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Research data management
It’s an increasingly common condition of funding that the data associated with your work should be made available, accessible, discoverable, and usable.
Our series of data management modules contain all the information you need to help you comply with these requirements. You will also discover how sharing research data can help with reproducibility issues and provide your peers with existing work to build on.
The modules explain the solutions already in place to support you in sharing, and explore how you can cite data and why that can benefit your career. You will also be introduced to data management plans and receive advice on building an effective one.
What you will learn
- Why data sharing is so important
- An introduction to data management plans
- Information about the sharing solutions on offer
How to conduct evidence-based research
It’s natural to think that all research is evidence based given the long citation lists that research papers come with.How to manage and publish your research data
The need for sharing data today expands beyond its purpose of promoting transparency and reproducibility.How researchers store, share and use data
Discover the advantages of data sharing and how you can contribute to improving research reproducibility.Creating a good research data management plan
Find out why you need a data management plan and what it takes to write an effective one.How researchers benefit from citing data
An in-depth look at citing data and how it can help you build your reputation as a researcher.Topic
Topic
- Certified Peer Reviewer Course
- Job search
- Finding the right journal
- (-) Career planning
- Social impact
- Research collaborations
- Book writing
- (-) Writing skills
- Publishing in the Chemical Sciences
- Open science
- Funding
- Career guidance
- Fundamentals of manuscript preparation
- Ensuring visibility
- Becoming a peer reviewer
- Research data management
- Fundamentals of publishing
- Fundamentals of peer review
- Ethics
- Technical writing skills
- Going through peer review
Type
Language
Language
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