Paper Info
Title
A Conceptual Enterprise Framework for Managing Scientific Data Stewardship
Abstract
Scientific data stewardship is an important part of long-term preservation and the use/reuse of digital research data. It is critical for ensuring trustworthiness of data, products, and services, which is important for decision-making. Recent U.S. federal government directives and scientific organization guidelines have levied specific requirements, increasing the need for a more formal approach to ensuring that stewardship activities support compliance verification and reporting. However, many science data centers lack an integrated, systematic, and holistic framework to support such efforts. The current business- and process-oriented stewardship frameworks are too costly and lengthy for most data centers to implement. They often do not explicitly address the federal stewardship requirements and/or the uniqueness of geospatial data. This work proposes a data-centric conceptual enterprise framework for managing stewardship activities, based on the philosophy behind the Plan-Do-Check-Act (PDCA) cycle, a proven industrial concept. This framework, which includes the application of maturity assessment models, allows for quantitative evaluation of how organizations manage their stewardship activities and supports informed decision-making for continual improvement towards full compliance with federal, agency, and user requirements.
Year
DOI
Venue
2018
10.5334/dsj-2018-015
Data Sci. J.
Keywords
DocType
Volume
Domain Stewards,Enterprise Framework,Information Management,Maturity Matrix,Open Data,PDCA-cycle,Research Data,Scientific Data Stewardship
Journal
17
ISSN
Citations 
PageRank 
1683-1470
1
0.41
References 
Authors
2
9
Name
Order
Citations
PageRank
Ge Peng153.91
Jeffrey L. Privette236471.25
Curt Tilmes39113.91
Sky Bristol410.41
Tom Maycock510.41
John J. Bates641.69
Scott Hausman710.41
Brown, Otis B.83515.63
Edward J. Kearns9153.66