It is all the data collected, observed or produced in the research process with the aim of receiving original scientific findings. Each scientific discipline creates its own research data specific to it. All descriptions of procedures, laboratory field notes or information about experiments can be included in research data.
Open Research Data is data that can be freely used, reused and redistributed, modified and disseminated by anyone.
Open access to research data fits within the Open Science paradigm, situated within a context of ever greater transparency, accessibility and accountability. The main goals of these developments are to lower access barriers to research outputs, to speed up the research process and to increase the quality, integrity and longevity of the scholarly record.
Unique data, captured in real time that can't be "recovered", e.g. sensor readings, telemetry data, survey results, observations, images.
Revised datasets, often peer-reviewed, published and selected, e.g. gene sequence databases, census data, chemical structures.
From laboratory equipment, e.g. gene sequences, chromatograms, magnetic field readings, spectroscopy.
Results of data analyses or aggregated from various sources, e.g. databases, 3D models, text and data exploration.
Generated test models examining real or theoretical systems, e.g. climate models, economic models, engineering systems.
More information about 5-star Open Data.