Interested in anonymizing your data?
In the context of OpenAIRE, we are developing a data anonymization tool that will help data owners to safely share their data with experts and the scientific community. The key idea in anonymization is that identifying information is removed from the published data, so no sensitive information can be attributed to a person. The anonymization procedure is not limited to the removal of direct identifiers that might exist in a dataset, e.g. the name or the Social Security Number of a person; it also includes transforming secondary information, e.g. age, zipcode, that might indirectly lead to the true identity of an individual. This secondary information is often referred to as quasi-identifiers. Quasi-identifiers are usually presented in a more abstract or generalized form, e.g, instead of the exact age of a person (e.g., 31 years old) we can present an age category (30-40 years old). The transformation is applied so that a privacy guarantee for the anoymized dataset is provided and the data are transformed as little as possible.
Are you a Data Producer And want to work with us to anonymize your data?
Then come talk to us! Balancing the strength of the privacy guarantee and the quality of the anonymized data is a crucial point that requires working closely with data owners and field experts. To this end, we are interested in collaborating with data owners that wish to share their data, but are reluctant due to privacy concerns. We are interested in understanding the privacy threats in each case and in developing the most suitable metrics for assessing the quality of the data in each field. This knowledge will help us render our tools useful and easy to use for all data producers, while it will help you comply with EC's H2020 and other funder mandates.