同意代码:在不断扩大的开放科学生态系统中维护同意。

IF 2.7 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Neuroinformatics Pub Date : 2023-01-01 DOI:10.1007/s12021-022-09577-4
Stephanie O M Dyke, Kathleen Connor, Victoria Nembaware, Nchangwi S Munung, Kathy Reinold, Giselle Kerry, Mamana Mbiyavanga, Lyndon Zass, Mauricio Moldes, Samir Das, John M Davis, Jordi Rambla De Argila, J Dylan Spalding, Alan C Evans, Nicola Mulder, Jason Karamchandani
{"title":"同意代码:在不断扩大的开放科学生态系统中维护同意。","authors":"Stephanie O M Dyke,&nbsp;Kathleen Connor,&nbsp;Victoria Nembaware,&nbsp;Nchangwi S Munung,&nbsp;Kathy Reinold,&nbsp;Giselle Kerry,&nbsp;Mamana Mbiyavanga,&nbsp;Lyndon Zass,&nbsp;Mauricio Moldes,&nbsp;Samir Das,&nbsp;John M Davis,&nbsp;Jordi Rambla De Argila,&nbsp;J Dylan Spalding,&nbsp;Alan C Evans,&nbsp;Nicola Mulder,&nbsp;Jason Karamchandani","doi":"10.1007/s12021-022-09577-4","DOIUrl":null,"url":null,"abstract":"<p><p>We previously proposed a structure for recording consent-based data use 'categories' and 'requirements' - Consent Codes - with a view to supporting maximum use and integration of genomic research datasets, and reducing uncertainty about permissible re-use of shared data. Here we discuss clarifications and subsequent updates to the Consent Codes (v4) based on new areas of application (e.g., the neurosciences, biobanking, H3Africa), policy developments (e.g., return of research results), and further practical considerations, including developments in automated approaches to consent management.</p>","PeriodicalId":49761,"journal":{"name":"Neuroinformatics","volume":"21 1","pages":"89-100"},"PeriodicalIF":2.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931855/pdf/","citationCount":"0","resultStr":"{\"title\":\"Consent Codes: Maintaining Consent in an Ever-expanding Open Science Ecosystem.\",\"authors\":\"Stephanie O M Dyke,&nbsp;Kathleen Connor,&nbsp;Victoria Nembaware,&nbsp;Nchangwi S Munung,&nbsp;Kathy Reinold,&nbsp;Giselle Kerry,&nbsp;Mamana Mbiyavanga,&nbsp;Lyndon Zass,&nbsp;Mauricio Moldes,&nbsp;Samir Das,&nbsp;John M Davis,&nbsp;Jordi Rambla De Argila,&nbsp;J Dylan Spalding,&nbsp;Alan C Evans,&nbsp;Nicola Mulder,&nbsp;Jason Karamchandani\",\"doi\":\"10.1007/s12021-022-09577-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We previously proposed a structure for recording consent-based data use 'categories' and 'requirements' - Consent Codes - with a view to supporting maximum use and integration of genomic research datasets, and reducing uncertainty about permissible re-use of shared data. Here we discuss clarifications and subsequent updates to the Consent Codes (v4) based on new areas of application (e.g., the neurosciences, biobanking, H3Africa), policy developments (e.g., return of research results), and further practical considerations, including developments in automated approaches to consent management.</p>\",\"PeriodicalId\":49761,\"journal\":{\"name\":\"Neuroinformatics\",\"volume\":\"21 1\",\"pages\":\"89-100\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931855/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuroinformatics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s12021-022-09577-4\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroinformatics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12021-022-09577-4","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

摘要

我们之前提出了一个记录基于同意的数据使用“类别”和“要求”的结构-同意代码-以支持最大限度地使用和整合基因组研究数据集,并减少允许重用共享数据的不确定性。在这里,我们将根据新的应用领域(如神经科学、生物银行、H3Africa)、政策发展(如研究结果的返回)和进一步的实际考虑,包括自动化同意管理方法的发展,讨论同意代码(v4)的澄清和后续更新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Consent Codes: Maintaining Consent in an Ever-expanding Open Science Ecosystem.

We previously proposed a structure for recording consent-based data use 'categories' and 'requirements' - Consent Codes - with a view to supporting maximum use and integration of genomic research datasets, and reducing uncertainty about permissible re-use of shared data. Here we discuss clarifications and subsequent updates to the Consent Codes (v4) based on new areas of application (e.g., the neurosciences, biobanking, H3Africa), policy developments (e.g., return of research results), and further practical considerations, including developments in automated approaches to consent management.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Neuroinformatics
Neuroinformatics 医学-计算机:跨学科应用
CiteScore
6.00
自引率
6.70%
发文量
54
审稿时长
3 months
期刊介绍: Neuroinformatics publishes original articles and reviews with an emphasis on data structure and software tools related to analysis, modeling, integration, and sharing in all areas of neuroscience research. The editors particularly invite contributions on: (1) Theory and methodology, including discussions on ontologies, modeling approaches, database design, and meta-analyses; (2) Descriptions of developed databases and software tools, and of the methods for their distribution; (3) Relevant experimental results, such as reports accompanie by the release of massive data sets; (4) Computational simulations of models integrating and organizing complex data; and (5) Neuroengineering approaches, including hardware, robotics, and information theory studies.
期刊最新文献
Teaching Research Data Management with DataLad: A Multi-year, Multi-domain Effort. Hands-On Neuroinformatics Education at the Crossroads of Online and In-Person: Lessons Learned from NeuroHackademy. Utilizing fMRI to Guide TMS Targets: the Reliability and Sensitivity of fMRI Metrics at 3 T and 1.5 T. Bayesian Tensor Modeling for Image-based Classification of Alzheimer's Disease. A Bayesian Multiplex Graph Classifier of Functional Brain Connectivity Across Diverse Tasks of Cognitive Control.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1