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https://github.com/dataobservatory-eu/dataset-template

Serverless RDF publishing scaffold for small datasets

https://github.com/dataobservatory-eu/dataset-template

Science Score: 26.0%

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
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    DOI references
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (9.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Serverless RDF publishing scaffold for small datasets

Basic Info
  • Host: GitHub
  • Owner: dataobservatory-eu
  • License: cc0-1.0
  • Language: HTML
  • Default Branch: main
  • Size: 19.5 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 10 months ago · Last pushed 10 months ago
Metadata Files
Readme License

README.md

Dataset Template

dataobservatory CRAN_Status_Badge

Serverless RDF publishing scaffold for small datasets

This repository is a minimal template for publishing small FAIR/Linked Data datasets on the web using only static files (HTML + RDF).\ No server configuration, no database, no triple store — just GitHub Pages, like here: https://dataobservatory-eu.github.io/dataset-template#

What’s inside

  • data.csv — tabular form of the dataset (easy to inspect and edit)
  • dataset.ttl — RDF in Turtle (human-friendly, hand-editable)
  • dataset.nt — RDF in N-Triples (line-oriented, machine-friendly)
  • index.html — human-readable landing page with links and metadata
  • README.md — these instructions

The HTML page includes <link rel="alternate"> tags so RDF-aware clients can automatically discover the Turtle, N-Triples, and JSON-LD files.

How to use

1. Fork this repository

Click the green “Use this template” button on GitHub and create your own copy.

2. Replace the example data

  • Edit data.csv with your own tabular data.
  • Regenerate or replace dataset.ttl, dataset.nt, and dataset.jsonld.

👉 If you use R, you can install the latest released version of dataset from CRAN with:

install.packages("dataset")

To install the development version from GitHub with pak or remotes:

```

install.packages("pak")

pak::pak("dataobservatory-eu/dataset")

install.packages("remotes")

remotes::install_github("dataobservatory-eu/dataset") ```

The From R to RDF vignette will show you how to convert an R data.frame or tibble into an RDF dataset.

👉 If you don’t use R:

  • Replace dataset.ttl with your own RDF.
  • You can hand-edit TTL safely; it’s designed to be human-friendly.
  • Validate your file using the IDLab Turtle Validator.

Example of hand editing:

```
@base https://dataobservatory-eu.github.io/dataset-template# . @prefix xsd: http://www.w3.org/2001/XMLSchema# . @prefix sdmx-dimension: http://purl.org/linked-data/sdmx/2009/dimension# . @prefix sdmx-attribute: http://purl.org/linked-data/sdmx/2009/attribute# . @prefix sdmx-code: http://purl.org/linked-data/sdmx/2009/code# .

http://data.europa.eu/83i/aa/GDP "2354.8"^^xsd:decimal ; sdmx-dimension:refArea https://www.geonames.org/countries/AD/ ; sdmx-dimension:refPeriod "2020"^^xsd:gYear ; sdmx-dimension:freq sdmx-code:freq-A ; sdmx-attribute:unitMeasure https://dd.eionet.europa.eu/vocabularyconcept/eurostat/unit/CP_MEUR ; sdmx-attribute:obsStatus sdmx-code:obsStatus-A . ```

For hand-editing, some basic Turtle knowledge:

  • The prefix contains vocabulary definitions, for example, as country (geopolitical entity) names. If you want to change Andorra to Iceland, you need to change https://www.geonames.org/countries/AD/ to https://www.geonames.org/countries/IS/. Because sdmx-dimension is defined (as you see in the prefix) as the geographical reference area, this will read as observation 1 has the reference area of Andorra (or Iceland).

  • For the correct import/export of numbers, dates, characters, the XML definitions is used, if you have a string saying "music"^^<xsd:string>, you can replace it with another string like "lyrics"^^<xsd:string>.

3. Enable GitHub Pages

This page is now available at https://dataobservatory-eu.github.io/dataset-template/. You would like to see your dataset on your GitHub Page, and you need to do the following.

  • Go to Settings → Pages.
  • Choose main branch, / (root) folder.
  • Save

Your dataset will now be available at: https://USERNAME.github.io/REPO-NAME/

with a base namespace

https://USERNAME.github.io/REPO-NAME#

Do not forget to https://dataobservatory-eu.github.io/dataset-template# with your own repo’s URL when adapting the template in the RDF files, like in the Turtle example above.

4. Change the HTML file

You can edit a HTML file even with a word processor like Word or LibreOffice. If you want to use our template, and you do not want to create a new page, you can open the file

``` <!DOCTYPE html> Your Dataset Title <!-- Link to machine-readable RDF -->

Your Dataset Title

This page provides a human-readable landing page for the example dataset used in the dataset R package.

Each observation has a persistent identifier such as:
https://dataobservatory-eu.github.io/dataset-template#obs1

For example, obs1 corresponds to the first row in data.csv and is also available in RDF serialisations:

```

Developed by Reprex as part of the dataobservatory ecosystem.

We hope this lowers the barrier for researchers to publish semantically enriched, FAIR datasets — even without specialised infrastructure.

Owner

  • Name: dataobservatory.eu
  • Login: dataobservatory-eu
  • Kind: organization

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