TYPES OF DATA
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Public-use data, with or without usage restrictions, that has only non-personal information.
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De-identified data with usage restrictions. These data do not contain any direct identifiers but contain sensitive or restricted information.
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Data that include any kind of direct personal identifier, such as names, addresses, or SSN.
QUICK REFERENCE
CUSP Data Catalog
Urban Profiler
External Resources
Python
Tools & Resources
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Anaconda
The completely free Python distribution for large-scale data processing, predictive analytics, and scientific computing.
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Trinket
Trinket is a Python environment in the cloud. You can run basic Python scripts and share code by simply sending a URL.
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Official Documentation
A trusted resource including library and language references, module guides, and much more.
Video Tutorials
R
Tools & Resources
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R Studio
RStudio IDE is a powerful and productive user interface for R. It’s free and open source, and works great on Windows, Mac, and Linux.
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Shiny
A web application framework for R. Turn your analyses into interactive web applications. No HTML, CSS, or JavaScript knowledge required.
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Official Documentation
Manuals for R on introduction and installation, data import/export, extensions, and more.
Video Tutorials
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Getting started with the R environment
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Reading data from a spreadsheet
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Reading data from SPSS
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Using and managing packages
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Creating bar charts for categorical variables
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Creating histograms for quantitative variables
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Creating box plots for quantitative variables
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Creating simple bar charts of group means
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Creating scatterplots
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Creating scatterplot matrices
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Calculating correlations
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Computing a regression
Best Practices
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The Center for Open Data Enterprise
The 2016 Open Data Roundtables are action-oriented dialogues that bring together government agencies and the organizations that use their data.
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Data Management Planning
Information on best practices and standards for data management planning from NYU Libraries Data Services
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Checklist for a Data Management Plan
Data Management Plan Checklist from UK
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EU Horizon 2020 Project
Guidelines on Data Management in Horizon 2020
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ICPSR: Data Preparation and Archiving
Guide to Social Science Data Preparation and Archiving
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ICPSR: Data Preservation
Digital Preservation Policies and Planning at ICPSR
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Why Are Data Sharing and Reuse So Difficult?
A 30-minute presentation by Christine Borgman