Pre-ESIP Workshop

Developing Community Guidelines for Consistently Curating and Representing Dataset Quality Information Virtual, 13 July 2020

About

Curating standards-based quality metadata and consistent quality descriptive information at the dataset level is fundamental for helping establish the credibility and trustworthiness of individual datasets and for providing sufficient guidance for users to address their specific needs, including machine learning. However, there are currently no community standards or guidelines on how to consistently curate and represent the dataset quality information that is machine- and human-readable.

ESIP Information Quality Cluster (IQC) and the Evaluation and Quality Control (EQC) Team of Barcelona Supercomputing Center (BSC) have co-organized a pre-ESIP workshop to bring together national and international subject matter experts on dataset quality to kick off the development of community guidelines for consistently curating and representing dataset quality information that is findable, accessible, interoperable, and reusable, aka, FAIR.

The Goals of This Workshop

• Examine needs for datasets quality information;
  
• Explore approaches for evaluating dataset quality in an operational environment;
  
• Discuss challenges for consistently curating and representing dataset quality information;
  
• Define the needs and scope of community guidelines.
  
  

Organizers of the Workshop

Information Quality Cluster (IQC) of Earth Science Information Partners (ESIP) and the Evaluation and Quality Control (EQC) Team of Barcelona Supercomputing Center (BSC).

Points-Of-Contact
Ge Peng, ESIP IQC and CISESS/NCSU; gpeng@ncsu.edu
Carlo Lacagnina, BSC; carlo.lacagnina@bsc.es

Organizing Committee
Ge Peng, Carlo Lacagnina, Robert Downs, Ivana Ivánová, Gilles Larnicol, David Moroni, Hampapuram “Rama” Ramapriyan, and Yaxing Wei.

Interested in Participating and Contributing
Please contact Ge Peng at gpeng@ncsu.edu.

Agenda

There will be two live virtual 90 minutes sessions on Monday July 13, 2020. The first session is scheduled for 9:00 AM – 10:30 AM US ET [UTC-4] (3:00 PM – 4:30 PM CEST [UTC+2]) and the second for 4:30 PM – 6:00 PM US ET [UTC-4] (6:30 - 8:00 AM AEST Tues July 14, 2020 [UTC+10]).

Time Allocation	Description
3 Mins	Welcome & Roll Call
5 Mins	Context & Goals of the Workshop
~48 Mins	Presentations (see the list for each session below the table)
8 Mins	Presentations Q&A
15 Mins	Break-out Rooms: Case Statement Review
10 Mins	Polling Questions & Path Forward

Presentations for the First Session
Presentation title; Presenter(s)/Affiliations

• ESIP Information Quality Cluster & Multi-dimensions of data and information quality; Ge Peng/NCSU, Hampapuram “Rama” Ramapriyan/SSAI, David Moroni/JPL, NASA
  
• Evaluation and Quality Control Function of C3S Climate Data Store; Carlo Lacagnina and Francisco Doblas-Reyes/BSC
  
• JPSS & Product Algorithm Maturity Matrix and Application; Mitch Goldberg and Lihang Zhou/JPSS, NOAA
  
• System Maturity and Application Performance for Climate Data Records; Jörg Schulz/EUMETSAT
  
• CEOS WGISS Data Management and Stewardship Maturity Matrix and Application at ESA; Mirko Albani/ESA and Iolanda Maggio/RHEA GROUP
  
• NOAA/NCEI Data Stewardship Maturity Assessment; Nancy Ritchey/NCEI, NOAA
  
  

Presentations for the Second Session
Presentation title; Presenter(s)/Affiliations

• ESIP Information Quality Cluster & Multi-dimensions of data and information quality; Hampapuram “Rama” Ramapriyan/SSAI, Ge Peng/NCSU, David Moroni/JPL
  
• Australia/New Zealand Data Quality Interest Group: scope and areas of interest; Ivana Ivánová/Curtin University
  
• NASA ESDSWG Data Quality Working Group; Yaxing Wei/ORNL, NASA
  
• GEOSS Data Management & Data Sharing Principles and TRUST: Implications for Data Quality; Robert Downs/CIESIN, NASA
  
• The High Quality Global Data Management Framework for Climate - Improving the Quality of Climate Data Management For Better Climate Monitoring; Christina Lief/WMO
  
• Why FAIR? Shelley Stall/AGU
  
  

Workshop Materials

• Dataset Quality Information Resources
  
• Second Circular Flyer
  
  

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