FeatureComputer and Information Sciences

Thinking about CSV

https://doi.org/10.53731/r79xbr1-97aq74v-ag5ar
Published in Front Matter

This week some of us from DataCite are attending CSVconf in Berlin, and we are a conference sponsor and co-organizer. One important reason we are at CSVconf is that providing persistent identifiers and starndard metadata for research data, which in most cases are stored in tabular data formats such as CSV, is central to what DataCite is doing.

References

Computer and information sciences

Using YAML Frontmatter with CSV

https://doi.org/10.53731/r79tfth-97aq74v-ag53f
Published

CSV (comma-separated values) is a popular file format for data. It is popular because it is very simple: CSV is text-based and any application that can open text files can read or write CSV. This makes it a good fit for digital preservation. We don't know how many of the datasets in DataCite use CSV because the format metadata attribute is not used much (this query gives you some examples), but we know that the number is big.