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Wednesday, July 22 • 11:30am - 1:00pm
Challenges of Consistently Curating and Representing FAIR Dataset Quality Information - IQC/BSC Pre-ESIP Workshop Report Out

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Curating standards-based 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 the Barcelona Supercomputing Center (BSC) have co-organized a pre-ESIP workshop to bring together national and international subject matter experts (SMEs) 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.

Invited presentations are utilized to help attendees gauge the complexity and multi-dimensions of dataset quality information as well as allow them to learn challenges and approaches of different domains in curating and representing the quality information through the full dataset life cycle. This Pre-ESIP workshop will boost progression of internationally endorsed methods and good practices for consistently curating and representing data quality information to end users.

We will report out the outcomes from this Pre-ESIP workshop to the ESIP community, focusing on the challenges. Additional presentations from the workshop attendees are also planned.

Agenda:

- Welcome & Roll Call
- Fun facts about the Pre-ESIP workshop
- Presentations (title, presenter, affiliation) - titles are to be finalized
-- Production of quality information at the Copernicus Marine Environment Monitoring Service (CMEMS), Marie Drevillon, Mercator Ocean International
-- National Climate Assessment Metadata Management, Sarah Champion, North Carolina State University
-- Interpreting and Applying the FAIR Principle Checks, Sophie Hou, Apogee Engineering/USGS
- Outcomes of the Pre-ESIP workshop
- Discussion

View Recording
View Session Notes
View Presentations: See Session Notes above

Takeaways
  • Guidelines should be created via an iterative process and with the feedback loop between funders, data producers, data users, and data managers.
  • We should produce guidance that is applicable across Earth and environmental science disciplines, with use cases - an actionable document instead of theoretical.
  • We need to think about facilitating long-term applicability, usability, understandability, and sustainability of such community guidelines.



Speakers
avatar for Bob Downs

Bob Downs

CIESIN
Dr. Robert R. Downs serves as the senior digital archivist and acting head of cyberinfrastructure and informatics research and development at CIESIN, the Center for International Earth Science Information Network, a research and data center of the Earth Institute of Columbia University... Read More →
avatar for Hampapuram “Rama” Ramapriyan

Hampapuram “Rama” Ramapriyan

Research Scientist, Subject Matter Expert, Science Systems and Applications, Inc.
avatar for Ge Peng

Ge Peng

Research Scholar, CISESS/NCEI
Dataset-centric scientific data stewardship, data quality management
SH

Sophie Hou

Data & Usability Analyst, Apogee Engineering/USGS
user-centered design (UI/UX) and data management/curation/stewardship: including but not limited to data life cycle, policies, sustainability, education and training, data quality, and trusted repositories.
avatar for David Moroni

David Moroni

Data Stewardship and User Services Team Lead, Jet Propulsion Laboratory, Physical Oceanography Distributed Active Archive Center
I am a Senior Science Data Systems Engineer at the Jet Propulsion Laboratory and Data Stewardship and User Services Team Lead for the PO.DAAC Project, which provides users with data stewardship services including discovery, access, sub-setting, visualization, extraction, documentation... Read More →
avatar for Yaxing Wei

Yaxing Wei

Scientist, Oak Ridge National Laboratory
avatar for Ivana Ivanova

Ivana Ivanova

Curtin University
few keywords describing my research interests: spatial data quality, fitness for use, metadata, standards, provenance
avatar for Sarah Champion

Sarah Champion

Research Scholar/Data Architect, North Carolina State University
As the Data Architect for NOAA's Technical Support Unit (TSU) for the National Climate Assessment (NCA), I am responsible for the NCA's compliance with the Information Quality Act (IQA) (data transparency and accessibility), Highly Influential Scientific Assessments (HISAs) (reproducibility... Read More →
CL

Carlo Lacagnina

Barcelona Supercomputing Center
avatar for Marie Drevillon

Marie Drevillon

product quality manager, Mercator Ocean International
Since 2009, I am responsible for the verification of ocean analyses and forecasts at Mercator Ocean. I also contribute to the coordination of scientific validation activities within the European Copernicus Marine Environment Monitoring Service.


Wednesday July 22, 2020 11:30am - 1:00pm
Room 1

Attendees (86)