Tutorial at the Workshop on Open Citations: Opportunities and Ongoing Developments, ISSI2019 conference, Sapienza University, Rome, Italy, September 2, 2019.
Bibliometric visualization using VOSviewerLudo Waltman
Presentation at the workshop Research Output & Impact – New Tools and Concepts, organized at Technical University Denmark. Lyngby, Denmark, September 14, 2017.
Presentation at the Workshop on Open Citations, University of Bologna, Bologna, Italy, September 4, 2018.
I will demonstrate the use of the VOSviewer software (www.vosviewer.com), of which I am one of the developers, for creating bibliometric visualizations of science based on openly available bibliographic data sources. Both the use of Crossref data and the use of data from the OpenCitations Corpus will be demonstrated. In addition, I will show how data from Dimensions can be used. The possibilities and limitations of the currently available open data sources will be discussed, also in comparison with more established data sources such as Web of Science and Scopus. Finally, I will provide my perspective on future developments, focusing especially on the integration of open data sources and visual analysis tools.
Crossref as a source of open bibliographic metadataNees Jan van Eck
Presentation at the 18th International Conference of the International Society for Scientometrics and Informetrics, July 12-15, 2021.
Several initiatives have been taken to promote the openly availability of bibliographic metadata of scholarly publications in Crossref. We present an up-to-date overview of the availability of six metadata elements in Crossref: reference lists, abstracts, ORCIDs, author affiliations, funding information, and license information. Our analysis shows that the availability of these metadata elements has improved over time. However, it also shows that many publishers need to make additional efforts to realize full openness of bibliographic metadata. To illustrate the value of open metadata, we use the metadata in Crossref to construct and visualize a large citation network of scholarly journals.
Using full-text data to create improved term mapsNees Jan van Eck
Presentation at the 16th International Conference on Scientometrics & Informetrics, Wuhan, China, October 19, 2017.
A term map offers a visualization of a network of terms that co-occur in scientific publications. Term maps are usually created based on the titles and abstracts of publications. In this paper, we explore the use of full-text data for creating term maps. We create and compare a series of term maps based on the full text of publications in Journal of Informetrics. We use our results to discuss the advantages and disadvantages of different approaches for creating term maps.
Bibliometric visualization using VOSviewerLudo Waltman
Presentation at the workshop Research Output & Impact – New Tools and Concepts, organized at Technical University Denmark. Lyngby, Denmark, September 14, 2017.
Presentation at the Workshop on Open Citations, University of Bologna, Bologna, Italy, September 4, 2018.
I will demonstrate the use of the VOSviewer software (www.vosviewer.com), of which I am one of the developers, for creating bibliometric visualizations of science based on openly available bibliographic data sources. Both the use of Crossref data and the use of data from the OpenCitations Corpus will be demonstrated. In addition, I will show how data from Dimensions can be used. The possibilities and limitations of the currently available open data sources will be discussed, also in comparison with more established data sources such as Web of Science and Scopus. Finally, I will provide my perspective on future developments, focusing especially on the integration of open data sources and visual analysis tools.
Crossref as a source of open bibliographic metadataNees Jan van Eck
Presentation at the 18th International Conference of the International Society for Scientometrics and Informetrics, July 12-15, 2021.
Several initiatives have been taken to promote the openly availability of bibliographic metadata of scholarly publications in Crossref. We present an up-to-date overview of the availability of six metadata elements in Crossref: reference lists, abstracts, ORCIDs, author affiliations, funding information, and license information. Our analysis shows that the availability of these metadata elements has improved over time. However, it also shows that many publishers need to make additional efforts to realize full openness of bibliographic metadata. To illustrate the value of open metadata, we use the metadata in Crossref to construct and visualize a large citation network of scholarly journals.
Using full-text data to create improved term mapsNees Jan van Eck
Presentation at the 16th International Conference on Scientometrics & Informetrics, Wuhan, China, October 19, 2017.
A term map offers a visualization of a network of terms that co-occur in scientific publications. Term maps are usually created based on the titles and abstracts of publications. In this paper, we explore the use of full-text data for creating term maps. We create and compare a series of term maps based on the full text of publications in Journal of Informetrics. We use our results to discuss the advantages and disadvantages of different approaches for creating term maps.
Large-scale visualization of science: Methods, tools, and applicationsLudo Waltman
Presentation at the International Workshop on Data-driven Science Mapping, organized on the occasion of the 60th anniversary of the Department of Library and Information Science at Yonsei University. Seoul, South Korea, June 3, 2017.
VOSviewer and CitNetExplorer: Software tools for bibliometric analysis of s...Nees Jan van Eck
In this talk, an introduction is given into two software tools that have been developed for bibliometric analysis of scientific publications: VOSviewer (www.vosviewer.com) and CitNetExplorer (www.citnetexplorer.nl). VOSviewer is a popular tool that can be used for visualizing bibliometric networks of citation relations between publications, authors, and journals. In addition, the tool can be used for creating so-called term map visualizations based on a text mining analysis of the titles and abstracts of publications. The most important terms occurring in titles and abstract are identified and the co-occurrence relations between these terms are visualized. CitNetExplorer is a tool for the visualization and analysis of citation networks of scientific publications. The tool can be used to explore in detail how publications build on each other, as indicated by citation links. It is also possible to drill down into specific areas within a citation network, making it possible to perform micro-level analyses of the development of a particular area of research. In this talk, special attention will be paid to possible applications of VOSviewer and CitNetExplorer in humanities research, focusing in particular on the use of advanced text mining, network analysis, and visualization techniques for analyzing large quantities of textual data.
Nees Jan van Eck is a researcher at the Centre for Science and Technology Studies (CWTS) of Leiden University. His research focuses on the quantitative analysis of scientific research based on large amounts of bibliographic data and using sophisticated techniques from fields such as network analysis, statistics, and machine learning. Together with his colleague Ludo Waltman, Nees Jan has developed the VOSviewer and CitNetExplorer tools.
Applications of community detection in bibliometric network analysisNees Jan van Eck
In this talk, we focus on the analysis of bibliometric networks, and in particular on the detection of communities in these networks. We start by demonstrating VOSviewer, a popular software tool for visualizing bibliometric networks. We discuss the techniques used by VOSviewer for visualizing bibliometric networks and for detecting communities in these networks. We pay special attention to the close relationship between visualization and community detection, and we discuss the unified approach to visualization and community detection that is implemented in VOSviewer. We then shift our attention to community detection in very large citation networks, including millions of publications and hundreds of millions of citation relations. We show how community detection techniques can be used to construct highly detailed classification systems of science. We also discuss applications of such classification systems to science policy questions. Finally, we demonstrate CitNetExplorer, a new software tool in which community detection techniques are used to support the large-scale analysis of citation networks. We use CitNetExplorer to analyze the citation network of publications on network science and in particular on community detection.
Visual exploration of scientific literature using VOSviewer and CitNetExplorerNees Jan van Eck
Presentation at the International Conference on ICT enhanced Social Sciences and Humanities 2020, July 1, 2020.
It is essential for researchers to have an up-to-date understanding of the literature in their research field. However, keeping up with all relevant literature is highly time consuming. Bibliometric visualizations can support this task. These visualizations provide intuitive overviews of the literature in a research field, enabling researchers to obtain a better understanding of the structure and development of a field and to get an impression of the most significant contributions made in the field.
In this talk, I will give an introduction to two software tools for bibliometric visualization: VOSviewer (www.vosviewer.com) and CitNetExplorer (www.citnetexplorer.nl). VOSviewer is a popular tool for visualizing bibliometric networks of publications, authors, journals, and keywords. CitNetExplorer is a tool for the visualization and analysis of citation networks of scientific publications. I will pay special attention to applications of VOSviewer and CitNetExplorer in the social sciences and humanities, focusing in particular on the use of advanced text mining, network analysis, and visualization techniques for analyzing large amounts of textual data.
Presentation at the Colloquium Research Information Systems and Science Classifications: Revisiting the NARCIS Classification, Museum Meermanno, The Hague, The Netherlands, September 28, 2018.
Bibliometric network analysis: Software tools, techniques, and an analysis o...Nees Jan van Eck
Presentation at the LCN2 seminar on November 27, 2015.
We provide an introduction into the research program on bibliometric network analysis at Leiden University’s Centre for Science and Technology Studies (CWTS). We demonstrate two popular software tools for bibliometric network analysis developed at CWTS: VOSviewer (www.vosviewer.com) and CitNetExplorer (www.citnetexplorer.nl). We also discuss the techniques that we have developed for network layout and community detection. Finally, we use bibliometric network analysis to study the field of network science and the contributions made to this field by researchers at Leiden University.
Creating Sustainable Communities in Open Data Resources: The eagle-i and VIVO...Robert H. McDonald
This is the slidedeck for my ACRL 2015 TechConnect Presentation with Nicole Vasilevsky (OHSU). For more on the program see - <a>http://bit.ly/1xcQbCr</a>.
Visualizing the information of a Linked Open Data enabled Research Informatio...andimou
The Open Access movement and the research management can take a new turn if the research information is published as Linked Open Data. The management of the research information within institutions and across institutions can be facilitated, the quality of the available data can be improved and their availability to the public is assured. Although, non-expert users lack of understanding regarding how to take advantage of the interlinked information offered by Linked Open Data. In order to address this limitation, we present in this paper a use case of publishing research metadata as Linked Open Data and principally supporting users by consuming them through visualizations.
Presentation of http://dspacecris.eurocris.org/jspui/handle/123456789/191
Large-scale visualization of science: Methods, tools, and applicationsLudo Waltman
Presentation at the International Workshop on Data-driven Science Mapping, organized on the occasion of the 60th anniversary of the Department of Library and Information Science at Yonsei University. Seoul, South Korea, June 3, 2017.
VOSviewer and CitNetExplorer: Software tools for bibliometric analysis of s...Nees Jan van Eck
In this talk, an introduction is given into two software tools that have been developed for bibliometric analysis of scientific publications: VOSviewer (www.vosviewer.com) and CitNetExplorer (www.citnetexplorer.nl). VOSviewer is a popular tool that can be used for visualizing bibliometric networks of citation relations between publications, authors, and journals. In addition, the tool can be used for creating so-called term map visualizations based on a text mining analysis of the titles and abstracts of publications. The most important terms occurring in titles and abstract are identified and the co-occurrence relations between these terms are visualized. CitNetExplorer is a tool for the visualization and analysis of citation networks of scientific publications. The tool can be used to explore in detail how publications build on each other, as indicated by citation links. It is also possible to drill down into specific areas within a citation network, making it possible to perform micro-level analyses of the development of a particular area of research. In this talk, special attention will be paid to possible applications of VOSviewer and CitNetExplorer in humanities research, focusing in particular on the use of advanced text mining, network analysis, and visualization techniques for analyzing large quantities of textual data.
Nees Jan van Eck is a researcher at the Centre for Science and Technology Studies (CWTS) of Leiden University. His research focuses on the quantitative analysis of scientific research based on large amounts of bibliographic data and using sophisticated techniques from fields such as network analysis, statistics, and machine learning. Together with his colleague Ludo Waltman, Nees Jan has developed the VOSviewer and CitNetExplorer tools.
Applications of community detection in bibliometric network analysisNees Jan van Eck
In this talk, we focus on the analysis of bibliometric networks, and in particular on the detection of communities in these networks. We start by demonstrating VOSviewer, a popular software tool for visualizing bibliometric networks. We discuss the techniques used by VOSviewer for visualizing bibliometric networks and for detecting communities in these networks. We pay special attention to the close relationship between visualization and community detection, and we discuss the unified approach to visualization and community detection that is implemented in VOSviewer. We then shift our attention to community detection in very large citation networks, including millions of publications and hundreds of millions of citation relations. We show how community detection techniques can be used to construct highly detailed classification systems of science. We also discuss applications of such classification systems to science policy questions. Finally, we demonstrate CitNetExplorer, a new software tool in which community detection techniques are used to support the large-scale analysis of citation networks. We use CitNetExplorer to analyze the citation network of publications on network science and in particular on community detection.
Visual exploration of scientific literature using VOSviewer and CitNetExplorerNees Jan van Eck
Presentation at the International Conference on ICT enhanced Social Sciences and Humanities 2020, July 1, 2020.
It is essential for researchers to have an up-to-date understanding of the literature in their research field. However, keeping up with all relevant literature is highly time consuming. Bibliometric visualizations can support this task. These visualizations provide intuitive overviews of the literature in a research field, enabling researchers to obtain a better understanding of the structure and development of a field and to get an impression of the most significant contributions made in the field.
In this talk, I will give an introduction to two software tools for bibliometric visualization: VOSviewer (www.vosviewer.com) and CitNetExplorer (www.citnetexplorer.nl). VOSviewer is a popular tool for visualizing bibliometric networks of publications, authors, journals, and keywords. CitNetExplorer is a tool for the visualization and analysis of citation networks of scientific publications. I will pay special attention to applications of VOSviewer and CitNetExplorer in the social sciences and humanities, focusing in particular on the use of advanced text mining, network analysis, and visualization techniques for analyzing large amounts of textual data.
Presentation at the Colloquium Research Information Systems and Science Classifications: Revisiting the NARCIS Classification, Museum Meermanno, The Hague, The Netherlands, September 28, 2018.
Bibliometric network analysis: Software tools, techniques, and an analysis o...Nees Jan van Eck
Presentation at the LCN2 seminar on November 27, 2015.
We provide an introduction into the research program on bibliometric network analysis at Leiden University’s Centre for Science and Technology Studies (CWTS). We demonstrate two popular software tools for bibliometric network analysis developed at CWTS: VOSviewer (www.vosviewer.com) and CitNetExplorer (www.citnetexplorer.nl). We also discuss the techniques that we have developed for network layout and community detection. Finally, we use bibliometric network analysis to study the field of network science and the contributions made to this field by researchers at Leiden University.
Creating Sustainable Communities in Open Data Resources: The eagle-i and VIVO...Robert H. McDonald
This is the slidedeck for my ACRL 2015 TechConnect Presentation with Nicole Vasilevsky (OHSU). For more on the program see - <a>http://bit.ly/1xcQbCr</a>.
Visualizing the information of a Linked Open Data enabled Research Informatio...andimou
The Open Access movement and the research management can take a new turn if the research information is published as Linked Open Data. The management of the research information within institutions and across institutions can be facilitated, the quality of the available data can be improved and their availability to the public is assured. Although, non-expert users lack of understanding regarding how to take advantage of the interlinked information offered by Linked Open Data. In order to address this limitation, we present in this paper a use case of publishing research metadata as Linked Open Data and principally supporting users by consuming them through visualizations.
Presentation of http://dspacecris.eurocris.org/jspui/handle/123456789/191
ScienceOpen Webinar for ACS CINF DivisionScienceOpen
ScienceOpen is a next generation research + publishing network for all areas of modern science, the humanities and social sciences. Members can collaborate online and publish their results Open Access which are evaluated in a transparent community-based review process. This webinar introduction to ScienceOpen was held on August 26 2014 for the Chemical Information Division of the American Chemical Scociety.
Prof. Mona K. Tourky – U.A.E
Paper: Scientific Research and Methods of Using Electronic Pages
Program of online world forum for women in science (wfwis)
organized by university of Duhok and women in science without borders initiative (wiswb) duhok-iraq Parallel Technical Session 12 (T12) Prof. Mona K. Tourky – U.A.E
Professor Mona Kamel Tourky, a visiting professor in the public international law at the University of the Emirates and Al Hassan Al Awel University morocco - Deputy Director of the Journal of International Law and Business, Al Hassan Al Awel University - an international arbitrator - a scientific research guide.
Paper: Scientific Research and Methods of Using Electronic Pages
A Framework Concept for Profiling Researchers on Twitter using the Web of DataLaurens De Vocht
Based upon findings and results from our recent research we propose a generic frame-
work concept for researcher profiling with appliance to the areas of ”Science 2.0” and ”Research 2.0”. Intensive growth of users in social networks, such as Twitter generated a vast amount of information. It has been shown in many previous works that social networks users produce valuable content for profiling and recommendations. Our research focuses on identifying and locating experts for specific research area or topic. In our approach we apply semantic technologies like (RDF, SPARQL), common vocabularies (SIOC , FOAF, MOAT, Tag Ontology) and Linked Data (GeoNames , COLINDA).
VREs and Research Tools - supporting collaborative researchChristopher Brown
A summary of the Jisc funded VRE and Research Tools programmes and projects. Presented at the Jisc Regional Support Centre London webinar on 20 November, 2013 (http://jiscevents.force.com/E/EventsDetailPage?id=a06U000000Efx52IAB&srvc=JISC%20RSC%20London)
From Bibliometrics to Cybermetrics - a book chapter by Nicola de BellisXanat V. Meza
Disclaimer: All original texts and images belong to their rightful owners.
Chapter 8 of the book "Bibliometrics and Citation Analysis" by Nicola de Bellis.
VIVO: A Community-driven Research Information Management System: Challenges a...Muhammad Javed
Presentation given at NISO Virtual Conference.
"Research Information Systems: The Connections Enabling Collaboration".
https://www.niso.org/events/2017/08/research-information-systems-connections-enabling-collaboration
This presentation was provided by Muhammad Javed of Cornell University during the NISO virtual conference, Research Information Systems: The Connections Enabling Collaboration, held on August 16, 2017.
Patrick McAndrew, Elpida Makriyannis, Cathy Casserly & Tim Vollmer (2012), Mapping the OER Landscape. Presentation at OCWC Global 5th May 2012, Cambridge MA, USA.
CC-BY
FASTEN user experience from a software vendor perspective : The future of ext...Fasten Project
After a quick introduction of XWiki project, this presentation explains the benefits that XWiki expects to derive from FASTEN through three Use Cases and showcase how its Extension Manager has been improved to integrate FASTEN.
Globlal Perspective on Open Research: A Bird's Eye ViewLeslie Chan
Presentation at the University of Cape Town, Aug. 5, 2011. This talk was part of the OpenUCT initiative and the Scholarly Communication in Africa Programme. It provides an overview of the changing research landscape and the particular importance of open access and other forms of open collaboration for solving some of the pressing problems of development research. The presentation argues for the importance of policy development in support of research collaboration and the development of enriched metrics for evaluating the development impact of research.
Similar to Visualizing science using VOSviewer based on Crossref, Microsoft Academic, and Dimensions data (20)
Bibliometrische visualisaties voor het bijhouden van wetenschappelijke litera...Nees Jan van Eck
Het is van essentieel belang dat onderzoekers een actueel overzicht hebben van de literatuur in hun onderzoeksveld. Gegeven het enorme aantal publicaties dat wekelijks in wetenschappelijke tijdschriften verschijnt kan het bijhouden van alle relevante literatuur en het verkrijgen van een goed overzicht van een onderzoeksveld echter een uitdaging zijn en veel tijd kosten. Bibliometrische visualisaties ondersteunen deze taak. Dit soort visualisaties bieden een intuïtief overzicht van de relevante literatuur in een onderzoeksveld. Zo kunnen onderzoekers een beter inzicht krijgen in de structuur en de ontwikkeling van een veld en een indruk krijgen van de belangrijkste bijdragen in het veld.
Presentation at the Data Science seminar at the Faculty of Social and Behavioural Sciences, Leiden University, Leiden, The Netherlands, December 7, 2018.
Accuracy of citation data in Web of Science and ScopusNees Jan van Eck
Presentation at the 16th International Conference on Scientometrics & Informetrics, Wuhan, China, October 19, 2017.
We present a large-scale analysis of the accuracy of citation data in the Web of Science and Scopus databases. The analysis is based on citations given in publications in Elsevier journals. We reveal significant data quality problems for both databases. Missing and incorrect references are important problems in Web of Science. Duplicate publications are a serious problem in Scopus.
To ensure that publications are assigned to clusters in a meaningful way, we introduce the notion of stable clusters. Essentially, a cluster is stable if it is insensitive to small changes in the underlying data. Bootstrapping is used to make small changes in the data. It is shown that if we want to have an accurate and detailed clustering, we need to be satisfied with a clustering that doesn’t comprehensively cover all publications. Publications that do not clearly belong to one of the main topics in a field cannot be assigned to a cluster.
This tutorial deals with two software tools: VOSviewer and CitNetExplorer. VOSviewer (www.vosviewer.com) is a freely available tool for constructing and visualizing bibliographic coupling, co-citation, co-authorship, and term co-occurrence networks. These networks can be constructed based on data downloaded from Web of Science or Scopus. CitNetExplorer (www.citnetexplorer.nl) is a freely available tool for analyzing and visualizing citation networks of publications.
The aim of the tutorial is to provide the participants with a basic knowledge of VOSviewer and CitNetExplorer. Given time constraints, it will not be possible to explore the two tools in a fully comprehensive way, but the tutorial will offer a thorough introduction into the most essential features of the tools. This should be sufficient for the participants to perform all basic analyses that can be done using VOSviewer and CitNetExplorer. In addition, it should allow the participants to independently explore the tools in more detail.
The lecturers are Nees Jan van Eck and Ludo Waltman, both affiliated to the Centre for Science and Technology Studies (CWTS) of Leiden University. Nees Jan and Ludo are the developers and VOSviewer and CitNetExplorer, and they therefore have an in-depth knowledge of both software tools. Nees Jan and Ludo regularly organize courses and workshops on VOSviewer and CitNetExplorer (see for instance www.cwts.nl/Bibliometric-Network-Analysis-and-Science-Mapping-Using-VOSviewer), so they have a lot of experience in training people in the use of these tools.
Network visualization: Fine-tuning layout techniques for different types of n...Nees Jan van Eck
An important issue in network visualization is the problem of obtaining a good layout for a network. For a given network, which may be either weighted or unweighted, the problem is to position the nodes in the network in a two-dimensional space in such a way that an attractive layout is obtained. Many layout techniques have been proposed [1]. In the visualization of bibliometric networks, multidimensional scaling and the layout technique of Kamada and Kawai [2] have for instance been used a lot. More recently, the VOS (visualization of similarities) layout technique [3], implemented in our VOSviewer software (www.vosviewer.com) [4], is often used for bibliometric network visualization.
There is no layout technique that is generally considered to give optimal results. One reason for this is that comparisons between layouts produced by different techniques involve a lot of subjectiveness. Someone may consider one layout to be more attractive than another, but someone else may have an opposite opinion on this. In addition, the attractiveness of a layout may depend on the type of visualization that is needed. For instance, some layouts may be more attractive for interactive visualizations (e.g., in a software tool with zooming functionality), while other layouts may be more attractive for static visualizations. Furthermore, different types of networks may benefit from different layout techniques.
In recent studies [5, 6], the idea of parameterized layout techniques has been introduced. Parameterized layout techniques produce different types of layouts depending on the values chosen for their parameters. In this research, we present a comprehensive study of a parameterized version of our VOS layout technique. Two parameters are included. Like in [5], these are referred to as attraction and repulsion parameters. We compare the layouts obtained for different parameter values. Comparisons are made both subjectively using the VOSviewer software (i.e., which layout do we find most appealing?) and more objectively using so-called meta-criteria [6, 7]. Sensitivity to local optima is taken into account as well. Comparisons are made for all important types of bibliometric networks, in particular co-authorship, citation, co-citation, bibliographic coupling, and co-occurrence networks. Both smaller and larger networks are considered.
To ensure that publications are assigned to clusters in a meaningful way, we introduce the notion of stable clusters. Essentially, a cluster is stable if it is insensitive to small changes in the underlying data. Bootstrapping is used to make small changes in the data.
CWTS Leiden Ranking: An advanced bibliometric approach to university rankingNees Jan van Eck
The CWTS Leiden Ranking measures the scientific performance of 750 major universities worldwide. Using a sophisticated set of bibliometric indicators, the ranking aims to provide highly accurate measurements of the scientific impact of universities and of universities’ involvement in scientific collaboration. http://www.leidenranking.com
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Visualizing science using VOSviewer based on Crossref, Microsoft Academic, and Dimensions data
1. Visualizing science using VOSviewer based on Crossref,
Microsoft Academic, and Dimensions data
Nees Jan van Eck and Ludo Waltman
Centre for Science and Technology Studies (CWTS), Leiden University
Workshop on Open Citations: Opportunities and Ongoing Developments
ISSI2019 conference, Sapienza University, Rome, Italy
September 2, 2019