Research data and records

The meaning of 'research' is original investigation undertaken to gain knowledge, understanding and insight.

The Australian Code of the Responsible Conduct of Research

Research data are generated for different purposes and through processes such as:

Experiments

Captured from laboratory equipment. These are generally reproducible, but reproduction would be costly. Some examples include gene sequences, chromatograms and chemical analyses of rocks.

Simulations

Generated from test models. Examples include climate, mathematical or economic models.

Derivations or compilations

Can be reproducible but reproduction costs would be high. Examples include text and data mining, compiled databases, 3D models.

Collections

Comprise peer-reviewed datasets, most probably published and curated. Examples include gene sequence databanks, chemical structures or literary research.

Published research results

Include tables underpinning the conclusions of published conference papers, journal articles, books or book chapters or technical reports.

Research records include

Correspondence (email and paper correspondence)
Data management plans
Grant applications and research contracts
Ethics applications and confidentiality agreements
Technical reports
Signed consent forms
Expenditure reports

Tip

Research records, like research data, should be managed throughout the entire research life cycle.

Research data - types

Documents (text, Word), spreadsheets and presentations
Laboratory notebooks
Field notebooks, diaries
Questionnaires, surveys, transcripts
Audio and video tapes
Photographs and films
Test responses or results
Slides, artefacts, specimens, samples
Collection of digital objects acquired and generated during the process of research
Data files
Database contents (video, audio, text, images)
Models, algorithms, scripts
Contents of an application (input, output, schemas)
Methodologies and workflows
Standard operating procedures and protocols