GLOSSARY
This glossary was created and/or compiled from the participants of the OpenAIRE train-the-trainer bootcamps
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Secondary sourcesDefinition: Secondary sources of information are the ones that analyze, describe, interpret, review or restate information found in primary resources or other secondary resources These can be scientific monographs, reviews, reviews, articles in scientific or popular journals etc. Reference: Clark State Community College Library. Management 1000: Primary, Secondary anf Tertiary Sources. https://lib.clarkstate.edu/c.php?g=573958&p=3957821 | |
Sensitive dataSensitive data is information that should be protected against unauthorised disclosure because unauthorised access may negatively affect the privacy of an individual, trade and business secrets or even security. In the context of research, sensitive data usually include personally identifiable information (names, date and place of birth, place of living, employment information, etc.), health information, and other private or confidential data. Even in case of sensitive data, it is still possible to adhere to
FAIR principles and open science by making the metadata freely
available, while not enabling public access to the underlying data.
These data can be managed through access control mechanisms and
anonymisation and pseudonymisation. Source: https://www.openaire.eu/how-to-comply-with-horizon-europe-mandate-for-rdm (Glossary) | ||
Synthetic dataSynthetic data is data artificially generated by programmatic means. It is commonly based on real data and used in Artificial Intelligence to increase the amount of data used for training purposes. Synthetic data could be used, for instance, instead of (or in addition to) anonymized data about patients and treatments (i.e., clinical data). | ||