FAIRness in digital forensics datasets’ metadata – and how to improve it

IF 2 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Forensic Science International-Digital Investigation Pub Date : 2024-03-01 DOI:10.1016/j.fsidi.2023.301681
Samuele Mombelli , James R. Lyle , Frank Breitinger
{"title":"FAIRness in digital forensics datasets’ metadata – and how to improve it","authors":"Samuele Mombelli ,&nbsp;James R. Lyle ,&nbsp;Frank Breitinger","doi":"10.1016/j.fsidi.2023.301681","DOIUrl":null,"url":null,"abstract":"<div><p>The availability of research data (datasets) and compliance with FAIR principles—Findability, Accessibility, Interoperability, and Reusability—is critical to progressing digital forensics. This study evaluates metadata completeness and assesses the alignment with the FAIR principles using all 212 datasets from NIST's Computer Forensic Reference DataSet Portal (CFReDS). The findings underscore deficiencies in metadata quality and FAIR compliance, emphasizing the need for improved data management standards. Based on our critical review, we then propose and discuss various approaches to improve the status quo.</p></div>","PeriodicalId":48481,"journal":{"name":"Forensic Science International-Digital Investigation","volume":"48 ","pages":"Article 301681"},"PeriodicalIF":2.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666281723002007/pdfft?md5=178027a9ec5ec54778a3d61f51e304b0&pid=1-s2.0-S2666281723002007-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Science International-Digital Investigation","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666281723002007","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

The availability of research data (datasets) and compliance with FAIR principles—Findability, Accessibility, Interoperability, and Reusability—is critical to progressing digital forensics. This study evaluates metadata completeness and assesses the alignment with the FAIR principles using all 212 datasets from NIST's Computer Forensic Reference DataSet Portal (CFReDS). The findings underscore deficiencies in metadata quality and FAIR compliance, emphasizing the need for improved data management standards. Based on our critical review, we then propose and discuss various approaches to improve the status quo.

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
数字取证数据集元数据的公平与公正性--以及如何加以改进
研究数据(数据集)的可用性以及与 FAIR 原则(可查找性、可访问性、互操作性和可重用性)的一致性对于数字取证的发展至关重要。本研究使用 NIST 计算机取证参考数据集门户网站 (CFReDS) 中的所有 212 个数据集评估元数据的完整性,并评估与 FAIR 原则的一致性。研究结果突出了元数据质量和 FAIR 合规性方面的不足,强调了改进数据管理标准的必要性。在严格审查的基础上,我们提出并讨论了改善现状的各种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.90
自引率
15.00%
发文量
87
审稿时长
76 days
期刊最新文献
A Smart City Infrastructure ontology for threats, cybercrime, and digital forensic investigation Data hiding in the XFS file system Exploring the potential of large language models for improving digital forensic investigation efficiency Optimising data set creation in the cybersecurity landscape with a special focus on digital forensics: Principles, characteristics, and use cases Tool induced biases? Misleading data presentation as a biasing source in digital forensic analysis
×
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