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Expert Interviews: Dr Sachin Chaturvedi

By Dr Ellen-Marie Forsberg , Dr Sachin Chaturvedi

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...

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

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...

Open Access Publishing

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...

Data Protection and Ethics

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...

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...

Text mining for linking wheat data with literature

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...

Tutorial: Variable Detection and Linking in Social Sciences Publications

Intended audience Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

The objective of this tutorial is to showcase how Social Science researchers can take full advantage of the OpenMinTeD TDM platform for Detecting and Linking Variables in Scientific Publications.

OpenMinTeD Use Case – Funding Mining Extractor

Intended audience Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: aware of

This tutorial walks users through the simple process of creating a workflow in the OpenMinTeD platform that allows them to identify acknowledged projects (i.e. funding information) from scientific publications.

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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.

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.

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