Informationen, Daten und ihre guten Beziehungen

„Daten- bzw. Informationseigentum“ müssen neu gedacht und definiert werden. Dieser Gedanke war mir während meiner Arbeit an meinem Buch „Digitalotopia – Sind wir bereit für die (R)Evolution der Wirklichkeit?“ gekommen und hat sich bei der Übersetzung des Buches “The Open Revolution” von Rufus Pollock noch weiter vertieft. Die Idee und Kernthese dazu lautet, dass für das digitale Informationszeitalter und für die Einführung einer Open Welt die Definition eines „relationalen Dateneigentums“ bzw. eines „relationalen geistigen Eigentums“ eine notwendige Säule ist.

Open Revolution – Buch

In diesem wichtigen und provokanten Buch wird eine neue Diagnose für die Missstände des digitalen Zeitalters vorgestellt und ein Weg in eine gerechtere, innovativere und profitablere Zukunft aufgezeigt.
Wird die digitale Revolution uns eine digitale Diktatur oder eine digitale Demokratie bringen? 

Ein Buch das ALLE lesen sollten, die sich mit den Themen Reform des #Urheberrecht, #Artikel13 (neu: Artikel 17), #Artikel12 (neu: Artikel 16), #Artikel11 (neu: Artikel 15), #Uploadfilter, #Leistungsschutz, #SaveTheInternet, geistiges Eigentum, Teilhabe und (digitale) Demokratie beschäftigen.

“Open Revolution” ist eine Übersetzung ins Deutsche durch Sascha Berger des englischsprachigen Buches “The Open Revolution” ( von Rufus Pollock (

Digitalotopia – Sind wir bereit für die (R)Evolution der Wirklichkeit?


„Digitalotopia“ ist ein Ort in der Zukunft, der so gut sein kann und wird, wie wir ihn gestalten. Digitalotopia ist eine kritische Auseinandersetzung mit der Digitalisierung und ein Entwurf einer nachhaltigen und humanen digitalen Utopie. Digitalotopia ist auch Buchprojekte sowie ein Website-Blog, um Denkanstöße zu liefern, Konzepte sowie Strategien zu skizzieren und einen Beitrag zu einer für das Digitalzeitalter notwendigen Aufklärung 2.0 zu leisten.  Dazu wird ein fundierter Überblick über die wichtigsten Facetten der Digitalisierung und Digital Technologien gegeben, Zusammenhänge hergestellt und Grundlagen verständlich gemacht. Auch werden Fragestellungen zu Herausforderungen, Risiken sowie Chancen für einen durch die Digitalisierung bzw. durch Digital Technologien angetriebenen ökonomischen, ökologischen, politischen und insbesondere gesellschaftlichen Wandel sowie Fragen nach dem Menschsein aufgegriffen. Die dazu angebotenen Antworten und Denkanstöße sollen Grundlage für einen offenen Diskurs sein.

The lost 21st Century for Historical Science, no Big Data because of GDPR and Data Ownership Regulation?

News from the future, news from Digitalotopia:

It is the year 2118. At an international conference held in Asilomar, scientists from various disciplines declare the 21st century a lost century from a historical point of view. For their research, the scientists would like to use the big and many data generated at that time to gain valuable insights for medicine, sociology or historical science with their superintelligent computers. In the meantime, humans have succeeded in making artificial superintelligence, freely flowing data streams but nevertheless protected personal rights usable for exclusively meaningful and humane applications. But most of the data from that time was deleted. Only from small data, which could be reconstructed from inscriptions on gravestones, from eBooks or dusty books in national libraries, from documentaries or from Hollywood films, it is possible to derive by means of data-analysis how people lived at that time or what moved the people of that time.

What happened back then? It was the beginning of the digital age. People were insecure as to what would happen to their data. Data was misused several times. The most prominent example in the history books was the Facebook and Cambridge-Analytica scandal. By the way, both companies no longer exist today. Cambridge Analytica filed for bankruptcy shortly after the scandal became known. The social network Facebook, which from today’s point of view is prehistoric, was declared one of the commons infrastructures and it led to the foundation of the worldwide virtual interest network Digitalotopia, a so-called Decentralized Borderless Voluntary Nation (DBVN). Today such social networks belong to people and they are controlled, managed and developed by them through participatory processes. On 25th of May 2018, the updated European General Data Protection Regulation (GDPR), which was created with positive intentions, entered into force with binding effect. Initially it led to multiple insecurity, some confusion and a fierce discourse between two opposing camps. The two camps were led on the one hand by the politician and data protector Jan Philip Albrecht and on the other hand by the author and blogger Sascha Lobo, a proponent of making meaningful use of an abundance of data. And what can you say? Somehow they were both right about their positions. Ultimately, the GDPR became a worldwide model for a data protection culture. First and foremost, Microsoft became the moral leader of the digital economy by adopting the European regulation and making it a global standard for business models. Finally, the European general regulation on data protection became an global general regulation on data protection, which was applied in all countries of the world, even in China.

So May 25th was declared a holiday all over the world, the Dataprotection Day. But nobody really had time to celebrate and sleep in that day. Because a reference ruling issued by the Hamburg Higher Administrative Court had led to the fact that every data processing service was obliged to give users the opportunity once a year to take note of the deletion of all data older than 27 months or to object to the deletion by popping up a so-called Data Delete Banner (DDB). In the DDB one could take note of the deletion of the data with a simple click on the Okay button, so that the irrevocable deletion of the data prescribed by the legislation was carried out immediately. If, however, one wanted to insist on storing the data, a multiple-stage verification procedure had to be carried out. This consisted of a 42-page explanation, which mainly used many technical terms to explain the risks of data retention. The fact that the text was actually read had to be validated with a procedure based on eye-tracking. As a result, reading really took a long time. In addition, a double opt-in and a triple‑factor authentication were used to secure consent for data retention confirmation. Only then could the service provider continue storing older personal data or special categories of personal data. Due to the technical possibilities with Big Data, however, almost everything was considered a special categories of personal data at that time and all data belonged to the users of the services due to a reform of the Data Property Regulation. So people all over the world spent every May 25th of each year all day long clicking hundreds of okay buttons in the Data Delete Banners to be able to use all services the following day again. Mai 26th of each year was, by the way, the day with the highest number of sick days of employees at that time, because they were all completely exhausted from the  previous day by the many clicks and suffered from depressive moods.

Fortunately, on August 7th 2072, a comprehensive reform of the global data protection regulation entered into force. The GDPR was replaced by Human Intelligent and Meaningful Data Usage Regulation (HIMDUR). The clean-up work took decades until all IT systems worldwide were adapted to the new regulation and all people as well as all institutions could profit from the full benefits.

Finally, August 7th was declared a worldwide HIMDUR holiday. On this day, the intelligent use of data for humane and meaningful purposes is celebrated at many festivals around the world. It has become a special tradition on this holiday to send particularly embarrassing selfies of oneself and loved ones to unknown persons in the world. Nobody is concerned about a possible misuse of the selfies, because the implementation of HIMDUR has led to unrestricted trust in cyber security. The use of blockchain technology, artificial superintelligent data guards and personal digital assistants as data-trustees prevent data from being misused by not deleting the data in the night of 25th to 26th May, but instead moving it to a historical Big Data archive. This is where the data is stored with blocking periods, so that in future historians will be able to dig it up again
and use it for data analyses after the protection periods have expired.

So far this is a fictional story!

But perhaps the European Data Protection Regulation could actually become a killer for 21st century insights by historical scientists via data analysis in the 22nd century?

Is it perhaps time to think more deeply about a highly secure Big Data Archive for historical data to preserve the valuable data generated by humans in the 21st century for future generations of scientists and historians? Surely such an archive would have to solve at least a storage space as well as a financing problem in order to become reality. The safety requirements would also pose a major challenge. The access to data from the archive might of course only be possible under observance of the legal blocking and/or protection periods respectivle it might be in open access according to the Data Retentiona & Archival Directives, as they are usual in particular for personal data (i.e. Open Access at the earliest after 10 years after death of a person). Such an archive seems to be a very sensible thing to do. After all, today’s historians only know from letters that emerged after his death, for example, that the philosopher Martin Heidegger had a love affair with his former student and politician Hanna Arendt. But the letters of the people of today and tomorrow, however, are mainly messenger messages, posts, likes or tweets.

And even without taking a look into the future, it is clear that Big Data use cases today require an abundance of data. Because only with an intelligent combination of big data and the analysis of that data, for example in medical diagnostics, can new and useful insights or findings be produced. This is not possible in the case of data frugality in which data is locked away for further use, separated from one another, not collected or even deleted.

According to the position of one camp, the #GDPR is nevertheless the necessary imposition to “preserve self-determination in the age of comprehensive information processing”. Data protection is important, as are informational self-determination and the right to privacy. But do the users of digital services really own the data they generate through their use? Is the ownership perhaps with the “Way of the Future”, the church of the Dataists, who want to pay homage there to a future artificial superintelligence. Or is the ownership rather in the hands of all human beings, and thus pass on to our descendants in particular, so that the data can be analysed by historians in the next century, and would thus be commons. The question of data ownership and data property has therefore not yet been answered clearly and meaningfully. But what exactly this means in the digital age, should be questioned again deeper also from a data philosophical point of view, in order to be able to make legal derivations from it. The #GDPR could certainly get the ball rolling. A possible approach is the concept of “relational data ownership” as explained in the article “Information, data and their good relations”.

What a #GDPR and a new data ownership regulation are not allowed to do in any case is to restrict freedom of information. It must not prevent the humane, meaningful and intelligent storage and usage of data today and in the future.

I’m looking forward to your feedback … here or on Twitter: @SaschaBerger

Hilfe, die Digitalisierungswelle rollt auf uns zu und transformiert uns! Let’s surf!

Achtung, Achtung: Schnappt euch eure Surfboards. Denn die Digitalisierungswelle rollt auf uns zu. Sie transformiert uns und nur wenn wir sie richtig gut surfen, dann macht sie uns eine bessere Welt! Ansonsten werden wir auf den Grund gedrückt. Hang loose!

Richtig erkannt, es geht hier um die Digitalisierung und die Digitale Transformation, die in aller Munde ist. Doch woher kommt diese angeblich Transformation. Was ist sie und was ist sie nicht? Gibt es sie wirklich erst jetzt oder ist sie nicht ein alter Hut, den es seit Beginn des Computerzeitalters in den 1970ern gibt.

Data-driven Company: Macht die Digitalisierung den KPI-Report überflüssig und ist sie der Schlüssel für den Geschäftserfolg von Morgen?

Data Analysis, also Datenanalyse, ist mehr als das bloße Erzeugen von Reports aus Daten. Daher ist derzeit auch häufiger die Rede von Data Science. Durch die fortschreitende Digitalisierung werden Daten in Unternehmen zukünftig mehr und mehr der Schlüssel zum Geschäftserfolg von Morgen. Unternehmen werden zu Data-driven Companies. Big Data und künstliche Intelligenz werden der Schlüssel zu wichtigen Innovationen sein. Daher müssen Unternehmen ihre immer größeren, komplexen und sich schnell ändernden Daten, die aus unterschiedlichen Quellen zusammengeführt werden müssen mit Methoden aus dem Bereich Data Science verarbeiten. Algorithmen werden Entscheidungen treffen. Und zukünftig werden Daten nicht nur in einzelnen Silos des Unternehmens verarbeitet. Dabei ist es heute sehr oft so, dass dort in den Silos spezialisierte Tools z.B. für das Thema Webtracking eingesetzt werden. Diese Tools können dann angepasste Reports generieren und daraus werden dann vielleicht Entscheidungen und Maßnahmen abgeleitet, die zur Optimierung einer Webseite eingesetzt werden. Stattdessen werden zukünftig Daten  aus verschiedenen Datensilos des Unternehmens gesamtheitlich und somit siloübergreifend zur automatischen Optimierung und Steuerung von Geschäftsprozessen unter dem Einsatz von Algorithmen genutzt werden.