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This paper conceptualises Big Data Crimes as cybercrimes that are linked to the criminal opportunities arising from Big Data. It specifically focuses upon Data Breaches, DDoS (Distributed Denial of Service) attacks and Mass Spam Attacks as examples. By viewing these offences as ‘upstream’ cybercrimes, they can be seen to have ‘massive ‘downstream’ crime effects. Some are currently understood as cybercrimes, whilst others have yet to be fully defined legally or even police coded. Importantly, they are keystone crimes within a cybercrime ecosystem and create a cybercrime supply chain that ultimately imposes significant harms upon society. It is argued that if resources are focused upon resolving these keystone Big Data Crimes to resolve, mitigate and prevent them, then the 'crime data' supply chain will be broken and the ‘upstream’ crimes will not ‘flow’ downstream. This paper complements other works that are part of the interdisciplinary EPSRC funded CRITiCal (Cloud Technologies and Cybercrime) and EMPHASIS (Ransomware) projects.