DATA ANALYSIS & VISUALIZATION

Analysis of scientific data and scientific mapping

Translating raw data into reversible statistical results, models, graphs and research expressions.

Data analysis orientation

  • Data cleansing, descriptive statistics, high-profile testing, regression and differential analysis.
  • Machine learning characterization engineering, modelling training, cross-certification and interpretability analysis.
  • Batch processing of spectral, chromatography, electrochemical and time series data.
  • Meta analysis, sensitivity analysis, heterogeneity and publication bias assessment.

Scientific mapping orientation

  • Paper data charts, group charts, flow charts, mechanism charts and installation diagrams.
  • Graphical summaries, research flows, Fund application charts and reporting materials.
  • Harmonization of fonts, units, labels, colours and resolution to improve readability and regulation.

Repetitivity

For bulk or long-term items, scripts, data dictionaries and output templates can be collated so that subsequent data updates can be repeated.

Technology needs assessment

A description of the research issues, then a methodology and workload.

Existing submissions, target indicators and expected time frames to facilitate the development of implementable programmes.

Liaison consultants