Larønningen Siri, Skog Anna, Engholm Gerda, Ferlay Jacques, Johannesen Tom Børge, Kristiansen Marnar Fríðheim, Knoors Daan, Kønig Simon Mathis, Olafsdottir Elinborg J, Pejicic Sasha, Pettersson David, Skovlund Charlotte Wessel, Storm Hans H, Tian Huidong, Aagnes Bjarte, Miettinen Joonas
Department of Registration, Cancer Registry of Norway, Oslo, Norway.
Cancer Surveillance and Pharmacoepidemiology, Danish Cancer Society Research Center, Copenhagen, Denmark.
Front Oncol. 2023 Aug 8;13:1098342. doi: 10.3389/fonc.2023.1098342. eCollection 2023.
We present our new GDPR-compliant federated analysis programme (nordcan.R), how it is used to compute statistics for the Nordic cancer statistics web platform NORDCAN, and demonstrate that it works also with non-Nordic data.
We chose R and Stata programming languages for writing nordcan.R. Additionally, the internationally used CRG Tools programme by International Agency for Research on Cancer (IARC/WHO) was employed. A formal assessment of (GDPR-compliant) anonymity of all nordcan.R outputs was performed. In order to demonstrate that nordcan.R also works with non-Nordic data, we used data from the Netherlands Cancer Registry.
nordcan.R, publicly available on Github, takes as input cancer and general population data and produces tables of statistics. Each NORDCAN participant runs nordcan.R locally and delivers its results to IARC for publication. According to our anonymity assessment the data can be shared with international organizations, including IARC. nordcan.R incidence results on Norwegian and Dutch data are highly similar to those produced by two other independent methods.
nordcan.R produces accurate cancer statistics where all personal and sensitive data are kept within each cancer registry. In the age of strict data protection policies, we have shown that international collaboration in cancer registry research and statistics reporting is achievable with the federated analysis approach. Undertakings similar to NORDCAN should consider using nordcan.R.
我们展示了我们新的符合通用数据保护条例（GDPR）的联合分析程序（nordcan.R），它如何用于为北欧癌症统计网络平台NORDCAN计算统计数据，并证明它也适用于非北欧数据。
我们选择R和Stata编程语言来编写nordcan.R。此外，还采用了国际癌症研究机构（IARC/世卫组织）国际通用的CRG Tools程序。对所有nordcan.R输出结果（符合GDPR要求）的匿名性进行了正式评估。为了证明nordcan.R也适用于非北欧数据，我们使用了荷兰癌症登记处的数据。
nordcan.R在Github上公开可用，它将癌症和一般人群数据作为输入，并生成统计表格。每个NORDCAN参与者在本地运行nordcan.R，并将结果提交给IARC进行发布。根据我们的匿名性评估，这些数据可以与包括IARC在内的国际组织共享。nordcan.R对挪威和荷兰数据的发病率结果与另外两种独立方法得出的结果高度相似。
nordcan.R在所有个人和敏感数据都保留在每个癌症登记处的情况下，能产生准确的癌症统计数据。在严格的数据保护政策时代，我们已经表明，通过联合分析方法，癌症登记研究和统计报告的国际合作是可以实现的。与NORDCAN类似的项目应该考虑使用nordcan.R。
