The eighth episode focuses on digital health and how the messy data in healthcare can be tamed with data standards and vocabularies. It features Dr. Adam Chee - an expert in health informatics with additional backgrounds in public health and business, who is now serving as the head of Smart Health Leadership Centre at the National University of Singapore.  Let's listen to someone who never stops learning and serves as one of a few WHO experts for the area of digital health. Let's get inspired by someone who can recognize the importance of structured data not only in health informatics, but also in clinical research. ...Because it is obvious that having some form of structured data (i.e. HL7, SNOMED-CT, DICOM etc.) is better than data with no structure!

The 7th episode focuses on the EDC systems and their impact on the quality of data. It features Mr. Jaroslav Koca - an experienced clinical data manager with a background in computational biology, who is now affiliated with Cytel as a principal clinical data manager.  Let's listen to some of his experience with electronic data capture systems and also with other tools used not only by data managers but also by investigators and clinical trial coordinators. Let's get inspired by someone who can recognize the importance of clinical data managers and what they can do with the data before giving them to biostatisticians. Why make things easy if you can complicate them? It sounds like a silly question, but everything is possible in a world full of shortcuts!

The sixth episode focuses on the very specific role of a data manager within interdisciplinary communication in clinical research projects. It features Mr. Tomas Machulka who is now affiliated with Premier Research as an associated manager for clinical data sciences. He serves also as a senior consultant for CZECRIN - the Czech part of the European Clinical Research Infrastructure Network.  Let's listen to some of his experience with risk-based quality management and queries. Let's get inspired by someone who is able to recognize the importance of an EDC system in a tech ecosystem used by data managers. Who is telling the truth? Feel free to ask your data manager, who has the role of a criminal detective!

The fifth episode focuses on data integrity and also on data integration in long cohort studies. It features Richard Hulek - a computer scientist with a background in environmental informatics, experienced in the integration of systems behind long cohort studies. Let's listen to his opinions on how computer scientists may contribute to the education of data analysts. Let's learn something new about DBT - a promising transformation data tool and let's not forget SQL - the basic language of data. Be inspired by the concept of exposomics - the systematic determination of links between environment and human health.

The fourth episode focuses on data quality in clinical research, and how it relates to medication adherence. It features Antoine Pironet - a data scientist with a background in biomedical engineering, experienced in analyzing data collected in national registries and data in electronic medical adherence systems. Let's listen to some of his experience with the analysis of medical adherence data. Let's learn about patients' behavior and how they may influence the final results in clinical trials in terms of computed efficacy. Let's get inspired by measuring medication adherence instead of harassing patients.

The third episode focuses on machine learning and artificial intelligence applied on medical data. It features Dr. Alexander Krannich - a biostatistician whose professional carreer includes data-related positions in a clinical trial office at a large university hospital, CROs, pharma corporations, and recently also in a private company focusing on telemedicine. Let's listen to some of his experience with good data managers, who are able to think out of the box, and who care not only about the data, but also about patient's dynamics. Let's get inspired by carefully prepared digital ecosystems which may help in avoiding mistakes. And regarding the quality of data? The same as always: garbage in = garbage out!

The second episode focuses on the people side of data management. Dr. Alexander Schacht, who is also an influencing podcaster within the data science community, describes several extreme cases of bad data management, including unstructured data and poorly designed studies. There are also some promising news about validated R-software for pharma!

Insights into data management applied in medical research from a top scientist. Professor Ivo Provazník is a biomedical engineer, working for Brno University of Technology, running also his own technological startup. Will he convince you that "the data is capital"?