Call-for-tenders & Companies Synthetic Data

Published: 16 November 2020| Version 1 | DOI: 10.17632/2mpk7tfpxd.1
Sonia Cisneros-Cabrera,
Grigory Pishchulov,
Zixu Liu,
Pedro Sampaio,
Nikolay Mehandijev


This data forms synthetic data reflecting mainstream usage scenarios elicited from practitioners in the manufacturing domain, where real company data is protected by privacy requirements. The created data represents five hypothetical calls-for-tenders (CfTs) and 14 hypothetical companies. Given that the difference between the synthetic data and real data lies only in the content, e.g. a real-world company name of an existing company, an accurate, domain-relevant and privacy-preserving usage can be made.


Steps to reproduce

The data is based on


The University of Manchester


Supply Chain Management, Manufacturing Industry, Applied Computing, Automotive Industry, Aerospace Industry