Andrea Scharnhorst (2016) Why do we need to model the science system? Talk at the seminar of the Eindhoven Centre for Innovation Sciences, June 2, 2016
Comparison of methods – an unloved duty? Examples from an ongoing bibliometri...Andrea Scharnhorst
Andrea Scharnhorst, Rob Koopman, Shenghui Wang (2016) Comparison of methods – an unloved duty? Examples from an ongoing bibliometric study. Presentation given at eHumanities group, research meeting, Feb 11, 2016
How to use science maps to navigate large information spaces? What is the lin...Andrea Scharnhorst
A. Scharnhorst (2016) Wie können Wissenschaftskarten zur Suche in grossen Informationsräumen eingesetzt werden? How to use science maps to navigate large information spaces? What is the link between science maps and predictive models of science? Invited lecture Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen, Euskirchen, Germany, December 7, 2016
Between information retrieval services and bibliometrics research. New ...Andrea Scharnhorst
R. Koopman, S. Wang, A. Scharnhorst (2015) Between information retrieval services and bibliometrics research. New ways of semantic browsing and visual analytics. Presentation at the Sigmetrics workshop, ASIST 2015, November 7, 2015 St. Louis, Missouri
information visualisation and its application in scientometricsGauhati University
This document summarizes a presentation about using information visualization in scientometrics. It discusses how visualization can be used to analyze and understand scientometrics data at different levels, from individual to global. It provides examples of tools like Sci2 that can perform network analysis and visualization of scientometrics datasets. Sci2 allows input of various data formats and visualization of temporal, geospatial, topical and network patterns in scientometric data.
Digital Humanities (DH) has been depicted as an innovative engine for humanities, as a challenge for Data Science, and as an area where libraries, archives and providers of e-research infrastructures join forces with research pioneers. However DH is defined, one thing is certain: DH is a new community which manifests and identifies itself via the Internet and social media. In this paper we propose to describe DH as a virtual community (VC), and discuss the implications of such an epistemic approach. We start with a (re)inspection of the scholarly discourse about VCs, and the analytic frameworks which have been applied to study them. We discuss the aspects that are highlighted by taking such a stance, and use the guidelines proposed by the FP7 European Network of Excellence in Internet Science (EINS) in our investigation.
Introduction to Science 3.3 : Scientific ModelsChris Foltz
Scientific models are used to represent objects or systems in the natural world. There are three main types of scientific models: physical models, which resemble the actual object; mathematical models, which use equations and data; and conceptual models, which explain ideas through comparisons. Models allow scientists to study things that are too small, like cells, or too large, like the solar system. Models help illustrate scientific theories and build knowledge, though theories and models may change as new evidence is discovered. Scientific laws are formed when a theory's models consistently predict experimental results and summarize what is observed.
Rare (and emergent) disciplines in the light of science studiesAndrea Scharnhorst
Andrea Scharnhorst. Insights from TD1210. presentation given at Exploratory Workshop “Integrating the stake of rare disciplines at the European level” COST, Brussels, September 9, 2015
Knowledge – dynamics – landscape - navigation – what have interfaces to digit...Andrea Scharnhorst
When we google, search Wikipedia, and share information on Mendeley, we obviously deal with complex networks of information. But also traditional information spaces – the collections of libraries for instance – and their classification systems are evolving complex systems. This talk explores the possibilities to use concepts and methods from statistical physics to analyze information dynamics. We depart from information dynamics in scholarly communication, and point to current encounters between physics and scientometrics. We discuss more in-depth the evolution of category systems in libraries (Universal Decimal Classification) in comparison to on-line spaces (Wikipedia). The talk closes with an introduction into a new European network – the COST Action KnowEscape – in which information professionals, sociologists, computer scientists, physicists and digital humanities scholars in an unique alliance seek for knowledge maps to better navigate through large information spaces.
Talk on June 11, 2013 by Andrea Scharnhorst at the IMT in Lucca, Italy.
Comparison of methods – an unloved duty? Examples from an ongoing bibliometri...Andrea Scharnhorst
Andrea Scharnhorst, Rob Koopman, Shenghui Wang (2016) Comparison of methods – an unloved duty? Examples from an ongoing bibliometric study. Presentation given at eHumanities group, research meeting, Feb 11, 2016
How to use science maps to navigate large information spaces? What is the lin...Andrea Scharnhorst
A. Scharnhorst (2016) Wie können Wissenschaftskarten zur Suche in grossen Informationsräumen eingesetzt werden? How to use science maps to navigate large information spaces? What is the link between science maps and predictive models of science? Invited lecture Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen, Euskirchen, Germany, December 7, 2016
Between information retrieval services and bibliometrics research. New ...Andrea Scharnhorst
R. Koopman, S. Wang, A. Scharnhorst (2015) Between information retrieval services and bibliometrics research. New ways of semantic browsing and visual analytics. Presentation at the Sigmetrics workshop, ASIST 2015, November 7, 2015 St. Louis, Missouri
information visualisation and its application in scientometricsGauhati University
This document summarizes a presentation about using information visualization in scientometrics. It discusses how visualization can be used to analyze and understand scientometrics data at different levels, from individual to global. It provides examples of tools like Sci2 that can perform network analysis and visualization of scientometrics datasets. Sci2 allows input of various data formats and visualization of temporal, geospatial, topical and network patterns in scientometric data.
Digital Humanities (DH) has been depicted as an innovative engine for humanities, as a challenge for Data Science, and as an area where libraries, archives and providers of e-research infrastructures join forces with research pioneers. However DH is defined, one thing is certain: DH is a new community which manifests and identifies itself via the Internet and social media. In this paper we propose to describe DH as a virtual community (VC), and discuss the implications of such an epistemic approach. We start with a (re)inspection of the scholarly discourse about VCs, and the analytic frameworks which have been applied to study them. We discuss the aspects that are highlighted by taking such a stance, and use the guidelines proposed by the FP7 European Network of Excellence in Internet Science (EINS) in our investigation.
Introduction to Science 3.3 : Scientific ModelsChris Foltz
Scientific models are used to represent objects or systems in the natural world. There are three main types of scientific models: physical models, which resemble the actual object; mathematical models, which use equations and data; and conceptual models, which explain ideas through comparisons. Models allow scientists to study things that are too small, like cells, or too large, like the solar system. Models help illustrate scientific theories and build knowledge, though theories and models may change as new evidence is discovered. Scientific laws are formed when a theory's models consistently predict experimental results and summarize what is observed.
Rare (and emergent) disciplines in the light of science studiesAndrea Scharnhorst
Andrea Scharnhorst. Insights from TD1210. presentation given at Exploratory Workshop “Integrating the stake of rare disciplines at the European level” COST, Brussels, September 9, 2015
Knowledge – dynamics – landscape - navigation – what have interfaces to digit...Andrea Scharnhorst
When we google, search Wikipedia, and share information on Mendeley, we obviously deal with complex networks of information. But also traditional information spaces – the collections of libraries for instance – and their classification systems are evolving complex systems. This talk explores the possibilities to use concepts and methods from statistical physics to analyze information dynamics. We depart from information dynamics in scholarly communication, and point to current encounters between physics and scientometrics. We discuss more in-depth the evolution of category systems in libraries (Universal Decimal Classification) in comparison to on-line spaces (Wikipedia). The talk closes with an introduction into a new European network – the COST Action KnowEscape – in which information professionals, sociologists, computer scientists, physicists and digital humanities scholars in an unique alliance seek for knowledge maps to better navigate through large information spaces.
Talk on June 11, 2013 by Andrea Scharnhorst at the IMT in Lucca, Italy.
The title of this talk borrows from the title of a chapter in a recently published book by Richard Smiraglia, Cultural Synergy in Information Institutions (7.9: What if There Were a Map?). The use of visualizations in the exploration of bodies of knowledge and for the organization of knowledge has a long history. Think in terms of the tree(s) of knowledge and large-scale maps of science (see Atlas of Science by Katy Börner). This talk introduces the work of a European network of research collaboration (a so-called COST Action) KnoweScape. KnoweScape explores how knowledge maps (from simple to sophisticated) can be made and applied to better understand, navigate, and curate collections held by libraries and archives. In terms of general research methodology, this talk is also a plea for creating overview prior to in-debt analysis and to seek for relative stable reference frameworks against which rapid changes of our knowledge can be interrogated. Looking at results produced by this community of scholars so far, it will become clear why the making of knowledge maps requires the collaboration of physicists, computer scientists, sociologists of knowledge, digital humanities scholars, and information scientists and professionals.
Genericity versus expressivity – reflections about the semantics of interoper...Andrea Scharnhorst
Andrea Scharnhorst, Frank van der Most, Christophe Gueret, Tamy Chambers (IU, Bloomington), Linda Reijnhoudt. Presentation at the ACUMEN workshop, March 8, 2013, Copenhagen
Mapping Social Sciences and Humanities - Impact, Orientation, Understanding A...Andrea Scharnhorst
This presentation gives an overview about the current use of science maps in evaluation, strategic planning, career development; and how they could be used in future.
Future agenda: repositories, and the research processMartin Donnelly
This document discusses research data management in the context of non-standard archiving of research outputs, with a focus on challenges in the arts and humanities. It notes that while data reuse has long been integral to various creative disciplines, archiving creative research data presents unique issues not present in scientific disciplines. These include the personal nature of creative works, differentiating between research and personal works, issues with non-digital materials, and the blurry boundaries of creative research processes. The document raises questions around concepts like evidence, facts, and replication in subjective creative research.
The European Student Parliament organizes debates around different topics. Smart cities is one of them. What is behind the Smart City concept, how a Smart City can become MyCity, and how a map of this Smart City would look like - those are topics of the expert hearing and the follow-up debate
Debate on Production, Evaluation, Storage and DisseminationScientific Informa...AJHSSR Journal
ABSTRACT:World reality is evolving faster than scientific research capacity is able to systematize its understanding. At
the heart of globalization is technological development. Today we are experiencing a profound technological revolution. In
the last twenty years more technological and scientific knowledge has been accumulated than in the entire history of
mankind. This has a positive side due to the significant advances in terms of increasing productivity that has been achieved,
due to advances in health, information and so many others. Technological progress has not had a corresponding advance in
institutional terms, especially at the civilizational level, which makes it explosive for society.The globalization of
information promotes the integration of research, seeking to contribute at the same time to a significant improvement in the
production, peer review, retrieval, dissemination, interpretation, and usefulness of scientific information. The dissemination
of knowledge is done through events, conferences, and publications. To understand a scientific field, whatever it may be, this
research considered the possibility of analyzing the elements involved, the established relationships, the processes of
production, evaluation, storage and dissemination of knowledge. Based on the quantitative and qualitative results of Web
Science, it is possible to recognize and applaud the researchers who contribute the most / contributed to the development of
different sciences / disciplines / areas of the scientific field, by analyzing their citations.The research proposes a global
hybrid conceptual model of production, peer review, storage and dissemination of scientific knowledge, based on scientific
publications (books, articles, conferences), on specialized journals, their evaluation models and the main units of measures
used, as well as indexing, for the dissemination of scientific knowledge. Hierarchical models are proposed to separate the
initiates from those who contribute the most (the highly cited) to the development of knowledge, the respective scientific
field and its characteristics of universality. It contemplates the theoretical and practical discussion of the global conceptual
model, the units of measurement and their meaning, in their different approaches.
KEYWORDS: Information. Knowledge, Production, Citation, Indexing, Peer Review and Knowledge Dissemination.
The presentation is devoted to changing styles of thinking in science. It focuses on the process of transformation of information interactions as one of the possible focal points of change.
Visual Analysis of Concept Change and Information Diffusioninscit2006
The document summarizes a plenary speech given by Chaomei Chen on visual analysis of concept change and information diffusion. Chen discusses tools like CiteSpace that can help answer questions about hot topics, turning points, and how knowledge spreads over time and space in a given research area. The talk provides a demo of CiteSpace analyzing the topic of terrorism research between 1996-2003, identifying the most studied topic, previous focus, and intellectual turning point. Chen concludes that understanding knowledge dynamics requires holistic tools to analyze large amounts of information from societal and individual perspectives.
The document discusses knowledge mapping and modeling the evolution of complex systems. It provides examples of conceptualizing different types of knowledge spaces, such as engineering knowledge, skill spaces of groups, scientific fields, and more. Mapping these knowledge spaces involves defining their dimensions, levels of occupation, and evolutionary mechanisms. Traditional knowledge organization systems like the Universal Decimal Classification are also examined as ways of ordering and representing the development of knowledge over time.
Research Data in the Arts and Humanities: A Few DifficultiesMartin Donnelly
The document discusses research data management (RDM) in the arts and humanities. It notes that RDM is often driven by science-centric policies that can alienate those in the arts and humanities. Key challenges include defining "data" and treating creative works as data, addressing different research methodologies, and the personal and non-factual nature of some arts data. The document explores issues around archiving arts data, including formats, linking analog and digital materials, and respecting the original order or collections. It proposes exercises for attendees to consider policies at their institutions and the drivers and benefits of RDM for different fields.
This is presentations for rough sets book, made in our pre-master project; as we found difficulty in understanding the equations, so we tried to put graphs for illustrating them.
Relationship of information science with library scienceSadaf Batool
Relationship of information science with library science
Presentation by Sadaf Batool
MPhil 1st semester
Table of contents
1. Definition of information science
2. Definition of library science
3. Primary history of library
4. Primary history of information
5. Progress of library science as (Library and information science)
6. IS &LS concerned task
7. Relationship of Information science with library science
8. According to S.R Nathan’s five laws
9. Difference of Information science &Library science
10. Conclusion
11. References
Definition of information science
Information science is that discipline that investigates the properties and behavior of information, the forces governing the flow of information, and the means of processing information for optimum accessibility and usability.
It primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information.
This includes the investigation of information representations in both natural and artificial systems, the use of codes for efficient message transmission, and the study of information processing devices and techniques such as computers and their programming systems.
It is an interdisciplinary science derived from and related to such fields as mathematics, logic, linguistics, psychology, computer technology, operations research, the graphic arts, communications, library science, management, and other similar fields. It has both a pure science component, which inquiries into the subject without regard to its application, and an applied science component, which develops services and products." (Borko, 1968, p.3The study of – the use of information, – its sources and development; – usually taken to refer to the role of scientific, industrial and specialized libraries and information units – in the handling and – dissemination of information. (Prytherch, 2005)
The systematic study and analysis of the – sources, – development, – collection, – organization, – dissemination, – evaluation, – use, and – management of information in all its forms, including the channels (formal and informal) and technology used in its communication. – –(Reitz, 2004) Definition of library science
The study of principles and practices of library care, and organization and administration of a library, and of its technical, informational, and reference services.
Library science as “a generic term for the study of libraries and information units, the role they play in society, their various component routines and processes, and their history and future development. (Harrods ‘Librarian’s Glossary)
Collection of reading material, its processing, organization and dissemination started with the advent of library. The knowledge and its implementation in respect of library may therefore be called library science.
The professional kn
Introductory lecture, Visit of students at DANS-KNAW, as part of the programme “Dutch Designs: Innovation in Library, Museum and Information Services in the Netherlands.” University of Washington, Seattle (Directors Trent Hill, Rose Paquet), July 18, 2019
The document discusses different approaches to knowledge organization (KO) within library and information science (LIS). It describes several traditional and modern approaches to KO, including facet analysis, information retrieval traditions, user-oriented/cognitive views, and bibliometric and domain-analytic approaches. For each approach, it discusses how semantic relationships are identified or based, such as on classifications systems, empirical user studies, citations between documents, or theories within knowledge domains.
This document provides details of a proposed panel discussion on domain analysis at the CoLIS9 conference in Uppsala, Sweden. The panel aims to introduce emerging methodological approaches and analytical techniques for conducting domain analysis. It will feature presentations from several experts in the field, including Birger Hjørland, Sanna Talja, Isto Huvila, Eva Jansen, and Jenna Hartel. They will discuss techniques such as ethnographic studies, arts-informed research, and ecological approaches. The goal is to disrupt normative assumptions about domain analysis and represent the expanding diversity of approaches. The panel also seeks to inspire more researchers to engage with domain analysis and contribute to ongoing debates around research methods in library and information
Webs of Life and Data: Impacts of open and networked data on scientific pract...Sarah Anna Stewart
A presentation on my research context presented at the Oxford Internet Institute, University of Oxford as part of the DPhil Doctoral Seminar Series on Nov. 22, 2017. This early-stage presentation provides some background and context and introduces my research topic.
This presentation is licensed for re-use under Creative Commons CC-BY license. Please cite the following DOI:
http://doi.org/10.5281/zenodo.1066021
https://www.zenodo.org/record/1066021#.WhgWnVVl_cs
Flexibility in Metadata Schemes and Standardisation: the Case of CMDI and the...Andrea Scharnhorst
Presentation given at ISKO UK: research observatory, November 24, 2021
RESEARCH REPOSITORIES AND DATAVERSE: NEGOTIATING METADATA, VOCABULARIES AND DOMAIN NEEDS
Vyacheslav Tykhonov, Jerry de Vries, Eko Indarto, Femmy Admiraal, Mike Priddy, and Andrea Scharnhorst: Flexibility in Metadata Schemes and Standardisation: the Case of CMDI and the DANS EASY Research Data Repository
Abstract:
The development of metadata schemes in data repositories (and other content providers) has always been a process of negotiation between the needs of the designated user communities and the content of the collection on the one side and standards developed in the field. Automatisation has both enabled and enforced standardisation and alignment of metadata schemes (see as an example). But, while designated user communities turned from being local users to global ones (due to web services), their specific needs have not vanished. Technology offers possibilities to give the aforementioned negotiation a new form. In this presentation, we present the Dataverse platform, used by many data repositories. We show - using the case of the CMDI metadata and the CLARIN (Common Language Resources and Technology Infrastructure)community - how the Dataverse common core set of metadata called Citation Block can be extended with custom fields defined as a discipline specific metadata block. In particular, we show how these custom fields can be connected to a distributed network of authoritative controlled vocabularies. So, that at the end semantic search is possible. The presentation highlights opportunities and challenges, based on our own experiences. Related work has been presented at the CLARIN Annual Conference 2021 (see Proceedings).
The Polifonia portal: a confluence of user stories, research pilots, data man...Andrea Scharnhorst
Cite as
Scharnhorst, Andrea, Admiraal, Femmy, van Kranenburg, Peter, Guillotel-Nothmann, Christophe, & Mulholland, Paul. (2021, September 7). The Polifonia portal: a confluence of user stories, research pilots, data management and knowledge graph technology. DARIAH Annual event 2021, Interfaces, virtual. Zenodo. https://doi.org/10.5281/zenodo.5483727
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The title of this talk borrows from the title of a chapter in a recently published book by Richard Smiraglia, Cultural Synergy in Information Institutions (7.9: What if There Were a Map?). The use of visualizations in the exploration of bodies of knowledge and for the organization of knowledge has a long history. Think in terms of the tree(s) of knowledge and large-scale maps of science (see Atlas of Science by Katy Börner). This talk introduces the work of a European network of research collaboration (a so-called COST Action) KnoweScape. KnoweScape explores how knowledge maps (from simple to sophisticated) can be made and applied to better understand, navigate, and curate collections held by libraries and archives. In terms of general research methodology, this talk is also a plea for creating overview prior to in-debt analysis and to seek for relative stable reference frameworks against which rapid changes of our knowledge can be interrogated. Looking at results produced by this community of scholars so far, it will become clear why the making of knowledge maps requires the collaboration of physicists, computer scientists, sociologists of knowledge, digital humanities scholars, and information scientists and professionals.
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Andrea Scharnhorst, Frank van der Most, Christophe Gueret, Tamy Chambers (IU, Bloomington), Linda Reijnhoudt. Presentation at the ACUMEN workshop, March 8, 2013, Copenhagen
Mapping Social Sciences and Humanities - Impact, Orientation, Understanding A...Andrea Scharnhorst
This presentation gives an overview about the current use of science maps in evaluation, strategic planning, career development; and how they could be used in future.
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This document discusses research data management in the context of non-standard archiving of research outputs, with a focus on challenges in the arts and humanities. It notes that while data reuse has long been integral to various creative disciplines, archiving creative research data presents unique issues not present in scientific disciplines. These include the personal nature of creative works, differentiating between research and personal works, issues with non-digital materials, and the blurry boundaries of creative research processes. The document raises questions around concepts like evidence, facts, and replication in subjective creative research.
The European Student Parliament organizes debates around different topics. Smart cities is one of them. What is behind the Smart City concept, how a Smart City can become MyCity, and how a map of this Smart City would look like - those are topics of the expert hearing and the follow-up debate
Debate on Production, Evaluation, Storage and DisseminationScientific Informa...AJHSSR Journal
ABSTRACT:World reality is evolving faster than scientific research capacity is able to systematize its understanding. At
the heart of globalization is technological development. Today we are experiencing a profound technological revolution. In
the last twenty years more technological and scientific knowledge has been accumulated than in the entire history of
mankind. This has a positive side due to the significant advances in terms of increasing productivity that has been achieved,
due to advances in health, information and so many others. Technological progress has not had a corresponding advance in
institutional terms, especially at the civilizational level, which makes it explosive for society.The globalization of
information promotes the integration of research, seeking to contribute at the same time to a significant improvement in the
production, peer review, retrieval, dissemination, interpretation, and usefulness of scientific information. The dissemination
of knowledge is done through events, conferences, and publications. To understand a scientific field, whatever it may be, this
research considered the possibility of analyzing the elements involved, the established relationships, the processes of
production, evaluation, storage and dissemination of knowledge. Based on the quantitative and qualitative results of Web
Science, it is possible to recognize and applaud the researchers who contribute the most / contributed to the development of
different sciences / disciplines / areas of the scientific field, by analyzing their citations.The research proposes a global
hybrid conceptual model of production, peer review, storage and dissemination of scientific knowledge, based on scientific
publications (books, articles, conferences), on specialized journals, their evaluation models and the main units of measures
used, as well as indexing, for the dissemination of scientific knowledge. Hierarchical models are proposed to separate the
initiates from those who contribute the most (the highly cited) to the development of knowledge, the respective scientific
field and its characteristics of universality. It contemplates the theoretical and practical discussion of the global conceptual
model, the units of measurement and their meaning, in their different approaches.
KEYWORDS: Information. Knowledge, Production, Citation, Indexing, Peer Review and Knowledge Dissemination.
The presentation is devoted to changing styles of thinking in science. It focuses on the process of transformation of information interactions as one of the possible focal points of change.
Visual Analysis of Concept Change and Information Diffusioninscit2006
The document summarizes a plenary speech given by Chaomei Chen on visual analysis of concept change and information diffusion. Chen discusses tools like CiteSpace that can help answer questions about hot topics, turning points, and how knowledge spreads over time and space in a given research area. The talk provides a demo of CiteSpace analyzing the topic of terrorism research between 1996-2003, identifying the most studied topic, previous focus, and intellectual turning point. Chen concludes that understanding knowledge dynamics requires holistic tools to analyze large amounts of information from societal and individual perspectives.
The document discusses knowledge mapping and modeling the evolution of complex systems. It provides examples of conceptualizing different types of knowledge spaces, such as engineering knowledge, skill spaces of groups, scientific fields, and more. Mapping these knowledge spaces involves defining their dimensions, levels of occupation, and evolutionary mechanisms. Traditional knowledge organization systems like the Universal Decimal Classification are also examined as ways of ordering and representing the development of knowledge over time.
Research Data in the Arts and Humanities: A Few DifficultiesMartin Donnelly
The document discusses research data management (RDM) in the arts and humanities. It notes that RDM is often driven by science-centric policies that can alienate those in the arts and humanities. Key challenges include defining "data" and treating creative works as data, addressing different research methodologies, and the personal and non-factual nature of some arts data. The document explores issues around archiving arts data, including formats, linking analog and digital materials, and respecting the original order or collections. It proposes exercises for attendees to consider policies at their institutions and the drivers and benefits of RDM for different fields.
This is presentations for rough sets book, made in our pre-master project; as we found difficulty in understanding the equations, so we tried to put graphs for illustrating them.
Relationship of information science with library scienceSadaf Batool
Relationship of information science with library science
Presentation by Sadaf Batool
MPhil 1st semester
Table of contents
1. Definition of information science
2. Definition of library science
3. Primary history of library
4. Primary history of information
5. Progress of library science as (Library and information science)
6. IS &LS concerned task
7. Relationship of Information science with library science
8. According to S.R Nathan’s five laws
9. Difference of Information science &Library science
10. Conclusion
11. References
Definition of information science
Information science is that discipline that investigates the properties and behavior of information, the forces governing the flow of information, and the means of processing information for optimum accessibility and usability.
It primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information.
This includes the investigation of information representations in both natural and artificial systems, the use of codes for efficient message transmission, and the study of information processing devices and techniques such as computers and their programming systems.
It is an interdisciplinary science derived from and related to such fields as mathematics, logic, linguistics, psychology, computer technology, operations research, the graphic arts, communications, library science, management, and other similar fields. It has both a pure science component, which inquiries into the subject without regard to its application, and an applied science component, which develops services and products." (Borko, 1968, p.3The study of – the use of information, – its sources and development; – usually taken to refer to the role of scientific, industrial and specialized libraries and information units – in the handling and – dissemination of information. (Prytherch, 2005)
The systematic study and analysis of the – sources, – development, – collection, – organization, – dissemination, – evaluation, – use, and – management of information in all its forms, including the channels (formal and informal) and technology used in its communication. – –(Reitz, 2004) Definition of library science
The study of principles and practices of library care, and organization and administration of a library, and of its technical, informational, and reference services.
Library science as “a generic term for the study of libraries and information units, the role they play in society, their various component routines and processes, and their history and future development. (Harrods ‘Librarian’s Glossary)
Collection of reading material, its processing, organization and dissemination started with the advent of library. The knowledge and its implementation in respect of library may therefore be called library science.
The professional kn
Introductory lecture, Visit of students at DANS-KNAW, as part of the programme “Dutch Designs: Innovation in Library, Museum and Information Services in the Netherlands.” University of Washington, Seattle (Directors Trent Hill, Rose Paquet), July 18, 2019
The document discusses different approaches to knowledge organization (KO) within library and information science (LIS). It describes several traditional and modern approaches to KO, including facet analysis, information retrieval traditions, user-oriented/cognitive views, and bibliometric and domain-analytic approaches. For each approach, it discusses how semantic relationships are identified or based, such as on classifications systems, empirical user studies, citations between documents, or theories within knowledge domains.
This document provides details of a proposed panel discussion on domain analysis at the CoLIS9 conference in Uppsala, Sweden. The panel aims to introduce emerging methodological approaches and analytical techniques for conducting domain analysis. It will feature presentations from several experts in the field, including Birger Hjørland, Sanna Talja, Isto Huvila, Eva Jansen, and Jenna Hartel. They will discuss techniques such as ethnographic studies, arts-informed research, and ecological approaches. The goal is to disrupt normative assumptions about domain analysis and represent the expanding diversity of approaches. The panel also seeks to inspire more researchers to engage with domain analysis and contribute to ongoing debates around research methods in library and information
Webs of Life and Data: Impacts of open and networked data on scientific pract...Sarah Anna Stewart
A presentation on my research context presented at the Oxford Internet Institute, University of Oxford as part of the DPhil Doctoral Seminar Series on Nov. 22, 2017. This early-stage presentation provides some background and context and introduces my research topic.
This presentation is licensed for re-use under Creative Commons CC-BY license. Please cite the following DOI:
http://doi.org/10.5281/zenodo.1066021
https://www.zenodo.org/record/1066021#.WhgWnVVl_cs
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Flexibility in Metadata Schemes and Standardisation: the Case of CMDI and the...Andrea Scharnhorst
Presentation given at ISKO UK: research observatory, November 24, 2021
RESEARCH REPOSITORIES AND DATAVERSE: NEGOTIATING METADATA, VOCABULARIES AND DOMAIN NEEDS
Vyacheslav Tykhonov, Jerry de Vries, Eko Indarto, Femmy Admiraal, Mike Priddy, and Andrea Scharnhorst: Flexibility in Metadata Schemes and Standardisation: the Case of CMDI and the DANS EASY Research Data Repository
Abstract:
The development of metadata schemes in data repositories (and other content providers) has always been a process of negotiation between the needs of the designated user communities and the content of the collection on the one side and standards developed in the field. Automatisation has both enabled and enforced standardisation and alignment of metadata schemes (see as an example). But, while designated user communities turned from being local users to global ones (due to web services), their specific needs have not vanished. Technology offers possibilities to give the aforementioned negotiation a new form. In this presentation, we present the Dataverse platform, used by many data repositories. We show - using the case of the CMDI metadata and the CLARIN (Common Language Resources and Technology Infrastructure)community - how the Dataverse common core set of metadata called Citation Block can be extended with custom fields defined as a discipline specific metadata block. In particular, we show how these custom fields can be connected to a distributed network of authoritative controlled vocabularies. So, that at the end semantic search is possible. The presentation highlights opportunities and challenges, based on our own experiences. Related work has been presented at the CLARIN Annual Conference 2021 (see Proceedings).
The Polifonia portal: a confluence of user stories, research pilots, data man...Andrea Scharnhorst
Cite as
Scharnhorst, Andrea, Admiraal, Femmy, van Kranenburg, Peter, Guillotel-Nothmann, Christophe, & Mulholland, Paul. (2021, September 7). The Polifonia portal: a confluence of user stories, research pilots, data management and knowledge graph technology. DARIAH Annual event 2021, Interfaces, virtual. Zenodo. https://doi.org/10.5281/zenodo.5483727
This project aimed to enhance findability and searchability of the Linked Open Data (LOD) cloud by indexing vocabularies relevant to the social sciences and humanities (SSH) domain using knowledge organization systems (KOS). The project objectives were to: 1) Develop methods to index the LOD cloud with SSH vocabularies; 2) Develop recommendations for SSH communities to publish LOD datasets while reusing existing vocabularies; and 3) Develop guidelines for archiving and ensuring sustainability of SSH LOD datasets and domain-specific vocabularies. The project achieved indexing of SSH vocabularies and developed guidelines for LOD publication and archiving, while further work is pending on applying the indexing principles to the LOD cloud
Andrea Scharnhorst, Femmy Admiraal, Dirk Roorda: DARIAH
Contributions /In-kind contributions - Activities and Services:
A visual walk through the Contribution tool. Paper given at the DARIAH Annual event 2019, Warsaw May 15-17, 2019
Data curation and data archiving at different stages of the research processAndrea Scharnhorst
Henk van den Berg, Jerry de Vries, Andrea Scharnhorst (2019) Data curation and data archiving at different stages of the research process. Presentation given at the DANS Colloquium on Research and Data: Women readers finding their literary foremothers, March 21, 2019, The Hague
SUSTAINABILITY BEYOND GUIDELINES: How our perception of research infrastructures shapes our understanding of sustainability?
Presentation by Francesca Morselli/Andrea Scharnhorst(DANS, DARIAH CIO) (with contributions by Jennifer Edmonds (Trinity, DARIAH) and Mike Priddy (DANS))
March 2019, EURISE workshop Utrecht
Information science in practice - research at a Trusted Digital ArchiveAndrea Scharnhorst
DANS is an institute of KNAW and NWO that operates as a Trusted Digital Archive. The presentation discusses DANS' role in archiving research data and the importance of research at an archive. It provides an overview of current research topics and projects at DANS, including work on data reviews, linked data, and digital preservation with organizations like DARIAH. A key area of focus is the work of Herbert van de Sompel on reference rot and studying science through usage data to map knowledge over time.
Bibliometrics, Webometrics, Altmetrics, Alternative metrics.Andrea Scharnhorst
DANS is an institute of the Royal Netherlands Academy of Arts and Sciences (KNAW) and the Netherlands Organization for Scientific Research (NWO) that focuses on digital archiving and long-term accessibility of research data. The presentation discusses the development of metrics to measure science over time, including bibliometrics, altmetrics, and new types of metrics for research assessment. It argues that metrics should be tailored to their purpose and granularity of analysis, and that qualitative research should complement quantitative metrics. New research information systems and ontologies can help understand science dynamics if they clearly communicate their scope and limitations.
Andrea Scharnhorst (2016) Humanities and ICT. Introduction at the Workshop National Infrastructure, Social Science and Humanities, January 20, 2015, ePlan workshop at NLeSC, Amsterdam.
Knowledge maps for libraries and archives - uses and use casesAndrea Scharnhorst
A. Scharnhorst, R. Smiraglia, C. Gueret, A. Salah (2015) Knowledge maps for libraries and archives - uses and use cases. International UDC Seminar "Classification & Authority Control: Expanding Resource Discovery” , The National Library of Portugal in Lisbon, 29-30 October 2015.
Digital Humanities in The Netherlands DARIAH, CLARIN, CLARIAH, … DHx.0 A pers...Andrea Scharnhorst
Digital Humanities has grown significantly in the Netherlands over the past decade. Several major initiatives have contributed to its development, including DARIAH, CLARIN, CLARIAH, and the Computational Humanities program of the Royal Netherlands Academy of Arts and Sciences. The document discusses the growth of Digital Humanities through metrics like publications and conferences. It also highlights community-building efforts like the Digital Humanities course registry and pilot project registry. The future of the field remains unclear - it may remain distinct from other humanities or become absorbed as digital approaches are more widely adopted.
Drowning in information – the need of macroscopes for research fundingAndrea Scharnhorst
Andrea Scharnhorst (2015) Drowning in information – the need of macroscopes for research funding. Presentation at the international conference: PLANNING, PREDICTION, SCENARIOS - Using Simulations and Maps - 2015 Annual EA Conference - 11–12 May 2015 Bonn
Digital Humanities as Innovation: ‘constant revolution’ or ‘moving to the su...Andrea Scharnhorst
Andrea Scharnhorst & Sally Wyatt
Paper given at the "New Trends in eHumanities" Research Meeting of the eHumanities group, 4 June 2015
Digital Humanities as Innovation: ‘constant revolution’ or ‘moving to the suburbs’?
Mapping Digital Humanities projects. A pilot of a DH project registry for The...Andrea Scharnhorst
Mapping Digital Humanities projects - A pilot of a DH project registry for The Netherlands
Presentation given at the DH Benelux Antwerp June 8-9, 2015
Stef Scagliola, Barbara Safradin, Almila Akdag, Hendrik Smeer, Linda Reijnhoudt, Sally Wyatt, Andrea Scharnhorst
This document discusses knowledge maps and observations from year 1 of the KnoweScape project. It contains several sections on the uses of knowledge maps including for personal digital archives, databases of projects, literature review bases, and catalogues of libraries. Additional sections discuss forms of knowledge maps such as scientific diagrams, web-based interactive visualizations, and art. The document outlines functions of knowledge maps such as communicating, navigating, analyzing, and managing. It addresses audiences and sources of images used and provides an outlook on embracing new technologies, visualizing research problem and literature spaces, and education in visualization.
Models and Maps of Science. Maps and instruments for the navigation on the ocean of scientific knowledge
Andrea Scharnhorst
"Modeling epistemic and scientific groups: interdisciplinary perspectives" Nancy, November 25-26, 2013
Cross domain knowledge discovery, complex system theory and semantic webAndrea Scharnhorst
Cross domain knowledge discovery, complex system theory and semantic web - or - Why Otlet?
Aida Slavic, Christophe Gueret, Andrea Scharnhorst
Presentation at the First Annual KnowEscape Conference,
Nov 18-20, 2013, Aalto University, Espoo Finland
This presentation from the UDC Conference 2013 discusses methods from statistical analysis and complexity theory applied to structure and evolution of a library classification system - the Universal Decimal Classification. (with Richard Smiraglia and Almila Akdag Salah)
This document provides an overview of analyzing dynamics of information and knowledge landscapes. It discusses structures without names in complex networks and how to name them. It also discusses where Wikipedia is going based on a Knowledge Space Lab project mapping design versus emergence. Finally, it discusses intangible libraries and archives with visual interfaces and graphical knowledge engines to browse collections. It provides contact information to join related events and working groups.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Why do we need to model the science system?
1. “Why do we need to model
the science system?”
Talk at the seminar of the Eindhoven Centre for Innovation
Sciences, June 2, 2016
Andrea Scharnhorst, Royal Netherlands Academy of Arts and Sciences, DANS
2. Story line
• How got I roped into this?
• What kind of models do we hunt for?
• There is no one model of science – but there is also not really an overview
about them or a tool box
• Why do we need them?
• Do we have enough good data for predictive models of science dynamic?
• Modeling and measuring of science – living apart together
• Barriers and actions
• If only I had ….
5. System-Umwelt-Grenze
Teilsystem 1 Teilsystem i
Teilsystem j
0
Di
0
Di
1
Ai
0
Aij
0, Mij
Aij
1
x1 xi
xj
Ai
1
CijBij
Physics
Economics
DataScience
Education
Scientific
schools
Retirement
Fieldmobility
Ebeling, W., Scharnhorst, A. (1986) Selforganization Models for Field Mobility of Physicists. Czechoslovak Journal of Physics B36 , pp. 43-46.
Bruckner, E., Ebeling, W., Scharnhorst, A. (1990) The Application of Evolution Models in Scientometrics. Scientometrics 18 (1-2), pp. 21-41
Darwinian selection among scientific fields
6. One model, two models, many models …
Elementary unit: researcher, group, invisible college, papers,
journals, institutions,
Phenomenon: growth of scientific fields, the journal market,
the flows of citations, the structure of collaborative networks,
the boundary conditions for a successful individual career, ….
8. List of full professors in the Netherlands with an expertise tag (D category) which is seldom
!
Rare expertise types among the full professors
In The Netherlands
BUT: we tag the person
expertise build a hierarchical system
…..
Reasonswhyweneedmodels
Thefunctionofsmallfields
9. Communication
Text Actors
words journals references authors institutions countries…
Co-word maps
Semantic maps
(Callon, Rip,
White)
Citation environments
of journals
(Leydesdorff)
Maps of science
(Boyack, Börner, Klavans;
Leydesdorff, Rafols)
Bibliographic coupling
Citation networks
Co-citation networks
(Marshokova, Small/Griffith)
Productivity
(Lotka)
Coauthorship
(…..)
Disciplinary profiles
Performance
Impact
(…..)
International
collaboration
(…..)
What is a topic?
What is a paradigm?
What are fields and
disciplines?
What are the hot areas and
research fronts?
What are the knowledge flows?
Core and periphery
of knowledge exchange in
a globalized economy
Biographies, key player,
Individual vs group dynamics
Key players, evaluation
Meaning of a citation, deeper understanding of knwoledge flows
Sentiment of citations Small, Thelwall, Boyack…
Theapplicationofamodel
isonlyasgoodas…
10. Measuring and modelling the sciences
Stochastic processes
& indicators
Science maps, network analytics
& epidemic processes
Hirsh index
Lucio-Arias, D., & Scharnhorst, A. (2012). Mathematical Approaches to Modeling Science from an
Algorithmic-Historiography Perspective. In A. Scharnhorst, K. Börner, & P. van den Besselaar (Eds.),
Models of Science Dynamics (pp. 23–66). Berlin, Heidelberg: Springer. doi:10.1007/978-3-642-23068-4_2
13. On the way…
• Workshops to raise awareness
• Special issues, books, review articles
• Data mining and data visualisation
• Interaction with stakeholders in science policy
14. Informa on Professionals/
Informa on Scien sts
Social Scien sts
Computer Scien sts
Physics/Mathema cs
Digital Humani es
Information professionals
• Collections, Information retrieval
• WG 1 Phenomenology of knowledge
spaces
• WG 4 Data curation & navigation
Social scientists
• Simulating user behavior
• WG 2 Theory of knowledge
spaces
• WG 4 Data curation &
navigation
Computer scientists
• Semantic web, data models
• WG 1 Phenomenology of Knowledge Spaces
• WG 4 Data curation &navigation
Physicists, mathematicians
Digital humanities scholars
• Collections, interactive design
• WG 3 Visual analytics – knowledge maps
• WG 4 Data curation & navigation
Participating communities
• Structure & evolution of
complex knowledge
spaces, big data mining
• WG 2 Theory of
knowledge spaces
• WG 3 Visual analytics –
knowledge maps
www.knowescape.org