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The data.json metadata schema used to harvest datasets from agencies on data.govt.nz (inc. NodeJS conversion tool)
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README.md

data.govt.nz data.json schema

The data.json metadata schema used to harvest datasets from agencies on data.govt.nz

Part of moving to the CKAN data portal is improving our adaoption of international standards that aid in interoperability. One of these is the data.json standard that was put together as part of the US Project Open Data initiaive and has since been adopted by many other countries as a consistent way to express stocktakes of open data at an agency level.

The idea here is to replace the current and dated ATOM/RSS feed standard which is no longer fit for purpose.

The data.json schema:

  • is able to represent individual file level resources for example you might have a csv, kml, shp file of the same data set.
  • is an international standard used by many other government data portals.
  • allows for easy automation of harvesting into the the new CKAN data portal.

data.govt.nz data.json schema

Dataset

data.json field Required? Example value Comments
title Yes "New Zealand Public Sector Websites" A good descriptive title of your dataset.
description Yes "List of websites owned and administered by the New Zealand Public Sector. The Department of Internal Affairs acknowledges this list has been compiled to the best of their knowledge, but it is not a complete list of all Public Sector websites. This list will be updated as the Department becomes aware of required updates." A longer description about the dataset which may include methodology, caveats and other related information to help others use appropriately
identifier Yes For example https://webtoolkit.govt.nz/guidance/domain-names/new-zealand-public-sector-websites/ or f572a794d5aa323824ccbc72f138fc2233b54ad141a00eba A string that identifies the dataset now and in the future, ideally even if the dataset's title changes. If the dataset is already in a data catalogue, supply the URL of the dataset page, or unique catalogue identifier. If it is not catalogued already you can assign it a random hexademical string of 24 digits or more. Ideally the identifier should be globally unique - not just unique to the publisher - so a URI is highly recommended.
license Yes https://creativecommons.org/licenses/by/4.0/ Must be a license URI from those recommended in NZGOAL or empty string if not licensed.
keyword Optional "keyword": {"websites", "open government", "url"} Keywords help to connect related datasets. Each keyword should only include numbers and letters (alphanumeric).
issued Optional 2011-08-26 Date that the data was first published. Formats allowed are: 'YYYY-MM-DD', 'YYYY-MM', 'YYYY' or 'YYYY-MM-DDTHH:MM:SS.mmmmmm' (according to ISO8601)
modified Optional 2015-04-01 Date that the data was most recently updated. Formats allowed are: 'YYYY-MM-DD', 'YYYY-MM', 'YYYY' or 'YYYY-MM-DDTHH:MM:SS.mmmmmm' (according to ISO8601)
publisher Yes "publisher": {"@type": "org:Organization", "name": "Department of Internal Affairs"}, Organization schema. See https://schema.org/Organization. name and email are common values to provide.
contactPoint Yes "contactPoint": {"@type": "vcard:Contact","fn": "Jane Doe","hasEmail": "mailto:jane.doe@agency.gov", "hasPhone": "1234567890"} Contact for the specific dataset in vCard format including full name (fn), email(hasEmail) and optionally, phone (hasPhone) of the contact person.
distribution Yes See "Distribution" table below. Location for accessing/downloading the data files or accessing APIs.
landingPage No https://webtoolkit.govt.nz/guidance/domain-names/new-zealand-public-sector-websites/ URL of a web page specifically about the dataset and includes links to data files and supplimentary information about the dataset.
references No ["https://webtoolkit.govt.nz/guidance/domain-names/new-zealand-public-sector-websites/"]
OR in data.json you can specify more than one reference like a distribution e.g.
[{"url": "", "title": "", "format": ""},{"url": "", "title": "", "format": ""},]. Useful for providing links to data dictionaries and vocabularies.
URL of a web page, PDF or other documentation that gives more information about the dataset. Note: Use landingPage instead for a resource URL if that is more appropriate. Should be an array, to allow multiple references to be specified.
language No ["en"] Language of the data in ISO 639-1 format. Should be an array of values ["en", "mi", ...].
accrualPeriodicity No R/P1Y (=annual)
R/P1W (=weekly)
The frequency at which dataset is published. Format: ISO 8601 Repeating Duration (or irregular) See: https://project-open-data.cio.gov/iso8601_guidance/#accrualperiodicity
temporal No 2000-01-15/2000-01-20 2010-01/2010-03 2010/2010 The date period that the data applies to. Formatted as two ISO 8601 dates (or datetimes) separated by a slash. If the period in question is a whole year or whole month, just put the same value for start and finish - eg 2010/2010 or 2010-06/2010-06.
spatial No {\"type\":\"Polygon\",\"coordinates\":[[[2.072, 49.943],[2.072, 55.816], [-6.236, 55.816], [-6.236, 49.943], [2.072, 49.943]]]} The geographic location that the data applies to. Formatted as a GeoJSON point, bounding box or polygon.
theme No "theme": "Fiscal, tax and economics", or "theme": ["Fiscal, tax and economics", "Health"], The main group(s) in data.govt.nz you would like to classify your dataset under to improve discoverability. Can be a single group or list. See https://catalogue.data.govt.nz/group

Distribution

These are for direct links to downloadable data files or access points for APIs etc.

data.json field Required? Example value Comments
downloadURL Yes, or accessURL (see below) https://webtoolkit.govt.nz/files/PublicSectorWebsites01April2015.csv The direct URL that downloads a file with the data
accessURL No, unless no dowloadURL https://webtoolkit.govt.nz/guidance/domain-names/new-zealand-public-sector-websites/ If there is not a downloadURL to a downloadable file then specify the accessURL. This is the URL of an API or other non-downloadable data location.
title Yes Exposure to second hand smoke A descriptive title of the data resource. 50 - 70 characters preferred (CKAN concatenates long title strings).
description No 'A study from 2015 on the effects of exposure to second hand smoke ...' If you need to describe a particular data file further you can supply a description. 100 - 200 characters preferred.
format No text/csv or csv Mime-types or file extensions.

data.json file structure

The data.json file should be structured as an array "[ ... ]" of dataset objects "{ ... }".

e.g.

    [
     {"title": "Chief Executive Expenses",
      "license": "https://creativecommons.org/licenses/by/4.0/",
      "publisher": {"name": "Publisher Agency", "mbox": "test@test.com"},
      "distribution": [
        {
          "downloadURL": "https://agency.govt.nz/link/to/ce_expenses_2016.csv",
          "title": "Chief Executive Expenses for 2016",
          "format": "csv"
        },
        {
          "downloadURL": "https://agency.govt.nz/link/to/ce_expenses_2015.csv",
          "title": "Chief Executive Expenses for 2015",
          "format": "csv"
        },
        ]
     },
     {"title": "Roadworks locations",
       ...
     }
    ]

Generating a data.json from a CSV file

This GitHub repositoy also contains a small Node.js application to convert a stocktake of open datasets and accompanying files or API endpoints into the correct data.json format for auto harvesting on data.govt.nz.

Populating your CSV

The name of the columns generally references the property names in the data.json schema (see above for the names, descriptions and examples of the metadata to supply. To make filling out your stocktake easier we have made a few additionals to the columns held in the CSV file so you can provide certain metadata in plain English rather than the more technical standards (however if you'd rather hold your stocktake in the ISO standards the conversion tool will respect this).

CSV column dot notation for nested metadata

The converstion tool uses a dot (.) notation to store nested values as they appear in the data.json file. For example:

"publisher": {"name": ""} in the json file would be stored in the CSV file column with the heading publisher.name.

See the example.csv to get an idea of how to prepare this file for conversion.

What to do when a dataset has many related files?

No problem, the CSV format can handle this situation. All the metadata relating to the dataset and files is entered on the same row in the CSV file.

For each individual file or API endpoint you will add a series of columns using the dot notation mentioned above. You will also add a number reference starting at 0 to ensure each column has a unique name (this is important!).

For example, you are required to provide the downloadURL, title and optionally, the format of each dataset file. If you had 2 files relating to your dataset, you would express these in the same row as your dataset metadata using the following headings:

distribution.0.downloadURL,distribution.0.title,distribution.0.format,distribution.1.downloadURL,distribution.2.title,distribution.3.format

If your URL relates to an API endpoint you can replace downloadURL with accessURL (refer to the metadata schema earlier in this document for other properties and values you can make use of).

How to generate your data.json file

Option 1: Run the tool yourself

  1. Install node.js and the npm package manager which you can get at https://nodejs.org/en/download/.
  2. Install git and clone this git repository to your computer.
  3. Using the command line or other tool, run the node install command, this will install any other modules and related dependancies required to run the data.json conversion tool.
  4. Navigate into the root directory of this code and run the following command to perform the conversion: node convert.js --url https://www.YOURAGENCY.govt.nz --file /PATH/TO/FILE/datasets.csv --output /PATH/TO/DIRECTORY
  • --url: your agency website address.
  • --file: the path to your CSV stocktake file.
  • --output: the path to where the resulting data.json will be saved, ensure you include the tailing / on the end of the path.

Option 2: Contact data.govt.nz support

If running a Node tool is not for you, then you can get in touch with the data.govt.nz support team to arrange to run your CSV file through the tool at our end. If your CSV is well maintained and in good order this should not take long and if offered as a free service. If you require some help or a clean up of your CSV stocktake that takes more than an hour we may charge an hourly rate for this additional service (our team will discuss this with you before running the conversion tool).

You can contact data.govt.nz suppport at info@data.govt.nz to arrange this service.

Where to put your data.json file

Ideally this should reside at https://YOURORGANISATION.govt.nz/data.json, however as long as the url is public and conforms to the schema standard, it can be harvested into data.govt.nz.

Once you have this file in place, contact data.govt.nz support team and let them know the location and how often you will likely update this file with new and updated datasets.

Character encoding

The data.json file should have ASCII or UTF-8 character encoding (as per the JSON standard). The harvester now detects this and gives an error if it is not acceptable.

Comparison with USA data.json schema

The NZ data.json format is based on both the Data.gov.uk data.json and the Project Open Data data.json schema used by the U.S. Federal Government. Both are derivatives of the DCAT (data catalog vocabulary) schema standard.

There are a few conscious differences that are listed here for reference:

Field Change Explanation
bureauCode, programCode, primaryITInvestmentUII, systemOfRecords, dataQuality not required They are codes specific to US Federal Government
spatial Formatted with GeoJSON GeoJSON is analagous to GML but preferred. Place name strings are not preferred as they can be ambiguous.
theme The values known group values from data.govt.nz CKAN portal, rather than simply strings. Data.govt.nz has a group taxonomy. Strings related to the data's specific topics can go in the keywords field.

License

See LICENSE.md

Contributing

See CONTRIBUTING.md

Maintainer

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