So good morning and now something completely different as Kei said.

Okay so the first thing I would like to do is to introduce shortly what we do in Openair.

So for those who don't know, Openair is the so-called open science research infrastructure

for Europe and its role is twofold I would say.

So in a way it's supposed to favour and channel the message of open science at the national

level where practices require national regulations like the open access stuff and so on.

At the thematic level, this is one of the reasons I'm here in fact, so we're trying

to facilitate the process of moving towards open science roadmaps of communities but also

learn from those communities who are more mature and transfer the knowledge to other

communities.

And at the global level, we are acting more at the level of standards for example, at

the level of strategies or national strategies, so we have strong collaboration all around

the world.

I have to say Europe is quite ahead in these matters and that there's a lot of work being

done worldwide to align on common understanding of science.

On the other hand, what we do is also to provide services, so technical services, which are

trying to facilitate this process and bridge say what is being done at the discipline level

internally.

So if you look at one discipline, most of the time you will see that scientists are

well educated on how to perform their experiments and so on and they're not very well educated

on how to share what the work is, right?

So in most communities, the trend is to share only articles and nothing else, while open

science, you know, wants more demands, more transparency and reproducibility of science.

And this community has its own understanding of what kind of research products they're

producing, how these are interconnected with each other and so on.

At the same time, we have another level on top, which sits on top of all communities,

which we should feed and we should agree on as different communities in order to monitor

science as a whole, monitor trends, define new incentives, new mechanisms for incentives,

compare different sciences and where possible actually bridge different sciences.

So make some of the research products flow from one context to another.

So we provide a number of services here.

Some of them are at the lower level.

I'm sure you know about Zenodo.

There are other stuff like Amnesia for anonymization of sensitive data.

Argos for data management plans and several other tools that allows community services

to publish and deliver to the scholarly communication infrastructure, their products.

Let's say open up and review many of the products that are today hidden behind community services

and practices and how to unroll them into the scholarly communication domain at the

level of publications, now resource data and so on.

On top of that, we have a number of services for monitoring.

So tracking what's going on in order for others to explore the current scenario.

So for example, Skoll Explorer is one of those services.

We are collecting scholarly communication links between research products such as publications

and datasets and we are opening them up worldwide.

So repositories are using them, Scopus is using them and so on.

We have validator services that are there to make sure data sources in the scholarly

communication domain can align on metadata standards.

Feed them at the community level or cross community level.

So you just feed this validator which will report to which extent you are complying to

certain guidelines and not.