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Information Quality Cluster - Introduction

This article introduces the objectives and activities of the ESIP Information Quality Cluster, which aims to assess and improve the quality of Earth science data. It highlights the cluster's efforts in establishing standards, providing guidance to data providers, and collaborating with various programs. The article also outlines the session topics and activities, including use case development and breakout groups.

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Information Quality Cluster - Introduction

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  1. Information Quality Cluster - Introduction H. K. (Rama) Ramapriyan Science Systems and Applications, Inc. & NASA Goddard Space Flight Center David Moroni Jet Propulsion Laboratory, California Institute of Technology Ge Peng North Carolina State University January 8, 2016

  2. ESIP Information Quality Cluster - Objectives • Bring together people from various disciplines to assess aspects of quality of Earth science data • Establish and publish baseline of standards and best practices for data quality for adoption by inter-agency and international data providers • Become an authoritative and responsive resource of information and guidance to data providers on how best to implement certain data quality standards and best practices for their datasets • Build framework for consistent capture, harmonization, and presentation of data quality for the purposes of climate change studies, Earth science and applications • (Objectives evolve with participant inputs)

  3. ESIP Information Quality Cluster Activities • Coordinate use case studies with broad and diverse applications, collaborating with the ESIP Data Stewardship Committee and various national and international programs • Identify additional needs for consistently capturing, describing, and conveying quality information • Establish and provide community-wide guidance on roles and responsibilities of key players and stakeholders including users and management • Prototype innovative ways of conveying quality information to users • Evaluate NASA ESDSWG DQWG recommendations and propose possible implementations. • Establish a baseline of standards and best practices for data quality, collaborating with the ESIP Documentation Cluster and Earth Science agencies. • Engage data providers, data managers, and data user communities as resources to improve our standards and best practices.

  4. Session 1 • Introduction – Ramapriyan – 10* • NASA Data Quality Working Group (DQWG) Update – Moroni – 10 • DQWG Data System Integration Committee – Downs – 10 • NOAA Stewardship Maturity Matrix Update – Peng – 10 • Use Case Development Tutorial – Moroni – 40 • Discussion/Preparation for follow-on session – 10

  5. Session 2 • Introduction - H. K. Ramapriyan – 5* • Identification of use cases – All – 10 • Breakout for developing use cases – Bob Downs – 5 • Develop use cases in small groups – All – 55 • Report Back to full group – one from each group – 15

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