AutoLabDB: a substantial open source database schema to support a high-throughput automated laboratory

Andrew Charles Sparkes, Amanda Janet Clare

Research output: Contribution to journalArticlepeer-review

9 Citations (SciVal)


Modern automated laboratories need substantial data management solutions to both store and make accessible the details of the experiments they perform. To be useful, a modern Laboratory Information Management System (LIMS) should be flexible and easily extensible to support evolving laboratory requirements, and should be based on the solid foundations of a robust, well-designed database. We have developed such a database schema to support an automated laboratory that performs experiments in systems biology and high-throughput screening.

We describe the design of the database schema (AutoLabDB), detailing the main features and describing why we believe it will be relevant to LIMS manufacturers or custom builders. This database has been developed to support two large automated Robot Scientist systems over the last 5 years, where it has been used as the basis of an LIMS that helps to manage both the laboratory and all the experiment data produced.

Availability and implementation:
The database schema has been made available as open source (BSD license), so that others may use, extend and improve it to meet their own needs. Example software interfaces to the database are also provided.
Original languageEnglish
Pages (from-to)1390-1397
Number of pages8
Issue number10
Publication statusPublished - 29 Jun 2012


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