I like this article critiquing ins and out of "Data Governance" Accountability, decision making and execution make it more lively than organizational “governance”, which is somewhat static in comparison. Moreover, the definition of data seems to expand and morph almost weekly, so Data Governance must include the continual discovery of what "Data" is.
The title "Scaling Biotech" begs the question: How is data in biotech scaled? If a square has its dimensions doubled the area quadruples. If the radius of a sphere doubles it's a factor of eight. When biotech scales up, what is the consequence for the amount of data (not cost, or square footage, etc.) ? I suspect that new forms of data also come into existence.
I like this article critiquing ins and out of "Data Governance" Accountability, decision making and execution make it more lively than organizational “governance”, which is somewhat static in comparison. Moreover, the definition of data seems to expand and morph almost weekly, so Data Governance must include the continual discovery of what "Data" is.
The title "Scaling Biotech" begs the question: How is data in biotech scaled? If a square has its dimensions doubled the area quadruples. If the radius of a sphere doubles it's a factor of eight. When biotech scales up, what is the consequence for the amount of data (not cost, or square footage, etc.) ? I suspect that new forms of data also come into existence.