Category Archives: Documentation / metadata

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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Documenting, describing, and defining data

Posted on February 14, 2017 by bwestra@uoregon.edu

Message of the day Good documentation tells people they can trust your data by enabling validation, replication, and reuse. Things to consider Why does having good documentation matter? It contributes to the quality and usefulness of your research and the … 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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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 →

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