Resources by relevance

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Intended audience Librarians and Repository managers, PHD Students, Policy makers and Funders, Publishers, Project Managers, Researchers and Students, Research Administration
Level: Introductory: no previous knowledge is required

This course shows you how sharing preprints can improve your research and support Open Science. By the end of the course, you will:

  • know what preprints are
  • be able to find a suitable preprints platform to share your early findings
  • understand the pro and cons of sharing preprints
  • be aware of h...
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Intended audience Librarians and Repository managers, PHD Students, Policy makers and Funders, Project Managers, Publishers, Researchers and Students
Level: Introductory: no previous knowledge is required

This course helps you to become skilled in Open Access (OA) publishing in the context of Open Science. By the end of the course, you will:

  • understand how to publish your work openly and be aware of the advantages
  • be able to find an OA publisher for your research
  • know how to find a suitable repository to...
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Intended audience Librarians and Repository managers, PHD Students, Policy makers and Funders, Project Managers, Research Administration, Researchers and Students
Level: Introductory: no previous knowledge is required

This course covers data protection in particular and ethics more generally. It will help you understand the basic principles of data protection and introduces techniques for implementing data protection in your research processes. Upon completing this course, you will know:

  • what personal data are and how you can protect them...
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Intended audience Librarians and Repository managers, PHD Students, Policy makers and Funders, Project Managers, Publishers, Research Administration, Researchers and Students
Level: Introductory: no previous knowledge is required

This course introduces Open Source Software (OSS) management and workflow as an emerging but critical component of Open Science. The course explains the role of software sharing and sustainability in reproducibility, trust and longevity, and provides different perspectives around the sharing and reuse of computational code and methods, namely...

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Intended audience PHD Students, Policy makers and Funders, Research Administration, Researchers and Students, Publishers, Librarians and Repository managers
Level: Introductory: no previous knowledge is required

Data-driven research is becoming increasingly common in a wide range of academic disciplines, from Archaeology to Zoology, and spanning Arts and Science subject areas alike. To support good research, we need to ensure that researchers have access to good data. Upon completing this course, you will:

  • understand which data you ...
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Intended audience Librarians and Repository managers, PHD Students, Policy makers and Funders, Publishers, Research Administration, Researchers and Students
Level: Introductory: no previous knowledge is required

This course introduces some practical steps toward making your research more open. We begin by exploring the practical implications of open research, and the benefits it can deliver for research integrity and public trust, as well as benefits you will accrue in your own work. After a short elaboration of some useful rules of thumb, we move qu...

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Intended audience Librarians and Repository managers, Researchers and Students, Research Administration, PHD Students, Researchers and Students
Level: Introductory: no previous knowledge is required

This introductory course will help you to understand what open science is and why it is something you should care about. You'll get to grips with the expectations of research funders and will learn how practising aspects of open science can benefit your career progression. Upon completing this course, you will:

  • understand wh...
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Intended audience Programmers, Researchers and Students, Text and Data miners
Level: Advanced: apply

The Freeling component provides basic language analysis functionalities (tokenization, lemmatization, Pos Tagging and dependency parsers.) for the variety of languages that Freeling includes (English, Spanish, Portuguese, Italian, French, German, Russian, Catalan, Galician, Croatian, Slovene). The specific usage scenario for this component co...

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Intended audience Programmers, Researchers and Students, Text and Data miners
Level: Advanced: apply

The objective of this component is to scan a tokenized text to detect entries in BabelNet in the input document. This component is the base of entity linking and word sense disambiguation as it detects the candidates to be disambiguated. The component produces WSD item annotations as defined in the DKPro WSD typesystem. Afterwards, disambigua...

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Intended audience Industry and Business, Programmers, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

This tutorial includes three parts that describe how to use the Wheat Phenotypic Information Extractor and the two end-user applications, WheatIS and AlvisIR, that integrates its results for the use case developed by Inra during the OpenMinTeD project.The application extracts information related to wheat on phenotypes, genes, markers, species...