Crowdsourcing is often used as a metaphor for open data initiatives with emergent and vaguely defined goals of collaboration rather than specific ones (Brabham, 2013). Open data came increasinly referred to an ecosystem of production rather than accountability. In The New Ambiguity of Open Government, Harlan Yu and David Robinson (2012) note that open data signals a movement toward “politically neutral public sector disclosures that are easy to reuse, even if they have nothing to do with public accountability” (p. 178).

The computational shift of open government data refers to the move from governments fulfilling information requests to automatically releasing data to fulfill a range of more speculative uses. While promises about the Internet (Morozov, 2013b) encouraged this move, so too did notions of open government from previous decades. For example, David Osborne’s notion of “reinventing government” involved hallmarks familiar to open data initiatives: “catalytic” public–private relationships, connecting with communi-ties, and decentralized collaboration (Osborne and Gaebler, 1992)

On the level of municipal governments in particular, the movement from information to data focused on new uses that emphasized collaboration and utility over accountability (Yu and Robinson, 2012), signaling what I term the computational shift of openness.