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University Information Services - Staff Learning & Development
Theme: STEMM Research Skills
4 matching courses
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 literature reviews, projects and other related research activities. The structure of the session will move through the processes of basic keyword generation, constructing search strings, understanding which resources to search, developing critical evaluation skills to assess quality and relevance of found items, as well as some tips on how to keep up-to-date with new research developments.
This session is tailored to those researching and studying within the Department of Psychology and will demonstrate specific resources such as PsycInfo.
This session will be delivered using Zoom so please ensure you have it installed ahead of the session. A joining link will be sent out as part of the booking confirmation process.
If you require any help before the session, such as accessibility support, please email the Deputy Librarian for Biological Sciences, George Cronin (gmp36@cam.ac.uk), for further assistance.
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.
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.
Being a researcher can mean juggling lots of different things. You might be wrestling with funding, or promoting your work, or finding the most up-to-date research, or even where to begin with writing up that data management plan you probably should have done a few weeks ago!
This course will introduce you to each of these concepts through a short video, a bit of reading, and a quick exercise to give you some time to explore and reflect on your own research needs. By the end of the course you will hopefully have a better idea of what your funder wants from you, how you can begin promoting your work, what techniques you can use to get that really useful research, as well as having already started writing up your data management plan.
All of our content will be self-guided but the Biological Sciences Libraries Team (email: sbslibraries@lib.cam.ac.uk) will be on hand throughout to have an online chat with you if you have any further questions or want to explore something further. If you have any technical issues or need any course content in a different format, you can contact George Cronin (Library Manager for Biological Sciences) at gmp36@cam.ac.uk who will be able to help.
Related courses provided by Office of Scholarly Communication
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.
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.