"Pursuing Best Performance in Research Data Management by Using the Capability Maturity Model and Rubrics "

Jian Qinet al. have published "Pursuing Best Performance in Research Data Management by Using the Capability Maturity Model and Rubrics " in the Journal of eScience Librarianship.

Here's an excerpt:

The RDM CMM [Capability Maturity Model] includes five chapters describing five key process areas for research data management: 1) data management in general; 2) data acquisition, processing, and quality assurance; 3) data description and representation; 4) data dissemination; and 5) repository services and preservation. In each chapter, key data management practices are organized into four groups according to the CMM's generic processes: commitment to perform, ability to perform, tasks performed, and process assessment (combining the original measurement and verification). For each area of practice, the document provides a rubric to help projects or organizations assess their level of maturity in RDM.

Research Data Curation Bibliography, Version 8 | Digital Curation and Digital Preservation Works | Digital Scholarship | Digital Scholarship Sitemap

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Author: Charles W. Bailey, Jr.

Charles W. Bailey, Jr.