Research data may be created by an individual researcher, group or contributed by a third party to a research group. Some examples are:
Observational: data captured in real time that is usually unique. Eg. Sensing data, survey data, field recordings, sample data: Experimental: data captured from lab equipment that is often reproducible-examples are gene sequences, magnetic field data: Models or simulations: data generated from test models where the model and metadata may be more important than the output data from the model - examples are climate models, economic models: Derived or complied: resulting from processing or combining “raw” data often reproducible: Reference or Canonical: a static or organic conglomeration or collection of datasets probably published and curated - examples are gene sequence databanks, collections of letters, historical images.
Examples of outputs to be considered
Documents, spreadsheets
Scanned laboratory notebooks, field notebooks, diaries
Online questionnaires, transcripts, surveys or codebooks
Digital audiotapes, videotapes or other digital media
Scanned photographs or films
Transcribed Test Responses
Database contents (video, audio, text, images)
Digital Models, algorithms, scripts
Contents of an application (input, output, log files for analysis software, simulation software, schemas)
Documented methodologies and workflows
Records of standard operating procedures and protocols