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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 <a href=\"https://francescolelli.info/\"  target=\"_blank\"> Francesco Lelli </a>"},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2024-06-13"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Computer and Information Science","Social Sciences","Other"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Tilburg University"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Economics"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Dataset"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Information security breaches"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Stock measures"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Accounting measures"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Event data"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"S&P500"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Financial data"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Security"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Voermans, N.; Lelli, F. A Dataset Containing S&P500 Information Security Breaches and Related Financial Firm Performances. Preprints 2024, 2024060975. https://doi.org/10.20944/preprints202406.0975.v1"},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"10.20944/preprints202406.0975.v1"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.20944/preprints202406.0975.v1"}}]},{"typeName":"notesText","multiple":false,"typeClass":"primitive","value":"Production date: 01-2024---- 05-2024<br>\nMethod: Data on information security breaches through manual search of the Internet, financial data through Refinitiv (LSEG). (Approval obtained from Refinitiv to publish these data)<br>\nUniverse: S&P500 companies<br>\nCountry / Nation: USA\n<br><br>\nThe 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 <a href=\"https://dans.knaw.nl/en/file-formats\">https://dans.knaw.nl/en/file-formats/</a>."},{"typeName":"producer","multiple":true,"typeClass":"compound","value":[{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"Tilburg University"}}]},{"typeName":"productionDate","multiple":false,"typeClass":"primitive","value":"2024-06-13"},{"typeName":"distributor","multiple":true,"typeClass":"compound","value":[{"distributorName":{"typeName":"distributorName","multiple":false,"typeClass":"primitive","value":"DataverseNL"}}]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Lelli, Francesco"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2024-06-13"},{"typeName":"dateOfCollection","multiple":true,"typeClass":"compound","value":[{"dateOfCollectionStart":{"typeName":"dateOfCollectionStart","multiple":false,"typeClass":"primitive","value":"2024-01-01"},"dateOfCollectionEnd":{"typeName":"dateOfCollectionEnd","multiple":false,"typeClass":"primitive","value":"2024-05-31"}}]},{"typeName":"kindOfData","multiple":true,"typeClass":"primitive","value":["Text data","Financial data"]},{"typeName":"accessToSources","multiple":false,"typeClass":"primitive","value":"Data files: <br>\n6 raw Microsoft Excel files (.xls)<br>\nSupplemental material: \n<ul>\n<li>Data_Publication_Package.pdf \n<li>Detailed description of the data has been released in the following preprint: [Preprint in progress]\n</ul>\nStructure data package<br>\nThe 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.\n<br>\nThe six .xls documents are also present in their preferred file format csv (see Notes for further explanation)."}]},"dansDataVaultMetadata":{"displayName":"Data Vault Metadata","name":"dansDataVaultMetadata","fields":[{"typeName":"dansDataversePid","multiple":false,"typeClass":"primitive","value":"doi:10.34894/Z2IDYZ"},{"typeName":"dansDataversePidVersion","multiple":false,"typeClass":"primitive","value":"1.0"},{"typeName":"dansBagId","multiple":false,"typeClass":"primitive","value":"urn:uuid:8353da4a-0ed7-4bcf-bd02-68088aab91a4"},{"typeName":"dansNbn","multiple":false,"typeClass":"primitive","value":"urn:nbn:nl:ui:13-87250164-6c3c-4e08-944b-34e7b3314cb5"}]}},"files":[{"description":"Added as preferred format for .xlsx file with the same name.","label":"Disclosed security breach data thesis IM 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