클라우드 기반 비식별처리 데이터 제공 플랫폼 구축 방안에 대한 연구(농업분야 빅데이터 중심으로)

Abstract

In the age of the data economy, governments and public institutions are struggling to open up their data, analyze Big data, and create new business models and values. In particular, it has become possible to use non-identifying personal information with the recent revision of the Data 3 Law. In this paper, we summarized the trends of data related to the Data 3 Law revisions, trends of non-identifying technology, trends of cloud technology, and cases of non-identifying measures utilization through exploratory research. In particular, analyzed the current state of Big data in the agricultural field, considered the utilization policy through non-identifying processing, and derived suggestions. And, we proposed a conceptual model for the construction of a hybrid cloud-based non-identification processing data provision platform to provide and utilize non-identification processing data in the agricultural field, and defined and suggested essential considerations in design. Through this study, we expect that the data provided for non-identification of agri-food provided to the outside will be converged with public and private data, leading to the creation of new businesses, which will contribute to the activation of the data economy. We expect consumer-customized agri-food data to have new economic value on their own.