Citation Database
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The citation Databases are important databases for authors and researchers to find out various metrics for their academic publications.
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Web of Science
Web of Science is an online scientific citation indexing service that allows users to search bibliographic databases for academic literature. It is owned by Clarivate Analytics and provides access to multiple databases that index thousands of scholarly journals, books, and conference proceedings. Some key points:
- Web of Science allows citation searching to find academic sources that have cited a particular work or have been cited by other works.
- It provides citation metrics like the h-index and citation reports that measure the impact and influence of authors, publications, and institutions.
- Advanced search features allow using Boolean operators, field tags, and other tools to construct complex queries across various databases within Web of Science.
h-index
The h-index is a metric used to characterize both the productivity and impact of a researcher's publications. It is defined as the number of papers (h) that have been cited at least h times each. The h-index takes into account both the number of publications and the number of citations received. Several research databases, including Scopus, Web of Science, and Google Scholar, will calculate a researcher's h-index.
Citation indexing
This document provides an overview of citation indexing and describes some key tools and concepts. Citation indexing traces the use of ideas across research by identifying papers that cite older publications. The Institute for Scientific Information pioneered citation indexing databases like the Web of Science. While comprehensive, the WoS has limitations in coverage of non-English language and developing world journals. The Indian Citation Index was created to index more Indian publications and support research evaluation in India. Impact factors are calculated based on citations in the Journal Citation Reports to measure journal influence.
Citation indexing
The document discusses citation indexing. It defines citation indexing as a process that detects relationships between documents through citations. When one document cites another document, there is a conceptual relationship between the ideas in the two documents. The document outlines the history and development of citation indexing, including the first citation index created by Frank Shephard and important contributions by Eugene Garfield. It describes the major citation indexes produced by the Institute for Scientific Information (ISI), now Thomson Reuters, including the Science Citation Index, Social Sciences Citation Index, and Arts and Humanities Citation Index.
Research Metrics
This document provides an overview of various bibliometric products and metrics that can be used to measure research impact, including journal impact factor, h-index, citation counts, and journal/article ranking tools from Journal Citation Reports, Scopus, and Google Scholar. It discusses the purpose and calculations of metrics like impact factor, eigenfactor, and source normalized impact per paper (SNIP). It also covers limitations of bibliometrics and recommends using multiple metrics and tools to evaluate research. Exercises are provided to help understand how to analyze journals, articles, and individual researchers using different bibliometric resources.
Research Metrics
This document summarizes a virtual workshop on thesis writing and publication organized by Lavender Literacy Club and Cape Comorin Trust in collaboration with other institutions. It discusses research metrics, which are quantitative measures used to assess scholarly research outputs and impacts. Various metrics are explained, including journal metrics like impact factor, author metrics like h-index, and alternative metrics. The importance of research profiles, publishing ethics, and increasing research visibility and impacts are also covered.
Database and Research Matrix.pptx
This document provides information about indexing databases and citation databases. It defines a database as a collection of organized information that can be easily accessed and updated. Indexing databases are described as optimizing database performance by minimizing disk accesses during queries through the use of indexes. The document outlines different types of indexing, including clustered, non-clustered, and multi-level indexing. It then defines citation databases as collections of referenced academic works that can be used to evaluate publications by counting citations. The benefits of using citation databases over general search engines are discussed.
Impact factor of Journal as per Journal citation report, SNIP, SJR, IPP, Cite...
Impact factor of Journal as per Journal citation report, SNIP, SJR, IPP, Cite...Omprakash saini saini
The document discusses several metrics for evaluating journals:
- Cite Score measures citations received over a 3-year period divided by number of published items in Scopus.
- Impact Factor from Journal Citation Reports measures average citations over a 2-year period.
- SNIP accounts for differences in citation behavior between fields using a source normalization approach.
- SJR measures influence based on weighted citations from prestigious journals over 3 years.
- Impact per Publication calculates citations in a year divided by number of publications in the prior 3 years.Recommended
Web of Science
Web of Science is an online scientific citation indexing service that allows users to search bibliographic databases for academic literature. It is owned by Clarivate Analytics and provides access to multiple databases that index thousands of scholarly journals, books, and conference proceedings. Some key points:
- Web of Science allows citation searching to find academic sources that have cited a particular work or have been cited by other works.
- It provides citation metrics like the h-index and citation reports that measure the impact and influence of authors, publications, and institutions.
- Advanced search features allow using Boolean operators, field tags, and other tools to construct complex queries across various databases within Web of Science.
h-index
The h-index is a metric used to characterize both the productivity and impact of a researcher's publications. It is defined as the number of papers (h) that have been cited at least h times each. The h-index takes into account both the number of publications and the number of citations received. Several research databases, including Scopus, Web of Science, and Google Scholar, will calculate a researcher's h-index.
Citation indexing
This document provides an overview of citation indexing and describes some key tools and concepts. Citation indexing traces the use of ideas across research by identifying papers that cite older publications. The Institute for Scientific Information pioneered citation indexing databases like the Web of Science. While comprehensive, the WoS has limitations in coverage of non-English language and developing world journals. The Indian Citation Index was created to index more Indian publications and support research evaluation in India. Impact factors are calculated based on citations in the Journal Citation Reports to measure journal influence.
Citation indexing
The document discusses citation indexing. It defines citation indexing as a process that detects relationships between documents through citations. When one document cites another document, there is a conceptual relationship between the ideas in the two documents. The document outlines the history and development of citation indexing, including the first citation index created by Frank Shephard and important contributions by Eugene Garfield. It describes the major citation indexes produced by the Institute for Scientific Information (ISI), now Thomson Reuters, including the Science Citation Index, Social Sciences Citation Index, and Arts and Humanities Citation Index.
Research Metrics
This document provides an overview of various bibliometric products and metrics that can be used to measure research impact, including journal impact factor, h-index, citation counts, and journal/article ranking tools from Journal Citation Reports, Scopus, and Google Scholar. It discusses the purpose and calculations of metrics like impact factor, eigenfactor, and source normalized impact per paper (SNIP). It also covers limitations of bibliometrics and recommends using multiple metrics and tools to evaluate research. Exercises are provided to help understand how to analyze journals, articles, and individual researchers using different bibliometric resources.
Research Metrics
This document summarizes a virtual workshop on thesis writing and publication organized by Lavender Literacy Club and Cape Comorin Trust in collaboration with other institutions. It discusses research metrics, which are quantitative measures used to assess scholarly research outputs and impacts. Various metrics are explained, including journal metrics like impact factor, author metrics like h-index, and alternative metrics. The importance of research profiles, publishing ethics, and increasing research visibility and impacts are also covered.
Database and Research Matrix.pptx
This document provides information about indexing databases and citation databases. It defines a database as a collection of organized information that can be easily accessed and updated. Indexing databases are described as optimizing database performance by minimizing disk accesses during queries through the use of indexes. The document outlines different types of indexing, including clustered, non-clustered, and multi-level indexing. It then defines citation databases as collections of referenced academic works that can be used to evaluate publications by counting citations. The benefits of using citation databases over general search engines are discussed.
Impact factor of Journal as per Journal citation report, SNIP, SJR, IPP, Cite...
Impact factor of Journal as per Journal citation report, SNIP, SJR, IPP, Cite...Omprakash saini saini
The document discusses several metrics for evaluating journals:
- Cite Score measures citations received over a 3-year period divided by number of published items in Scopus.
- Impact Factor from Journal Citation Reports measures average citations over a 2-year period.
- SNIP accounts for differences in citation behavior between fields using a source normalization approach.
- SJR measures influence based on weighted citations from prestigious journals over 3 years.
- Impact per Publication calculates citations in a year divided by number of publications in the prior 3 years.Presentation on Scopus
Presentation on Scopus
Faculty Workshop Program
North South University
Fall, 2017 | Dean Conference Hall, 15-Nov-2017
Redundant Publications.pptx
Redundant, Duplicate and Repetitive publications are the most important concerns in the scientific research/literature writing. The occurrence of redundancy affects the concepts of science/literature and carries with it sanctions of consequences. To define this issue is much challenging because of the many varieties in which one can slice, reformat, or reproduce material from an already published study. This issue also goes beyond the duplication of a single study because it might possible that the same or similar data can be published in the early, middle, and later stages of an on-going study. This may have a damaging impact on the scientific study/literature base. Similar to slicing a cake, there are so many ways of representing a study or a set of data/information. We can slice a cake into different shapes like squares, triangles, rounds, or layers. Which of these might be the best way to slice a cake? Unfortunately, this may be the wrong question. The point is that the cake that is being referred to, the data/ information set or the study/findings, should not be sliced at all. Instead, the study should be presented as a whole to the readership to ensure the integrity of science/technology because of the impact that may have on patients who will be affected by the information contained in the literature/findings. Redundant, duplicate, or repetitive publications occur when there is representation of two or more studies, data sets, or publications in either electronic or print media. The publications can overlap partially or completely, such that a similar portion, major component(s), or complete representation of a previously/simultaneous ly or future published study is duplicated.
SALAMI SLICING: The slicing of research publication that would form one meaningful paper into several different papers is known as salami publication or salami slicing. Unlike duplicate publication, which involves reporting the exact same data in two or more publications, salami slicing involves breaking up or segmenting a large study into two or more publications. These segments are called slices of a study. As a general rule, as long as the slices of a broken-up study share the same hypotheses, population, and methods, this is not acceptable in general practice. The same slice should never be published more than once at all. According to the United States Office of Research Integrity (USORI), salami slicing can result in a distortion of the literature/findings by leading unsuspecting readers to believe that data presented in each salami slice (journal article) is derived from a different subject sample/source. Somehow this practice not only skews the scientific database but it creates repetition to waste reader's time as well as the time of editors and peer reviewers, who must also handle each paper separately.
Open Access Publications PPT.pdf
Open Access (OA) is a system provide access to knowledge resources with free of cost and other restrictions. This PPT answer to the questions what, why, types, benefits etc. and also describes the creative commons licensing, concept of predatory journals, open access journals, and Sharpa RoMeO.
Author Level Metrics
The document discusses author level metrics and how they are used to measure the impact of individual authors. It defines author level metrics as citation metrics that measure the bibliometric impact of individual researchers. It also discusses different types of author level metrics, including article-level metrics, journal-level metrics, h-index, i10-index, g-index, and altmetrics. Finally, it discusses tools that can be used to measure author metrics, such as Google Scholar, Web of Science, Scopus, and Publish or Perish.
Importance of publication ethics
i summarized the all data of Publication Ethics . All researcher to need this for publish the Paper .
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The document discusses various citation databases and research metrics used to evaluate scholarly publications and researchers. It describes major citation databases like Web of Science, Scopus, and Google Scholar that compile citations from bibliographies. It also explains common research metrics like the Impact Factor, h-index, g-index, i10 Index, Cite Score, SJR, and SNIP used to measure the influence and impact of publications and researchers. These metrics are calculated based on factors like the number of citations a publication or researcher receives.
Open Access Initiatives
The document discusses the history and development of open access initiatives for scholarly publications. It notes several important declarations from 2002-2005 that supported open access, including making publications freely available online. It describes how open access initiatives aim to unite organizations in supporting free and unrestricted access to peer-reviewed research. The document also discusses definitions of open access, copyright considerations, launching open access journals, and the Budapest Open Access Initiative of 2002.
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This document discusses journal finding and suggestion tools that can help researchers identify appropriate journals to publish their articles. It defines what academic journals are and their purpose. It then describes several online tools, like Edanz Journal Selector, Elsevier Journal Finder, EndNote Manuscript Matcher, and Springer Journal Suggester, that use keywords, titles, and abstracts to match articles to relevant journals based on the journal's scope, audience, and other factors. The document advises researchers to verify a journal's aims and author instructions before submitting to ensure their article is a good fit.
What is salami slicing
I explain plainly what is salami silcing, a practice of fragmenting single research into as many publications as possible. Salami publishing and hazards
Impact Factor Journals as per JCR, SNIP, SJR, IPP, CiteScore
Journal-level metrics
Metrics have become a fact of life in many - if not all - fields of research and scholarship. In an age of information abundance (often termed ‘information overload’), having a shorthand for the signals for where in the ocean of published literature to focus our limited attention has become increasingly important.
Research metrics are sometimes controversial, especially when in popular usage they become proxies for multidimensional concepts such as research quality or impact. Each metric may offer a different emphasis based on its underlying data source, method of calculation, or context of use. For this reason, Elsevier promotes the responsible use of research metrics encapsulated in two “golden rules”. Those are: always use both qualitative and quantitative input for decisions (i.e. expert opinion alongside metrics), and always use more than one research metric as the quantitative input. This second rule acknowledges that performance cannot be expressed by any single metric, as well as the fact that all metrics have specific strengths and weaknesses. Therefore, using multiple complementary metrics can help to provide a more complete picture and reflect different aspects of research productivity and impact in the final assessment. ( Elsevier)
IDENTIFICATION OF PUBLICATION MISCONDUCT, COMPLAINTS & APPEALS IN ETHICS
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The document discusses publication misconduct, complaints, and appeals. It defines publication misconduct and explains why it is a problem. The various forms of misconduct are identified such as plagiarism, data fabrication, and authorship issues. Methods for identifying and preventing misconduct like utilizing plagiarism detection software and transparent reporting are presented. The process for publication complaints is outlined including how complaints can arise and the steps in the complaint process. Publication appeals are defined and the steps in the appeal process like submitting the appeal and editorial review are described. Finally, the importance of uniform publication ethics standards for all peer-reviewed journals is emphasized.Sherpa Romeo
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RESEARCH METRICS h-INDEX.pptx
RESEARCH METRICS
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Unit 3
The document discusses publication ethics, including defining authorship, avoiding plagiarism and fabrication, managing conflicts of interest, and addressing misconduct. It introduces guidelines from organizations like COPE and WAME that provide best practices for publication ethics. Adhering to ethical standards is important to ensure high-quality scientific research and public trust in findings. Journals have processes to identify and handle cases of unethical behavior.
Science citation index
The Science Citation Index (SCI) was created in 1960 by Eugene Garfield to allow searching by cited references. It has since evolved into the Web of Science database, which provides access to multiple citation indexing databases covering science, social science, arts and humanities journals. Web of Science allows searching by author, cited references, and keywords to find relevant research and analyze impact metrics like citation counts and the h-index. Access is generally through institutional subscriptions.
Predatory Publications and Software Tools for Identification
Journals that publish work without proper peer review and which charge scholars sometimes huge fees to submit should not be allowed to share space with legitimate journals and publishers, whether open access or not. These journals and publishers cheapen intellectual work by misleading scholars, preying particularly early career researchers trying to gain an edge. The credibility of scholars duped into publishing in these journals can be seriously damaged by doing so. It is important that as a scholarly community we help to protect each other from being taken advantage of in this way.
Presentation on web of science m.vi.library
This document provides an overview and summary of the Web of Science database. It discusses that Web of Science is a platform consisting of literature search databases designed to support scientific research. It was envisioned by Eugene Garfield in the 1960s to connect scientists and scholars globally across disciplines. The document outlines the scope and impact of Web of Science, including that it indexes over 20,000 peer-reviewed journals. It also summarizes the specific databases subscribed to by the AUI Library, including the Web of Science Core Collection, MEDLINE, and SciELO Citation Index. Finally, it briefly describes some of the analysis and metric tools available through Web of Science, such as citation mapping and InCites journal metrics.
Scopus
Scopus is Elsevier’s abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences, and health sciences
Publication ethics
This document discusses various publication ethics issues including duplicate publication, authorship, scientific misconduct, and conflicts of interest. It provides definitions and examples of these issues, noting that journals exist to enhance the scientific database but also other interests like profits. The document cites a study that found around 0.04% of papers involved plagiarism and 1.35% involved duplicate publication. It discusses best practices for authorship including determining order upfront and documenting responsibilities. Conflicts of interest can mislead readers and include financial, personal, political or academic interests. The Committee on Publication Ethics was founded to address integrity concerns in medical journal publishing.
Predatory Journals
Predatory journals actively solicit manuscripts from researchers but lack proper peer review and editorial boards. They often publish low-quality papers solely to charge publication fees without providing legitimate scholarly services. Researchers should be wary of these journals as publishing in them can corrupt the academic literature and mislead others about the quality of their work. Various studies have exposed predatory journals by getting computer-generated nonsense papers and unqualified scientists accepted. Scholars can check for warning signs like missing or fake editorial boards, poor website quality, and surprise article fees to identify potentially predatory journals.
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Faculty Workshop Program
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Redundant Publications.pptx
Redundant, Duplicate and Repetitive publications are the most important concerns in the scientific research/literature writing. The occurrence of redundancy affects the concepts of science/literature and carries with it sanctions of consequences. To define this issue is much challenging because of the many varieties in which one can slice, reformat, or reproduce material from an already published study. This issue also goes beyond the duplication of a single study because it might possible that the same or similar data can be published in the early, middle, and later stages of an on-going study. This may have a damaging impact on the scientific study/literature base. Similar to slicing a cake, there are so many ways of representing a study or a set of data/information. We can slice a cake into different shapes like squares, triangles, rounds, or layers. Which of these might be the best way to slice a cake? Unfortunately, this may be the wrong question. The point is that the cake that is being referred to, the data/ information set or the study/findings, should not be sliced at all. Instead, the study should be presented as a whole to the readership to ensure the integrity of science/technology because of the impact that may have on patients who will be affected by the information contained in the literature/findings. Redundant, duplicate, or repetitive publications occur when there is representation of two or more studies, data sets, or publications in either electronic or print media. The publications can overlap partially or completely, such that a similar portion, major component(s), or complete representation of a previously/simultaneous ly or future published study is duplicated.
SALAMI SLICING: The slicing of research publication that would form one meaningful paper into several different papers is known as salami publication or salami slicing. Unlike duplicate publication, which involves reporting the exact same data in two or more publications, salami slicing involves breaking up or segmenting a large study into two or more publications. These segments are called slices of a study. As a general rule, as long as the slices of a broken-up study share the same hypotheses, population, and methods, this is not acceptable in general practice. The same slice should never be published more than once at all. According to the United States Office of Research Integrity (USORI), salami slicing can result in a distortion of the literature/findings by leading unsuspecting readers to believe that data presented in each salami slice (journal article) is derived from a different subject sample/source. Somehow this practice not only skews the scientific database but it creates repetition to waste reader's time as well as the time of editors and peer reviewers, who must also handle each paper separately.
Open Access Publications PPT.pdf
Open Access (OA) is a system provide access to knowledge resources with free of cost and other restrictions. This PPT answer to the questions what, why, types, benefits etc. and also describes the creative commons licensing, concept of predatory journals, open access journals, and Sharpa RoMeO.
Author Level Metrics
The document discusses author level metrics and how they are used to measure the impact of individual authors. It defines author level metrics as citation metrics that measure the bibliometric impact of individual researchers. It also discusses different types of author level metrics, including article-level metrics, journal-level metrics, h-index, i10-index, g-index, and altmetrics. Finally, it discusses tools that can be used to measure author metrics, such as Google Scholar, Web of Science, Scopus, and Publish or Perish.
Importance of publication ethics
i summarized the all data of Publication Ethics . All researcher to need this for publish the Paper .
Unit 6
The document discusses various citation databases and research metrics used to evaluate scholarly publications and researchers. It describes major citation databases like Web of Science, Scopus, and Google Scholar that compile citations from bibliographies. It also explains common research metrics like the Impact Factor, h-index, g-index, i10 Index, Cite Score, SJR, and SNIP used to measure the influence and impact of publications and researchers. These metrics are calculated based on factors like the number of citations a publication or researcher receives.
Open Access Initiatives
The document discusses the history and development of open access initiatives for scholarly publications. It notes several important declarations from 2002-2005 that supported open access, including making publications freely available online. It describes how open access initiatives aim to unite organizations in supporting free and unrestricted access to peer-reviewed research. The document also discusses definitions of open access, copyright considerations, launching open access journals, and the Budapest Open Access Initiative of 2002.
Presentation on journal suggestion tool and journal finder
This document discusses journal finding and suggestion tools that can help researchers identify appropriate journals to publish their articles. It defines what academic journals are and their purpose. It then describes several online tools, like Edanz Journal Selector, Elsevier Journal Finder, EndNote Manuscript Matcher, and Springer Journal Suggester, that use keywords, titles, and abstracts to match articles to relevant journals based on the journal's scope, audience, and other factors. The document advises researchers to verify a journal's aims and author instructions before submitting to ensure their article is a good fit.
What is salami slicing
I explain plainly what is salami silcing, a practice of fragmenting single research into as many publications as possible. Salami publishing and hazards
Impact Factor Journals as per JCR, SNIP, SJR, IPP, CiteScore
Journal-level metrics
Metrics have become a fact of life in many - if not all - fields of research and scholarship. In an age of information abundance (often termed ‘information overload’), having a shorthand for the signals for where in the ocean of published literature to focus our limited attention has become increasingly important.
Research metrics are sometimes controversial, especially when in popular usage they become proxies for multidimensional concepts such as research quality or impact. Each metric may offer a different emphasis based on its underlying data source, method of calculation, or context of use. For this reason, Elsevier promotes the responsible use of research metrics encapsulated in two “golden rules”. Those are: always use both qualitative and quantitative input for decisions (i.e. expert opinion alongside metrics), and always use more than one research metric as the quantitative input. This second rule acknowledges that performance cannot be expressed by any single metric, as well as the fact that all metrics have specific strengths and weaknesses. Therefore, using multiple complementary metrics can help to provide a more complete picture and reflect different aspects of research productivity and impact in the final assessment. ( Elsevier)
IDENTIFICATION OF PUBLICATION MISCONDUCT, COMPLAINTS & APPEALS IN ETHICS
IDENTIFICATION OF PUBLICATION MISCONDUCT, COMPLAINTS & APPEALS IN ETHICSDEPARTMENT OF PHYSICAL EDUCATION AND SPORTS SCIENCES, UNIVERSITY OF DELHI
The document discusses publication misconduct, complaints, and appeals. It defines publication misconduct and explains why it is a problem. The various forms of misconduct are identified such as plagiarism, data fabrication, and authorship issues. Methods for identifying and preventing misconduct like utilizing plagiarism detection software and transparent reporting are presented. The process for publication complaints is outlined including how complaints can arise and the steps in the complaint process. Publication appeals are defined and the steps in the appeal process like submitting the appeal and editorial review are described. Finally, the importance of uniform publication ethics standards for all peer-reviewed journals is emphasized.Sherpa Romeo
Sherpa provides two tools - SHERPA/RoMEO and SHERPA/FACT - to help researchers comply with open access mandates from their funders. SHERPA/RoMEO allows users to search publisher and journal policies on copyright and self-archiving. SHERPA/FACT combines RoMEO and JULIET data to indicate a journal's open access compliance based on the user's selected funder and publication stage. Both tools aim to help unlock the potential of research by facilitating open access.
RESEARCH METRICS h-INDEX.pptx
RESEARCH METRICS
It is the quantitative analysis of scientific and scholarly outputs and their impacts. Research Metrics measure impact and provide insight into the influence of specific journal publications, individual articles, and authors.
Unit 3
The document discusses publication ethics, including defining authorship, avoiding plagiarism and fabrication, managing conflicts of interest, and addressing misconduct. It introduces guidelines from organizations like COPE and WAME that provide best practices for publication ethics. Adhering to ethical standards is important to ensure high-quality scientific research and public trust in findings. Journals have processes to identify and handle cases of unethical behavior.
Science citation index
The Science Citation Index (SCI) was created in 1960 by Eugene Garfield to allow searching by cited references. It has since evolved into the Web of Science database, which provides access to multiple citation indexing databases covering science, social science, arts and humanities journals. Web of Science allows searching by author, cited references, and keywords to find relevant research and analyze impact metrics like citation counts and the h-index. Access is generally through institutional subscriptions.
Predatory Publications and Software Tools for Identification
Journals that publish work without proper peer review and which charge scholars sometimes huge fees to submit should not be allowed to share space with legitimate journals and publishers, whether open access or not. These journals and publishers cheapen intellectual work by misleading scholars, preying particularly early career researchers trying to gain an edge. The credibility of scholars duped into publishing in these journals can be seriously damaged by doing so. It is important that as a scholarly community we help to protect each other from being taken advantage of in this way.
Presentation on web of science m.vi.library
This document provides an overview and summary of the Web of Science database. It discusses that Web of Science is a platform consisting of literature search databases designed to support scientific research. It was envisioned by Eugene Garfield in the 1960s to connect scientists and scholars globally across disciplines. The document outlines the scope and impact of Web of Science, including that it indexes over 20,000 peer-reviewed journals. It also summarizes the specific databases subscribed to by the AUI Library, including the Web of Science Core Collection, MEDLINE, and SciELO Citation Index. Finally, it briefly describes some of the analysis and metric tools available through Web of Science, such as citation mapping and InCites journal metrics.
Scopus
Scopus is Elsevier’s abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences, and health sciences
Publication ethics
This document discusses various publication ethics issues including duplicate publication, authorship, scientific misconduct, and conflicts of interest. It provides definitions and examples of these issues, noting that journals exist to enhance the scientific database but also other interests like profits. The document cites a study that found around 0.04% of papers involved plagiarism and 1.35% involved duplicate publication. It discusses best practices for authorship including determining order upfront and documenting responsibilities. Conflicts of interest can mislead readers and include financial, personal, political or academic interests. The Committee on Publication Ethics was founded to address integrity concerns in medical journal publishing.
Predatory Journals
Predatory journals actively solicit manuscripts from researchers but lack proper peer review and editorial boards. They often publish low-quality papers solely to charge publication fees without providing legitimate scholarly services. Researchers should be wary of these journals as publishing in them can corrupt the academic literature and mislead others about the quality of their work. Various studies have exposed predatory journals by getting computer-generated nonsense papers and unqualified scientists accepted. Scholars can check for warning signs like missing or fake editorial boards, poor website quality, and surprise article fees to identify potentially predatory journals.
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Presentation on journal suggestion tool and journal finder
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Impact Factor Journals as per JCR, SNIP, SJR, IPP, CiteScore
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IDENTIFICATION OF PUBLICATION MISCONDUCT, COMPLAINTS & APPEALS IN ETHICS
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This document provides an overview and summary of key topics for a course on database management:
- The course will focus on database design rather than software. It will cover database application design and structure.
- Assignments include querying sample databases and designing a personal database project.
- Grades are based on assignments, a group database project, and class participation. A textbook is required reading.
Database Management System - DBMS
A database is a collection of logically related records or files consolidated into a common pool that provides data for multiple uses. The data is organized according to a database model, with the relational model being the most common. A Database Management System (DBMS) consists of software that organizes database storage structures and allows organizations to control database development through specialists like Database Administrators. DBMSs are categorized by the database model they support, like relational, and determine the available query languages, with SQL commonly used for relational databases.
Dbms9
This document discusses databases and database management. It begins by explaining the problems with traditional file-based data storage and how a database management system (DBMS) addresses these issues by centralizing data. The DBMS acts as an interface between applications and data storage. Key components of a DBMS include data definition and manipulation languages and a data dictionary. The document then covers database design, trends like data warehousing and online analytical processing, and how databases are used on the web.
DATABASE Lecture 1 and 2.pptx
1. A database is a collection of logically related data organized in tables, rows, and columns. It allows for easy access, management, and updating of information.
2. Data is raw facts and figures that can be processed by computers, while information is systematic and meaningful data used for decision making.
3. There are many types of databases including relational, NoSQL, cloud, object-oriented, and hierarchical databases. Relational databases store data in tables and use SQL, while NoSQL databases store flexible data types.
Chapter 05 pertemuan 7- donpas - manajemen data
This document provides definitions and information about data management concepts including data, information, databases, database management system (DBMS) structures, database types, and database security. It defines data and information and explains that a database consists of organized collection of data. It describes different DBMS structures like hierarchical, network, relational, and multidimensional. It also discusses various database types such as operational databases, data warehouses, analytical databases, distributed databases, and more. Finally, it covers the topic of database security.
6.2 software
A field is a category of information in a table represented by a column. A record consists of related fields arranged in a row. A file is a named collection of data organized into tables, queries, forms and reports that together form a database.
Introduction to DBMS_VP.pptx
Database users can be categorized into actors on the scene and workers behind the scene. Actors on the scene include database administrators, database designers, end users like casual users, naive users, and sophisticated users. Workers behind the scene include DBMS system designers and implementers who design and develop the database management system software and modules.
Dbms
This document discusses database concepts including different types of databases, data storage and retrieval methods, database models, and data schemas. It provides definitions and examples of operational databases, analytical databases, data warehouses, distributed databases, end user databases, external databases, sequential organization, indexed sequential organization, inverted list organization, direct access organization, hierarchical data model, network data model, relational data model, external schema, conceptual schema, internal schema, and mapping between schemas.
Dbms
This document discusses database concepts including different types of databases, data storage and retrieval methods, database models, and schemas. It defines key terms like records, files, databases, operational databases, analytical databases, data warehouses, distributed databases, end user databases, external databases, data definition language, data manipulation language, and data dictionary. It also summarizes data storage methods like sequential organization, indexed sequential organization, inverted list organization, and direct access organization.
Data base management system and Architecture ppt.
This document provides an overview of database management systems (DBMS) and database architecture. It discusses what a DBMS is, including that it enables creation, access and modification of databases. It then describes the four main types of DBMS: hierarchical, network, relational and object-oriented. For each type it provides a brief explanation of its structure and functionality. The document concludes with a discussion of the typical functionality of a DBMS and a description of database architecture, including the global conceptual schema, fragmentation and allocation schema, and local schemas.
Text Mining.pptx
Text mining is the process of extracting relevant information or patterns from unstructured text data sources. It involves preprocessing the text, applying text mining techniques like summarization, classification, clustering, and information extraction to analyze the text. Typical text mining applications include information retrieval from text databases and digital libraries to locate relevant documents based on user queries. Performance is measured using precision, recall, and F-score to balance correctly retrieved vs total retrieved documents.
W3C Library Linked Data Incubator Group: Review of the Final Report
This report is a snapshot describing the current state of library data management. It outlines the potential benefits of publishing library data as Linked Data and provides recommendations for library standards bodies, data and systems designers, librarians and archivists, and library leaders.
There are two supplementary reports that provide additional detail. The first is the "Use Cases" describing library applications that take advantage of the benefits of adopting Linked Data standards and principles involved in publishing things like bibliographic data, concept schemes, and authority files. The second supplementary report "Datasets, Value Vocabularies, and Metadata Element Sets" provides a list of resources available for creating library Linked Data . There are several additional documents available on the W3C's Semantic Web wiki <http: /> and there is discussion list public-lld <http: />, which are both open to interested members of the public.
DBMS PART 1.docx
A database management system (DBMS) is a software application that allows users to store, organize, and manage large amounts of data in a structured and efficient manner. DBMS provides a centralized repository for data that can be accessed and manipulated by multiple users and applications simultaneously.
The primary functions of a DBMS include data storage, data retrieval, data security, and data integrity. DBMS allows users to define, create, and manipulate data using a variety of tools and interfaces, such as SQL queries, forms, and reports.
DBMS typically include features such as transaction management, concurrency control, backup and recovery, and query optimization to ensure the efficient and reliable operation of the system.
DBMS can be categorized into different types based on their architecture, such as relational, object-oriented, and NoSQL. Each type of DBMS has its own strengths and weaknesses, and the choice of DBMS depends on the specific requirements of the application.
Overall, a DBMS plays a critical role in managing large and complex data sets, and it is an essential tool for organizations that need to store, access, and analyze large volumes of data efficiently and effectively.
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Citation Database
- 1. Citation Database and Use of Plagiarism Software Dr. Utpal Das Dibrugarh University 8486140679 utpaldas@dibru.ac.in
- 2. What is a Database? A database is an organized collection of structured information, or data, typically stored electronically in a computer system with the help of components/tools like: i. Database Management System (DBMS) (MySQL, Microsoft Access, Microsoft SQL Server, FileMaker Pro, Oracle Database, and dBASE) iii. Set or combination of sets of LMS (conditional)
- 3. Types of Database according tools/technology: • Open source databases: whose source code is open source • Cloud databases: collection of data resides on a private, public, or hybrid cloud computing platform where administrative tasks and maintenance are performed by a service provider • Multimodel database: combine different types of database models into a single, integrated back • Document/JSON database: designed for storing, retrieving, and managing document-oriented information • Self-driving databases: The newest and self-driving databases are cloud-based and use machine learning to automate database tuning, security, backups, updates, and other routine management tasks traditionally performed by database administrators
- 4. What is a citation database? Citation databases are collections of referenced papers/ articles/ books and other material entered into an online system (database) in a structured and consistent way. All the information relating to a single document, such as author, title, publication details, abstract, and perhaps the full text make up the ‘record’ for that document. Each of these items of information becomes a separate ‘field’ in that record and enables the document to be retrieved via any of these items, or by keywords.
- 5. Why use a citation database? A citation database allows you to access: published, peer-reviewed, high-quality research outputs/articles/book Chapters, etc. From materials such as: journals research reports, systematic reviews, conference proceedings, editorials, books and other related works
- 6. Indexing Mechanism When a document is originally entered into a database it is analysed for its key subjects, and descriptors (MeSH terms in MEDLINE, PubMed, SLSH etc.) are assigned to it as metadata. Subject Headings are controlled vocabulary thesaurus used for indexing and cataloguing articles. These SH terms are ‘search terms’ or ‘indexing terms’ that allow precise searching and retrieving the record precisely.
- 7. Searches can then be limited, for example, by author or title fields, or year/s of publication, and keywords can be focused and searched separately. Searches undertaken in citation databases are therefore more precise and comprehensive than searches on general internet search engines and the results are of consistently higer quality, reliability with precision.
- 11. Database challenges • Absorbing significant increases in data volume. • Ensuring data security. • Keeping up with demand real time access. • Managing and maintaining the database and infrastructure with software upgrades • Removing limits on scalability with growth for sustainability • Ensuring data residency, data sovereignty, or latency requirements that are better suited to run on-premises.
- 12. Thanks