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Research Data Management: Data Analysis

A guide to define and explore Research Data Management

Software and tools

Software programs are critical for handling the complex or large amounts of data available to researchers, and are vital tools for manipulating and analysing data. They are also important for producing graphics of data, mapping and data mining.

The UK Data Service provides a suite of training resources and software tools used by social science data researchers.

ArcGIS

ArcGIS Online is a secure and scalable software as a service (SaaS) for your geospatial workflows. Improve decision-making by collecting and managing data, analyzing it, and easily sharing maps and apps within a connected and collaborative web geographic information system (GIS). 

Connect people, locations, and data using interactive maps. Work with smart, data-driven styles and intuitive analysis tools. Share your insights with the world or specific groups. ArcGIS Online 

ATLAS.ti

ATLAS.ti is a computer-assisted qualitative data analysis software that facilitates analysis of qualitative data for qualitative researchquantitative research, and mixed methods research. 

ATLAS.ti is a tool that supports locating, coding/tagging, and annotating features within bodies of unstructured data; it also offers visualization functions. Wikipedia

 

Manage research workflow all in one place 

  • Organize research data in a structured way
  • Leverage advanced coding features to pinpoint insights
  • Collaborate effortlessly with colleagues across your entire analysis journey.

Present research results with confidence

  • Visualize all your research insights the way you want.
  • Turn your research findings and conclusions into meaningful charts, networks, and diagrams.

Digital Content

  • Unveil valuable insights in images, audio, video, social media data, and more.

ATLAS.ti

Although ATLAS.ti is NOT open source, it is a multi-functional tool for qualitative data research and analysis.

Researchers can edit content, refine, and structure your data the way it is needed. Organize research data in a structured way, leverage advanced coding features to pinpoint insights, and collaborate effortlessly with colleagues

The data analysis can be customised. 

Data an be imported or uploaded from any source and managed in one software package.

Easily import:

  • Text Files
  • Word Docs
  • PDF Files
  • HTML Files
  • Images
  • Audio Files
  • Video Data
  • Social Media Data
  • Survey Files
  • Reference Manager Data
  • Other Qualitative Data

ATLAS.ti

Analyze and refine data

Unlock insights for:

  • Survey Data Analysis
  • Interview Analysis
  • Focus Group Analysis
  • Literature Review and Analysis
  • Content Analysis
  • UX Research
  • Homework
  • Bachelor & Master Thesis
  • Doctoral Dissertations
  • Term Papers
  • Customer Feedback
  • Qualitative Customer Data

ATLAS.ti

Visualize and share research insights

Researchers can share research insights through clear visualizations that turn dull numbers into eye-opening results. 

Make use of:

  • Bar Charts
  • Sankey Charts
  • Donut Charts
  • TreeMaps
  • Networks
  • Word Clouds
  • Tables

ATLAS.ti

Trusted by the world's leading universities and companies

ATLAS.ti

Atl.ti.

Qualitative data analysis software for use by academics and registered postgraduate students. Please email edtech@ru.ac.za

MPlus

Mplus is a latent variable modeling program with a wide variety of analysis capabilities:

  • Exploratory factor analysis
  • Structural equation modeling
  • Item response theory analysis
  • Growth modeling
  • Survival analysis (continuous- and discrete-time)
  • Time series analysis (N=1 and multilevel)
  • Mixture modeling (latent class analysis)
  • Longitudinal mixture modeling (hidden Markov, latent transition analysis, latent class growth analysis, growth mixture analysis)
  • Multilevel analysis
  • Complex survey data analysis
  • Bayesian analysisMonte Carlo simulation
  • Mplus allows all these modeling features to be combined in a fully integrated general latent variable framework

NVivo

Discover more from your qualitative and mixed methods data with NVivo, the most cited qualitative data analysis software (QDA software) in research publications.* 

Identify themes, run advanced queries, and discover evidence-based insights faster with Lumivero AI Assistant, allowing you to achieve rigorous research results in less time. 

Python

Python is a general-purpose programming language for data scientists to collect, clean, and analyse data.  It is often used because it is flexible and suitable for handling large datasets.  

  • These training materials include webinar recordings, slides, and sample Python code for core social science research tasks.

UK Data Service

R

R is a free, user developed, advanced statistical and computing programme for statistical computing and graphics.  It is increasingly used in the academic world for teaching purposes.  

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. 

One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control. r-project.org

ReStore

ReStore

P|E|A|S (Practical Exemplars and Survey Analysis) provides useful information and examples for researchers analysing data from complex samples. It also includes sections on survey non-response.

SPSS

The IBM® SPSS® software platform offers:

  • advanced statistical analysis
  • a vast library of machine learning algorithms
  • text analysis
  • open-source extensibility
  • integration with big data
  • seamless deployment into applications.

Its ease of use, flexibility and scalability make SPSS accessible to users of all skill levels. What’s more, it’s suitable for projects of all sizes and levels of complexity, and can help you find new opportunities, improve efficiency and minimize risk. SPSS

SPSS is a software package for Windows and can be used to to produce graphics of data as well as other data analysis. 

Stata

Stata is a statistical software package for data analysis. You can use Stata by pointing and clicking, or by using the command syntax.  

The software can support complex analysis, and, as it is so programmable, developers and users continue to add new features.

UK Data Service