Open government data platforms - A complex adaptive sociomaterial systems perspective

摘要

In this paper we focus on the emerging phenomenon of Open Government Data Platforms (OGDPs), in particular those that provide open performance data to general public. Governments world-wide continue to implement these platforms, aiming to increase transparency and accountability. However, in spite of their positive intentions, ODGPs that provide performance data (e.g. about schools or hospitals) are reported to create serious harmful social effects. While the related literature has reported numerous cases of these unintended effects, the questions regarding why and how they emerge remain open. This is not surprising, given the complexity and dynamics of processes instigated through the use of ODGPs by a very large number of known and unknowable actors. Through a diffractive reading of complexity theories, in particular Complex Adaptive Systems (CAS) and sociomateriality, in this paper we propose a Complex Adaptive Sociomaterial Systems (CASS) theorization of OGDPs. Drawing from a case of OGDP in Australia called My School, which provides open performance data for more than 10.000 schools, we demonstrate how the proposed theoretical lens of CASS enables us to reveal and explain why and how these platforms perform unintended, yet serious social harm. Given that OGDPs are rapidly emerging around the world, our research opens a pathway for a research-informed public discourse about their harmful effects and responsibilities of different stakeholders.