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Organization HDF Update NOAA NIDIS NOAA CLASS Data Center Paradigm NOAA CLASS API - SNAAP NOAA Data Management Evolution NOAA Metadata: One Size Does Fit

Identifying trusted data sources for decision makers to test Refining the evolution of the Operational Readiness Levels (ORLs) for trusted data Map dataset types

come from its diverse partner organizations, including all NOAA, NASA and USGS Earth observing data centers; government research laboratories; research universities;

sharing of data, documentation and software. NASA's A-Train Data Policy NOAA Administrative Order 212-15: Management of Environmental and Geospatial Data and

” Defined by the DCC (http://www.dcc.ac.uk/about/). Data Management: “Data Resource Management is the development and execution of architectures, policies

http://www.baronams.com/ NOAA HMS, NOAA Hazard Mapping System, http://www.ssd.noaa.gov/PS/FIRE/hms.html BlueSky, http://www.ssd.noaa.gov/PS/FIRE/hms.html PULSENet

McDonald (Kenneth.Mcdonald@noaa.gov) Report: The Evolution of Data Management at NOAA: Reviewed the NOAA oversight of data management activities – NOSC, DMC

the standard data access interface, uFIND includes a Data Viewer. The user can browse data layers, compare them and further explore the data, ultimately

practices that are likely to have a large impact on NASA's internal data management processes as well as on NASA's role as a partner to international activities

scientific data management community recognize that workforce development challenges are on the horizon. The ESIP Federation, with support from NOAA, is laying

dozens of data sources) Goal: build a centralized and actionable inventory of data resources. Connect and read data, build pipelines to enrich data sources

previous telecons Plans for a Data Management Workshop at fall 2010 AGU Identifiers Testbed Activities Data Stewardship Principles Data Citation Guidelines OAIS

expedited by data-specific wrappers that homogenize the data into virtual data cubes. Data access adapters facilitate queries to the data cubes through

community interactions between data managers, scientists, modelers, applications developers, educators and users of Earth science data and information. The 2009

quality, well-documented, and readily accessible geoscience data. Data acquisition, management, and distribution is a central part of the geoscience enterprise

community interactions between data managers, scientists, applications developers, educators and users of Earth science data and information. The 2008 strategic

FUNding Friday Professional Development NOAA: Support NOAA Earth Science Data Management Initiatives NOAA: Increase NOAA’s Efficiency through Innovation and

FAIR and Data Management for a Multidisciplinary Research Center (Westra and Zhang 2019) Data Quality Management Framework High Quality Global Data Management

high-quality, well-documented, and readily accessible geoscience data. Data acquisition, management, and distribution is a central part of the geoscience enterprise

ESIP Federation meeting, NOAA/NESDIS will conduct a series of workshops grouped into two themes: "Data Stewardship at the NOAA Data Centers" and "Access Tools

Collect current data-type ontologies and identify attributes (e.g. data mining tends to be agnostic to the science use/meaning of the data, whereas geospatial

forecasters / data collectors Information needed: Chemical transport models, meteorological data, ambient observations when available, data integrating all

science data management and information community. Create an effective resource development program for the Federation. Well…diversified to include NOAA & progress

the modern data-producing scientist needs to know about data management will be introduced. We will discuss the rationale for data management planning and

Interoperability Workshop.GEOSS evolution and architecture is built upon 6 work packages (WPs) in which WP3 Data Management Principles is led by ESIP and

community interactions between data managers, scientists, modelers, applications developers, educators and users of Earth science data and information. The 2008

come from its diverse partner organizations, including all NOAA, NASA and USGS Earth observing data centers; government research laboratories; research universities;

community interactions between data managers, scientists, applications developers, educators and users of Earth science data and information. The 2008 strategic

papers, etc. on various data related topics. Existing Ronin members are interested in data management, data stewardship, data discovery and access. Website:

consistency in data collection and also evolution of the variable framework. Can you highlight key needs for data gaps that exist and/or data that are difficult

community interactions between data managers, scientists, modelers, applications developers, educators and users of Earth science data and information. The 2009

community interactions between data managers, scientists, modelers, applications developers, educators and users of Earth science data and information. The 2008

It also intends to create easy-to-use models for data providers to express the uncertainty of their data and for users (including policy makers) to understand

tools for data exploration and analysis. Data federation is accomplished by turning data stored and exposed through a server into a data service. Data as a

Samples (AρρEEARS) tool, which is a data subsetter that provides data access and data value exploration for a variety of data from federal archives.  AppEEARS

solicitation. For data-intensive computing, massive data is the dominant issue with emphasis placed on the data-intensive nature of the computation. Data intensive

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