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Everything about Data minimization
Processing only necessary personal information
Data minimization is the principle of collecting, processing and storing only the necessary amount of personal information required for a specific purpose. The principle emanates from the realisation that processing unnecessary data is creating unnecessary risks for the data subject without creating any current benefit or value. The risks of processing personal data vary from identity theft to unreliable inferences resulting in incorrect, wrongful and potentially dangerous decisions. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Data minimizationA 5-minute orientation
- Skim a recent paper: AoI Minimization for WSN Data Collection With Periodic Updating SchemeInfluential work since 2022
- Pick up a classic book: Sparse Optimization Theory and MethodsThe most-reprinted book on the subject
- Read the landmark paper: Structural risk minimization over data-dependent hierarchiesCited 297 times
- Go sideways: Information privacy lawA closely related topic
- Go sideways: Privacy lawA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Structural risk minimization over data-dependent hierarchies
Completion Time Minimization for Multi-UAV-Enabled Data Collection
Cost Minimization for Big Data Processing in Geo-Distributed Data Centers
Data minimization for GDPR compliance in machine learning models
Carbon-Aware Electricity Cost Minimization for Sustainable Data Centers
Function Minimization by Interpolation in a Data Table
A data-driven optimization heuristic for downside risk minimization
Joint Minimization of Code and Data for Synchronous Dataflow Programs
🆕 Influential since 2022
AoI Minimization for WSN Data Collection With Periodic Updating Scheme
Infrastructure Aware Heterogeneous-Workloads Scheduling for Data Center Energy Cost Minimization
Completion Time Minimization Considering GNs’ Energy for UAV-Assisted Data Collection
Recovery of Future Data via Convolution Nuclear Norm Minimization
Average Age-of-Information Minimization in Aerial IRS-Assisted Data Delivery
📚 Books worth reading
- 📕Sparse Optimization Theory and MethodsYun-Bin Zhao · 2018
- 📕Canadian MARC communication format · 1991
- 📕Waste minimizationUnited States. General Accounting Office. Program Evaluation and Methodology Division. · 1992
- 📕Canadian MARC communication format for minimal level bibliographic data · 1995
- 📕Waste minimizationUnited States. General Accounting Office · 1992
The mathematics of soap filmsJohn Oprea · 2000- 📕Going paperless with technologyUnited States. Environmental Protection Agency. Office of Solid Waste and Emergency Response · 1996
Medical imaging and augmented realityGuang-Zhong Yang, Tianzi Jiang · 2004
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Information privacy law Information privacy, data privacy or data protection laws provide a legal framework on how to obtain, use and store data of natural persons. The various…
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- Data Protection Directive The Data Protection Directive, officially Directive 95/46/EC, enacted in October 1995, was a European Union directive which regulated the processing of…
- FTC fair information practice The fair information practice principles (FIPPs) of the United States Federal Trade Commission (FTC) are guidelines that represent widely accepted concepts…
- Privacy policy A privacy policy is a statement or legal document (in privacy law) that discloses some or all of the ways a party gathers, uses, discloses, and manages…
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- Personal Information Protection and Electronic Documents Act The Personal Information Protection and Electronic Documents Act (PIPEDA; French: Loi sur la protection des renseignements personnels et les documents…
- Data Protection Act, 2023 The Data Protection Act also known as DPA or the Act is a national legislation enacted by the Federal Government of Somalia in 2023 to regulate the collection…