Analysis of Research Data

Analyse research data, interpret results generated and link them to the research question or related findings in scientific literature

Type

Domain

Competency Area

Evidence-based Practice

Levels

Apply statistical and analytics techniques to research data and interpret results

Apply data transformation and preparation techniques to datasets with guidance

Summarise data using descriptive statistics, figures, graphs and tables with guidance

Apply appropriate statistical and analytics techniques to analyse quantitative data with guidance

Apply appropriate statistical and analytics techniques to analyse qualitative data with guidance

Determine significance and effect size of findings with guidance

Identify potential interpretations for obtained results with guidance

Review analysis of data to ensure accuracy under guidance

Interpret research findings under guidance

Apply statistical and analytics techniques and provide guidance to junior researchers

Apply data transformation and preparation techniques to datasets

Summarise data using descriptive statistics, figures, graphs and tables

Apply appropriate statistical and analytics techniques to analyse quantitative data

Apply appropriate statistical and analytics techniques to analyse qualitative data

Determine significance and effect size of findings

Use visualisation software to create visualisations for presenting results

Identify potential interpretations for obtained results

Review analysis of data to ensure accuracy

Interpret research findings

Drive the analysis of research data and the interpretation of results generated

Evaluate available software and tools to determine appropriateness for analysing and visualising different datasets

Determine how data should be prepared to facilitate intended analyses

Evaluate adequacy of results in answering research hypotheses or questions

Determine most impactful visualisation of results

Articulate implications of results to topics or areas in one’s field of research and how it adds to current knowledge

Relate findings to current literature

Train others in application of statistics, analytics, visualisations and research approaches

Determine important data to report to relevant stakeholders, including governing bodies

Collaborate with statisticians for data analyses, where necessary

Drive synergies in the analysis of data across research studies to derive new insights

Drive consistency and quality in analyses of research data across the department

Identify opportunities for synergies in data analyses across research studies across organisations, nationally or internationally

Synthesise findings across multiple research studies to derive new insights into topics or areas in one’s field of research or to the areas of interest to the organisation or funding agencies

Articulate implications of results in relation to areas of interest to the organisation or funding agencies

Advocate for application of statistics, analytics, visualisations and research approaches

Provide consultation of data analysis or interpretation for large scale or national projects