SELIS platform for pan-European logistics applications datasets

This publication comes as a result of the SELIS H2020 project (http://www.selisproject.eu). The provided datasets are anonymized samples of the real data which describe some of the use cases we have encountered.

In the interest of the Open Research Data Pilot, this publication (https://github.com/selisproject/selis-node-connectors) provides a basic implementation of connectors used in real world applications for supply chain participants to connect and funnel their data to the SELIS Community Node (SCN). The prototype of the SELIS big data analytics and machine learning infrastructure is also openly available (https://github.com/selisproject/bda).

Along with the connectors, obfuscated/test data is also provided for each solution. The connectors all follow the same approach, which is parsing the data provided, transforming them into a SCN-compatible data exchange model and publishing them to the SCN  under a specific configuration. The samples provided cover two use cases:

Adria Kombi Data set: This anonymized data set which includes 24 csv files describes a use case developed for the SELIS project. It involves the (as accurate as possible) estimation of time of arrival (ETA) for individual freight trains using historical data and live feeds.

SONAE Data set: This anonymized data set which includes 2 csv files describes a different use case developed for the same project. This specific use case involves the automatic generation of suggested order forecasts for a retailer (SONAE) given stock level data from different warehouses and information such as lead time (minimum time required from order till delivery) per product and supplier, delivery days etc.

For a more detailed description of the data please refer to the README.md files included in the downloadable zipped directories.