Author Archives: ahass

Readme File: Explaining Your Raw Data

Posted on February 9, 2017 by ahass

A readme file is an important addition to your raw data collections. Readme files allow others to understand and reuse your data after you have submitted it to repositories by explaining the nuances of your unique data collection. Here are … 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 →

Posted in Data cleanup, Data quality, Documentation / metadata, Sharing / publishing | Tagged | Leave a comment