Difference between revisions of "Pre-ESIP Workshop"
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<big><center>Virtual, 13 July 2020</center> </big><br> | <big><center>Virtual, 13 July 2020</center> </big><br> | ||
| − | + | = 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. <br> | 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. <br> | ||
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. <br><br> | 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. <br><br> | ||
| − | + | = The Goals of This Workshop = | |
| − | * Examine | + | * Examine needs for datasets quality information; <br> |
* Explore approaches for evaluating dataset quality in an operational environment; <br> | * Explore approaches for evaluating dataset quality in an operational environment; <br> | ||
* Discuss challenges for consistently curating and representing dataset quality information; <br> | * Discuss challenges for consistently curating and representing dataset quality information; <br> | ||
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Ge Peng, Carlo Lacagnina, Robert Downs, Ivana Ivánová, Gilles Larnicol, David Moroni, Hampapuram “Rama” Ramapriyan, and Yaxing Wei. <br><br> | Ge Peng, Carlo Lacagnina, Robert Downs, Ivana Ivánová, Gilles Larnicol, David Moroni, Hampapuram “Rama” Ramapriyan, and Yaxing Wei. <br><br> | ||
| − | + | = Agenda = | |
There will be two live virtual sessions on Mon July 13, 2020. Each session lasts about 90 mins. The first session is currently scheduled to be 9:00 AM – 10:30 AM US ET [UTC-4] (3:00 PM – 4:30 PM CEST [UTC+2]) and the second: 4:30 PM – 6:00 PM US ET [UTC-4] (6:30 - 8:00 AM AEST Tues July 14, 2020 [UTC+10]). <br><br> | There will be two live virtual sessions on Mon July 13, 2020. Each session lasts about 90 mins. The first session is currently scheduled to be 9:00 AM – 10:30 AM US ET [UTC-4] (3:00 PM – 4:30 PM CEST [UTC+2]) and the second: 4:30 PM – 6:00 PM US ET [UTC-4] (6:30 - 8:00 AM AEST Tues July 14, 2020 [UTC+10]). <br><br> | ||
The agenda is forthcoming. <br><br> | The agenda is forthcoming. <br><br> | ||
Revision as of 14:22, June 14, 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 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.
Agenda
There will be two live virtual sessions on Mon July 13, 2020. Each session lasts about 90 mins. The first session is currently scheduled to be 9:00 AM – 10:30 AM US ET [UTC-4] (3:00 PM – 4:30 PM CEST [UTC+2]) and the second: 4:30 PM – 6:00 PM US ET [UTC-4] (6:30 - 8:00 AM AEST Tues July 14, 2020 [UTC+10]).
The agenda is forthcoming.
Workshop Materials
Dataset Quality Information Resources
Interested in Participating and Contributing
Please contact Ge Peng at gpeng@ncsu.edu.
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