TWC Collaborator

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Christopher Lynnes

Dr. Christopher Lynnes began his career as a researcher in forensic seismology working largely on DARPA contracts. During this time, he co-led development of a National Data Center system for collecting and analyzing seismology data from underground nuclear tests.

This path eventually led him to pursue data systems for global change data at NASA. He began as a software development lead for the contractor on the Goddard Version 0 Distributed Active Archive Center, transitioning to Chief Systems Engineer on the government side in 1994. Since then, he has worked on a variety of applications and systems, including science data processing, data archive, data search and visualization systems.

Publications:

Presentations:
Lynnes, C., Hoebelheinrich, N., West, P., & Ferritto, M. (July 11, 2014). ToolMatch Service: Finding Tools for Your Data And Data for Your Tools. In: ESIP Summer Meeting 2014
Hoebelheinrich, N., Lynnes, C., Ferritto, M., & West, P. (July 6, 2014). Finding a ToolMatch for your Data Collection. In: DataONE User Group Meeting 2014 at ESIP Summer Meeting 2014ESIP Summer Meeting 2014
West, P., Hoebelheinrich, N., Fox, P., & Lynnes, C. (January 9, 2014). ToolMatch: Discovering What Tools can be used to Access, Manipulate, Transform, and Visualize Data. In: ESIP Winter Meeting 2014
West, P., Hoebelheinrich, N., Lynnes, C., & Fox, P. (January 8, 2014). ToolMatch: Discovering What Tools can be used to Access, Manipulate, Transform, and Visualize Data. In: ESIP Winter Meeting 2014
Hoebelheinrich, N., West, P., Fox, P., & Lynnes, C. (December 13, 2013). Discovering accessibility, display, and manipulation of data in a data portal. In: AGU Fall Meeting 2013
Zednik, S., Leptoukh, G., Lynnes, C., & Fox, P. (April 26, 2012). A Quality Label Presentation of Product Quality for Aerosol Satellite Data Products. In: European Geosciences Union General Assembly 2012
Lynnes, C., Olsen, E., Fox, P., Vollmer, B., & Wolfe, R. (March 9, 2012). A Data Quality Screening Service for Remote Sensing Data - Annual Review 2012.
Zednik, S., Leptoukh, G., Fox, P., Lynnes, C., West, P., & Ahmad, S. (December 6, 2011). A Semantic Representation of Product Quality and Evidence for Satellite Data. In: AGU Fall Meeting 2011
Leptoukh, G., Lynnes, C., Fox, P., Ahmad, S., Pan, J., Zednik, S., & West, P. (June 23, 2011). Addressing and Presenting Quality of Satellite Data via Web-based Services. In: Earth Science Technology Forum 2011
Zednik, S., Leptoukh, G., Fox, P., Lynnes, C., & Pan, J. (April 8, 2011). Experiences Developing a User-centric Presentation of Provenance for a Web-based Science Data Analysis Tool. In: EGU General Assembly 2011
Zednik, S., Lynnes, C., Fox, P., Leptoukh, G., & Pan, J. (December 13, 2010). A Semantic Provenance-aware Expert Advisory System in a Web-based Science Data Analysis Tool. In: AGU Fall Meeting 2010
Chang, C., Zednik, S., Lynnes, C., Fox, P., McGuinness, D., Leptoukh, G., & Pan, J. (December 13, 2010). Experiences Developing A User-centric Presentation of A Domain-enhanced Provenance Data Model. In: AGU Fall Meeting 2010

Project PI

DQSSData Quality Screening Service (DQSS)
Principal Investigator: Christopher Lynnes
Co Investigator: Peter Fox, Ed Olsen, Bruce Vollmer, and Robert Wolfe
Description: Objective Make data quality information easy to use for the water cycle community Expert and non-specialist users alike Human and machine users alike Connect users seamlessly to best practices in data quality handling, i.e., the science team recommendations for quality screening (filtering) Enable higher and more correct utilization of data quality indicators in data analysis

Project CO-PI

AeroStat (AeroStat)
Principal Investigator: Greg Leptoukh
Co Investigator: Peter Fox and Christopher Lynnes
Description: Objective Provide online environment for convenient access to: Satellite and ground-based aerosol data Quality information and provenance Calibration/validation data Provide multi-sensor services: Multi-sensor and model intercomparison Cross-sensor bias adjustment Data merging Create collaborative environment for aerosol researchers to share ideas, workflows and results

Project Collaborator

ToolMatch LogoToolMatch (ToolMatch)
Description: or a given dataset, it is difficult to find the tools that can be used to work with the dataset. In many cases, the information that Tool A works with Dataset B is somewhere on the Web, but not in a readily identifiable or discoverable form. In other cases, particularly more generalized tools, the information does not exist at all, until somebody tries to use the tool on a given dataset. Thus, the simplest, most prevalent use case is for a user to search for the tools that can be used with a given dataset. A further refinement would be to specify what the tool can do with the dataset, e.g., read, visualize, map, analyze, reformat.