Data Engineering
Data engineering works with facilities and wider scientific communities to make the best use of the data they collect and use. Data is a key ingredient driving modern science and as data sizes and data complexities increase, the need for well-engineered data infrastructure to keep data usable and reusable becomes ever more important.
Data Engineering designs and develop tools and services to support the good management of research data so that it can safely be captured, catalogued and stored, and then accessed by scientists for further analysis.
Within the facilities, the data engineering theme has supported projects such as –
- Storing and visualise shot-to-shot diagnostic information from EPAC
- Archiving facilities data and making this data accessible for ISIS and Diamond
The expertise and technologies within this theme cover:
- Data annotation, metadata and ontologies
- Data catalogues and search tools
- Data integration and exchange
- Data integrity and security
- Data repositories
- Data representation and formatting
- Data transformation and aggregation
- Workflow management systems
FAQs
What is the Ada Lovelace Centre?
The Ada Lovelace Centre is a collaborative hub that helps UK science facilities use computing to solve complex research challenges. It brings together experts in data, software, and artificial intelligence to accelerate scientific progress.
What do we offer?
The Ada Lovelace Centre will fund 50% of the cost of a studentship (fees and stipend) with a partner University.
Who can apply?
Any academic belonging to a UK university with the authorisation to supervise PhD students may apply as the university supervisor.
Who can work with the Ada Lovelace Centre?
Researchers, technical professionals, and organisations can engage with the Ada Lovelace Centre by proposing collaborative projects, joining challenge-led initiatives, or exploring shared computing solutions across STFC’s facilities.
