Open government data from a legal perspective: An AI-driven systematic literature review
通过AI驱动的系统性文献综述，结合法律与公共管理文献，梳理了开放政府数据法律的多面性、影响维度及实证研究不足，为政策制定者和研究者提供参考。
While the applicable legal framework is often identified as one of the key factors in the success or failure of open government data (OGD), the concrete impact of ‘OGD law’ on actual practices of OGD is often overlooked or hardly addressed in-depth. This contribution therefore aims to disentangle this legal impact based on an AI-driven systematic literature review combining legal and public administration (PA) publications. First, the review shows that OGD law has many faces and cannot be reduced to one single piece of ‘OGD legislation’. Instead, OGD law covers a wide range of topics, dealing with access to information, re-use of information, and conflicting interests (e.g. privacy or copyright). Secondly, the article identifies three main dimensions that structure the assessment of the impact of OGD law on OGD practices: topics of OGD law, sources of OGD law, and levels of OGD law. Finally, the review shows that there is no clear and univocal evidence to answer the question of what regulatory constellation is successful in fostering OGD practices and what is not, partly due to a lack of available empirical research. At the same time, the literature reveals some promising avenues for future research on OGD law in action.