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# CITATION.cff 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 "lupa" in publications use:'
type: software
license: GPL-3.0-only
title: 'lupa: Data Profiling and Quality Measurement'
version: 0.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.lupa
abstract: Provides general-purpose data profiling and quality analysis for tabular
  data. Discovers structural patterns, implicit types, mixed date formats and reusable
  findings about potential data issues. Defines quality frameworks with user-declared
  dimensions and factors, reusable metrics with explicit granularity, typed aggregation,
  evaluation profiles, versioned histories, structural drift detection, and self-contained
  HyperText Markup Language reports without external rendering software. Produces
  editable cleaning plans and applies only explicitly selected actions while retaining
  an audit log. Includes bounded value distributions, quantiles, mixed-type associations,
  temporal regularity checks, and confirmable measurement-scale proposals. The general
  model follows the data-quality lineage described by Batini and Scannapieco (2016)
  <https://doi.org/10.1007/978-3-319-24106-7>. The package ships a traceable implementation
  of the Data Quality Management Framework for Digital Government, version 1.6, published
  by the Agency for Electronic Government and the Information and Knowledge Society
  (AGESIC) (2020) <https://www.gub.uy/agencia-gobierno-electronico-sociedad-informacion-conocimiento/>,
  and an optional taxonomy of the fifteen characteristics in the International Organization
  for Standardization and International Electrotechnical Commission standard ISO/IEC
  25012:2008 <https://www.iso.org/standard/35736.html>. It also includes the four
  levels and nineteen principles of the United Nations national quality assurance
  framework, adapted for Latin America and the Caribbean by the Statistical Conference
  of the Americas (CEA) of the Economic Commission for Latin America and the Caribbean
  (CEPAL), based on the United Nations manual (2019) <https://unstats.un.org/unsd/methodology/dataquality/>
  and the regional guide (2022) <https://repositorio.cepal.org/handle/11362/47464>.
authors:
- family-names: Lucas
  given-names: Sebastián
  email: sebalucas@gmail.com
  orcid: https://orcid.org/0009-0009-9068-0276
preferred-citation:
  type: manual
  title: 'lupa: Data Profiling and Quality Measurement'
  authors:
  - family-names: Lucas
    given-names: Sebastián
    email: sebalucas@gmail.com
    orcid: https://orcid.org/0009-0009-9068-0276
  year: '2026'
  notes: R package version 0.1.0
repository: https://sebollin.r-universe.dev
repository-code: https://github.com/sebollin/lupa
commit: 8e95a3eccb73ab05042565c1921131d7b0a8d186
url: https://sebollin.github.io/lupa/
date-released: '2026-10-14'
contact:
- family-names: Lucas
  given-names: Sebastián
  email: sebalucas@gmail.com
  orcid: https://orcid.org/0009-0009-9068-0276
references:
- type: report
  title: Marco de trabajo para la Gestión de la Calidad de Datos en Gobierno Digital,
    versión 1.6
  authors:
  - name: AGESIC
  institution:
    name: Presidencia de la República y Facultad de Ingeniería, Universidad de la
      República
    address: Montevideo, Uruguay
  year: '2020'
  url: https://www.gub.uy/agencia-gobierno-electronico-sociedad-informacion-conocimiento/