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Category Archives: Documentation / metadata
Good data examples
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 →
Posted in Data cleanup, Documentation / metadata, Sharing / publishing
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Tagged Love Your Data Week, LYD17
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Documenting, describing, and defining data
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 →
Posted in Data quality, Documentation / metadata
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Tagged Love Your Data Week, LYD17
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Know Your Data Quality
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 →
Posted in Data cleanup, Data quality, Documentation / metadata
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Tagged Love Your Data Week, LYD17
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Readme File: Explaining Your Raw Data
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 →
11 Errors You Could Be Making With Your Tabular Data
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
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Tagged Tabular Data
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