Virtual data room advantages as a call to action.

This article views virtual data room advantages as a call to action. Issues raised and proposed solutions are a proposal for discussion. The discussion on big data should also take into account the positive focus of government activities in this area. The first approaches to this were presented in the article. A particular problem in this context, of course, will be the issue of localization of data storage locations and server farms.

In this context, social and ethical issues are of paramount importance. Only the right approach from these perspectives can provide a foundation of trust that enables state-level Big Data analytics. Regarding the problems of regulating the current and future practice of working with big data, immediate action is needed in two key areas: when decisions are made on the basis of data, it is necessary to find a model of how these decisions can be placed under democratic control. Similarly, we need to discuss how to handle those algorithms that can be described as gatekeepers of our digital perception.

Why need data room. We live in a data space, and these algorithms are glasses through which we look at this space. We should be able to choose our own glasses. And we must be able to film them in order to see the public space that we share with everyone else in our society. All this is currently not the case and most likely will not take place in the near future.

Therefore, we urgently need a debate involving all stakeholders and all relevant stakeholders. These include, among other things, civil society, politics, science, as well as those involved in the collection and processing of data, regulators and various government structures. At the same time, with any creative thinking about the possible future of a state with big data, we must be careful not to have some kind of “compromise approach” when promises of the effectiveness of new technologies overshadow basic social contexts rather than social issues. only their symptoms are eliminated.

We need not only computing power, but also people who can handle this. Big data analysis is often based on probabilistic methods and serves to reduce uncertainty. However, in the words, the value and nobility of politics lies precisely in the ability to make decisions in the dark. The answer to the question of the dangers of abuse in a scenario in which a “bad” government comes into the presence of a national treasury lies in a constant focus on democratic values.

Despite all possible technical precautions (partial and limited access to important data, documentation requirements, etc.), the best protection against abuse will be found in a society with functioning democratic institutions. Not data, but its analysis is a panacea for politics. But a functioning society is a necessary foundation for the fruitful and safe use and design of the digital age!

Although a perfectly functioning society will always be an unattainable ideal, it is still good practice to go in this direction or swim. The EU Commission’s life manifesto has the motto to understand how to overestimate traditional ideas on the spot and develop new methods and forms of interaction: Build a raft while it floats. If we take this picture you want, then our world is now awash with big data. The raft will consist of the rules that unite our society. It will be a matter of deciding when to share the buoyancy of the data, and when to close the racks to avoid getting your feet wet. You are invited to join us!

Although the European Data Protection Act prohibits decisions based solely on automated data analysis that have legal or other significant consequences for a person (unless the person agrees with such decisions under a contract or has no other legal basis). However, there are forms of profiling that do not require personal data that make these laws applicable. For example, a specific behavior when used on a web page or a specific browser parameter may already trigger the output of content with an algorithmic effect without collecting data that is subject to data protection laws.