Researcher Development Framework

The Researcher Development Framework (RDF) is a significant approach to developing world-class researchers. It is a professional development framework for planning, promoting and supporting the personal, professional and career development of researchers in higher education programmes of related studies.

The RDF is structured in four domains comprising knowledge and intellectual abilities, personal effectiveness, research governance and organisation, and engagement, influence and impact. Each domain contains three sub-domains and associated descriptors. Increasingly the RDF has become a defacto national benchmark in researcher development, against which our programme is also mapped.

Domain A: Knowledge and Intellectual Abilities

• Advanced Excel for Data Management and Analysis • Becoming a Member of Your Discipline • Creative Thinking and Problem Solving • Critical Reading and Writing Skills • Critical Thinking • Data Analysis in R • Dissertation • Expanding Your Access to Resources for your research • Getting Started with Statistics • Getting to Know R • GitHub • How to Write a Scientific Paper (and get it Published) • How to Write and Publish a Paper • Inferential Statistics • Interviewing in Qualitative Research • Introduction to Excel • Introduction to NVivo • Introduction to Sketch Engine • Introduction to Statistics • Joining the Conversation: Engaging with the literature in your field of interest • Literature Review • Literature Searching: Using Online

Resources • Open Transparent Knowledge: design, implementation, dissemination • Qualitative Data Analysis: Methods and Techniques • Qualitative Methods • Quantitative Analysis of Survey

Data & Related Design Issues • Quantitative Data Analysis 1: Hypothesis

Testing, Sample Size and Power • Quantitative Data Analysis 2:

Correlation & Regression Methods • Survey Design & Analysis 1: Collecting,

Summarising & Analysing Survey Data • Survey Design & Analysis 2: Data

Analysis, Sample Size & Power • Technical Writing • Thesis Writing • Thesis Writing Bootcamp • The Use of Visuals in Social Science

Research • Translating Your Research Interest into a Qualitative Design Programme • Using multiple qualitative and visual methods in research • Using the RIS* • Writing for and Submitting to a Journal • Writing for Publication in Scientific

Journals

Domain B: Personal Effectiveness

• Assertiveness & Resilience • CVs, Application Forms and Personal

Statements • Effective Planning for Research

Projects • Exploring and Organising Your

Literature • How Not to Procrastinate • How to Be an Effective Researcher • How to Be More Confident • How to Cope with Stress • How to Succeed at Interviews and

Assessment Centres • Imposter Syndrome – Sources and

Solutions • Managing Pressure Positively • Maximise Your Memory • Overcoming the Challenges of

Research

Domain B: Personal Effectiveness (continued)

• Poster Presentation • Rapid Reading • Reflexivity • Research Degrees Internal

Examiner Training** • Research Degrees Supervisor

Training** • Teaching and Supporting Learning: Continuing Professional Academic

Development (CPAD) module • The British PhD and How to Bag One • The Viva and Process of Research

Degree Examination • Thriving Resiliently • Writer’s Block and How to Overcome it • Writing for and Submitting to a Journal

Domain C: Research Governance and Organisation

• A Guide to Applying for External

Research Funding for New

Researchers (PGRs and ECRs) • Attracting Funding: Writing &

Applying for Fellowships • Data Protection Law • Grant Writing Workshop for PhD and MSc by Research Students • Intellectual Property Law • NHS Research Ethics • Open Access: How it can help you • Plagiarism and How to Avoid It –

Online • Registration and Doctoral Review

Assessment • Research Data Management • Research Ethics • Research Integrity Online • Responsible Research (Health and Safety)* • TurnItIn

Domain D: Engagement, Influence and Impact

• Build a Research Website in under 3 Hours • Communicating Your Research

Online: Digital Tools, Strategy and Impact • Designing Publication Quality

Figures and Graphics • Developing your Impact Plan • Getting Published and Promoting

Your Research • Introduction to Research Impact • Poster Presentation • Public Speaking for PGRs and

Academics • Raising the Visibility of Your

Research • Research Office Induction* • Social Media Bootcamp • Working with Supervisors • Writing for Publication in Scientific

Journals

* Suitable for academic staff engaged in research and research staff** Potential and current research supervisors and examiners only

Flowchart for RDP Courses in Quantitative Methods and Software Delivered by SSCU

This chart is a guide which shows the different RDP courses being delivered by the Statistical Services and Consultancy Unit (SSCU) and the prerequisites that each course requires. After the common “Getting Started with Stats” course, delegates may want to choose the “Survey Design & Analysis” stream (aimed at those doing research involving surveys of people) or the “Quantitative Data Analysis” stream (aimed at those doing research involving experiments, etc.). Delegates may also want to undertake courses specific to the R software and/or Excel.

Arrows show pre-requisites

for courses. Ideally, students/ staff should attend the prior courses (or already have the equivalent prior knowledge) before attending a course

Getting Started with Statistics

Survey Design & Analysis Quantitative Data Analysis R Courses Excel Courses

Introduction to Excel

AND

Collecting, Summarising & Analysing Survey Data

Further Data Analysis, Sample Size & Power Hypothesis Testing, Sample Size & Power

Correlation & Regression Methods Getting to Know R Advanced Excel for Data Management and Analysis

OR

AND

Methods-oriented courses (using Excel/SPSS) Data Analysis in R Software oriented courses