Abstract

Assessing the stewardship maturity of individual datasets is an essential part of ensuring and improving the way datasets are documented, preserved, and disseminated to users. It is a critical step towards meeting U.S. federal regulations, organizational requirements, and user needs. However, it is challenging to do so consistently and quantifiably. The Data Stewardship Maturity Matrix (DSMM), developed jointly by NOAA’s National Centers for Environmental Information (NCEI) and the Cooperative Institute for Climate and Satellites–North Carolina (CICS-NC), provides a uniform framework for consistently rating stewardship maturity of individual datasets in nine key components: preservability, accessibility, usability, production sustainability, data quality assurance, data quality control/monitoring, data quality assessment, transparency/traceability, and data integrity. So far, the DSMM has been applied to over 800 individual datasets that are archived and/or managed by NCEI, in support of the NOAA’s OneStop Data Discovery and Access Framework Project. As a part of the OneStop-ready process, tools, implementation guidance, workflows, and best practices are developed to assist the application of the DSMM and described in this paper. The DSMM ratings are also consistently captured in the ISO standard-based dataset-level quality metadata and citable quality descriptive information documents, which serve as interoperable quality information to both machine and human end-users. These DSMM implementation and integration workflows and best practices could be adopted by other data management and stewardship projects or adapted for applications of other maturity assessment models.

Highlights

  • The National Oceanic and Atmospheric Administration (NOAA) is responsible for providing environmental intelligence to American citizens, businesses, and governments to enable informed decisions

  • The data stewardship maturity matrix (DSMM) ratings were integrated into the metadata records through a script

  • It became quite clear early on that the scalability of assessing, representing, and integrating DSMM ratings needs to be improved and automation is a must in order to apply the DSMM to hundreds to thousands of NOAA datasets

Read more

Summary

Introduction

The National Oceanic and Atmospheric Administration (NOAA) is responsible for providing environmental intelligence to American citizens, businesses, and governments to enable informed decisions. The data stewardship maturity matrix (DSMM), developed jointly by domain (data management, technology, and science) subject matter experts (SMEs) from NOAA’s National Centers for Environmental Information (NCEI) and the Cooperative Institute for Climate and Satellites–North Carolina (CICS-NC), provides such a consistent framework. Leveraging institutional knowledge and community best practices and standards, the Figure 1: A conceptual model of the scientific data stewardship maturity matrix (DSMM) of National ­Centers for Environmental Information (NCEI) and the Cooperative Institute for Climate and Satellites– North Carolina (CICS-NC). And systematically capturing and integrating this data maturity information for machine and human end-users is an important part of improving data and information accessibility, usability, and interoperability Both utilizing a maturity framework and consistently capturing dataset maturity information are fairly new for Earth Science data management and stewardship. Of the entire lifecycle of the DSMM application, namely, evaluating, capturing, representing, baselining, integrating, and visualizing DSMM ratings

Evaluation and Representation of DSMM Ratings
File naming convention
Reporting formats
Review and baseline process
Quality metadata implementation
Data Stewardship Maturity Report
Quantitative Results
Data Stewardship Maturity Questionnaire
Automation tools and workflows
Integration to Other Systems and Tools
Integration to ISO dataset-level metadata
Integration to OneStop search and discovery algorithm
Summary and Discussion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.