A dataset containing S&P500 information security breaches and related financial firm performances

DOI

In this document, comprehensive datasets are presented to advance research on information security breaches. The datasets include data on disclosed information security breaches affecting S&P500 companies between 2020 and 2023, collected through manual search of the Internet. Overall, the datasets include 504 companies, with detailed information security breach and financial data available for 97 firms that experienced a disclosed information security breach. This document will describe the datasets in detail, explain the data collection procedure and shows the initial versions of the datasets. Contact at Tilburg University Francesco Lelli

Data files: 6 raw Microsoft Excel files (.xls) Supplemental material:

Data_Publication_Package.pdf Detailed description of the data has been released in the following preprint: [Preprint in progress]

Structure data package The folder contains the 6 .xls documents, the data publication package. Link to the preprint describing the dataset is in the description of the dataset itself.

The six .xls documents are also present in their preferred file format csv (see Notes for further explanation).

Production date: 01-2024---- 05-2024 Method: Data on information security breaches through manual search of the Internet, financial data through Refinitiv (LSEG). (Approval obtained from Refinitiv to publish these data) Universe: S&P500 companies Country / Nation: USA

The six spreadsheet files (one-sheet xlsx files) are also present in their preferred file format csv. Preferred formats are file formats of which DANS – based on international agreements – is confident that they will offer the best long-term guarantees in terms of usability, accessibility and sustainability. For more information on preferred file formats, see https://dans.knaw.nl/en/file-formats/.

Identifier
DOI https://doi.org/10.34894/Z2IDYZ
Related Identifier IsCitedBy https://doi.org/10.20944/preprints202406.0975.v1
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/Z2IDYZ
Provenance
Creator Voermans, Nynke; Lelli, Francesco ORCID logo
Publisher DataverseNL
Contributor Lelli, Francesco; Tilburg University; DataverseNL
Publication Year 2024
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Lelli, Francesco (Tilburg University, Tilburg School of Economics and Management)
Representation
Resource Type Text data; Dataset
Format text/csv; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/pdf
Size 58832; 64856; 23048; 36429; 22649; 36000; 2072394; 1844452; 2014511; 1831436; 93304; 89376; 153677
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Economics; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences