On this page you will find definitions and acronyms, we have grouped them by topic; privacy, data management, and open science and open data.
- Anonymization – The process of completely removing all identifying and identifiable personal information from a dataset.
- AVG – Algemene verordening gegevensbescherming, the Dutch implementation of the GDPR
English Wikipedia | Nederlandse Wikipedia | Official Website
- DPIA – When a Privacy Review shows that a (planned) project is likely to result in a high risk of physical, material or non-material damages to data subjects, it is necessary to systematically analyse, identify and minimise these risks by upgraing the review to a Data Protection Impact Assessment – DPIA.
- GDPR – General Data Protection Regulation, the EU legislation on data privacy protection
English Wikipedia | Nederlandse Wikipedia | Official Website
- HIPAA – Health Insurance Portability and Accountability Act, an American privacy regulation regarding health information data.
English Wikipedia | Nederlandse Wikipedia | Official Website
- Informed Consent – A legal basis for conducting research on personal data, the data collector informs the participants on how data is going to be collected, processed, published, who will have access, how to withdraw from participation, and how long the data will be retained.
- Privacy Review – An evaluation of the data collection and protection practices undertaken in a research project.
- Pseudonymization – The use of aliases or codes to replace names in a dataset. Data that has been pseudonymized has not met the threshhold for publishing the data and is still subjected to the GDPR/AVG.
Data Cite – A metadata standard created to make datasets discoverable. Currently on version 4, UU YoDa platform uses this metadata standard.
English Wikipedia | Nederlandse Wikipedia | Official Website
DOI – Digital Object Identifier, a system of creating long term, persistent links to digital objects such as journal articles, datasets, reports, etc.
English Wikipedia | Nederlandse Wikipedia
Dublin Core – A basic metadata standard commonly used in libraries to describe books, media, and other collections materials.
English Wikipedia | Nederlandse Wikipedia | Official Website
FAIR – Findability, Accessibility, Interoperability, Reuseability. Principles for data to make finding it easy, opening up access to the data as much as possible, ensuring that it can be used by multiple systems, and able to be reused for similar or different purposes.
English Wikipedia | Nederlandse Wikipedia
Metadata – Data that describes the who, what, when, where, why, and how of a dataset. Metadata is important for making data discoverable in search engines, but also for providing information to end users about what a dataset includes, who created it, how it was created, when and where it was created, and why it was created.
English Wikipedia | Nederlandse Wikipedia
ORCID – Open Researcher and Contributor ID, a researcher identification system to standardize and differentiate contributors to scientific work. An ORCID identifier is persistent, and helps to solve situations where there are multiple people with the same name, or when a name changes. ORCID is used by many academic publishers and indexing agencies to link publications to individuals.
English Wikipedia | Nederlandse Wikipedia | Official Website
Yoda – Your Data, the UU institutional data repository for long term data storage, and a platform for researchers to share open data.
Official Website
3-2-1 Rule – A principle for storing data to ensure no data will be lost if one copy of the data fails. The rule is the data must exist in 3 places, on at least 2 different storage mediums, and 1 location must be off site. This rule is best applied when the process is automated, and many UU storage systems apply this rule. The two different storage mediums part of the rule aims to avoid systemic issues with any single storage medium such as hard disk drives, solid state drives, tape drives, etc. The offsite part of the rule aims to avoid issues regarding disasters, such as a fire affecting a building, or a natural disaster affecting a city or region.
Qualitative Data – Non-numerical Data gathered through interviews, questionnaires, focus groups, and other similar methods. This data is descriptive of experiences or opinions.
English Wikipedia
Quantitative Data – Numerical data collected through measurements or other methods of observation.
English Wikipedia
DMP – Data Management Plan, a document outlining what data will be collected, where it will be stored, how long it will be stored, who will be responsible for it. These plans are becoming required more often now by funding agencies.
