Category Archives: Data cleanup

Rescuing unloved data

Posted on February 17, 2017 by bwestra@uoregon.edu

Message of the day “Data that is mobile, visible and well-loved stands a better chance of surviving” ~ Kurt Bollacker Things to consider Legacy, heritage and at-risk data share one common theme: barrier to access. Data that has been recorded … Continue reading →

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Good data examples

Posted on February 15, 2017 by bwestra@uoregon.edu

Message of the day Good data are FAIR – Findable, Accessible, Interoperable, Re-usable Things to consider What makes data good? It has to be readable and documented well enough for others (and a future you) to understand. Data has to … Continue reading →

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Know Your Data Quality

Posted on February 13, 2017 by bwestra@uoregon.edu

Message of the day: Data quality is the degree to which data meets the purposes and requirements of its use. It may refer to completeness, accuracy, credibility, timeliness, accessibility, consistency, or other factors. Things to consider Data quality reflects on … Continue reading →

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11 Errors You Could Be Making With Your Tabular Data

Posted on February 6, 2017 by ahass

Many of us use spreadsheets to record, manage, and share data, but the ease of working with spreadsheets can mask some important considerations for your data. Below are some of the more common mistakes people make with their tabular data, … Continue reading →

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Data Carpentry Workshop

Posted on March 2, 2016 by bwestra@uoregon.edu

Are you looking for: better ways to organize spreadsheet data tools to speed up cleaning up tabular (spreadsheet) data an alternative to commercial statistics software (R) how to create data visualizations in R using relational databases to manage data If … Continue reading →

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