哈佛大学Datatags数据分级系统研究及启示

图书馆杂志 ›› 2019, Vol. 38 ›› Issue (8): 17-26.

哈佛大学Datatags数据分级系统研究及启示

杜宇骁龚城伏安娜汪东伟殷沈琴张计龙

出版日期:2019-08-15 发布日期:2019-08-07
作者简介:杜宇骁女，复旦大学图书馆，助理馆员。研究方向：科学数据管理，数据分析。作者贡献：研究思路设计、文献调研、案例分析、论文撰写、论文修改。 E-mail：duyuxiao@fudan.edu.cn 上海 200433 龚城女，复旦大学图书馆，硕士研究生。研究方向：科学数据管理。作者贡献：搜集整理资料、部分论文撰写。上海 200433 伏安娜女，复旦大学图书馆，馆员。研究方向：科学数据管理。作者贡献：文献调研、案例分析。上海 200433 汪东伟复旦大学图书馆，馆员。研究方向：科学数据管理。作者贡献：案例分析、技术支持。上海 200433 殷沈琴女，复旦大学图书馆，副研究馆员。研究方向：科学数据管理。作者贡献：研究思路调整，论文修订。上海 200433 张计龙复旦大学图书馆,副馆长，研究馆员。研究方向：科学数据管理，数据信息化。作者贡献：研究思路设计、论文指导、论文修订。上海 200433

Research on Harvard Datatags System and Its Inspiration for China

Du Yuxiao, Gong Cheng, Fu Anna, Wang Dongwei, Yin Shenqin, Zhang Jilong

Online:2019-08-15 Published:2019-08-07

摘要/Abstract

摘要： 在数据密集型研究范式背景下，科学数据共享中的数据安全问题得到前所未有的重视。
数据分级成为普遍采取的数据安全共享措施之一。通过梳理国内外科学数据分级研究和发展现
状，本文对哈佛大学Datatags数据分级系统进行了研究，全面分析其系统架构原理、数据分级思
路、分级模型和应用案例，以期为我国科学数据安全共享研究和实践提供新思路。

关键词: 科学数据?, 数据共享?, 数据安全?, 数据分级?, 数据标签

Abstract: In the era of data intensive scientific research, countries all around the world attach
unprecedented importance to scientific data management. Data grading has become one of the most popular
methods for secure data sharing. By way of combing the status of the research on scientific data grading
at home and abroad, the paper introduces the Harvard Datatags System, focusing on its theory, grading
workflow, datatags model and application, so as to provide a new way of thinking about the research and
practice of secure scientific data sharing in China

Key words: Scientific data, Data sharing, Data security, Data grading, Datatags

杜宇骁龚城伏安娜汪东伟殷沈琴张计龙. 哈佛大学Datatags数据分级系统研究及启示[J]. 图书馆杂志, 2019, 38(8): 17-26.

Du Yuxiao, Gong Cheng, Fu Anna, Wang Dongwei, Yin Shenqin, Zhang Jilong. Research on Harvard Datatags System and Its Inspiration for China [J]. Libraly Journal, 2019, 38(8): 17-26.

参考文献

[ 1 ] Economic and Social Scientific Council. ScientificData Policy [EB/OL]. [2019-03-31]. https://esrc.ukri.org/funding/guidance-for-grant-holders/scientific-data-policy/.
[ 2 ] National Science Foundation. Disseminationand Sharing of Scientific Results [EB/OL].[2019-03-31]. https://www.nsf.gov/bfa/dias/policy/dmp.jsp.
[ 3 ] Australian Code for the Responsible Conduct ofScientific 2007[EB/OL]. [2019-04-02]. https://www.nhmrc.gov.au/about-us/publications/australiancode-responsible-conduct-scientific-2007.
[ 4 ] The FAIR Guiding Principles for scientificdata management and stewardship [EB/OL].[2019-03-31]. https://www.nature.com/articles/sdata201618#references.
[ 5 ] General Data Protection Regulation [EB/OL].[2019-03-31]. https://gdpr-info.eu/.
[ 6 ] UC Berkeley How to Classify Research Data [EB/OL]. [2019-04-02] https://security.berkeley.edu/resources/best-practices-how-articles/securityawareness/how-classify-research-data.
[ 7 ] Harvard Research Data Security Policy (HRDSP)[EB/OL]. [2019-04-02]. https://vpr.harvard.edu/pages/harvard-research-data-security-policy.
[ 8 ] 《科学数据管理办法》[EB/OL].[2019-03-31].http://www.gov.cn/zhengce/content/2018-04/02/content_5279272.htm.

[ 9 ] 矫真, 王兆军, 刘丽君, 等. 营销系统敏感数据分级分类管理[J]. 通信电源技术, 2017, 34(4):182-183, 220.

[10] 高潮. 大数据时代用户消费型数据的分级分类隐私保护策略研究[J]. 广东通信技术, 2016, 36(9):10-12, 17.
[11] Z Wu, L Liu, C Yan, et al. “The approach of SWIMdata sharing based on multi-dimensional dataencryption,” 2017 25th International Conferenceon Software, Telecommunications and ComputerNetworks (SoftCOM), Split, 2017: 1-6.
[12] SYDES M R, JOHNSON A L, MEREDITH S K, etal. Sharing data from clinical trials: the rationale fora controlled access approach [J]. Trials, 2015, 16(1):1-6.
[13] MALIN B, BENITEZ K, MASYS D. Never too oldfor anonymity: a statistical standard for demographicdata sharing via the HIPAA Privacy Rule [J]. Journalof the American Medical Informatics Association,2011, 18(1): 3-10.
[14] CHU C K, CHOW S S M, TZENG W G, et al. KeyAggregateCryptosystem for Scalable Data Sharing inCloud Storage[J]. IEEE Transactions on Parallel &Distributed Systems, 2014, 25(2): 468-477.
[15] M Schapranow, et al. “Towards an integrated healthresearch process: A cloud-based approach,” 2016IEEE International Conference on Big Data (BigData), Washington, DC, 2016: 2813-2818.
[16] M Bar-Sinai, L Sweeney and M Crosas. “DataTags,Data Handling Policy Spaces and the TagsLanguage,” 2016 IEEE Security and PrivacyWorkshops (SPW), San Jose, CA, 2016: 1-8.
[17] 张计龙, 殷沈琴, 张用, 等. 社会科学数据的共享与服务——以复旦大学社会科学数据共享平台为例[J]. 大学图书馆学报, 2015, 33(1): 74-79.
[18] 罗鹏程, 朱玲, 崔海媛, 等. 基于Dataverse的北京大学开放研究数据平台建设[J]. 图书情报工作,2016, 60(3): 52-58.
[19] 哈佛大学隐私工具 —— 项目描述 [ E B / O L ] .[2019-03-31]. https://privacytools.seas.harvard.edu/project-description.
[20] 哈佛大学隐私工具——数据标签[EB/OL]. [2019-03-31]. https://privacytools.seas.harvard.edu/datatags.
[21] Sweeney L, Crosas M, Bar-Sinai M. SharingSensitive Data with Confidence: The DatatagsSystem. Technology Science. 2015101601. October16, 2015. https://techscience.org/a/2015101601.
[22] CARTER K M, IDIKA N, STREILEIN W W.Probabilistic Threat Propagation for NetworkSecurity[J]. IEEE Transactions on InformationForensics and Security, 2014, 9 (9): 1394-1405.
[23] PIRRETTI M, TRAYNOR P, MCDANIEL P, etal. Secure Attribute-Based Systems[J]. Journal ofComputer Security, 2010, 18 (5): 799-837.
[24] Harvard University Data Security Level [EB/OL].[2019-04-02] https://policy.security.harvard.edu/view-data-security-level.