Volume 11, Issue 4 (12-2017)
payavard 2017, 11(4): 450-459 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Shirazi Mehrabad M, Sharif Moghaddam H, Kimiafar K, Azizi A. A Comparative Study of Structural Features of Medical Bibliographic Databases: MedLib, Barakat Knowledge Network System, Irandoc, SID, Magiran and PubMed based on Gulliver Criteria. payavard 2017; 11 (4) :450-459
URL: http://payavard.tums.ac.ir/article-1-6351-en.html
URL: http://payavard.tums.ac.ir/article-1-6351-en.html
1- Master of Science in Information Science and Knowledge, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran
2- Associate Professor, Information Science and Knowledge Department, School of Educational and Psychology Sciences, Payam-e Noor University of Mashhad, Mashhad, Iran , sh_mogadam@pnu.ac.ir
3- Assistant Professor, Medical Records and Health Information Technology Department, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran
4- Assistant Professor, Health Information Technology Department, School of Paramedicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
2- Associate Professor, Information Science and Knowledge Department, School of Educational and Psychology Sciences, Payam-e Noor University of Mashhad, Mashhad, Iran , sh_mogadam@pnu.ac.ir
3- Assistant Professor, Medical Records and Health Information Technology Department, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran
4- Assistant Professor, Health Information Technology Department, School of Paramedicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
Abstract: (3946 Views)
Background and Aim: Periodic assessment of medical sciences databases is a necessary principle of the process of enhancement these databases. The aim of this study was to Comparatively evaluate structural features of medical bibliographic databases including MedLib, Barakat knowledge network system, Irandoc, SID, Magiran and PubMed, based on Gulliver criteria.
Materials and Methods: This survey was carried out in accordance with Gulliver's assessment checklist 2002. This checklist consists of 12 sections including entry page, searching, limiting, record viewing and manipulating, graphics, record retrieval, selective dissemination of information services, general design, terminology, icon design and placement, help and advanced features. The study was conducted on five national databases and one foreign database.
Results: Among the databases, PubMed gained the first ranking with a score of 89.16 percent. Among the national databases, new SID database with a score of 57.5 percent gained the top rank. Other databases including Irandoc (56.25%), Magiran (54.58 %), Barkat knowledge network system (52.91 %), MedLib (51.25%) and old SID (47.5 %) obtained next ranking respectively.
Conclusion: Despite improvements indices in updated national databases, many of the indicators are far from prestigious databases such as PubMed. It is recommended that in development of national databases, features such as search, help, SDI, entry page, advanced features and record retrieval should be considered.
Materials and Methods: This survey was carried out in accordance with Gulliver's assessment checklist 2002. This checklist consists of 12 sections including entry page, searching, limiting, record viewing and manipulating, graphics, record retrieval, selective dissemination of information services, general design, terminology, icon design and placement, help and advanced features. The study was conducted on five national databases and one foreign database.
Results: Among the databases, PubMed gained the first ranking with a score of 89.16 percent. Among the national databases, new SID database with a score of 57.5 percent gained the top rank. Other databases including Irandoc (56.25%), Magiran (54.58 %), Barkat knowledge network system (52.91 %), MedLib (51.25%) and old SID (47.5 %) obtained next ranking respectively.
Conclusion: Despite improvements indices in updated national databases, many of the indicators are far from prestigious databases such as PubMed. It is recommended that in development of national databases, features such as search, help, SDI, entry page, advanced features and record retrieval should be considered.
Type of Study: Original Research |
Subject:
Medical Library & Information Sciences
ePublished: 1399/07/23
ePublished: 1399/07/23
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
