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A Conceptual Enterprise Framework for Managing Scientific Data Stewardship
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 organiz...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580807/ https://www.ncbi.nlm.nih.gov/pubmed/33101400 http://dx.doi.org/10.5334/dsj-2018-015 |
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author | Peng, Ge Privette, Jeffrey L. Tilmes, Curt Bristol, Sky Maycock, Tom Bates, John J. Hausman, Scott Brown, Otis Kearns, Edward J. |
author_facet | Peng, Ge Privette, Jeffrey L. Tilmes, Curt Bristol, Sky Maycock, Tom Bates, John J. Hausman, Scott Brown, Otis Kearns, Edward J. |
author_sort | Peng, Ge |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7580807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-75808072020-10-22 A Conceptual Enterprise Framework for Managing Scientific Data Stewardship Peng, Ge Privette, Jeffrey L. Tilmes, Curt Bristol, Sky Maycock, Tom Bates, John J. Hausman, Scott Brown, Otis Kearns, Edward J. Data Sci J Article 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. 2018-06-28 2018 /pmc/articles/PMC7580807/ /pubmed/33101400 http://dx.doi.org/10.5334/dsj-2018-015 Text en This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Peng, Ge Privette, Jeffrey L. Tilmes, Curt Bristol, Sky Maycock, Tom Bates, John J. Hausman, Scott Brown, Otis Kearns, Edward J. A Conceptual Enterprise Framework for Managing Scientific Data Stewardship |
title | A Conceptual Enterprise Framework for Managing Scientific Data Stewardship |
title_full | A Conceptual Enterprise Framework for Managing Scientific Data Stewardship |
title_fullStr | A Conceptual Enterprise Framework for Managing Scientific Data Stewardship |
title_full_unstemmed | A Conceptual Enterprise Framework for Managing Scientific Data Stewardship |
title_short | A Conceptual Enterprise Framework for Managing Scientific Data Stewardship |
title_sort | conceptual enterprise framework for managing scientific data stewardship |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580807/ https://www.ncbi.nlm.nih.gov/pubmed/33101400 http://dx.doi.org/10.5334/dsj-2018-015 |
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