MIL-OSI Translation: Dorothee Bär: “We want to be a pioneer in innovative data use”


MIL OSI Translation. Region: Germany / Deutschland –

Source: CDU CSU

Mister President! Dear Colleagues! I am delighted that today, at such a prominent time on Thursday, we can talk about a very important project of the federal government: the federal government’s data strategy.

In the last few weeks I have been asked a number of times: It’s not in the coalition agreement. Now comes the federal government’s data strategy. Does that have something to do with Corona now? – I would say: not immediately, because we actually started with the data strategy before Corona. But what also became very clear last year, of course, was that data-driven business models and digital business models have shown themselves to be much more resilient in this pandemic than was the case with other business models.

Why is strategy so important? I’ll start with the most important topic first: data saves lives. My favorite example, which we have also included in the data strategy and which we were able to implement in the cabinet yesterday – as you can see, that also works in rapid succession when it comes to the measures – is the example of the cancer registry. Thanks to the data strategy, we now have a nationwide cancer registry for the first time that brings together all the valuable data from the federal states. For the first time, research can see where which type of cancer occurs particularly often, which is particularly helpful. Cancer is still the number two killer. With the central cancer registry, we are making a very important contribution so that this disease does not cause countless families to suffer and grieve every year.

But it’s not just about science – science is of course a very important area in our data strategy -; rather, the question of whether and how we use our data is no less than everything in a digitized society. Innovation, economic growth, progress in health, progress in mobility, modern education, effective climate protection – all of this is of course much easier with data.

Of course, the subject of data is not new. We just tend to emphasize the dangers, less the opportunities and less the innovation behind them, in one place or another. That is why we have chosen this innovative approach with the data strategy that we want to leverage the potential that lies primarily in the use of data. We have to leverage this potential. The same applies to data: Size matters. According to BDI, the value creation potential of the data economy by 2025 for Germany alone is up to 425 billion euros. If you look at the whole of Europe and not just Germany, the value creation potential for the next ten years is estimated at up to 1.25 trillion euros.

This shows what we also observed in digital politics in the pandemic last year. That’s why we postponed the data strategy a few more months because we wanted to include the findings from last year.

First, as I said, these data-driven business models are more resilient.

Second, it has also become clear that we are unfortunately not at the forefront of this innovative use of data worldwide. On the contrary: the vast majority of the data generated in Europe is not used at all; a lot, a lot of data is only used once. Scientists and companies even assume that we do not use over 90 percent of all available data at all. That has to change if we as a state, if we want to remain competitive and sustainable as a society. Data sets are data treasures.

If you look at medium-sized companies, our small and medium-sized companies, you can see that they are sitting on these very important and correct data treasures. It is sensor data, it is machine data that often remains completely unused. Of course, data and digital applications also make life easier for every single person. That means we are right in the middle of the data society. We want to take all areas of society with us.

First, of course, we need the infrastructure as a foundation. In the data world, this ranges from chips to computing capacities in supercomputers, cloud and edge computing to quantum computers. We also want to improve the provision of data here, make it easier and share data via shared infrastructures. This means that with the supercomputers we can also make large amounts of data usable for very complex climate models, for simulations and here too we can make a very important contribution to mastering this task of the century and to the preservation of creation.

(Applause from the CDU / CSU)

Second: innovative use of data. That was also our main focus, asking: How can we simply become better, more innovative? We want to create incentives to share data and use it to develop new business models, from data trustees to promoting technology and research to anonymize personal data.

Thirdly, it is very, very important – and we will again show that very strongly this month – the topic of data literacy. Of course, the best data doesn’t help us if we don’t understand it. That is why data literacy is also our third chapter in data strategy.

Fourth. We want to make the state a pioneer because – I am firmly convinced of this – a digital state demonstrably promotes trust in democracy. That is why we, as an administration, have to improve our own data competence. Part of the data strategy also includes hiring a chief data scientist in each individual federal ministry – not only in the ministries, also in our federal chancellery – because we say: the data that is in the administration must also be used better.

That means there is a lot at stake. We want to be a pioneer in the innovative use of data, otherwise we will hand over the social organization. I would particularly like to thank the coalition groups for the open and intensive exchange and for the good cooperation in advance. But I also hope for great support from the whole House; otherwise we will not be sustainable or competitive. I believe that the data strategy is a very positive, important addition and it will also enable us to bring Germany to the top in terms of data use and data innovation.

Thank you very much.

(Applause from the CDU / CSU and from Saskia Esken [SPD])


EDITOR’S NOTE: This article is a translation. Apologies should the grammar and / or sentence structure not be perfect.

MIL Translation OSI