Difference between revisions of "IQ Presentations"
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==<big>'''Invited Presentations from monthly telecons:'''</big>== | ==<big>'''Invited Presentations from monthly telecons:'''</big>== | ||
+ | * February 13, 2018 - Allison Baer,Melissa A. Kenney, and Michael D. Gerst, University of Maryland, College Park, Earth System Science Interdisciplinary Center and Cooperative Institute for Climate and Satellites-Maryland "Diagnosing Understandability Challenges in NOAA Climate Prediction Center's Temperature and Precipitation Outlooks" - please contact aebaer@umd.edu to request presentation slides. Visualization Guidance that the authors created as technical input for the 4th U.S. National Climate Assessment can be found at [http://www.umdindicators.org/?page_id=1028 NCA4 Visualization Guidance] | ||
* October 20, 2017 - Lucy Bastin, Aston University and Joint Research Centre of the European Commission - [[File:LBastin ESIP quality telecon slides.pdf]] | * October 20, 2017 - Lucy Bastin, Aston University and Joint Research Centre of the European Commission - [[File:LBastin ESIP quality telecon slides.pdf]] | ||
* July 11, 2017 - Mark Reese, Element 84 and NASA ESDIS Project - [[File:Earthdata-Search-Information-Quality- Mark Reese - 20170711.pptx]] | * July 11, 2017 - Mark Reese, Element 84 and NASA ESDIS Project - [[File:Earthdata-Search-Information-Quality- Mark Reese - 20170711.pptx]] |
Revision as of 11:20, February 14, 2018
Invited Presentations from monthly telecons:
- February 13, 2018 - Allison Baer,Melissa A. Kenney, and Michael D. Gerst, University of Maryland, College Park, Earth System Science Interdisciplinary Center and Cooperative Institute for Climate and Satellites-Maryland "Diagnosing Understandability Challenges in NOAA Climate Prediction Center's Temperature and Precipitation Outlooks" - please contact aebaer@umd.edu to request presentation slides. Visualization Guidance that the authors created as technical input for the 4th U.S. National Climate Assessment can be found at NCA4 Visualization Guidance
- October 20, 2017 - Lucy Bastin, Aston University and Joint Research Centre of the European Commission - File:LBastin ESIP quality telecon slides.pdf
- July 11, 2017 - Mark Reese, Element 84 and NASA ESDIS Project - File:Earthdata-Search-Information-Quality- Mark Reese - 20170711.pptx
- June 13, 2017 - Nicholas Car, Geoscience Australia - File:2017-06-13 Car - Data Fitness Reuse Assessment Using Provenance for EarthCube.pptx.
- To view/listen to recording of the session, go to Sharefile Login, and login using guest@esipfed.org with password: Earth111. Then look for file called 2017-06-13 07.58 Information Quality.mp4
- May 9, 2017 - Michael Diepenbroek, PANGEA - Assessment of Data Fitness for Use
- April 11, 2017 - Aaron Friesz, Land Processes Distributed Active Archive Center - File:Demystifying MODIS Quality Data - Friesz - 20170411.pdf
Oral and Poster Presentations from Conferences/ESIP Meetings:
- 2018-01-11: ESIP Winter 2018 Meeting
- Session Notes
- Formulation of a White Paper on Earth Science Data Uncertainty - Breakout Session
- David Moroni, Ge Peng and H. K. Ramapriyan - Introduction File:Moroni et al - iqc uncertainty whitepaper intro - Jan 2018.pptx
- Jonathan Hobbs - Statistical Foundations for Representing Uncertainty in Earth Science Data Records - File:Hobbs ESIP 20180111.pdf
- Jessica Matthews - Earth Science Data Uncertainty from the Application Perspective - File:Matthews esip2018.pptx
- Robert Wolfe - Characterizing, Quantifying, and Applying Uncertainty in Earth Science Measurements - File:Wolfe - ES Meas Uncert - ESIP Jan 2018.pptx
- Information Quality - Progress on Many Fronts
- H. K. Ramapriyan,Ge Peng and David Moroni - Introduction - File:IQC Introduction - Ramapriyan 20180111.pptx
- Yaxing Wei - NASA’s Data Quality Working Group - File:Wei et al - 2018-01-11.ESDSWG.DQWG.Update.v2.pptx
- Robert Downs - Data Quality Metrics for Socio-Economic Data - File:DownsDataQualityMetricsSocioeconomicData20180111.pdf
- Ge Peng - Data Stewardship Maturity Matrix (DSMM) – Application Update File:GePeng DSMM ESIP 20180111.pptx
- Robert Downs - Progress of the WDS/RDA Working Group on Assessment of Data Fitness File:DownsProgressWGAssessmentDataFitness20180111.pdf
- Rebecca Koskela & DataONE Team - DataONE Quality Assurance - File:Koskela et al - DataONE Quality Assurance.pptx
- 2017-07-26: ESIP Summer 2017 Meeting
- Scientific Quality - Plenary Session Presentations on Figshare
- Video recording - [1]
- Clayson, Carol Anne (WHOI) - Information about the data is as important as the data itself File:Clayson - ESIP July 2017 plenary.pptx
- Braverman, Amy (JPL) - Data uncertainty: what is it, where does it come from, and why should we care? File:Braverman -ESIP July 2017 Plenary.pdf
- Simpson, Isla (NCAR) - The challenges of evaluating global climate models with the limited observational record File:Simpson-ESIP July 2017 plenary.pptx
- Notes [2]
- Scientific Data Quality - Information Quality Cluster - breakout session Presentations on Figshare
- Ramapriyan H. K., Ge Peng and David Moroni - Information Quality Cluster - Fostering Collaborations (Introduction) File:IQC Introduction - Ramapriyan.pptx
- Plumlee, Matthew (Northwestern Univ.) - Bridging the gap between data and models File:Plumlee - ESIP 2017 - IQC breakout.pdf
- Moroni, David - Key Points from Plenary Session File:Key points from plenary 26jul2017-Moroni.pptx
- Notes: [3]
- Ramapriyan H. K., David Moroni and Ge Peng - Ensuring and Improving Information Quality for Earth Science Data and Products: ESIP Information Quality Cluster (Poster) File:Iqc summer2017esip poster 20170707.pdf
- 2017-01-11: Moroni, Ramapriyan and Peng - ESIP IQ Cluster Poster for ESIP Winter Meeting 2017 File:Iqc winter2017esip poster final.pdf
- 2017-01-09: ESIP Winter 2017 Meeting
- Information Quality Cluster - Fostering Collaborations - Ramapriyan, Peng and Moroni File:Iqc fosteringcollaborations 9jan2017-Rama.pptx
- Agricultural Research Perspectives - Jeffrey D. Campbell File:Info Quality Panel Jan 1017 Campbell.pptx
- ESIP Disasters Lifecycle Cluster and Information Quality - Karen Moe File:ESIP Disasters Lifecycle Clusterand Information Quality v1.docx
- CEOS Land Product Validation: Overview and Goals - Pierre Guillevic, Miguel Román, Fernando Camacho de Coca, Jaime Nickeson, Zhuosen Wang, & Christopher Justice File:Guillevic LPV Status ESIP2017.pptx
- Obs4MIPS - Robert Ferraro File:Ferraro - ESIP 20170112.pptx
- 2016-12-15: Ge Peng, H. K. Ramapriyan and David Moroni, The State of Building a Consistent Framework for Curation and Presentation of Earth Science Data Quality, Presented at AGU Fall Meeting File:Peng etal AGU 2016Fall Final v2 20161206.pdf
- 2016-09-12: Ensuring and Improving Information Quality for Earth Science Data and Products – Role of the ESIP Information Quality Cluster, Presented at SciDataCon 2016, Denver, CO File:IQC Paper - SciDataCon - Ramapriyan - 20160909.pptx
- Wei Y, Moroni DF, Ramapriyan HK, Downs RR, Khalsa SJS, Scott D (2016) Data Quality Standards and Practices across Agencies [Poster]. SciDataCon 2016, Denver, CO 11-13 September 2016. Available Online
- 2016-06-20: ESIP IQ Cluster Poster for ESIP Summer Meeting 2016 Media: ESIP IQ Cluster Poster - 20160620.pdf
- 2016-01-08: ESIP Winter Meeting 2016
- Information Quality Cluster Introduction - Presentation by H. K. "Rama" Ramapriyan(File:Information Quality Cluster - Introduction.pptx)
- Data Stewardship Maturity Matrix (DSMM) Update - Presentation by Ge Peng (File:GePeng DSMM Update ESIP2016Winter v2.0.pptx)
- Data System Integration Committee of the Earth Science Data System Working Group (ESDSWG) on Data Quality - Presentation by Bob Downs (File:DownsESDSWGonDQ.pptx)
- NASA Data Quality Working Group (DQWG) Update - Presentation by David Moroni (File:Esip 2016 winter iqc dqwg final.pptx)
- Link to Data Quality Use Case Submission Form
- 2015 Fall AGU Meeting Presentations/Posters:
- Ramapriyan, H. K., Ge Peng, David Moroni, "Improving Information Quality for Earth Science Data and Products – An Overview", Paper #IN14A-01 - Presented at Fall AGU Meeting, San Francisco, December 14, 2015 File:Information Quality - Overview-20151125.pptx
- Downs Robert R., Ge Peng G, Yaxing Wei, H. K. Ramapriyan, David Moroni, "Enabling the Usability of Earth Science Data Products and Services by Evaluating, Describing, and Improving Data Quality throughout the Data Life-cycle". Paper #IN14A-2 - Presented at Fall AGU Meeting, San Francisco, CA 14-18 Dec 2015. [[
- 2015-07-17, 8:30 - 10:00 AM: Asilomar Summer 2015 Meeting - Agenda, Minutes and Presentations
- 2014-07-08, 11:00AM - 12:30PM: Frisco Summer 2014 Meeting - Agenda, Minutes and Presentations
Pre-2012 Presentations
- Chris Lynnes (GSFC) "Ambiguity of Quality", Fall AGU 2010
- Fall AGU 2010 Level 3 data quality by Leptoukh ppt
- EGU 2011 Experiences Developing a Semantic Representation of Product Quality, Bias, and Uncertainty for a Satellite Data Product by West/Leptoukh ppt
- Franz_aslo_2011 by Franz ppt
- Barry Weiss (JPL) "Quality_Elements_in_SMAP_ISO_metadata"
Information Quality Presentation Slides from July 12-15, 2011 ESIP Summer Meeting, Santa Fe, NM
- Greg Stensaas, USGS: CEOS WGCV QA
- George J. Huffman, NASA/GSFC: Data Quality in Global Precipitation Estimation
- Glenn K. Rutledge, NOAA: Project Manager"NOMADS and NCMP: Data Quality Considerations from a Data Service Provider
- Greg Stensaas, USGS, Chair of CEOS Working Group on Calibration and Validation: QA4EO - A Quality Assurance Framework for Earth Observation
- Kerstin Lehnert, Integrated Earth Data Applications: Data Quality - A Science Community Perspective -
- Kerstin Lehnert, Integrated Earth Data Applications: Data Quality - Geochemistry as an example for small data science
- Ed Armstrong, SST data quality from GHRSST
- Greg Leptoukh, NASA/GSFC: Addressing and Presenting Quality of Satellite Data
- Luca Cinquini, JPL: CMIP5 Quality Assessment Procedure
- Nick Mangus, US EPA: Regulatory Perspectives on Data Quality
- Sean Fox, SERC, Carleton College: Data Quality and Education
- Ted Habermann, NOAA/NESDIS/NGDC: Documenting Data Quality / Summary
- Ted Habermann, NOAA/NESDIS/NGDC: Documenting Data Quality / ISO
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