Difference between revisions of "2019 InformationQuality Plan"

From Earth Science Information Partners (ESIP)
 
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** OGC Data Quality Working Group
 
** OGC Data Quality Working Group
 
** CEOSS Working Group on Information Systems and Services (WGISS)
 
** CEOSS Working Group on Information Systems and Services (WGISS)
 +
** Expert Team of Data Development and Stewardship of WMO Commission for Climatology
 +
** RDA FAIR Data Maturity Assessment Model Working Group
 
* Identify additional needs for consistently capturing, describing, and conveying quality information  
 
* 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
 
* Establish and provide community-wide guidance on roles and responsibilities of key players and stakeholders including users and management

Latest revision as of 18:08, October 16, 2018

ESIP Collaboration Area Strategic Plan 2019

  • Co-Chair (s): H. K. (Rama) Ramapriyan, David Moroni, Ge Peng
  • Website (wiki): Information Quality Cluster wiki
  • Monthly Meeting Day/Time: 2nd Tuesday at 11:00 AM ET/8:00 AM PT

ESIP IQC Vision

To become internationally recognized as an authoritative and responsive resource of information and guidance to data providers on how best to implement data quality standards and best practices for their science data systems, datasets, and data/metadata dissemination services.

2015-2020 Strategic Plan Goals

  • 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
  • Build framework for consistent capture, harmonization, and presentation of data quality for the purposes of climate change studies, Earth science and applications

Resources:

Collaboration Area Plan

Collaboration Area Objective:

  • Identify and engage other ESIP clusters for synergistic knowledge exchange, discoveries and establishment of standards and best practices.
  • Identify and engage outside institutions, agencies, and working groups for a more expansive knowledge-base and mutual-promotion of standards and best practices.
  • Improve capture, description, discovery, and usability of information about data quality in Earth science data products.
  • Ensure producers of data products are aware of standards and best practices for conveying data quality, and data providers/distributors/intermediaries establish, improve and evolve mechanisms to assist users in discovering and understanding data quality information.
  • Consistently provide guidance to data managers and stewards on how best to implement data quality standards and best practices to ensure and improve maturity of their datasets.

Things we may do to fulfill our objectives:

  • Coordinate use case studies with broad and diverse applications, collaborating with the ESIP Data Stewardship Committee and various national and international programs
  • Engage (or Maintain relationship) with and identify mutually beneficial collaborative opportunities with:
    • NASA Earth Science Data Systems Working Groups (ESDSWG)
    • OGC Data Quality Working Group
    • CEOSS Working Group on Information Systems and Services (WGISS)
    • Expert Team of Data Development and Stewardship of WMO Commission for Climatology
    • RDA FAIR Data Maturity Assessment Model Working Group
  • 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 Earth Science Data System Working Groups (ESDSWG) Data Quality Working Group(DQWG) recommendations and propose possible implementations.
  • Establish a baseline of standards and best practices for data quality, collaborating with other ESIP clusters (e.g., Documentation, Usability and EnviroSensing) and Earth Science agencies.
  • Engage data providers, data managers, and data user communities as resources to improve our standards and best practices.
  • Invite experts to speak at cluster meetings/telecons.
  • Provide an active learning space for specific sub-groups to coalesce around key themes of data quality consisting of relevant subject matter experts devoted to identifying new challenges as well as providing more in-depth information on existing solutions to meet those challenges.
  • Publish papers on topics related to Earth science data and information quality.
  • Lead and/or participate in sessions on information quality at Earth science related conferences (e.g., AGU, International Data Week, AMS).

Things our collaboration area needs to deliver our objectives?

  • Active participation by cluster members from multiple agencies (e.g., NASA, NOAA, USGS)
  • Connections with international partners
  • Support from a student fellow interested in the IQC activities
  • Occasional assistance in trouble-shooting

How will we know we are on the right track?

  • Participation in monthly telecons and responses to action items by interested members
  • Progress towards established goals such as developing white papers, conference presentations, etc.
  • Maintaining an actively evolving wiki site with reference materials

How will others know what we are doing in & out of ESIP?

  • We organize sessions and make presentations at conferences
  • Members from different agencies convey information on the IQC activities to their respective agencies

Cross-collaboration area connections

(Identify other areas that you consider cross collaboration. Are there things that you need us to provide in support the cross collaboration?)

  • ESIP Data Stewardship Committee - IQC is an off-shoot of the Data Stewardship Committee with significant overlap in membership
  • ESIP Documentation Cluster - Commonality of interests about documenting information about data quality, and the pertinent standards
  • ESIP Discovery Cluster - Facilitating discovery of information data quality would be very relevant to end-users.
  • ESIP Usability Cluster - Presentation of information quality in a usable manner is important for end users of science data
  • NASA Earth Science Data Working Groups - significant overlap in interest