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Welcome to the Summer Meeting for the Earth Science Information Partners (ESIP)! The 2017 theme is Strengthening Ties Between Observations and User Communities. The theme is based on one of the goals in the 2015 - 2020 ESIP Strategic Plan, which provides a framework for ESIP’s activities over the next three years.
  • Check out the full 2017 Summer Meeting Guide here -> http://bit.ly/ESIP_Sum_Guide_2017
  • Find a map if the Indiana Memorial Union HERE.
  • There will be lots going on in Slack during the meeting, find your invite HERE. #summer_mtg

Miss the plenary? Click here to check it out!
Wednesday, July 26 • 2:00pm - 3:30pm
Scientific Data Quality - Information Quality Cluster

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This session is intended to follow the plenary session (http://sched.co/As6G) on Scientific Quality (which has a special focus on data uncertainty). The purpose of the session is to continue discussion initiated during the plenary session inspired by the invited panelists’ presentations from the earlier plenary session and to foster more of a collaborative interchange of technical information intended to help advance the Scientific Quality of Earth science data and to discuss effective ways to communicate uncertainty to a boarder community. This session will feature an additional invited speaker who will join the plenary speakers to facilitate this discussion to provide even more diversity of opinion and expertise on the subject matter (relative to the plenary) to facilitate active participants who wish to dive deeper into technical discussion.
By way of background, the Information Quality Cluster has formally defined information quality as a combination of the following four aspects of quality, spanning the full life cycle of data products: 1. Scientific quality defined in terms of accuracy, precision, uncertainty, validity and suitability for use (fitness for purpose); 2. Product quality that takes the following into account: the degree to which the scientific quality is assessed and documented; how accurate, complete and up-to-date the metadata and documentation are; the manner in which the data and metadata are formatted; the degree to which the associated information is published and traceable throughout the data lifecycle; 3. Stewardship quality addressing questions such as how well data are being managed, preserved, and made accessible; and 4. Service quality that deals with how easy it is for users to discover, get, understand, trust, and use a given data product along with its metadata, as well as ensuring that an archive has the requisite knowledge base and people functioning as subject matter experts available to help its data users.
The focus of this session is on scientific quality, and especially on uncertainty. In the preceding plenary session, a panel of invited speakers from a variety of Earth science disciplines will have addressed questions such as: How is uncertainty determined and characterized in the products of their research or application? What are the major side effects and limitations of common statistical techniques used to quantify and characterize uncertainty? Do advanced computing techniques such as quantum computing and neural networks offer any significant advantage over traditional techniques for quantifying and characterizing uncertainty? What is the impact of uncertainty on the quality of their data products? How is data uncertainty accounted for when multiple sources of data are spliced and woven into a single product? How do they document and convey the information about uncertainty to other scientific users? What is the best way of conveying uncertainty to (possibly skeptical) public?
This session provides for more discussion with the panelists and other practitioners in scientific data generation, Scientific Quality assessment, and management. The discussion is expected to help identify issues pertaining to understanding, capturing and conveying uncertainty and to recommend actions that the Earth science data community can readily act upon to ensure and improve the overall Scientific Quality of their datasets.

Speakers | Moderators
avatar for David Moroni

David Moroni

System Engineer, JPL PO.DAAC
David is an Applied Science Systems Engineer with nearly 15 years of experience at the Jet Propulsion Laboratory (JPL) working on a plethora of projects and tasks in the realm of cross-disciplinary Earth Science data, informatics and open science platforms. Relevant to this particular... Read More →
avatar for Ge Peng

Ge Peng

Research Scholar, CISESS/NCEI
Dataset-centric scientific data stewardship, data quality management
avatar for H. K. “Rama” Ramapriyan

H. K. “Rama” Ramapriyan

Research Scientist, Subject Matter Expert, Science Systems and Applications, Inc.

Wednesday July 26, 2017 2:00pm - 3:30pm MDT
1 - Dogwood
  Dogwood, Breakout Session