| Name: | OSH Big Data - design of architecture and possibilities of data extraction from information systems for effective management and raising the level |
| Project ID: | 01-S4-2021-VUBP |
| Project Leader: | Ing. Aneta Živná Kavalierová |
| Grant Provider: | Ministerstvo práce a sociálních věcí |
| Co-Principal investigater: | |
| Project start: | 01/2021 |
| Project end: | 04/2022 |
| Description: | A public portal will be created that will contain an anonymised database of occupational injuries from different perspectives - industry, region, job, cause of injury, etc. By linking this knowledge base and other data sources, we will have a comprehensive data base on occupational injuries and an algorithm will be developed on top of this Big Data to predict the occurrence of injuries and their causes. The created portal will have a public part where everyone will be able to look at the prediction of injury trends in their industry/position/age category etc. At the same time, the portal will contain a non-public part where, after logging in for a specific organisation, the employer will only see his/her reported occupational injuries, their causes and the injury prediction for his/her organisation. The aim is to provide the public with a convenient tool for risk prevention at different levels of detail. |
| Output: | Vsouhrn - Souhrnná výzkumná zpráva 2021W - Workshop Metodika výpočtu nákladů na pracovní úrazy 5.11.2021 2022R - Kalkulátor pro výpočet nákladů a ztrát pracovních úrazů - popis R - Algoritmus pro predikci pracovních úrazů - popis R - Algoritmus pro predikci pracovní úrazovosti - popis |