive Rationality, Max Planck Institute for Human
      Development
TI  - How to automatically document data with the codebook package to facilitate
      data reuse
T2  - Adv. Methods Pract. Psychol. Sci.
VL  - 2
IS  - 2
SP  - 169-187
PY  - 2019
DA  - 2019/6
PB  - SAGE Publications
AB  - Data documentation in psychology lags behind not only many other
      disciplines, but also basic standards of usefulness. Psychological
      scientists often prefer to invest the time and effort that would be
      necessary to document existing data well in other duties, such as writing
      and collecting more data. Codebooks therefore tend to be unstandardized
      and stored in proprietary formats, and they are rarely properly indexed in
      search engines. This means that rich data sets are sometimes used only
      once—by their creators—and left to disappear into oblivion. Even if they
      can find an existing data set, researchers are unlikely to publish
      analyses based on it if they cannot be confident that they understand it
      well enough. My codebook package makes it easier to generate rich metadata
      in human- and machine-readable codebooks. It uses metadata from existing
      sources and automates some tedious tasks, such as documenting
      psychological scales and reliabilities, summarizing descriptive
      statistics, and identifying patterns of missingness. The codebook R
      package and Web app make it possible to generate a rich codebook in a few
      minutes and just three clicks. Over time, its use could lead to
      psychological data becoming findable, accessible, interoperable, and
      reusable, thereby reducing research waste and benefiting both its users
      and the scientific community as a whole.
SN  - 2515-2459
DO  - 10.1177/2515245919838783
UR  - http://dx.doi.org/10.1177/2515245919838783
ER  -