Information security and computer fraud最新文献

筛选
英文 中文
The DISTANCE model for collaborative research: distributing analytic effort using scrambled data sets. 协作研究的DISTANCE模型:使用打乱的数据集分配分析工作。
Information security and computer fraud Pub Date : 2014-01-01 DOI: 10.12691/iscf-2-3-1
Howard H Moffet, E Margaret Warton, Melissa M Parker, Jennifer Y Liu, Courtney R Lyles, Andrew J Karter
{"title":"The DISTANCE model for collaborative research: distributing analytic effort using scrambled data sets.","authors":"Howard H Moffet,&nbsp;E Margaret Warton,&nbsp;Melissa M Parker,&nbsp;Jennifer Y Liu,&nbsp;Courtney R Lyles,&nbsp;Andrew J Karter","doi":"10.12691/iscf-2-3-1","DOIUrl":"https://doi.org/10.12691/iscf-2-3-1","url":null,"abstract":"<p><strong>Background: </strong>Data-sharing is encouraged to fulfill the ethical responsibility to transform research data into public health knowledge, but data sharing carries risks of improper disclosure and potential harm from release of individually identifiable data.</p><p><strong>Methods: </strong>The study objective was to develop and implement a novel method for scientific collaboration and data sharing which distributes the analytic burden while protecting patient privacy. A procedure was developed where in an investigator who is external to an analytic coordinating center (ACC) can conduct original research following a protocol governed by a Publications and Presentations (P&P) Committee. The collaborating investigator submits a study proposal and, if approved, develops the analytic specifications using existing data dictionaries and templates. An original data set is prepared according to the specifications and the external investigator is provided with a complete but de-identified and shuffled data set which retains all key data fields but which obfuscates individually identifiable data and patterns; this\" scrambled data set\" provides a \"sandbox\" for the external investigator to develop and test analytic code for analyses. The analytic code is then run against the original data at the ACC to generate output which is used by the external investigator in preparing a manuscript for journal submission.</p><p><strong>Results: </strong>The method has been successfully used with collaborators to produce many published papers and conference reports.</p><p><strong>Conclusion: </strong>By distributing the analytic burden, this method can facilitate collaboration and expand analytic capacity, resulting in more science for less money.</p>","PeriodicalId":90529,"journal":{"name":"Information security and computer fraud","volume":"2 3","pages":"33-38"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288766/pdf/nihms637330.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32971361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信