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Data Help Desk Schedule (AGU 2022; Exhibit Hall Booth #1901)
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Don't forget to check out the other Data Fair events at https://esipfed.org/DataHelpAGU22
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DayDateStartEndData Reference Desk TopicData Reference Desk LeadData Reference Desk Lead InstitutionData Help Desk DemoData Help Desk Demo PresenterData Help Desk Presenter InstitutionOpen Science Workshop or Resource Demo (big space) PresenterTopic TitleDescriptionData Help Desk Presenter Institution
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Monday12/12/2215:0017:00Data Management and ArchivingKen CaseyNOAA National Center for Environmental Informationearthaccess: Python library to programmatically access NASA dataLuis LopezNational Snow and Ice Data Center (NSIDC)15:00Mia Ricci, AGU PublicationsNavigating Open Data, Open Access, and Funding Options, presented by Mia Ricci, AGU Publications
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15:30Jenny Lunn
Open Means Understandable: Writing An Effective Plain Language Summary About Your Article, presented by Jenny Lunn, AGU Publications
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16:00Micaela Parker
The Ethos Lifecycle: Operationalizing ethics in data science, presented by Micaela Parker
The data science lifecycle model is a ubiquitous framework for describing the stages of research in a typical data science project. While helpful for illustrating parts of the research process, lifecycle workflows almost universally omit ethical considerations and societal contexts. By abstracting away the broader societal contexts, these lifecycle models do not adequately capture the way in which data scientists think, and the kinds of questions they must address while doing real world data science work. With the Data Science Ethos Lifecycle, we are addressing this need for a data science framework that includes explicit societal contexts and makes questions of social good actionable. The result is a more true-to-life model of the data science lifecycle that shows how societal questions are a constitutive part of the day-to-day work of a data scientist.
Academic Data Science Alliance
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16:30
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Monday12/12/2217:0018:00Data Repositories, Programming Language (Mathematica), Data Visualization and Analysis, Open Data Access and Principles, Early Career Advice, Atmospheric Chemistry data, Zero dimensional Box Modeling (Atmospheric Chemistry Models)Colleen RosalesOpenAQIntroduction to Data Access and Services at the NASA GES DISCJames AckerNASA GES DISC/ Adnet Inc.17:00
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Tuesday12/13/2210:0012:00General Data Management, General Cloud Computing, Data Quality Assurance, Persistent Identifiers, Seismic Data Access, Software DevelopmentRob CaseyIRISHydroShare, Critical Zone Data PortalMartin SeulCUAHSI10:00Shelley Stall
Data Citation Primer -- A must have if you are publishing soon! presented by Shelley Stall
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10:30Mark Parsons, James GallagherHow and why to cite data and software (in AGU journals), presented by Mark Parsons and James Gallagher
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11:00
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11:30Micaela ParkerThe Ethos Lifecycle: Operationalizing ethics in data science, presented by Micaela Parker
data science 
The data science lifecycle model is a ubiquitous framework for describing the stages of research in a typical data science project. While helpful for illustrating parts of the research process, lifecycle workflows almost universally omit ethical considerations and societal contexts. By abstracting away the broader societal contexts, these lifecycle models do not adequately capture the way in which data scientists think, and the kinds of questions they must address while doing real world data science work. With the Data Science Ethos Lifecycle, we are addressing this need for a data science framework that includes explicit societal contexts and makes questions of social good actionable. The result is a more true-to-life model of the data science lifecycle that shows how societal questions are a constitutive part of the day-to-day work of a data scientist.
Academic Data Science Alliance
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Tuesday12/13/2212:0014:00General Data Management, Data Best Practices, Data Architecture, Data Management PlansBruce WilsonOak Ridge National Laboratory Distributed Active Archive Center12:00
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13:00Pranoti AsherData Management and my Career, presented by Pranoti AsherToday’s geoscience employers are interested in hiring individuals with not only science expertise but also those who have experience in many of the power of soft skills. Come learn or share why experience or knowledge in data management can help your career.
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13:30AGU
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Tuesday12/13/2214:0016:00General Data Management, Model Data ManagementDoug SchusterNCARData Access, Discovery, SubsettingMichelle ThorntonOak Ridge National Laboratory Distributed Active Archive Center14:00Julia Parrish
At the intersection of open data and community science, presented by Julia Parrish
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14:30Ben Bond-LambertyGetting started with reproducible documents in R, presented by Ben Bond-Lamberty
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15:00Ben Bond-Lamberty
Effective, efficient, and fair peer reviewing, presented by Ben Bond-Lamberty
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15:30Mia Ricci, AGU Publications
AGU Pubs - Diversity Equity Inclusion and Accesibility, presented by Mia Ricci, AGU Publications
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Tuesday12/13/2216:0018:00Community Management, General Data Management, Data Repositories, Data Management Plans, Data Publication, MetadataMegan Carter OrlandoEarth Science Information Partners (ESIP)Ocean Data, AWS, Argo Data & MoreSteve DiggsScripps Institution of Oceanography16:00
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Wednesday12/14/2210:0012:00General Data Management, Metadata, PIDs, DMPs, Software/Data Carpentries, USGS ScienceBaseMadison LangsethU.S. Geological SurveyHeliophysics Data and Open ScienceRyan McGranaghanNASA Center for HelioAnalytics10:00Shelley StallSoftware Citation Primer -- Get prepared for publication! presented by Shelley Stall
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10:30Mark Parsons, James GallagherHow and why to cite data and software (in AGU journals), presented by Mark Parsons and James Gallagher
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11:00
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11:30
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Wednesday12/14/2212:0014:00OpenAQ Air Quality DatabaseChris HagerbaumerOpenAQOpenAQ Air Quality DatabaseColleen RosalesOpenAQ12:00Kerstin Lehnert & Saebyul ChoePhysical Samples: Identifiers, Citation, Metadata and more with SESAR and the IGSN, presented by Kerstin Lehnert & Saebyul Choe
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Wednesday12/14/2214:0016:00Data ethics, General Data Management, Arctic data issuesNatasha Haycock-ChavezArctic Data CenterCLIVAR and Carbon Hydrographic Data Office (CCHDO)Karen StocksScripps Institution of Oceanography14:00
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14:30Kendal MorrisOpen science meta-analysis: easier than you think, presented by Kendal MorrisSharing my initial experience in fully open and community-reproducible science
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15:00
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15:30Billy WilliamsDEI in the Earth and Space Sciences: Progress and Opportunities – Perspective from the Front-Lines, presented by Billy Williams, AGU
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Wednesday12/14/2216:0018:00General Data Management, Information Management, Metadata, Data Repositories, Programming, Data Publication, Data Visualization, Data Analysis, Data Management Plans, Python PackagingJake GearonIndiana University BloomingtonNASA Astrophysics Data System (ADS) (including extending to all NASA Science Mission Directorate Disciplines)Alberto AccomazziHarvard-Smithsonian Center for Astrophysics16:00Shelley StallWorking Openly as a Team, presented by Shelley Stall, AGU Open Science Leadership
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Thursday12/15/2210:0012:00General Data Management, Data Repositories, Data Management Plans, Data Publication, Ocean Data Best Practices, MetadataDanie KinkadeBiological and Chemical Oceanography Data Management Office (BCO-DMO)Data Management, Data Repositories, Hydrologic data, HydroShareClara CogswellCUAHSI10:00Shelley StallDigital Presence, presented by Shelley Stall, AGU Open Science Leadership
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11:00Jenny Lunn
Open Means Understandable: Writing An Effective Plain Language Summary About Your Article, presented by Jenny Lunn, AGU Publications
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Thursday12/15/2212:0013:00General Data Management (especially Ocean Data), Amazon Web Services, Argo Data & moreSteve DiggsScripps Institution of OceanographyUSAP-DC, Antarctic Data, Marine Seismic Data, Bathymetry DataFrank NitscheColumbia University12:30
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