Extração de data provenance por meios não-intrusivos para LIMS

Abstract

It is essential for biomedical and lab research software to be trustworthy when it comes to the data that they generate and handle, but in many projects the data reliability is developed from scratch, strongly coupled to the inner workings of the system, and not necessarily following the best practices for creating a healthy audit trail. The concept of data provenance formalizes and structures the information that should be collected, adding to the trust of the research and development that is done with these systems. The goal of this work is the development of a system to automatically generate data provenance information from the usage of workflows in Laboratory Information Management Systems (LIMS), to generate a trusted chain of data. The data extraction should be done in non-intrusive fashion, avoiding impacts in the user experience and in the system’s response time.