Showing 7 of total 7 results (show query)
ropensci
frictionless:Read and Write Frictionless Data Packages
Read and write Frictionless Data Packages. A 'Data Package' (<https://specs.frictionlessdata.io/data-package/>) is a simple container format and standard to describe and package a collection of (tabular) data. It is typically used to publish FAIR (<https://www.go-fair.org/fair-principles/>) and open datasets.
Maintained by Peter Desmet. Last updated 6 months ago.
62.3 match 30 stars 9.79 score 55 scripts 6 dependentsdjvanderlaan
datapackage:Creating and Reading Data Packages
Open, read data from and modify Data Packages. Data Packages are an open standard for bundling and describing data sets (<https://datapackage.org>). When data is read from a Data Package care is taken to convert the data as much a possible to R appropriate data types. The package can be extended with plugins for additional data types.
Maintained by Jan van der Laan. Last updated 5 days ago.
11.0 match 2 stars 5.62 scoreropensci
deposits:A universal client for depositing and accessing research data anywhere
A universal client for depositing and accessing research data anywhere. Currently supported services are zenodo and figshare.
Maintained by Mark Padgham. Last updated 6 months ago.
7.2 match 39 stars 6.21 score 8 scripts 2 dependentscole-brokamp
fr:Frictionless Standards
A "tabular-data-resource" (<https://specs.frictionlessdata.io/tabular-data-resource/>) is a simple format to describe a singular tabular data resource such as a CSV file. It includes support both for metadata such as author and title and a schema to describe the data, for example the types of the fields/columns in the data. Create a tabular-data-resource by providing a data.frame and specifying metadata. Write and read tabular-data-resources to and from disk.
Maintained by Cole Brokamp. Last updated 4 months ago.
3.8 match 3 stars 5.28 score 63 scriptsfrictionlessdata
tableschema.r:Table Schema 'Frictionless Data'
Allows to work with 'Table Schema' (<https://specs.frictionlessdata.io/table-schema/>). 'Table Schema' is well suited for use cases around handling and validating tabular data in text formats such as 'csv', but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format. The 'tableschema.r' package can load and validate any table schema descriptor, allow the creation and modification of descriptors, expose methods for reading and streaming data that conforms to a 'Table Schema' via the 'Tabular Data Resource' abstraction.
Maintained by Kleanthis Koupidis. Last updated 2 years ago.
3.1 match 25 stars 5.70 score 101 scriptsecohealthalliance
ohcleandat:One Health Data Cleaning and Quality Checking Package
This package provides useful functions to orchestrate analytics and data cleaning pipelines for One Health projects.
Maintained by Collin Schwantes. Last updated 4 days ago.
3.6 match 1 stars 4.88 score 5 scriptsinbo
movepub:Prepare Movebank Data for Publication
Prepare animal tracking data from 'Movebank' (<https://movebank.org>) for publication in a research repository. With 'movepub' you can document data with metadata following the Data Package standard and transform these to Darwin Core and Ecological Metadata Language ('EML') for publication to the Global Biodiversity Information Facility ('GBIF') and the Ocean Biodiversity Information System ('OBIS').
Maintained by Peter Desmet. Last updated 2 days ago.
3.0 match 3 stars 4.65 score 5 scripts