Data-driven decision making in academic libraries: A review of developments and future prospects

Computer data has been used for many years to support data-driven decision-making. The current study focuses on the fundamental principles of data-driven decision-making in education and learning and how it can potentially transform libraries in the future. The study was conducted in five phases usi...

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Main Authors:	Sukula, Shiva Kanaujia, Balutagi, Suresh, Frias, Willian S.A.
Format:	text
Published:	Animo Repository 2023
Subjects:	Academic libraries—Decision making Data sets Library and Information Science
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/11776
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-14231
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-142312024-04-25T00:52:47Z Data-driven decision making in academic libraries: A review of developments and future prospects Sukula, Shiva Kanaujia Balutagi, Suresh Frias, Willian S.A. Computer data has been used for many years to support data-driven decision-making. The current study focuses on the fundamental principles of data-driven decision-making in education and learning and how it can potentially transform libraries in the future. The study was conducted in five phases using the scoping review. The decision- making process and early developments, role in educational administration, application in libraries, methods and techniques for data-driven decision-making, most recent advancements, and post-COVID-19 developments in decision-making are all included for discussion based on the data. 2023-07-10T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/11776 Faculty Research Work Animo Repository Academic libraries—Decision making Data sets Library and Information Science
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Academic libraries—Decision making Data sets Library and Information Science
spellingShingle	Academic libraries—Decision making Data sets Library and Information Science Sukula, Shiva Kanaujia Balutagi, Suresh Frias, Willian S.A. Data-driven decision making in academic libraries: A review of developments and future prospects
description	Computer data has been used for many years to support data-driven decision-making. The current study focuses on the fundamental principles of data-driven decision-making in education and learning and how it can potentially transform libraries in the future. The study was conducted in five phases using the scoping review. The decision- making process and early developments, role in educational administration, application in libraries, methods and techniques for data-driven decision-making, most recent advancements, and post-COVID-19 developments in decision-making are all included for discussion based on the data.
format	text
author	Sukula, Shiva Kanaujia Balutagi, Suresh Frias, Willian S.A.
author_facet	Sukula, Shiva Kanaujia Balutagi, Suresh Frias, Willian S.A.
author_sort	Sukula, Shiva Kanaujia
title	Data-driven decision making in academic libraries: A review of developments and future prospects
title_short	Data-driven decision making in academic libraries: A review of developments and future prospects
title_full	Data-driven decision making in academic libraries: A review of developments and future prospects
title_fullStr	Data-driven decision making in academic libraries: A review of developments and future prospects
title_full_unstemmed	Data-driven decision making in academic libraries: A review of developments and future prospects
title_sort	data-driven decision making in academic libraries: a review of developments and future prospects
publisher	Animo Repository
publishDate	2023
url	https://animorepository.dlsu.edu.ph/faculty_research/11776
_version_	1797546202498072576

Data-driven decision making in academic libraries: A review of developments and future prospects

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