"data minimisation" is a correct and usable term in written English.
It can be used when discussing data protection laws and processes, or when discussing the need to keep data collection to a minimum. For example, "In order to comply with data protection regulations, it is essential to practice data minimisation in our organisation."
One of their most important principles is data minimisation.
Cora Han, an attorney in the privacy and identity protection division at the FTC, said that companies involved with the IoT should consider "data minimisation" a priority.
"Samsung failed to disclose material information about the privacy practices of the app … and failed to implement reasonable data minimisation procedures," Epic said.
Data protection laws in the UK favour data minimisation and purpose specification, which run contrary to the basic principles underpinning machine learning algorithms, which need big data to draw valuable insights.
This will inevitably lead to a higher compliance bar across the sector and there will definitely some thorny legal challenges to navigate (like the proposed consent requirement for profiling in the new regulation) but I predict that organisations that embrace transparency, choice, data minimisation and smart design will find a path through to growth and profit.
Although the existing directive already contains the principle of "data minimisation", Mr Newman said that the new law would reinforce the idea by declaring it "a right".
Fitting the model to experimental data involved minimisation of least square deviation between experimental and theoretical curves, with the use of Hooke and Jeeves algorithm as implemented in DBsolve package.
This takes into account both policy-based data management and minimisation of storage costs. .
This takes into account both policy-based data management and minimisation of storage costs.
A possible solution would then be to evaluate the 4D velocity vector of the boundary corresponding to ℋ k V This approach, however, would not explicitly take into account the structure of multiview data in the minimisation.
Researchers have been trained on aspects of data collection, bias minimisation and potential sources of contamination and data will be double entered to avoid inaccuracies from human error.
