Practical Application of the Data Stewardship Maturity Model for NOAA's OneStop Project
Abstract
Assessing the current stewardship maturity state of datasets is an important part of ensuring and improving the way datasets are documented, preserved, stewarded, and disseminated to users. It is a critical step towards meeting U.S. federal regulations, organizational requirements, and user needs, especially in the area of data quality.The Data Stewardship Maturity Matrix (DSMM) developed in partnership with NOAA's National Centers of Environmental Information (NCEI) and the Cooperative Institute for Climate and Satellites-North Carolina (CICS-NC) provides a uniform framework for consistent assessment within the context of data management and it includes key components related to data quality and documentation of the quality. This DSMM was used to assess stewardship maturity of datasets archived within NCEI supporting NOAA's OneStop Data Discovery and Access Framework Project. Additionally the DSMM assessment results were implemented in ISO 19115 within the dataset metadata record and will be used for relevancy ranking within OneStop.This presentation will demonstrate the application of the DSMM to NOAA's OneStop datasets including the tools developed to assist the consistent application of the DSMM and communicate the results and an overview of how the DSMM results were implemented in the standard dataset metadata.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFMIN43D..08R
- Keywords:
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- 1912 Data management;
- preservation;
- rescue;
- INFORMATICSDE: 1916 Data and information discovery;
- INFORMATICSDE: 1950 Metadata: Quality;
- INFORMATICSDE: 1990 Uncertainty;
- INFORMATICS