# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "pepr" in publications use:'
type: software
license: BSD-2-Clause
title: 'pepr: Reading Portable Encapsulated Projects'
version: 0.5.0
doi: 10.1093/gigascience/giab077
identifiers:
- type: doi
  value: 10.32614/CRAN.package.pepr
abstract: A PEP, or Portable Encapsulated Project, is a dataset that subscribes to
  the PEP structure for organizing metadata. It is written using a simple YAML + CSV
  format, it is your one-stop solution to metadata management across data analysis
  environments. This package reads this standardized project configuration structure
  into R. Described in Sheffield et al. (2021) <https://doi.org/10.1093/gigascience/giab077>.
authors:
- family-names: Sheffield
  given-names: Nathan
  email: nathan@code.databio.org
- family-names: Stolarczyk
  given-names: Michal
  email: michal@virginia.edu
preferred-citation:
  type: article
  title: Linking big biomedical datasets to modular analysis with Portable Encapsulated
    Projects
  authors:
  - family-names: Sheffield
    given-names: NC
  - family-names: Stolarczyk
    given-names: M
  - family-names: Reuter
    given-names: VP
  - family-names: Rendeiro
    given-names: AF
  doi: 10.1093/gigascience/giab077
  journal: GigaScience
  year: '2021'
repository: https://pepkit.r-universe.dev
repository-code: https://github.com/pepkit/pepr
commit: 150b52dccee40c5c7cc82806b6ef6ae3411c4857
url: https://github.com/pepkit/pepr
date-released: '2023-11-16'
contact:
- family-names: Sheffield
  given-names: Nathan
  email: nathan@code.databio.org