Postal Delivery of Illegal Consignments into Scotland: Dataset Description

Ben Matthews, S. McVie, C. Dibben, Ben Collier
{"title":"Postal Delivery of Illegal Consignments into Scotland: Dataset Description","authors":"Ben Matthews, S. McVie, C. Dibben, Ben Collier","doi":"10.2139/ssrn.3611823","DOIUrl":null,"url":null,"abstract":"This report describes a novel dataset of illegal consignments from overseas identified in postal processing centres between April 2011 and January 2016 and intended for delivery to Scotland. The data were provided to researchers at the Scottish Centre for Administrative Data Research by the National Crime Agency. This dataset provides valuable information on drugs entering Scotland via international postal services, a popular delivery method for drugs purchased in online cryptomarkets. The report provides an overview of how the dataset was constructed, its contents, and the technical and governance arrangements involved in accessing this dataset. It also provides descriptive statistics for the variables included in the dataset, comparing this data source with other data on patterns of cryptomarket usage and focusing particularly on the type, size and distribution of different commodities. From this comparison we conclude that the Illegal Consignment dataset has similar characteristics to other datasets on cryptomarket use over the same time span.","PeriodicalId":255520,"journal":{"name":"English & Commonwealth Law eJournal","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"English & Commonwealth Law eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3611823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This report describes a novel dataset of illegal consignments from overseas identified in postal processing centres between April 2011 and January 2016 and intended for delivery to Scotland. The data were provided to researchers at the Scottish Centre for Administrative Data Research by the National Crime Agency. This dataset provides valuable information on drugs entering Scotland via international postal services, a popular delivery method for drugs purchased in online cryptomarkets. The report provides an overview of how the dataset was constructed, its contents, and the technical and governance arrangements involved in accessing this dataset. It also provides descriptive statistics for the variables included in the dataset, comparing this data source with other data on patterns of cryptomarket usage and focusing particularly on the type, size and distribution of different commodities. From this comparison we conclude that the Illegal Consignment dataset has similar characteristics to other datasets on cryptomarket use over the same time span.
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
邮寄非法货物进入苏格兰:数据集描述
本报告描述了2011年4月至2016年1月期间在邮政处理中心发现的海外非法货物的新数据集,这些货物原本打算运往苏格兰。这些数据是由国家犯罪局提供给苏格兰行政数据研究中心的研究人员的。该数据集提供了通过国际邮政服务进入苏格兰的药物的宝贵信息,这是一种在网上加密市场购买药物的流行交付方式。该报告概述了数据集的构建方式、内容以及访问该数据集所涉及的技术和治理安排。它还提供了数据集中包含的变量的描述性统计数据,将该数据源与加密市场使用模式的其他数据进行比较,并特别关注不同商品的类型、规模和分布。通过这种比较,我们得出结论,非法寄售数据集与同一时间段内加密市场使用的其他数据集具有相似的特征。
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
自引率
0.00%
发文量
0
期刊最新文献
Pith and Marrow is Dead… Long Live Pith and Marrow: The Doctrine of Equivalents After Actavis THE ATO TR 2021/D4 - Taxation of Software Payments as Royalties - Comments on the Draft Ruling The Internal Market: An Historical Perspective AI in the Boardroom: Let the Law be in the Driving Seat Back to School - and After
×
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