<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Open e-commerce 1.0:  Five years of crowdsourced U.S. Amazon purchase histories with user demographics</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/YGLYDY</dcterms:identifier><dcterms:creator>Alex Berke</dcterms:creator><dcterms:creator>Dan Calacci</dcterms:creator><dcterms:creator>Robert Mahari</dcterms:creator><dcterms:creator>Takahiro Yabe</dcterms:creator><dcterms:creator>Kent Larson</dcterms:creator><dcterms:creator>Sandy Pentland</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2023-12-02</dcterms:issued><dcterms:modified>2023-12-02T20:57:59Z</dcterms:modified><dcterms:description>This dataset contains longitudinal purchases data from 5027 Amazon.com users in the US, spanning 2018 through 2022: amazon-purchases.csv&lt;br>
It also includes demographic data and other consumer level variables for each user with data in the dataset. These consumer level variables were collected through an online survey and are included in survey.csv
&lt;br>
fields.csv describes the columns in the survey.csv file, where fields/survey columns correspond to survey questions. 
&lt;br>
&lt;br>
The dataset also contains the survey instrument used to collect the data.
More details about the survey questions and possible responses, and the format in which they were presented can be found by viewing the survey instrument.
&lt;br>
&lt;br>
A 'Survey ResponseID' column is present in both the amazon-purchases.csv and survey.csv files. It links a user's survey responses to their Amazon.com purchases. The 'Survey ResponseID' was randomly generated at the time of data collection. 
&lt;br>&lt;br>
&lt;b>amazon-purchases.csv&lt;/b>
&lt;br>
Each row in this file corresponds to an Amazon order. Each such row has the following columns: 
&lt;ul>
&lt;li>Survey ResponseID&lt;/li>
&lt;li>Order date&lt;/li>
&lt;li>Shipping address state&lt;/li>
&lt;li>Purchase price per unit&lt;/li>
&lt;li>Quantity&lt;/li>
&lt;li>ASIN/ISBN (Product Code)&lt;/li>
&lt;li>Title &lt;/li>
&lt;li>Category&lt;/li> 
&lt;/ul>

&lt;br>
The data were exported by the Amazon users from Amazon.com and shared by users with their informed consent. PII and other information not listed above were stripped from the data. This processing occurred on users' machines before sharing with researchers.</dcterms:description><dcterms:subject>Social Sciences</dcterms:subject><dcterms:subject>Other</dcterms:subject><dcterms:subject>e-commerce</dcterms:subject><dcterms:subject>purchase histories</dcterms:subject><dcterms:subject>crowdsourced</dcterms:subject><dcterms:isReferencedBy>Berke, A., Mahari, R., Pentland, S., Larson, K., Calacci, D. Insights from an experiment crowdsourcing data from thousands of US Amazon users: The importance of transparency, money, and data use. (In review)., https://github.com/aberke/amazon-study/blob/master/data-collection-survey-experiment.pdf</dcterms:isReferencedBy><dcterms:date>2023-12-02</dcterms:date><dcterms:contributor>Alex Berke</dcterms:contributor><dcterms:dateSubmitted>2023-12-02</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>