• Characteristics of cohort data...

Treffer: Characteristics of cohort data management systems (CDMS): a scoping review.

Title:
Characteristics of cohort data management systems (CDMS): a scoping review.
Authors:
Abasi A; Student Research Committee, Iran University of Medical Sciences, Tehran, Iran., Ayatollahi H; Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran. Ayatollahi.h@iums.ac.ir., Motevalian SA; Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute (PHRI), Iran University of Medical Sciences, Tehran, Iran. Motevalian.a@iums.ac.ir.; Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran. Motevalian.a@iums.ac.ir.
Source:
BMC medical research methodology [BMC Med Res Methodol] 2025 Nov 14; Vol. 25 (1), pp. 256. Date of Electronic Publication: 2025 Nov 14.
Publication Type:
Journal Article; Scoping Review
Language:
English
Journal Info:
Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE
Imprint Name(s):
Original Publication: London : BioMed Central, [2001-
MeSH Terms:
Data Management*/methods , Data Management*/standards , Database Management Systems*, Humans ; Cohort Studies ; Confidentiality ; Computer Security
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Contributed Indexing:
Keywords: Cohort studies; Data management systems; Functional requirements; Non-functional requirements
Entry Date(s):
Date Created: 20251114 Date Completed: 20251115 Latest Revision: 20251121
Update Code:
20251121
PubMed Central ID:
PMC12619332
DOI:
10.1186/s12874-025-02705-z
PMID:
41239233
Database:
MEDLINE

Weitere Informationen

Cohort studies are a core aspect of clinical research which helps to gather a large volume of data over time. As digital technologies evolve, managing these data has become increasingly complex. Therefore, the use of cohort data management systems (CDMS) has been suggested to enhance data accuracy, confidentiality, and consistency. However, the functional and non-functional requirements of these systems have not been adequately emphasized in literature. This study aimed to identify the key functional and non-functional requirements of these systems. This was a scoping review conducted in 2025, and articles were searched in PubMed, Scopus, Web of Science, ProQuest, IEEE Xplore, and the Cochrane Library databases as well as Google Scholar. Initially, 843 articles were retrieved, and finally, 45 articles published between 1st January 2005 and 31st June 2025 were selected. Nine functional and eight non-functional requirements were identified for CDMS. These systems are essential for facilitating cohort studies through data management, data processing and analysis. Advanced tools like AI, visual dashboards, and automation have improved CDMS functionalities. The most important non-functional requirements included flexibility, security and usability. CDMS must support comprehensive data operations, secure access, user engagement, and interoperability while ensuring scalability, privacy, and regulatory compliance. Requirements such as maintainability, although less emphasized, are essential for the long-term development and optimization of data management systems. Future research should focus on emerging technologies like blockchain and Internet of Things (IoT) to enhance the security, integrity, and performance of CDMS.
(© 2025. The Author(s).)

Declarations. Ethics approval and consent to participate: The research was conducted in accordance with the ethical principles for medical research outlined in the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of Iran University of Medical Sciences (IR.IUMS.REC.1403.074). As this was a scoping review study, it involved only the analysis of previously published literature and did not include any direct human participation or intervention. Therefore, informed consent to participate was not required. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.