These lectures follow one experiment's data from collision to publication, and ask what "open" and "reproducible" cost in practice.
The first traces how a global grid of computing centres came to store and move more data than any single institution could hold.
The second follows that data as it leaves the collaboration that produced it, through the policies and portals that determine what gets released, to whom, and when.
The third turns to the analysis itself: the tools that let someone who was not in the room verify a result, replicate it, and trust it in turn.
Written from two decades inside high-energy physics computing, the lectures treat openness as an engineering discipline.
