Call-for-tenders & Companies Synthetic Data
Published: 16 November 2020| Version 1 | DOI: 10.17632/2mpk7tfpxd.1
Contributors:
, , , , Description
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.
Files
Steps to reproduce
The data is based on http://dx.doi.org/10.17632/44wxbds28t.1
Institutions
The University of Manchester
Categories
Supply Chain Management, Manufacturing Industry, Applied Computing, Automotive Industry, Aerospace Industry