Data management
made personal

We care about your data

We do not sell you a computer program. We help you to manage your data needs and succeed with your project. Our aim is to offer overall data management solutions providing personal and customised service, support and advice throughout the whole Data Lifecycle of your project.

Learn more about our services:

Research databases »

Our fully customisable platform for research, surveys, registers, inventories, quality and environmental assessment.

Surveys and applications »

Our customisable platform for surveys, scholarships, grants, certification, recruitment, courses and events.

Customised websites »

We may modify an existing platform or build a unique database solution to meet your requirements.

Consulting services »

We offer consulting services for research and survey project planning, data management, analysis and presentation.

The Data Lifecycle

Implementing a research or survey project involves several interdependent stages and aspects of data management, which may be understood in terms of the Data Lifecycle.

Planning »

Setting the initial parameters of the project comprises and affects all other phases.

  • Why data - what data?
  • Research design, aim, theory, methods
  • Database planning (storage, variables, formats)
  • Security management
  • Data legislation
  • Personal data processor agreements
  • Ethical approval
  • Consent

Collecting »

Asking the right questions in a reliable way paves the road for efficient processing and valid analysis.

  • Survey design
  • Data collection methods
  • Survey questions
  • Sampling
  • Using external data

Processing »

Once collected, data needs to be checked, prepared for analysis, and stored safely.

  • Storing and backup
  • Preparing
  • Cleaning
  • Anonymising
  • Checking
  • Sharing

Analysing »

What kind of statistical (or qualitative) analysis can and should be carried out depends on the aim of the study, the research design, and the type and quality of the collected data.

  • Descriptive statistics
  • Inferential statistics
  • Measures of association
  • Interpretation

Visualising »

The results of the analysis need to be converted into forms that can be correctly interpreted by the receiver.

  • Text
  • Tables
  • Diagrams
  • Images
  • Layout

Reporting »

Successful reporting and publishing of the results is dependent on the whole of the previous phases of the project.

  • Audience and type of publication
  • Print or web, static or interactive
  • Writing and text editing
  • Proofreading
  • Layout
  • Establishing copyright

Data afterlife

Ending a research or survey project raises practical, ethical and legal questions as to how to handle the remaining database.

  • Preserving and archiving data
  • Migrating data
  • Sharing data
  • Re-using data (follow-up research, scrutinising findings and methods, teaching)
  • Deleting data
  • Terminating contractor relations