Lab 3 - Context and Historical Background

library(tidyverse)

Instructions and Overview

This week you are going to do some background research on the dataset that you will be working with throughout the project - assessing how the data you plan to analyze get produced, who produced them, what they are designed to represent (and also what they might ignore), and what socio-political contexts might affect their scope.

As you respond to these questions, you should be sure to examine the data documentation, the web source where you retrieved the data, the website of the organization that collected or published the data, and any laws/press releases/news articles that reference the data. All responses should be in complete sentences, in your own words, and be sure to cite all sources.

Data Context and Historical Background

Who collects the data? Who aggregates the data? Who publishes the data? Why are these groups involved in the production of the data?

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According to what procedures is the data collected?

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How long has the data been collected? Have there been any major changes to how the data gets collected since its inception?

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Where is the data collected? How often is the data collected?

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Are there any laws that mandate the data to be collected? If so, what are they?

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Have any social movements pushed for the data to be collected? How have these groups exerted influence over the data collection?

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What technologies, algorithms, or other datasets are needed to produce this dataset?

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List any expenses that you can anticipate being involved in producing this data. Who pays for these expenses?

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How long has this dataset been public? Under what circumstances was this dataset made public? Through what channels has the dataset been made available to the public?

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Do any institutions leverage the dataset to support decision-making? Which institutions, and which decisions?

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How has this dataset been talked about in the media?

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Which people, places, things, or issues may be over-represented in the data? Why? Which people, places, things, or issues may be under-represented in the data? Why?

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Describe one way this dataset may have been produced differently. In what ways might the data be different if produced in this alternative way?

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