There are several challenges mentioned in the article. In my opinion, there are 4 main points that should consider to cover those issues, whether organization level or governance level

(1) Recruit skilful professionals
– Big data analyst professionals
– Cybersecurity professionals
– IT professionals

(2)Increasing training program for everyone in work environment
– Those professionals could held workshop and seminar for everybody at least to proper handling data regularly, knowledge in storage, importance of data management
– Particular training in big data handling for clinicians or researchers to gain more skills
– Practice in cybersecurity; data encryption, identification and access authorization control, real-time monitoring, endpoint security

(3)Invest in digital technology, for example
– Software automation tools or knowledge analytics solution powered by AI/Machine learning to handle big data to help in data analysis and interpretation
– System security maintenance such as Big data security tools (IBM Guardium), endpoint security implementation

(4)Conduct proper research methodology with well-designed statistical adjustment to prevent or reduce bias
– Review the literature carefully in order to specify more proper scientific subjects, related dataset variables and sources
– Prioritize in using randomization selection
– Consult the expert for addressing the confounding with several advance statistical techniques
– Use software automated tools, which contain pre-built APIs for a broad data spectrum