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Zoekresultaten (44)

HBO/WO

MBO

1 september 2023

Measuring academic impact: Journal level metrics

Journal level metrics Journal level metrics measure the influence of a journal, taking into account the number of citations received by articles published in the journal. Why can journal level metrics be important for you? JIF: Journal Impact Factor Calculation method Where to find the JIF Comparing journal based on the JIF. Video Journal Citation Reports 2021 CiteScore Calculation method Where to find CiteScore Comparing journal based on CiteScore Video: CiteScore metrics in Scopus SJR: SCImago Journal Rank Calculation method Where to find SJR Comparing journals based on SJR SNIP: Source Normalized Impact per Paper Calculation method Where to find SNIP Comparing journals based on SNIP Be aware of bogus journal metrics! Next to the Journal Impact Factor, CiteScore, SJR and SNIP you might encounter other journal level metrics, for example on the homepage of a journal or in an e-mail you receive from a publisher or editor. Related. Suggested. Support.

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Erasmus University Library

27 november 2024

Libguide Research Impact & Visibility

There are many things you can do to enhance the visibility of your research. By comparing traditional and alternative metrics for research impact, the libguides explains researchers how to increase their visibility. The libguide also explains on how to create researcher profiles online to enhance visibility.

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Universiteitsbibliotheek Utrecht

1 september 2023

Measuring academic impact: Tracking your research impact: sources & metrics

Tracking your research impact Research impact can be measured in many ways. Citation databases and alternative metric tools can be used to assess the output and impact of an individual’s paper or body of work. Three main bibliometric sources Various tools are available to identify a range of bibliometrics. Alternative sources and metrics Certain disciplines, journals, and document types may not be well represented in the more traditional sources for citation analysis, such as Web of Science and Scopus. Limitations There has been much debate about the use of bibliometrics in academia. Support The Research Evaluation and Assessment Service (REAS) team of the University Library - member of the Research Intelligence Community EUR - is available to consult with faculty and staff about measuring research impact. Related. Suggested. Support.

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Erasmus University Library

1 september 2023

Measuring academic impact: An author-level metric: the H-index

An author-level metric: the h-index The H-index, proposed by physicist J.E. Hirsch (hence the H) in 2005, is a way to measure the individual academic output of a researcher. Which H-index? To create the list of publications and the number of citations received you can use different sources. Determining the H-index in Web of Science, Scopus and Google Scholar In these handouts you can find the steps to determine the H-index of a researcher in. Related. Support.

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Erasmus University Library

1 september 2023

Measuring academic impact: Altmetrics

Altmetrics: online attention surrounding your research output. Altmetrics (alternative metrics) are an alternative for or complement to traditional citation impact metrics. Altmetrics especially capture online attention - how has research been shared, discussed and reused online -, for example on Twitter, in scholarly blogs or policy documents, in newspapers. Tips and tricks Suppliers of altmetrics Several companies collect altmetrics, with their own definitions and sources. Technical and practical side of altmetrics. Activity - collecting altmetrics in Altmetric Explorer. Related. Suggested. Support.

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Erasmus University Library

14 september 2023

Publication strategies & Open Access: Watch out for predatory journals and publishers

Watch out for predatory journals and publishers Received an email lately encouraging you to publish with a new exciting sounding journal? Before you send your manuscript, take a few minutes to check up on that journal. It might be an invitation from a 'predatory journal'. Some tips to identify (potential predatory) journals and publishers When you want to check up on a journal - is it a predatory journal or not? -, take some time to look at its features. Tips to identify an Open Access option for your article. Related. Suggested.

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Erasmus University Library

11 augustus 2023

Doing the literature review: Selecting databases

Selecting databases You have to decide which databases you will use in your literature search. To limit location bias, you have to use more than one database. Make an informed choice! In this module we list some database features you can take into account. What about Google Scholar? Google Scholar indexes websites with scholarly articles – including websites of academic publishers, university repositories and personal websites of researchers. Related.

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Erasmus University Library

23 augustus 2023

Practical: Federated Learning - Train deep models

Understand how to train models using the Federated Learning framework Understand how local data distribution affects the federated learning Becoming familiar with a high-level framework like TensorFlow

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HCAIM Consortium

10 augustus 2023

Research Data Management: Open Data

What is Open Data? Open Data is data that anyone can access, use and share. Open Data challenges intelligent and creative minds to provide societal value. Open Data applications allow us to make better use of existing resources and create new products and services. Open Data is also one of the cornerstones of Open Science, a concept central to science practitioners and policy makers of today, promoting (re)use of research data and results amongst scientists, the business community and society as a whole. Open Data and academic research In academia, Open Data are used in humanities and cultural heritage research communities (e.g. Journal of Open Humanities Data (JOHD), Europeana); Open Data are also common in the life sciences (e.g. Elixer) and in economics (e.g. World Bank). Some open datasets can be useful to explore societally relevant questions relevant to current policy debates and topics of interest to specific demographics. Open Data is also important for educational purposes (e.g., see Bishop & Kuula-Luumi, 2017). Open Data applications Open Data helps to create (new) value for societies, citizens and businesses. There are now several examples of successful startups with innovative applications of Open Data. Appealing examples are available in health, transport, energy and the environmental sector (see ODINE for examples). I want to work with Open Data. Where to start, who to contact? A good starting point for information and inspiration on “all things” Open Data is the Open Data Handbook. This online handbook provides case studies, learning resources and networked information on Open Data. Related. Support.

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Erasmus University Library

10 maart 2025

EPIFFANI Project Results

These are the combined results for the EPIFFANI Project by Prof. Nicolas Mangin. This project was funded buy SURF's Stimuleringsregeling open en online onderwijs. The aim of the project was to build and test a set of four open source applications for R/integration into the LMS, which allowed teachers to easily automate formative testing through IT solutions. With these applications, teachers can easily and quickly create automate the processing of making tests with personalized feedback for students. The results have three elements: A full project report, which provides context for the creation and creation process A link to Youtube video demonstration of the tools, made for the University of Groningen's education festival 2022 A link to the Github page of project lead Nicolas Mangin. On this page, all the packages can be downloaded, and documentation and instruction are available All tools are licensed under a GPL-3 license, but as this license is not available, it has been noted as CC BY-SA here.

Document

Nicolas Mangin