STEMM Research Skills Training Programme 2018-2019

If you already know the basics of Research Data Management (RDM) – for example backing up your work, file storage options - but now need to know more about effective strategies for sharing your data, then this course is for you!

This course gives a brief recap on RDM and then covers managing personal and sensitive data in the context of the new GDPR legislation, why it is a Good Thing to share your data, and how to do this most effectively in terms of describing your data, deciding where to share it, and using licences to control how your data is used by others. You will even get to write your own Data Management Plan (DMP): these help you manage your data throughout a project and after it has ended and are increasingly required as part of a grant or fellowship application. You will also learn about the range of support services available to you within the University for managing your data.

If you are completely new to the concept of research data management then the beginners course is for you.

Referencing where you got ideas and inspiration from for your research is a core skill for any good researcher. In this session, you will learn about the University of Cambridge's approach to plagiarism, as well as giving tips and tricks on how to avoid being caught out through bad referencing techniques. You will also be shown handy tools that can do a lot of the work for you as well as managing your literature reading list throughout your work and beyond.

Bring along your laptop, tablet or mobile phone to join in with our interactive referencing quiz and put your knowledge to the test! You might even win a prize!

This session will help prepare you to begin your literature review. You will learn strategies for searching for relevant material, how to troubleshoot common search problems, and how to stay up to date with new publications in your field.

Please bring a laptop, tablet or other web-enabled devide with you to the session.

This session equips participants with all the fundamental skills that they need to build and execute effective search strategies to locate and critically evaluate relevant materials for assignments, literature reviews, projects and other related research activities. The structure of the session with move through the processes of basic keyword generation, constructing search strings, understanding which resources to search, before finishing with developing critical evaluation skills to assess quality and relevance of found items

This session will develop skills that will help you get the most out of your literature review. From a foundation of effective search strategies, you will learn how to critically appraise academic literature, techniques for getting through sources quickly and evaluating their relevance, engaging with key material and beginning to write your literature review itself, as well as ensuring accuracy in your citations and references.

Please bring a laptop, tablet or other web-enabled device with you to the session.

This session will introduce participants to the wide range of platforms and services that are available to help you manage your online presence as a researcher. We'll look at academic tools like ORCID, Google Scholar and ResearchGate/Academia.edu, as well as an overview of some of the more popular social media platforms. We'll also have discussions around issues such as the risks of sharing research through these platforms and reaching wider audiences. We will also show participants how to flip these tools and use them to access research for their own work too.

This session explores why you should share your all research as widely as possible and how you can go about doing so. It will demonstrate the potential that Open Research can have in maximising exposure for your work and how you can track and trace how your research is being shared online.

Please bring your own internet-enabled device to this session.

This session introduces participants to the concept of research data and all the forms that it can take. It will then look at managing different types of data depending on its type, such as its sensitivity. Different storage methods are discussed as well as best practice approaches to avoid serious data loss during a research project. Effective data management approaches will be explored, as well as how to create a data management plan, before concluding with an overview of useful tools and services

You own your own research right? Well it depends. In this session we will explore the sometimes very complicated world of copyright and what can happen when you publish your work. We'll also introduce you to concepts such as third party copyright, and how you can use existing licencing tools to maximise the reach of your research as well as using other peoples work to advance your own, but legally.

This session aims to help you navigate your way through the metrics maze. It will enable you to discover research by using metrics and how metrics can determine online impact.

It will introduce article metrics, personal indicators such as the H-index, and altmetrics. Various tools including Web of Science, Scopus, Google Scholar and Altmetric will be demonstrated. Please bring your own device if you wish to follow along with the session.

This session will provide an overview of the support and resources available from libraries and other useful departments from across the University of Cambridge. It will also provide an introduction to the Researcher Development Programme STEMM sessions offered by library staff on a wide range of useful research themes and skills.

After this session, participants will have a better understanding of what services are out there to help support them in their time at Cambridge and who they can ask for help.

Referencing where you got ideas and inspiration from for your research is a core skill for any good researcher. In this session, you will learn about the University of Cambridge's approach to plagiarism, as well as giving tips and tricks on how to avoid being caught out through bad referencing techniques. You will also be shown handy tools that can do a lot of the work for you as well as managing your literature reading list throughout your work and beyond.

Bring along your laptop, tablet or mobile phone to join in with our interactive referencing quiz and put your knowledge to the test! You might even win a prize!

You own your own research right? Well it depends. In this session we will explore the sometimes very complicated world of copyright and what can happen when you publish your work. We'll also introduce you to concepts such as third party copyright, and how you can use existing licencing tools to maximise the reach of your research as well as using other peoples work to advance your own, but legally.

This session explores why you should share your all research as widely as possible and how you can go about doing so. It will demonstrate the potential that Open Research can have in maximising exposure for your work and how you can track and trace how your research is being shared online.

Please bring your own internet-enabled device to this session.

This event will allow participants to explore lots of different tools and resources that can help them with their work at Cambridge.

Tools and resources on offer include:

• streamlining academic work (IFTTT, LaTeX, Overleaf, alerts)
• managing academic outputs (ORCiD, Apollo, Symplectic Elements, Metrics)
• industry and the world of work (LinkedIn & advice from the Careers Service)

Participants will be able to rotate between different areas to hear short presentations (15 mins) and explore tools that they want to know more about. Handouts on all the tools and resources on offer will be available. The event will be led by librarians from across the Cambridge University Libraries community.

Participants can drop in to the event at any convenient time but we do encourage you to book so we can have an idea of numbers. All are welcome but this event will have a particular relevance for STEMM graduate students and researchers.

You do not have to stay for the full event duration.

Refreshments will be available on a first come, first served basis. Support for this event has been provided by the Researcher Development Programme.

What would happen to your research data if your lab exploded, or your laptop was stolen, or your cloud storage account was hacked? How could you prevent data loss in these situations? Managing your data effectively is vital to help you do this.

This workshop will introduce the basic principles of Research Data Management (RDM) and how they are relevant throughout the research life cycle.

Intended for those who are new to RDM, this course will firstly explain what RDM is, and then go on to cover basic data back-up and storage options, file sharing tools, and strategies for organising your data, as well as providing guidance on managing personal or sensitive data. You will also learn about the range of support services available to you within the University for managing your data.

If you already have a basic understanding of RDM then the advanced course is probably more appropriate for you to attend.

If you already know the basics of Research Data Management (RDM) – for example backing up your work, file storage options - but now need to know more about effective strategies for sharing your data, then this course is for you!

This course gives a brief recap on RDM and then covers managing personal and sensitive data in the context of the new GDPR legislation, why it is a Good Thing to share your data, and how to do this most effectively in terms of describing your data, deciding where to share it, and using licences to control how your data is used by others. You will even get to write your own Data Management Plan (DMP): these help you manage your data throughout a project and after it has ended and are increasingly required as part of a grant or fellowship application. You will also learn about the range of support services available to you within the University for managing your data.

If you are completely new to the concept of research data management then the beginners course is for you.