Membership to Copyright Treaties

core

Files Size Format Created Updated License Source
2 51kB csv zip 5 days ago World Intellectual Property Organization
This data provides the details of the membership by states to WIPO administered treaties on the subject matter of copyright, namely: Beijing Treaty on Audiovisual Performances Berne Convention for the Protection of Literary and Artistic Works Brussels Convention Relating to the Distribution of read more
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Data Files

File Description Size Last changed Download
membership-to-copyright-treaties 75kB csv (75kB) , json (173kB)
membership-to-copyright-treaties_zip Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 28kB zip (28kB)

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
Contracting Party 1 string
Treaty 2 string
Signature Date 3 date (%Y-%m-%d)
Instrument Type 4 string
Instrument Date 5 date (%Y-%m-%d)
Entry Into Force Date 6 date (%Y-%m-%d)

This is a preview version. There might be more data in the original version.

Read me

This data provides the details of the membership by states to WIPO administered treaties on the subject matter of copyright, namely:

  • Beijing Treaty on Audiovisual Performances
  • Berne Convention for the Protection of Literary and Artistic Works
  • Brussels Convention Relating to the Distribution of Programme-Carrying Signals Transmitted by Satellite
  • Marrakesh Treaty to Facilitate Access to Published Works for Persons Who Are Blind, Visually Impaired or Otherwise Print Disabled
  • Convention for the Protection of Producers of Phonograms Against Unauthorized Duplication of Their Phonograms
  • WIPO Copyright Treaty
  • WIPO Performances and Phonograms Treaty

Data

The data is taken from the tables found on WIPO’s website, it’s free and can be viewed for each treaty individually from this link.

Note that WIPO administers other intellectual property treaties that cover subject matter outside copyright (e.g. trademarks) which are not included in this data package.

License

These data are made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://www.opendatacommons.org/licenses/pddl/1.0/

Import into your tool

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite")
library("jsonlite")

json_file <- 'https://datahub.io/core/membership-to-copyright-treaties/datapackage.json'
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# get list of all resources:
print(json_data$resources$name)

# print all tabular data(if exists any)
for(i in 1:length(json_data$resources$datahub$type)){
  if(json_data$resources$datahub$type[i]=='derived/csv'){
    path_to_file = json_data$resources$path[i]
    data <- read.csv(url(path_to_file))
    print(data)
  }
}

In order to work with Data Packages in Pandas you need to install the Frictionless Data data package library and the pandas extension:

import datapackage
import pandas as pd

data_url = 'https://datahub.io/core/membership-to-copyright-treaties/datapackage.json'

# to load Data Package into storage
package = datapackage.Package(data_url)

# to load only tabular data
resources = package.resources
for resource in resources:
    if resource.tabular:
        data = pd.read_csv(resource.descriptor['path'])
        print (data)

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('https://datahub.io/core/membership-to-copyright-treaties/datapackage.json')

# get list of all resources:
resources = package.descriptor['resources']
resourceList = [resources[x]['name'] for x in range(0, len(resources))]
print(resourceList)

# print all tabular data(if exists any)
resources = package.resources
for resource in resources:
    if resource.tabular:
        print(resource.read())

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'https://datahub.io/core/membership-to-copyright-treaties/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
;(async () => {
  const dataset = await Dataset.load(path)
  // get list of all resources:
  for (const id in dataset.resources) {
    console.log(dataset.resources[id]._descriptor.name)
  }
  // get all tabular data(if exists any)
  for (const id in dataset.resources) {
    if (dataset.resources[id]._descriptor.format === "csv") {
      const file = dataset.resources[id]
      // Get a raw stream
      const stream = await file.stream()
      // entire file as a buffer (be careful with large files!)
      const buffer = await file.buffer
      // print data
      stream.pipe(process.stdout)
    }
  }
})()
Datapackage.json