جستجوی مقالات مرتبط با کلیدواژه "iranian‌ research institute for information science" در نشریات گروه "کتابداری و مدیریت اطلاعات"

 Designing metadata ontology model for semantic representation of Theses by using the SPAR (Semantic Publishing and Referencing) Ontologies. This study was an applied form and two methods were used, Content Analysis and mapping. The metadata of 69 theses and dissertations on the National Library and Archive of Iran in three Databases: 1) Digital Library of National Library and Archive of Iran. 2) Rasa Software and 3) Ganj in the Iranian Research Institute for Information Science and Technology were selected modified and completed by mapping. On the other hand, by analyzing the entities of each SPAR ontology and suggesting another entity to the researcher, the checklist was formed. This checklist included classes, properties, and individuals. At last, by entering them into Protégé software version 5.5, the model of metadata ontology, MdOntTDs, was drawn. Findings identified deficiencies in the existence of four important metadata elements (subject, supervisor, advisor, and abstract) in RASA and NLAI Digital Library. Among the 18 SPAR Ontologies, the most entities were selected from FaBiO, FRAPO, and CiTO respectively. All entities of BiDO, BiRO, C4O, Fivestar, FR, FRBR, PO, PRO, PSO, and PWO were suitable for theses. 195 individuals from 6 SPAR Ontologies, 292 individuals labeled with MdTDs from theses, and 100 individuals labeled with SUNMdTDs were selected by the researcher and entered into the software. 1558 entities categorized by class, Properties (object, data, and Annotation), and individuals along with the description and definition of each entity were placed in the software, in the form of hierarchical and determining axioms for classes. And specifying domain and range for relationships. Finally, the RDF graph was drawn using the OntoGraf plugin, and the final Model, MdOntTDs was developed. this research has proposed three new types of metadata: 1) Except for the existing keywords, topics have been categorized and modeled up to three levels including 4 main categories, 16 subcategories, and many units. Each of these final topics has been related to “hasSubject” and “isSubjectOf” properties. 2) The research methods of Theses that were connected with “hasMethod” and “used in” properties. 3) The papers taken from Theses were also searched, as far as possible, and were connected with “hasJournalArticle” and “journalArticleOf” properties. This model, if implemented, can overcome keyword search limitations, the problem of linking and Data sharing on the web, and the inconsistency of data. In the software, classes and their related individuals are visible in the form of a hierarchical network in RDF triples, and the connection between entities with increasing access points promises deeper semantic searches. However, due to the absence or lack of tagged and linked data, usage of the some of selected entities is not possible.

Today, scientific document centers face increasing demands on data collection, storage, integration, processing, and analysis for information systems and infrastructure. These centers are the most important and reliable sources of governance for the advancement of different areas of each country and their success requires proper performance. The present study was conducted to propose a data governance model in the countries scientific document centers to show how data governance should be appropriate for these scientific centers. The Iranian Research Institute for Information Science and Technology (IranDoc) was selected as the study. This research has analyzed the content of texts in the field of scientific document centers with a meta-combined method. 15 articles and dissertations related to this field were purposefully selected and reviewed by qualitative content analysis. The basic model was used to design the data governance model of scientific document centers. The research findings identified five main components of data governance including "planning", "organizing and managing", "performance", "implementation" and "evaluation". These main components each have sub-components, which finally identified 38 sub-components for data governance of scientific document centers with a combination of texts. These components help to implement data governance for scientific document centers.

As mission-oriented organizations, research institutes have the task of answering community questions in specialized areas, and should therefore be able to effectively present their outputs to their target users. Achieving such a goal requires the proper use of information architecture principles to properly organize the information platform in which the research institutes interact with their audiences. Therefore, reviewing and evaluating the information architecture of Research Institutes’ websites as their main communication platform with their users is of particular importance. The purpose of this study is to evaluate the Iranian Research Institute for Information Science and Technology’s website based on information architecture.

The research method is based on content analysis and case evaluation and is done using direct observations and checklists in March 2022. In this regard, first the components of the information environment, ie the context, content, and user of the website are identified. Then, we check the information architecture subsystems of the website using checklists based on the components of the information environment. The organization system checklist contains 14 main questions, the labeling system checklist contains 32 main questions, the navigation system checklist contains 20 main questions, and finally, the search system checklist contains 41 main questions. The checklists were prepared using the library research method and approved by an expert panel. Excel software is used to collect and analyze data.

Users of the Iranian Research Institute for Information Science and Technology’s website can be categorized into four groups: researchers and students, science and technology policymakers, librarians and informants, and educational and research institutions. The main content of this website includes reports, books, articles, research projects, information systems, scientific events, training courses, laboratories, and collaborative services. The context of the website is based on service development and delivery in the areas of knowledge management, scientific and technological information management, dissemination of information science and technology, supporting science and technology policymakers, Publicizing the use of information technology, cooperating with universities and research institutes, and supporting research in the field of information science and technology. The results of the checklists indicate the score of this website for the organization system, the labeling system, the navigation system, and the search system as 67.6%, 68.4%, 65.4%, and 34.8%, respectively.

The status of the Iranian Research Institute for Information Science and Technology’s website is assessed as good in terms of the organization system, the labeling system, and the navigation system, and poor in terms of the search system. The use of an audience-oriented organization plan in the website organization system, the use of index labels in the form of unique entities in the website labeling system, and the use of a main navigation bar with an integrated and similar design in the website navigation system are among the strengths of the website information architecture design. On the other hand, according to the research findings, to improve the search system, it is necessary to pay attention to features such as “correcting spelling errors in the input query”, “highlighting the input query in the retrieved results”, “adding logical operators to the search system”, “searching metadata”, “sorting results in alphabetical and chronological order”, and “adding search filters such as subject and year”.

Today, measuring data quality is one of the most important strategies in improving data-driven business processes. Any correct decision to improve systems in this category of organizations depends on an appropriate analysis of data quality. Research data and especially theses / dissertations  of graduates of the whole country based on this principle from various aspects of data quality need to be reviewed and evaluated. In the process of registering, the quality control of metadata is one of the most important parts that examines the information items of documents (such as the name of the researcher, supervisors and advisors, abstract, index, etc.).In the current situation, incompatible documents are identified during the quality control process and after entering in the system (as text), the relevant document is systematically returned to the researcher. Non-standard incompatible identified and the lack of proper classification for incompatible documents leading to informing tastes to researchers, making statistical analysis of metadata quality problems difficult, and also make it impossible to analyze the root of observed errors. Therefore, in this study, the incompatible structure observed after standardization has been used experimentally in two-month periods and the results have been presented. Incompatible in thesis defense date, the title page (Persian and English) and the existence of white pages in the file have been among the most important reasons for returning documents to users.  Also, the analysis of all data showed that 59% of the incompatibles were related to the attached files and 41% to the information recorded in the system. Finally, based on the performed analyzes, guidelines have been provided for the users of the system in order to improve the quality of data, according to specialized areas

To explore the impact of information seeking behavior of theses indexers to meet their information needs.

35 indexers at the National Library and Archives of Iran (NLAI) and the Iranian Research Institute for Information Science and Technology (IRANDOC) composed the statistical population. A Likert scaled questionnaire was used for data collection. SPSS software was used for data analysis.

Information seeking behavior of indexers meets their information needs in 7 components, not for "using sample documents" with a (mean lower than average: 2.66). The total mean of the 8 components studied was 3.63 (above the average). The research hypothesis is confirmed as the overall mean exceeds 3 on Likert scale.

Respondents have sufficient expertise and experience. Their information-seeking behavior fulfills a high level of information needs at various stages of indexing.

The purposes of this research was defining the need to an organization or a center for improving and extending university and research libraries, and identifying capabilities and position of Iranian Research Institute for Science and Technology (Irandoc) for accepting possible roles. This research was documentary with scoping review in which the scope of research defined with internal and external organizational documents, related researches in NATional Information System (NATIS) and international successful organizations in this field. Irandoc can play roles in developing standard, establishing experts and professional network, developing information and knowledge sharing process, facilitating access to the scholarly contents, leadership and change management, developing infrastructures for research data management, gathering information and statistics of these libraries & developing interlibrary collaborations in these libraries.Originality: This research is one of the seldom researches related to clarification of an organization’ role and position in NATional Information System (NATIS) in Universities and improving and also extending activities of university and research libraries in Iran.

Investigating the relationship between Knowledge Management Infrastructures and Organizational Intelligence in two research centers of Ministry of Science, Research and Technology namely Iranian Research Institute for Information Science and Technology and Institute for Humanities and Cultural Studies. The research is a survey in descriptive manner. Using two validated questionnaires related to Knowledge Management Infrastructures and Organizational Intelligence, the research was conducted among 175 faculty members and staffs of two research centers. Collected data were then analyzed by software SPSS and PLS. Factor analysis showed a high factor loading related to the two main variables and all of the items indicated goodness of fit of the questions. Variance mean ratio between two variables was higher than 0.5 indicating a high convergent validity. R Squares for Organizational Intelligence showed fitness of structural equating model. Goodness of fit for Iranian Research Institute for Information Science and Technology was 0.642 lower than Institute for Humanities and Cultural Studies with 0.645. Path analysis indicated a significant relationship between two variables by 95% degree of confidence accepting the two research hypothesis. By comparison, Knowledge Management Infrastructures was more correlated with Organizational Intelligence in Institute for Humanities and Cultural Studies than Iranian Research Institute for Information Science and Technology. Knowledge management Infrastructures in Iranian Research Institute for Information Science and Technology predicted Organizational Intelligence by 0.826 percent while in the Institute for Humanities and Cultural Studies by 0.848 percent.

The research aimed at evaluating the usability of Iranian Research Institute for Information Science and Technology (IRNADOC) and Regional Information Center for Science and Technology (RICST) websites from the Shirarz University postgraduate students‘ point of view 5 The statistical population consisted of 5300 students from which a sample of 368 ones was extracted by random stratified sampling method whose categories were consisted of various educational areas students, including Humanities, Social Sciences, Basic Science, Agriculture Sciences, and Engineering. Then, the proportion of each category of any area was chosen by random systematic method. A researcher-made questionnaire was used to gather data which its content validity and reliability was calculated by the specialists and users 5 The findings showed that generally in the users‘ opinion, the application of the usability components in the two research centers‘ websites was in ―good‖ state (between 068-008). There were significant differences between the mean scores of the users‘ judgments and the usability of an ideal state (080), the means of various age categories, female and male user's means, and the means of various educational areas students. There were no significant differences between the mean scores of the postgraduate's judgments with different experience in Internet use, and the ones of the freshmen and elder postgraduates 5Originality: The results can help mush to understand the importance of the usability of research Center's websites and to pay more attention to their various components 5

Machine indexer is referred to as a kind of indexing system in which keywords are extracted from the title or body of a text and organized in the index entries using computer algorithm. Althogh there is an increasing need for applying computer in indexing machine indexer has not been developed for Persian language yet. Therefore in this paper the results of investigating and identifying of theoretical and practical aspects of such system in the Iranian Research Institute for Information Science and Technology are presented. To do so، firstly the relationship between indexing and information retrieval، theoretical debates and the machine indexing revolution، the practical and procedural viewpoints of machine indexing، successful projects in different countries and for different languages، and the requirements of machine indexer for Persian language are discussed. Then the elements of a machine indexer for Persian language are defined and its conceptual model and also the relationships between the elements، the details of subsystems، and the indexer logical system are designed. Finally، the requirments of developing the system for the Iranian Research Institute for Information Science and Technology are discussed and the state of the art of the implemented projects and existing experiences in this regard are defined.