Data

Tools

Indexes

Applications

Experiments

Open Source Science

datacleanr

R package to prepare data for archive.

https://github.com/ediorg/datacleanr

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

R package to prepare data for archive.

Basic Info
Statistics
  • Stars: 3
  • Watchers: 5
  • Forks: 0
  • Open Issues: 6
  • Releases: 1
Created over 7 years ago · Last pushed about 4 years ago
Metadata Files
Readme Contributing License Code of conduct Codemeta

README.md

Travis-CI Build Status codecov.io DOI

dataCleanr

dataCleanr is designed for addressing common data management tasks encountered when preparing data for archive and reuse. Many of these functions were created by the Environmental Data Initiative's Data Curation Team to accelerate their data curation efficiency, and we welcome contributions from anyone.

Installation

```

Install from GitHub

remotes::install_github("EDIorg/dataCleanr") ```

Usage

Check out example use cases in the dataCleanr website articles

Roadmap

dataCleanr focuses on user friendly high level functions for common data cleaning tasks in preparation for archive. Functionality should be accessible to R beginners.

Contributing

We welcome contributions of all forms including bug reports, feature requests, and new functionality. Please reference our code conduct and contributing guidelines for submitting pull requests.

Testing

Unit tests are implemented with testthat.

Versioning

Versioning for the dataCleanr follows semantic versioning.

Owner

  • Name: Environmental Data Initiative
  • Login: EDIorg
  • Kind: organization
  • Email: info@edirepository.org

Accelerating the archive and reuse of environmental data

CodeMeta (codemeta.json) 

{
  "@context": [
    "https://doi.org/10.5063/schema/codemeta-2.0",
    "http://schema.org"
  ],
  "@type": "SoftwareSourceCode",
  "identifier": "dataCleanr",
  "description": "\n    dataCleanr is designed for addressing common data management tasks \n    encountered when preparing data for archive and reuse. Many of these \n    functions were created by the Environmental Data Initiative's Data \n    Curation Team to accelerate their data curation efficiency, and we \n    welcome contributions from anyone.",
  "name": "dataCleanr: A collection of user friendly data cleaning functions",
  "codeRepository": "https://github.com/EDIorg/dataCleanr",
  "relatedLink": "https://ediorg.github.io/dataCleanr/",
  "issueTracker": "https://github.com/EDIorg/dataCleanr/issues",
  "license": "https://spdx.org/licenses/GPL-2.0",
  "version": "1.0.1",
  "programmingLanguage": {
    "@type": "ComputerLanguage",
    "name": "R",
    "version": "3.6.3",
    "url": "https://r-project.org"
  },
  "runtimePlatform": "R version 3.6.3 (2020-02-29)",
  "author": [
    {
      "@type": "Person",
      "givenName": "Colin",
      "familyName": "Smith",
      "email": "colin.smith@wisc.edu",
      "@id": "https://orcid.org/0000-0003-2261-9931"
    }
  ],
  "contributor": {},
  "copyrightHolder": {},
  "funder": {},
  "maintainer": [
    {
      "@type": "Person",
      "givenName": "Colin",
      "familyName": "Smith",
      "email": "colin.smith@wisc.edu",
      "@id": "https://orcid.org/0000-0003-2261-9931"
    }
  ],
  "softwareSuggestions": [
    {
      "@type": "SoftwareApplication",
      "identifier": "testthat",
      "name": "testthat",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=testthat"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "knitr",
      "name": "knitr",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=knitr"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "rmarkdown",
      "name": "rmarkdown",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=rmarkdown"
    }
  ],
  "softwareRequirements": [
    {
      "@type": "SoftwareApplication",
      "identifier": "stringr",
      "name": "stringr",
      "version": ">= 1.2.0",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=stringr"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "lubridate",
      "name": "lubridate",
      "version": ">= 1.7.4",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=lubridate"
    }
  ],
  "readme": "https://github.com/EDIorg/dataCleanr/blob/master/README.md",
  "fileSize": "76.317KB",
  "contIntegration": [
    "https://travis-ci.org/EDIorg/dataCleanr",
    "https://codecov.io/github/EDIorg/dataCleanr?branch=master"
  ]
}

GitHub Events

Total
Last Year