A Capability Maturity Model for Research Data Management
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About RDAP14 Workshop

Last modified by Arden Kirkland on 2014/02/03 17:23

Feb 03 2014

Building capabilities for sustainable research data management practices

Organizers:

Kevin Crowston (crowston@syr.edu) & Jian Qin (jqin@syr.edu)

School of Information Studies, Syracuse University

As more organizations invest in Research Data Management (RDM), it has become increasingly important for administrators, researchers, and managers to be able to evaluate RDM process for sustainability, efficiency, and effectiveness, which requires a baseline for comparison. The goal of this workshop is to raise the awareness of process management and assessment for RDM and to learn how to apply the Capability Maturity Model (CMM) for RDM for the purpose of process assessment.

The original CMM was developed at the Software Engineering Institute (SEI) at Carnegie Mellon University to support improvements in the reliability of software development organizations, that is, in their ability to develop quality software on time and within budget. While the organizational maturity levels are most well-known aspect of the SEI CMM, its heart is the description of the key practices clustered in a set of process areas. The structure of a CMM has been applied in a variety of domains for structuring process and performance assessment. RDM practice faces challenges similar to those faced by software engineering organizations, which makes the structure of the CMM suitable for helping structure efforts to improve RDM practices.

As a tool to increase the reliability of RDM, since 2011 we have been developing a CMM for RDM by gathering evidence from literature and empirical observations and identifying and clustering key RDM practices. The current draft CMM for RDM includes five specific RDM practice areas: 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.

We expect to complete the first version of CMM for RDM before the workshop so that it can be used as the workshop material for discussion, activities, and input from the participants. The CMM for RDM takes a unique perspective to systematically document the key process areas and activities and tie them with the level of capability maturity in RDM. The CMM for RDM framework will provide guidelines much needed in data policy making, personnel training, and performance assessment. 

Created by Arden Kirkland on 2014/02/03 17:01

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