Love Your Data (LYD) Week - Day 3 of 5: Good Data Example

February 10, 2017

By Sophie Hou, NCAR Data Curation & Stewardship Coordinator

Similar to data quality, data’s “goodness” can also be challenging to quantify and measure. However, a dataset that demonstrates a higher degree of quality (i.e. completeness, accuracy, credibility and consistency) could also potentially be “better” than its peer datasets that show lesser degree of these attributes.

For LYD, “good data” should also be “FAIR,” i.e. Findable, Accessible, Interoperable, and Re-usable, and in order to be “FAIR,” in addition to using metadata to document, describe, and define a research product/output, such as a dataset, publication, software, and model, it is also crucial to deposit and archive/preserve the product/output, so that it will not be lost and could be taken care of for the long term.

In order to help enable NCAR Labs' results to be “FAIR,” the Data Stewardship Engineering Team is developing and implementing a search and discovery system and a general repository that will be made available through the Digital Asset Services Hub (DASH).

To learn more about the upcoming DASH Search and Discovery system and the Repository, please check the Digital Asset Services Hub (DASH) website (updates will be provided over the next months) or contact us at This information is provided as part of the Love Your Data (LYD) Week 2017 series.