• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

"Taking out the trash": Strategies for preventing and managing fraudulent data in web-surveys.

作者信息

Panesar Prabdeep, Mayo Samantha J

机构信息

Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON.

Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON; Princess Margaret Cancer Centre, University Health Network, Toronto, ON.

出版信息

Can Oncol Nurs J. 2023 Apr 1;33(2):283-284. eCollection 2023 Spring.

PMID:37152829
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10155765/
Abstract
摘要

相似文献

1
"Taking out the trash": Strategies for preventing and managing fraudulent data in web-surveys.“清理垃圾”:网络调查中预防和管理欺诈性数据的策略
Can Oncol Nurs J. 2023 Apr 1;33(2):283-284. eCollection 2023 Spring.
2
Methods for Authenticating Participants in Fully Web-Based Mobile App Trials from the iReach Project: Cross-sectional Study.基于 iReach 项目的全网络移动应用试验中参与者认证方法:横断面研究。
JMIR Mhealth Uhealth. 2021 Aug 31;9(8):e28232. doi: 10.2196/28232.
3
Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire.社交媒体招募研究参与者后对数据质量的机器人和其他不良行为者的威胁:横断面问卷调查。
J Med Internet Res. 2020 Oct 7;22(10):e23021. doi: 10.2196/23021.
4
Preventing and Protecting Against Internet Research Fraud in Anonymous Web-Based Research: Protocol for the Development and Implementation of an Anonymous Web-Based Data Integrity Plan.预防和防范基于网络的匿名研究中的互联网研究欺诈:基于网络的匿名数据完整性计划的制定与实施协议
JMIR Res Protoc. 2022 Sep 12;11(9):e38550. doi: 10.2196/38550.
5
A prospective analysis of trash, brush, and grass burning behaviors.对垃圾、灌木和草坪焚烧行为的前瞻性分析。
J Burn Care Res. 2008 May-Jun;29(3):441-5. doi: 10.1097/BCR.0b013e3181710835.
6
Strategies for the Identification and Prevention of Survey Fraud: Data Analysis of a Web-Based Survey.识别与预防调查欺诈的策略:基于网络调查的数据分析
JMIR Cancer. 2021 Jul 16;7(3):e30730. doi: 10.2196/30730.
7
Assessment of head loss coefficients for water turbine intake trash-racks by numerical modeling.
J Adv Res. 2019 Oct 30;21:109-119. doi: 10.1016/j.jare.2019.10.010. eCollection 2020 Jan.
8
The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection.从推特聊天中早期检测新冠欺诈产品:使用异常检测的数据集和基线方法
JMIR Infodemiology. 2023 Mar 14;3:e43694. doi: 10.2196/43694. eCollection 2023.
9
Out With The Trash, Out With The Trash, Out With The Trash!把垃圾扔掉,把垃圾扔掉,把垃圾扔掉!
Narrat Inq Bioeth. 2020;10(3):205-207. doi: 10.1353/nib.2020.0068.
10
Do farmers perceive risks of fraudulent pesticides? Evidence from Saudi Arabia.农民是否能察觉到农药欺诈风险?来自沙特阿拉伯的证据。
PLoS One. 2020 Sep 28;15(9):e0239298. doi: 10.1371/journal.pone.0239298. eCollection 2020.

引用本文的文献

1
Imposters, Bots, and Other Threats to Data Integrity in Online Research: Scoping Review of the Literature and Recommendations for Best Practices.冒名顶替者、机器人及在线研究中数据完整性面临的其他威胁:文献综述与最佳实践建议
Online J Public Health Inform. 2025 Aug 29;17:e70926. doi: 10.2196/70926.
2
Patient-reported strategies for prevention and treatment of chemotherapy-induced peripheral neuropathy.患者报告的化疗引起的周围神经病变的预防和治疗策略。
Support Care Cancer. 2025 Feb 3;33(2):142. doi: 10.1007/s00520-025-09190-6.
3
Challenges and Lessons Learned in Managing Web-Based Survey Fraud for the Garnering Effective Outreach and Research in Georgia for Impact Alliance-Community Engagement Alliance Survey Administrations.在为佐治亚州影响联盟 - 社区参与联盟调查管理进行有效外展和研究的网络调查欺诈管理中面临的挑战及经验教训。
JMIR Public Health Surveill. 2024 Dec 24;10:e51786. doi: 10.2196/51786.

本文引用的文献

1
Are Your Participants Real? Dealing with Fraud in Recruiting Older Adults Online.参与者是真实的吗?在线招募老年人时应对欺诈行为。
West J Nurs Res. 2023 Jan;45(1):93-99. doi: 10.1177/01939459221098468. Epub 2022 May 19.
2
Strategies for the Identification and Prevention of Survey Fraud: Data Analysis of a Web-Based Survey.识别与预防调查欺诈的策略:基于网络调查的数据分析
JMIR Cancer. 2021 Jul 16;7(3):e30730. doi: 10.2196/30730.
3
Recognizing and Preventing Participant Deception in Online Nicotine and Tobacco Research Studies: Suggested Tactics and a Call to Action.识别与预防在线尼古丁及烟草研究中的参与者欺骗行为:建议策略与行动呼吁。
Nicotine Tob Res. 2021 Aug 29;23(10):1810-1812. doi: 10.1093/ntr/ntab077.
4
Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire.社交媒体招募研究参与者后对数据质量的机器人和其他不良行为者的威胁:横断面问卷调查。
J Med Internet Res. 2020 Oct 7;22(10):e23021. doi: 10.2196/23021.
5
Lessons Learned From an Online Study with Dual-smoker Couples.从一项针对双重吸烟夫妇的在线研究中吸取的经验教训。
Am J Health Behav. 2017 Jan;41(1):61-66. doi: 10.5993/ajhb.41.1.6.
6
Detecting, preventing, and responding to "fraudsters" in internet research: ethics and tradeoffs.在网络研究中检测、预防和应对“欺诈者”:伦理与权衡
J Law Med Ethics. 2015 Spring;43(1):116-33. doi: 10.1111/jlme.12200.
7
Strategies to address participant misrepresentation for eligibility in Web-based research.解决基于网络研究中参与者为符合资格而虚假陈述的策略。
Int J Methods Psychiatr Res. 2014 Mar;23(1):120-9. doi: 10.1002/mpr.1415. Epub 2014 Jan 16.
8
When to use web-based surveys.何时使用基于网络的调查。
J Am Med Inform Assoc. 2000 Jul-Aug;7(4):426-9. doi: 10.1136/jamia.2000.0070426.