College of Technology Management, National Tsing Hua University, Hsinchu, Taiwan.
Institute of Service Science, National Tsing Hua University, Hsinchu, Taiwan.
Big Data. 2019 Sep;7(3):140-162. doi: 10.1089/big.2018.0176. Epub 2019 Apr 27.
Rapid growth in the availability of behavioral big data (BBD) has outpaced the speed of updates to ethical research codes and regulation of data privacy and human subjects' data collection, storage, and use. The introduction of the European Union's (EU's) General Data Protection Regulation (GDPR) in May 2018 will have far-reaching effects on data scientists and researchers who use BBD, not only in the EU, but around the world. Consequently, many companies are struggling to comply with the Regulation. At the same time, academics interested in research collaborations with companies are finding it more difficult to obtain data. In light of the importance of BBD in both industry and academia, data scientists and behavioral researchers would benefit from a deeper understanding of the GDPR's key concepts, definitions, and principles, especially as they apply to the data science workflow. We identify key GDPR concepts and principles and describe how they can impact the work of data scientists and researchers in this new data privacy regulation era.
行为大数据（BBD）的可用性迅速增长，超过了道德研究规范的更新速度以及数据隐私和人类受试者数据收集、存储和使用的监管速度。2018 年 5 月欧盟（EU）的《通用数据保护条例》（GDPR）的出台将对使用 BBD 的数据科学家和研究人员产生深远的影响，不仅在欧盟，而且在世界各地。因此，许多公司正在努力遵守该法规。与此同时，有兴趣与公司进行研究合作的学术界人士发现，获取数据更加困难。鉴于 BBD 在工业界和学术界的重要性，数据科学家和行为研究人员将受益于对 GDPR 的关键概念、定义和原则的更深入了解，特别是因为它们适用于数据科学工作流程。我们确定了 GDPR 的关键概念和原则，并描述了它们如何在这个新的数据隐私法规时代影响数据科学家和研究人员的工作。
