Publishing open linked data
Give your team a comprehensive grounding in publishing open linked data across four interactive sessions — from open data principles and linked data formats through to CSVw transforms and creating new vocabularies when needed.
- Delivery: Tutor-led (groups only)
- Study hours: 14 hours (4 × 3.5 hr sessions)
- Closed group — up to 18 people; from £10,850
- Available via Government Campus
Publishing open linked data for your team
This closed-group course gives up to 18 participants a comprehensive understanding of the principles and practices involved in publishing open linked data.
Over four interactive sessions, participants explore open data publication, linked data concepts, creating linked data from tabular datasets, and strategies for creating new vocabularies when needed — through discussion, hands-on exercises and practical demonstrations.
Key learning outcomes
Understanding the transformative power of open and linked data.
By completing this course, participants will:
- Comprehend the core principles and benefits of open and linked data.
- Navigate the world of linked data formats and standards with ease.
- Use the CSVw standard to transform tabular datasets into linked data.
- Annotate datasets with existing linked data vocabularies.
- Craft new vocabularies to enhance the linked data community.
- Document, publish, and advocate for the use of open linked datasets.
- Promote data interoperability, accessibility, and reusability.
- Collaborate with the community to push the boundaries of open linked data practices.
What you will learn
Session 1: Publishing open data
- Explore the essence and importance of open data.
- Overcome barriers and fears associated with open data publication.
- Learn about the 5-star guideline for open data publication and the role of licenses.
- Tackle data aggregation challenges.
- Guidance on publishing a 3-star open dataset.
Session 2: Introducing linked data
- Master the principles of linked open data and the five stars of linked open data.
- Transform data from tabular to graph formats.
- Utilise web-based identifiers and markup data with vocabularies like dublin core.
- Discover the role of publication platforms in sharing linked data.
Session 3: Creating linked data
- Apply CSVw standard to convert tabular data into linked data.
- Develop structural and descriptive metadata for linked data.
- Generate URIs and enhance data modeling through virtual columns.
- Explore published data via content negotiation on data publication platforms.
Session 4: Creating vocabularies
- Create new vocabularies for unique data representation needs.
- Engage with communities for vocabulary adoption and standardisation.
- Document and publish vocabularies, considering ethical impacts and data sharing implications.
Book a group with the ODI
This course is tutor-led and available for closed group bookings only (up to 18 people), from £10,850 per group. We can tailor the content to your organisation’s context and needs.
Contact our learning team to discuss dates, pricing and a delivery plan for your team.
Inspired by data pioneers, built for you
At a time when businesses are trying to get value from AI and data it’s more important than ever to understand the landscape, filter out the noise and set a clear direction.
The Open Data Institute is a world-leading research and training institution founded by the creator of the web, Sir Tim Berners-Lee, and AI pioneer Professor Sir Nigel Shadbolt. Our research, training and practical work helps people, companies and governments build data infrastructure that benefits all.
More than 52,000 people worldwide have developed their data literacy using the ODI’s self-guided training.
Created by a team of data specialists and learning designers, our courses will help you and your organisation make better decisions with data.
