Good morning all - Lots of wintry weather out there, so we hope everyone has safe travels to our winter meeting. If you are not able to join us, the Winter Meeting Guide has remote participation information.
See you in Bethedsa!
Remember, if there is anything you'd like to see included in next week's Monday Update, send it to Bruce Caron (brucecaron AT esipfed.org).
The NOAA Environmental Data Management Workshop will be Monday and Tuesday. On Tuesday afternoon, Dr. Bill Hooke, Associate Executive Director & Senior Policy Fellow at AMS will be the final keynote . Starting at 4, there will be an informal reception at the end of the afternoon. If you get in early drop in for this great talk or the reception.
DataONE Webinar on International Metadata Standards Join DataONE on Tuesday 1/10 for a free Webinar on “International Metadata Standards and Enterprise Data Quality Metadata Systems” presented by Tedd Habermann (HDF Group).
Tuesday January 10th at 0900 am Pacific Time, 1200 noon Eastern Time
Well-documented data quality is critical in situations where scientists and decision-makers need to combine multiple datasets from different disciplines and instrumentation to address scientific questions or difficult decisions. Standardized data quality metadata could be very helpful in these situations. Many efforts at developing data quality standards falter because of the diversity of approaches to measuring and reporting data quality. The “one size fits all” paradigm does not generally work well in this situation.
The ISO data quality standard (ISO 19157) was recently endorsed by the U.S. Federal Geographic Data Committee. Rather than seeking to align different quality measurement systems (a daunting task), the standard focuses on systematically describing how data quality is measured. ISO 19157 also introduces the idea of standard data quality measures that can be well documented in a shared repository and used for consistently describing how data quality is measured across an enterprise. The standard includes recommendations for properties of these measures that include unique identifiers, references, illustrations and examples. Metadata records can reference these measures using the unique identifier and reuse them along with details (and references) that describe how the measure was applied to a particular dataset.