Collaborative data maintenance: why is it important?
Collaborative approaches to collecting and stewarding datasets can help to share the costs of data collection and management across public and private sector organisations, supporting the creation of sustainable, trustworthy data infrastructure.
Collaborative data maintenance in practice
There are a number of well-known examples of collaboratively maintained open datasets, including OpenStreetMap, Wikidata, Wikipedia and MusicBrainz.
Each of these projects supports a rich data ecosystem that includes startups, SMEs and larger commercial organisations. There are also a number of smaller sector-specific datasets that are use shared curation and management of data to help maintain important data assets.
In this project we’ll be creating a library of design patterns of the mechanisms used by collaborative platforms to ensure quality and structure. These design patterns will help guide public and private sector organisations to benefit from the approaches.
This work is part of a three-year innovation programme, running to March 2020 with a funding profile of £2m each year from Innovate UK, the UK’s innovation agency.
Through our R&D programme, we aim to shape future services and promote productivity and growth with cutting edge expertise.
Collaborative data maintenance: how can we enable shared curation of high-quality data?
- Data infrastructure
- Data publishing and use
- Open standards and open APIs
- Peer networks
- Search and discovery
- Skills and literacy
- Myriam Roderick