Skip to main content
https://img.shields.io/badge/License-MIT-yellow.svg https://github.com/VIDA-NYU/reference-data-repository/workflows/build/badge.svg https://codecov.io/gh/VIDA-NYU/reference-data-repository/branch/master/graph/badge.svg

About

The Reference Data Repository provides access to reference data sets (e.g., controlled vocabularies, gazetteers, etc.) that are accessible on the Web and that are useful for data cleaning and data profiling tools like openclean and Auctus.

Data Hosting

Individual datasets are hosted by data maintainers on different platforms. The only requirement is that the datasets (or individual dataset versions) are accessible via HTTP GET requests. Information about dataset is maintained in a central index (as a Json file) that is hosted on the Web (see for example the openclean reference data collection).

Datasets and Data Formats

Each dataset has a unique identifier. Different file formats are supported for the datasets, e.g., csv files, Json, SQLIte database files, etc.. Format information for each dataset is stored as part of its entry in the global index.

Datasets are considered tabular (or sets of columns). Users may access only a single column from a dataset (e.g., country_name), multiple columns (e.b., country_name, captial_city) or the full dataset.

Below is an example dataset descriptor.

{
    "id": "encyclopaedia_britannica:us_cities",
    "name": "Cities in the U.S.",
    "description": "Names of cities in the U.S. from the Encyclopaedia Britannica.",
    "url": "https://raw.githubusercontent.com/VIDA-NYU/openclean-reference-data/master/data/us_cities.tsv",
    "checksum": "d361873f13b867805628d7db63987392835114f13da9ead0e11ccff2946631d2",
    "webpage": "https://www.britannica.com/topic/list-of-cities-and-towns-in-the-United-States-2023068",
    "schema": [
        {"id": "city", "name": "City", "description": "City Name", "dtype": "text"},
        {"id": "state", "name": "State", "description": "U.S. State Name", "dtype": "text"}
    ],
    "format": {
        "type": "csv",
        "parameters": {
            "delim": "\t"
        }
    }
}

The full schema for the data repository index content is defined in schema.yaml.

Local Data Repository

Users maintain copies of the datasets for local access. By default, datasets are stored in a subfolder in the user’s cache directory.

Getting Started

Install the package using pip from the GitHub repository:

pip install git+git://github.com:VIDA-NYU/reference-data-repository.git

This repository contains an example notebook that demonstrates the basic features of the package.

The package also includes a simple command line interface refdata that can be used to list contents of the repository index and to interact with the local data store.

Usage: refdata [OPTIONS] COMMAND [ARGS]...

  Command line interface for the Reference Data Repository.

Options:
  --help  Show this message and exit.

Commands:
  checksum  Print file checksum.
  index     Data Repository Index.
      list      List repository index content.
      show      Show dataset descriptor from repository index.
      validate  Validate repository index file.
  store     Local Data Store.
      download  List local store content.
      list      List local store content.
      remove    Remove dataset from local store.
      show      Show descriptor for downloaded dataset.

Metadata

Release files for refdata 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for refdata 0.2.0
File Size Uploaded
refdata-0.2.0.tar.gz 28.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for refdata 0.2.0
File Interpreter ABI Platform
refdata-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 65.7 kB

Release files / refdata-0.2.0.tar.gz

Download URL refdata-0.2.0.tar.gz
Size 28.0 kB
Tags Source
SHA-256 checksum
How to use checksums
28658623267f03ee9de15c91b7beca67fd5b0311bad940925c76f2e762f78c87
BLAKE2b-256 checksum
How to use checksums
40d5c2d62cd075543e364f10f506bb61a56fcfe7ac4728d674d7f50a00c0a611
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.1

Release files / refdata-0.2.0-py3-none-any.whl

Download URL refdata-0.2.0-py3-none-any.whl
Size 37.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
83afc7c351a100a20a2308e4f32ed5a8f0ef417c83c36c2a9967daec572996c7
BLAKE2b-256 checksum
How to use checksums
1d05afe4da72b2e97c4cd667e09a6594efab41f35faa68a98c6afb8ecdbc6bcc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.1

Release history Release notifications | RSS feed

This release

0.2.0 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page