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The efficiency in digital library web pages(Presenting a model for Payame Noor University libraries)
Dr Saeed Ghaffari, Dr Masoud Bakhtiari,
Volume 0, Issue 0 (5-2022)
Abstract
Purpose: The purpose of this research is to discover the state of the user interface in the web pages of digital libraries and to provide a model for the libraries of Payam Noor University based on the criteria found in the texts and sources.
Research method: The research method is survey and descriptive. The research tool used to evaluate libraries is the Nowruz check list (2018) consisting of 10 main criteria and 114 sub-components. The statistical population of the research is 10 digital libraries in America, Australia, France, Switzerland, New Zealand, Holland, Poland, Japan, India and Italy. Descriptive statistics and SPSS and Excel software were used to analyze the data of this research. Also, the questions and hypothesis of the research were tested by using t-test and Friedman's test.
Research findings: The digital library of America has won the first rank in compliance with the standards with 70.42%. Then the digital libraries of France with a score of 62.07 and Switzerland with a score of 61.59% are in the second and third places. Italian digital libraries are at the bottom of these libraries with 40.14% compliance. Also, among the criteria, the interface language criterion with 35.98% of compliance has been paid more attention by libraries than other criteria. The criterion of user control with 6.70% compliance has the lowest compliance rate among libraries.
Conclusion: In the libraries of Payam Noor University, in addition to following the general search components, special components such as proximity search, related keyword suggestions, and marking of search results are suggested in order to save the user's time. Also, the existence of the site map, information display criteria, reducing the time spent by the user and attracting and maintaining the user need attention.

Investigating the Level of Observing the Evaluation Criteria for User Interface in library services providing to the blind and deaf users in the word
Zeinab Sedighi, Alireza Isfandyari-Moghaddam, Atefeh Zarei,
Volume 3, Issue 2 (9-2016)
Abstract

Purpose: Digital library user interfaces has a determining role in desirable performance of this kind of libraries. Digital Library service providers to the blind and deaf users will have their best performance when the users (deaf and blind users) could have a proper interaction with them. This study aims to evaluate and analyze the criteria related to user interface in digital libraries service provider to the blind and deaf users in the world.

 Methodology: This is an applied and evaluative study. This study has been used library research method for extracting criteria and descriptive survey method for everything from evaluating library. A checklist consist of 13 criteria (Screen capabilities, Ability of organizing the screen, Search facilities, Links, Visual symbols and images, Options for customizing the texts, Help services and Tips, Error message alert, Interaction and feedback facilities, user interface Language, User controls, Library resources in various format, Study facilities of retrieved resources from the library) and 109 component is prepared. Then have been finalized by using the Delphi method and completed for each Library. 12 digital library service providers to blind and deaf user in the world perform the population.

Finding: Results of the study showed that the criteria of '' user interface language '' (with 97.92 %) and the criteria of '' user control'' (with 9.67 %) reached the highest and lowest scores respectively. Among the 12 digital libraries investigated worldwide, "Digital library for the blind" with respect 63.53 reached the maximum and "U.S. National Library Service for Blind" with respect 37.62 grasped the minimum levels.


A Comprehensive Method of Evaluating Open Government Data with the Aim of Improving Data Quality and Increasing Citizens' Willingness
Dr. Mohammad Moradi, Dr. Mojtaba Mazoochi,
Volume 8, Issue 4 (2-2022)
Abstract
Purpose: The purpose is to present an open government data evaluation method by considering comprehensive and complete dimensions and criteria - calculating the weight and importance of each criterion, examining the country in this area, clustering organizations and presenting a classification model to predict the situation.
Methodology: Library studies was used to extract the dimensions and criteria of evaluation. Population includes articles related to open government data evaluation criteria. Ten articles were reviewed by simple random sampling method. Multiple attribute decision making techniques was used to calculate the weight and importance of each criterion. Data mining techniques was incorporated to cluster and create a classification model.
Findings: By reviewing the articles 15 criteria of open government data evaluation including:  Data originality, license openness, up-to-datedness, data access rate, metadata completeness, number of data sets, format openness, non-discriminatory, comprehensible, number of data fields, free, no missing data, data request ability, visual and feedback, were extracted. Using AHP technique, the weights of the criteria were calculated, which after normalization, the total weight of the 15 extracted criteria was equal to one. "Data originality" with a weight of 0.165, " license openness " with a weight of 0.124 and " up-to-datedness" with a weight of 0.109 were ranked first to third among 15 evaluation criteria, respectively. Weight of evaluation criteria obtained and data extraction of 358 organizations in harmony with 15 evaluation criteria, the weight of organizations was calculated. The sum of the weights was equal to one. "East Azerbaijan Agricultural Jihad Organization" with a weight of 0.088, "Statistics Center of Iran" with a weight of 0.062 and "Geological Survey" with a weight of 0.058 were the first to third ranks among 358 organizations and government institutions, respectively, based on the combination of criteria and the weight of criteria.
Conclusion: Evaluation criteria obtained, calculating the weight and importance of each criterion, examining the current situation of government organizations and institutions in the country and the classification model created can help managers to understand the current situation and improve it and thus increase citizens' interaction with open government data as a kind of human information interaction.

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