빅데이터 활용에 영향을 미치는 개인정보 규제요인과 데이터 결합요인의 탐색

There have been a number of legal & policy studies on the affecting factors of big data utilization, but empiricalresearch on the composition factors of personal information regulation or data combination, which acts as a constraint, hasbeen hardly done due to the lack of relevant statistics. Therefore, this study empirically explores the priority of personalinformation regulation factors and data combination factors that influence big data utilization through Delphi Analysis. As aresult of Delphi analysis, personal information regulation factors include in order of the introduction of pseudonymousinformation, evidence clarity of personal information de-identification, clarity of data combination regulation, clarity ofpersonal information definition, ease of personal information consent, integration of personal information supervisory authority,consistency among personal information protection acts, adequacy punishment intensity in case of violation of law, andproper penalty level when comparing EU GDPR. Next, data combination factors were examined in order of de-identificationof data combination, standardization of combined data, responsibility of data combination, type of data combination institute,data combination experience, and technical value of data combination. These findings provide implications for which policytasks should be prioritized when designing personal information regulations and data combination policies to utilize big data.