Research Administration

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Open Science and Innovation
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 helps you to understand open business models and responsible research and innovation (RRI) and illustrates how these can foster innovation. By the end of the course, you will:

  • understand key concepts and values of open business models and and responsible research and innovation
  • know how to plan your in...
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Open Peer Review
Intended audience Librarians and Repository managers, PHD Students, Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Research Administration
Level: Introductory: no previous knowledge is required

This course introduces you to open peer review (OPR), an emerging practice which is gaining momentum as part of Open Science. Upon completing this course, you will:

  • understand what OPR means and how it supports Open Science
  • be aware of OPR workflows and which aspects of the review process can be conducted openly
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Sharing preprints
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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Data Protection and Ethics
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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Open Source Software and Workflows
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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Managing and Sharing Research Data
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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Best Practice in Open Research
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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What is Open Science?
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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Introduction to Text and Data Mining
Intended audience Research Administration, Researchers and Students, Librarians and Repository managers, Project Managers, Project Managers, Policy makers and Funders
Level: Introductory: no previous knowledge is required

The purpose of this introductory course is to provide a starting point to the concepts of Text and Data Mining (TDM), since the field is gradually gaining more attention from funders and researchers. The course is primarily intended for research support administrative staff, but others, such as researchers, librarians and repository...

Open Access Spectrum (OAS) Evaluation Tool/ How Open is it?
By  SPARC, OASPA, PLOS
Publication year: 2014  |  Open Science  |  Open Access
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Creative Commons badge Unless otherwise stated, all materials created by the FOSTER consortium are licensed under a CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE.



EU flag This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 612425.
This project has also received funding from the European Union's Horizon2020 programme for research, technological development and demonstration under agreement no 741839.