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Research Data Management Practices and Impacts on Long-Term Data Sustainability : = An Institutional Exploration.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Research Data Management Practices and Impacts on Long-Term Data Sustainability :/
Reminder of title:
An Institutional Exploration.
Author:
Bratt, Sarah.
Description:
1 online resource (315 pages)
Notes:
Source: Dissertations Abstracts International, Volume: 84-02, Section: A.
Contained By:
Dissertations Abstracts International84-02A.
Subject:
Library science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29252982click for full text (PQDT)
ISBN:
9798841727170
Research Data Management Practices and Impacts on Long-Term Data Sustainability : = An Institutional Exploration.
Bratt, Sarah.
Research Data Management Practices and Impacts on Long-Term Data Sustainability :
An Institutional Exploration. - 1 online resource (315 pages)
Source: Dissertations Abstracts International, Volume: 84-02, Section: A.
Thesis (Ph.D.)--Syracuse University, 2022.
Includes bibliographical references
With the 'data deluge' leading to an institutionalized research environment for data management, U.S. academic faculty have increasingly faced pressure to deposit research data into open online data repositories, which, in turn, is engendering a new set of practices to adapt formal mandates to local circumstances. When these practices involve reorganizing workflows to align the goals of local and institutional stakeholders, we might call them 'data articulations.' This dissertation uses interviews to establish a grounded understanding of the data articulations behind deposit in 3 studies: (1) a phenomenological study of genomics faculty data management practices; (2) a grounded theory study developing a theory of data deposit as "articulation" work in genomics; and (3) a comparative case study of genomics and social science researchers to identify factors associated with the institutionalization of research data management (RDM). The findings of this research offer an in-depth understanding of the data management and deposit practices of academic research faculty, and surfaced institutional factors associated with data deposit. Additionally, the studies led to a theoretical framework of data deposit to open research data repositories. The empirical insights into the impacts of institutionalization of RDM and data deposit on long-term data sustainability update our knowledge of the impacts of increasing guidelines for RDM. The work also contributes to the body of data management literature through the development of the "data articulation" framework which can be applied and further validated by future work. In terms of practice, the studies offer recommendations for data policymakers, data repositories, and researchers on defining strategies and initiatives to leverage data reuse and employ computational approaches to support data management and deposit.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798841727170Subjects--Topical Terms:
539284
Library science.
Subjects--Index Terms:
CyberinfrastructureIndex Terms--Genre/Form:
542853
Electronic books.
Research Data Management Practices and Impacts on Long-Term Data Sustainability : = An Institutional Exploration.
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Source: Dissertations Abstracts International, Volume: 84-02, Section: A.
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With the 'data deluge' leading to an institutionalized research environment for data management, U.S. academic faculty have increasingly faced pressure to deposit research data into open online data repositories, which, in turn, is engendering a new set of practices to adapt formal mandates to local circumstances. When these practices involve reorganizing workflows to align the goals of local and institutional stakeholders, we might call them 'data articulations.' This dissertation uses interviews to establish a grounded understanding of the data articulations behind deposit in 3 studies: (1) a phenomenological study of genomics faculty data management practices; (2) a grounded theory study developing a theory of data deposit as "articulation" work in genomics; and (3) a comparative case study of genomics and social science researchers to identify factors associated with the institutionalization of research data management (RDM). The findings of this research offer an in-depth understanding of the data management and deposit practices of academic research faculty, and surfaced institutional factors associated with data deposit. Additionally, the studies led to a theoretical framework of data deposit to open research data repositories. The empirical insights into the impacts of institutionalization of RDM and data deposit on long-term data sustainability update our knowledge of the impacts of increasing guidelines for RDM. The work also contributes to the body of data management literature through the development of the "data articulation" framework which can be applied and further validated by future work. In terms of practice, the studies offer recommendations for data policymakers, data repositories, and researchers on defining strategies and initiatives to leverage data reuse and employ computational approaches to support data management and deposit.
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