 Good morning, good afternoon, good night, wherever you might be, great pleasure to be here with you today. My name is Temre Ponen, I work as the general manager of MyData Global, and here to talk to you about personal data, MyData, a human-centric approach to personal data. Now let's see, let me get my screen shared to you and we will be good to go. My apologies. There we go. Now, just a little bit of backdrop first about myself and I'm about the content here. So again, very excited to be here, OE Global is not familiar to me or us from before. We had a chance to engage some months ago and after that I was invited to give a talk and it's absolutely fabulous to have a chance to connect the personal data community with the open education community. There is a lot indeed to talk about. My background is a lot in open democracy and open data in startups in innovations in the last 20 years, originally from an IT background. And for the last couple of years have been working with the topic of personal data. And some of you will remember Tim Berners-Lee, the inventor of the web, a couple of years ago had this message of three things that are wrong with the web at the moment. One of them being the misuse of personal data. The other ones that he outlined then was the proliferation of fake news and issues with political advertising. So most certainly all those three are very relevant in the world of today. Today we will focus on the personal data aspect of that. In particular of course relating to skills, learning, education and work. And you see here on my slide the MyData logo and already that tells the story. Already this time of the day regardless of how many hours you've been awake, enormous amounts of personal data will have been gathered about you. Maybe about your learning, yes, that's the ABC sector there, maybe public transport, your energy, your self measurement, your shopping, your IoT devices, your apps that you use in your daily life. And it's a matter of well how can we control that data? How can we use that data for good? That's the essence of what we are talking about here today. So MyData, a human-centric approach to personal data management. So MyData is both an alternative vision as well as a set of guiding principles, how we as individuals can and should have control and should have agency over the data trails that we leave behind us in our daily lives. Kind of a big thought in some way, yes. And another note, maybe quite simple in principle, of course we realize quite tricky to do in practice. So let's think about what that might mean. Let's imagine that firstly, we could use personal data from wherever it is in a way that makes our everyday life easier and better. Let's assume that we can be ourselves powerful actors together with others, our choices that we do online and with our data matter. And thirdly, let's assume that we can trust that our personal data is used ethically by the different actors collecting and using that data. That's the type of world that I and we want to live in. So the vision is a fair, sustainable and prosperous digital society, which is enabled through a human-centric approach to personal data. And in this digital society, people as individuals, people as collectives get value from their personal data, but they also set agenda on how that personal data is used. And for organizations, the ethical use of data is always the most attractive option. And we're not talking here just about data collected in terms of advertising or cookies or so on, but rather about all the data that's in the databases and the registries of the services that we use. So to make this vision happen, we see that there are three fundamental shifts that need to happen. And these shifts were outlined in what's called the MyData Declaration that was written about three years ago. So we talk about the shift from formal to actionable rights. We talk about the shift from data protection to data empowerment. And we talk about the shift from closed to open ecosystems. Big fundamental shifts and I'll just explain those a little bit before we later get then to what that means in the scope of skills data. So first of all, many of the data protection laws which have existed or have recently been put in place, the GDPR and many of the other countries have put and given great rights to individuals regarding their personal data. But in many ways, those rights are still formal. And what we mean by that is that to exercise those rights is not easy, it's not straightforward, and it certainly is not a real time, most of the time. So we need to move from friction to action by making exercising these legal rights simple and easy. We talk about also one click rights. With one click, I should be able to be forgotten or to be able to download my data to give or revoke consent to transfer my data from one place to another, and so on, from formal to actionable rights. The other and second shift is a kind of a mindset shift. So we often talk about individuals, people who need to be protected. And that's great. But that's not enough. We need to move from this mindset of kind of fear and protection to giving people confidence. We want to see and know that sharing of personal data can also be good for you, it can empower us to do great things if we can combine data from multiple sources into one whole. Or if we can enable the flow of data from from from one service to another. So we don't want to just protect data and protect people, but rather to empower people to act with their data. And then thirdly, the third big shift is from closed to open ecosystems. So what we have right now, as I think we, we can relatively well agree is a set of tech monopolies, and unfortunately those monopolies tend to get only stronger with time. We need to get to a place where we have a freedom of choice among good alternatives through openness that we can truly decide what are the services we use those services should be interoperable. And in fact, this openness can create both competition. From the, from the point of the markets, it's a more functioning market, but then also on top of the big players or the dominant players, or next to them, I should say, smaller, more specialized organizations and services can can exist and come up. So these are the three, three fundamental shifts that were outlined in the my data declaration. Now, those shifts alone are not enough. There are these kind of infrastructural thinking, what kind of roles are there, and then what kind of principles need to be implemented to make this happen. But getting to the details of these now we can get to get to them later if, if need be. But firstly, individuals having control of their data, not data being being controlled and passed in behind their back. Secondly, the individual as the point of integration, not the organizations themselves, it should be easy for the individual to be be the one knowing and controlling the flows of personal data. Again, people should be empowered to give consent to revoke consent to use that data that's collected about them. And third ability, the new you write the article 20 of GDPR, which means that that we should be able to transport data from one service to another for access and reuse. We should have the transparency over how our data is used, even when when when data is used in a way in a legal way. So let's say if you are applying for a job as a teacher or such, maybe your criminal record needs to be checked. It's not a matter of consent, but you should still transparently be able to see that that data is used and how that data is is used. And finally, this interoperability between services, it really should not matter what services you use the data should be interoperable and the services should be interoperable. And now of course some some will say that okay great what we're talking about is building a whole bunch of application programming interfaces API's. Next, we want the personal data to be used through API's, but that will result in a quite a mess. That's difficult to navigate from the point of the of the end user. The other world that we have we are seeing is control and access to services being controlled through a few platforms few IDs. And that is not a well functional model either. Rather, we want people themselves to be the center point, the point of integration. And we want to have these data intermediaries or my data operators, as we call them be the kind of central tool central points where people control their personal data. There's no way to put it just as in terms of quadrants. What the my data thinking is after comparing with GDPR and the data protection laws, as well as the work of, especially the tech monopolies and giants is the combination of having strong data protection, which the GDPR gives, but combining that with lots of data usage. And by the way here, when I say that Google Facebook Alibaba Amazon others have weak data protection and lots of data usage. However, they would argue that they actually have strong data protection. Why we say that they don't is that in effectively people do not understand how their personal data is used. Alternatively, it is difficult, it's possible, but difficult to control how, how their data is used. Thus, it's difficult to say cannot be said that it's really people deciding how that data is used. Okay, it's a little bit of provocation I will admit that. The definition of open data in the title, and I mentioned also open data as one of the things that that I've been working on in the past. And we should note that when we talk about personal data personal data is by definition different from open data. There are a lot of similarities here. And in fact, the roots of the my data movement are very much building on top of open knowledge foundation and the whole open data movement. Similar. If we look at open data the core freedoms under under open data or the core core ideas is that anyone can use the data sets, like budgets like a maps like statistics, and so on. Anyone can build on those make mashups utilize those for for whatever purposes they want. And anyone can freely share the outcome of this work. So similarly, my data, or in a world where we live by the my data principles, it would mean that the print freedom for the individual is there to use that data outside of the original context. The individual has the freedom to to use that data build on it, mash up data from multiple sources, and has then the freedom to share that data further to other services or to other other people, other places. So there are a lot of similarities, but still a clear distinction between my data and open data. And of course, this this shift and this mindset, this this transformation is difficult. We can let us tomato sandwich the BLT sandwich to remind ourselves of the different perspectives. We talk about data it's not a tech thing only we talk about data protection data rights. Those are not just legal issues. So needs to be business models are our incentive models that work for the different types of parties and for people. And of course there's the whole societal view. What's the world we want to live in and the policies that direct direct us towards that vision. Is it more of a state controlled. Is it more corporation controlled, or is it human controlled. So, so this was an introduction to to my data. And before I get to skills date I want to say a few words about what's happening in the in the kind of what's happened along the way and what kind of kind of political and governmental adoption, there is at the moment. So the idea of using personal data. It's not unique to to us and the my data community, per se, people have been thinking about this for years and years. But in 2012 in Finland in Helsinki, we had the open knowledge, open knowledge event with over 1000 people there. That was focusing on open data, which which was very starting to get really big at the time. And at that time, there was one session about what do these open data movements, what might they mean for for personal data. And that's where we consider the roots of this is my data community. In the last few years, we've been able to grow the community and work with governments. So firstly, we worked with the government of Finland. Back in 2014 to build to do a white paper of what this what this approach would mean in this context. And after we did it in English in 2015, people from the European Commission, number of companies working in the space number of universities got quite interested in it. We were able to get this my data thinking into the Finnish government program, which was a great and has accelerated the development. And then coming from the open data community and learning from the open data community. We've started building and curating international conferences. Since 2016 to bring people from these different disciplines together and bridging different communities. Like I said, there there have been multiple community smaller communities working on the topic. Many not knowing about each other and the other communities. And we're very much trying to build bridges between these communities. Data issues and data sharing as a whole was very much on the agenda. A year ago when Finland held the presidency of the Council of the European Union. My data was on the on the table, but also more widely how we use research data and open data and how businesses can share data. More widely, and what kind of policies we would need for that to become become reality. And one development out of that is the European data strategy that came out in February, February the 19th of last year. And in that data strategy. My data was recognized as one of those movements that can promise significant benefits to individuals in areas including health and wellness finance environment access to public and private services and give greater insight and transparency to their personal data. And that's great. Right now, very fundamental things are happening. Relating to personal data and relating to data sharing relating to open data also actually. There are numerous European policies being in the works. The most interesting and most timely right now is the data governance act. Some of you may have seen discussions about this leaked version of the draft. Typically, typically these these documents leak in advance. And I think that the proposal is actually due out on Wednesday of this week. It outlines here, for example, the the role of these kind of data intermediaries or we call them my data operators. And how these how the infrastructure functions so we can get this fair personal data economy working. And as I said, and we've had my data in the Finnish government program. And now the data strategy outlines nine different areas nine different data spaces that the Europe, you commission wants to be established. And one of them is the skills data space. And here, I think it's written a little bit from, from a kind of a labor market point of view. Of course, we'd like to see see also considered not not purely the kind of economic and social aspect from the from the kind of institutional level, but also of course from the point of the individual. Before I get to the skills bit, just want to say then about my organization very briefly about my data global was driving this, this forward. So we are an international nonprofit headquartered in Finland with right now about 500 members from over 50 countries, and about 100 organizations involved. We work. It's very multidisciplinary bunch, you may recognize some of these companies, probably many of them you will not as they more developed the building blocks are not necessarily consumer facing facing organizations but you will see for example, some research institutes some standardization bodies and the like within the members. Like all we global, as the name says, my data global our goal and even though I've talked a lot about the European policies here. The goal is to be globally local. Because certainly the issues of personal data are not solved in Finland or in the EU only quite on the contrary many many interesting things happening. In Asia for example in Brazil in India and in Australia and numerous other countries. And of course now with with the US presidential elections and the pressure that has been there for some time. It's very interesting to see what happens over there as well. We work in in these different thematic groups of which on the top right the skills data is one interesting one, and one that has a lot of energy right now. My apologies I'm losing my voice just a little bit. I see that there were a few, I just see the icon that there has been a few messages in the chat I wonder if there is anything, anything for for me right now I'm just about to head to the, what this my data means to the, in the context of work and skills, but I just maybe pause for a second and ask William, is there anything that to be taken note of from from the chat. Yeah, I have, I have two questions. One is, you talk a lot about the European context. Do you see similar movements and developments in other countries. Yeah, so, so you like I said, right now there's many interesting things that have happened in in Japan in Korea there actually is also very like policies, particularly related to my data and they're an agency called Korea data agency has a specific unit on on personal data and they call it incidentally my data unit. In Australia there has been new legislation regarding personal data and apparently some some misdirection, perhaps, India, we often talk about Silicon Valley versus Europe versus China and that's that's a little bit polemic. But of course understandably that's that's what we talk about I think in India, lots of interesting policies there there's a bit of a data protectionism there they want to date to stay within within the country, but for good purposes for understanding better what's what what kind of economic policies would be would be needed there. And then, for example, in Brazil, new data protection laws laws there. So certainly, yes, I'm describing here, a lot of the European efforts but but we certainly are not constrained or want to talk about only, only Europe. And another question from Sean. He writes, I really like the idea of supporting the individual in attaining control over the data trills, I tend to think of this as a supply chain issue for OERs. Since inception of my data a few years ago the IT industry has gone through a major shift towards distributed lecture technologies will fully impartial lectures how do you see this change impacting your reference architecture. Well, a lot of the organizations. I mean, in. So, so in two things to that I mean first to firstly, technology agnostic in the sense that there are multiple ways to implement this kind of my data thinking and, and by the way, Tim Berners-Lee's interrupt and solid projects which you may have heard very much in line I mean also with with them with the my data principles. Now, a lot of the organizations that that logos were shown and the solutions that they create a lot or some of them are built on distributed ledgers and blockchain technologies, but there is no I can say that things must be done with with blockchain but for example, and of course personal data should not be on blockchain but but the consent and trails could be and are being utilized with the blockchain technologies are being utilized by many, many in the in the community. I'm personally not not an expert in the in the distributed ledger technologies certainly will never claim to be. Thank you. No other questions for now so please continue. Thanks William for for for those and thanks for the questions. All right, so then let's see what what it might look for look like in the future of working skills. And this is a relatively new new area for us. So, very, very much eager to hear your, hear your thinking. I'm losing my voice just a little bit so I wonder maybe maybe instead of the slides I will play this three minute video that explains what is essentially there. Just hope that I have the sound sharing should be the ecosystem. Please stop if you don't hear the sound well. We can hear the sounds. My data accelerator program presents the future of working skills, creating a human centric skills data ecosystem. We are on a mission towards a skills data ecosystem, which empowers people to achieve their dream job and enjoy lifelong learning opportunities. Unfortunately, in today's working skills market, data is fragmented in various systems. Sharing and retrieving your personal data can be time consuming and frankly frustrating, not to mention the lack of control and transparency onto how the data may be used. Our goal is to create a human centered approach to information, work and learning. We aspire to change the future of work and skills by helping people to achieve their goals easier, faster and smarter. This begins by putting the individual at the center of their data and combining their work and skills information to create a holistic profile. This includes your professional and educational experiences, skills, certificates and legal documents. The individual can also define goals, strengths, interests or preferences. To experience this ecosystem first hand, let's embark on a journey with Matilda. Imagine it's 2025 and Matilda is graduating from university where she has gained a wide set of skills in the area of business, sustainability and construction. As she transitions into a job seeker, her profile lets employment agencies know she is open for opportunities. Using her profile, Matilda receives a personalized map with options to reach her goals. She can choose to take the fast track directly to her goal or if feeling more adventurous, a scenic route which opens up different experiences and suggestions she didn't consider herself. Her route proactively suggests new opportunities based on her experiences and preferences. She can choose the opportunities she wants to pursue and safely share and update her data. As Matilda learns new skills and reaches career milestones, her profile stays up to date and she can always reevaluate her preferences to set a new course or even take a career break. The concept of this ecosystem experience is to provide a safer, more accessible and better overall work and learning experience for Matilda. It puts her needs at the core to find the most enjoyable way of achieving her goals and dream job. To build this experience for Matilda, we must think about an ecosystem effort rather than independent digital services. We are now calling for partners to join the ecosystem. To find out more, do read out the white paper or extended presentation on this topic and contact skillsdataatmydata.org. A common skills data space can change the future and we would love for you to be a part of it. Together, we can create an experience that makes work and lifelong learning easier and more enjoyable for all. So that was the skills data, the MATIC group and their work through the accelerator. And this effort, I should say, is not only theoretical but quite on the contrary, there has been some really good pilots that have taken place. There are four different aspects of this. My apologies now for having these slides in finish here. This bus two group, for example, they, so they have piloted now with dozens of in a small group still with dozens of people. So we are now looking for the creation of this digital CV with the digital CV consisting of verified quality data coming from different types of sources. In practice that means that you get things like the driver's license data. And study about extra qualifications, perhaps about your right to handle explosives or serve alcohol and such like that that are coming from different typically government registries, not necessarily but often government registries. And of course, this is not simple. We realize as the legislation the GDPR does not cover a public sector in the same way and there are issues regarding whether or not people are allowed to even with their consent to utilize and give that data for further. So in some way we're still in an experimentation phase with this. But for example, with the with the digital CV in the construction industry. I imagine that construction workers, creating good looking CVs is not necessarily the kind of key, key competence of individuals. It's been an increase been able to faster. Get people employed faster. And at the same time get get kind of quality data get people lessening the burden on on on on creating their their digital CVs and I think it's quite, quite understandable that that's such such advances will will help. Again, if we look at what kind of ecosystem players are needed there I mean we're talking about recruitment systems. We're talking about recruitment services HR services and services like like this. My apologies, I see that I have cut cut wrong slides here. So this is what it looks like here in Finland, the digital employment project. It's a mobile app that people can use where they can control their consent. This similar program is being experimented by the Swedish employment agency for meddling in and job tech. But we're still in in rather early early phases. Of course then there is the issue of like, okay, how do these. Sorry that was a wrong slide. So we, excuse me. So how do we then make this happen how do we get people looking at these data sources data using services, how do we get the interchange working you can imagine that your study records in Finland will look different from the study records in another country and and so on. So that's why we have this skills data thematic group. And the goal of the of the thematic group is to unite organizations to build a human centric skills data space. We want to influence that skills data space that one out of the nine that I mentioned that the commission wants to build, make sure that this type of thinking is embodied into into the creation of that data space. So what we would need there is to have education and training providers, different types of learning and guidance related apps and solutions to have employers, begin employers, and, and all kinds of recruitment and HR platforms, collaborating to make this happen so that individuals can access control share and keep their skills data up. Basically, ideally from one place, you are able to update your data in multiple places. So, again, the skills data thematic group, which just has formed now, less than a month ago is building on top of the accelerator that the video you saw was made by the work made by them. Building on the work of my data global and its other efforts, and on this, this skills alliance, which is already an existing community of universities and employers in the space. So uniting these into into one whole. So as I said, my data is there in the European data strategy, the skills data is in the European data strategy. And to make it happen, the Commission is also not just talking about it, but will be investing considerable amounts of funding into the space. So we expect there to be the open calls to implement these data spaces sometime early next next year. So that's why why we would. This, what I've been presenting here is of interest to you encourage you to join. Have a look at the skills data, the video the white paper and the presentation and join us on the my data slack very much an open community. We will continue work on this. Of course during this week, it will be great if we can, we can engage together. I also encourage you to join the my data online conference coming up next month, where we talk about not just the skills data but the different domains related to this, this as well. So just quick, quick plug for that. The white papers the further elaborations on the concept that I've said are available on the my data website. The my data operators white paper is is more about the infrastructure pieces needed to implement to make my data reality. And this introduction to the human centric user personal data is more of a high level and basics to get started with. And then of course the skills date as a third one. So my data declaration that I mentioned at the start, the three shifts and such is available. I encourage you to look at that in more detail. And of course, welcome to join the slack and welcome to join my data global as a member. And I think I will park it there. I think we have a few minutes for for discussion. I hope this raised up a few few thoughts. So, over to Willem. Thank you very much. Thank you for your talk and then really interesting to hear about my data. I have a question from Sean. I asked you discussed a single place of update for operators. Would the permission provided historically grant all future access. If not, how can we control the versioning the content and related permissions. We have any thoughts or examples how this is accomplished in practice. I will maybe pause and actually, and then I can also see that. So, so if I understand your question, right, Sean. And please do do fill in if you want. So, so I mean if I'm giving access. I mean, typically I'm giving right now access that yes. You know, a LinkedIn version 2.0. Yes, it can access my, my driver's license data and my university degree data from now. Now onwards, then one day I get annoyed by by LinkedIn I no longer want to be there. I revoke that consent. But in principle, if I'm giving the, and of course the consent can be as we typically have it now. I won't say typically often have from now onwards until something happens, but we can. Okay, about the version I don't know if you think what you mean by versioning here, but give consent more kind of one time. So for example, let me just just explain how how the the simple status data of somebody being a student has been used in another another use case example. So when you want to buy public transport tickets online as a student before it has been impossible. For example, in Helsinki, rather you will need to go to the public transport office show a student card. Yes, I'm a student at the university. Yes, I've got right to this discount. So instead, through this kind of my data operator into which this this public transport connects with my consent as I'm buying my my public transport ticket with my consent, the ticket provider can go on and check from a central registry. In this case, the central registry in Finland we have that whether or not I'm a student or not for that one purpose only. Sure. So you're talking about having a resume from 2015. Okay, so you're talking about your jobs history as as you update the resume. I want them to track over over over time. Yeah, in principle the the my data operators. You could have have control on and kind of stop sharing of data, revoke that sharing, and then then revisit we give that that data of course implementing those is is not trivial. I mean the kind of kind of getting your your up to update today. I mean, I mean, ideally, that that recruitment company might not even keep a file. Rather, it might ask you about your resume when whenever it needs it kind of on on on demand. So to speak, not sure if I'm if I'm answering your question shown. We have, I think. Yes, your answer to this question. So, so I have a question. So you talk about my data. We are of course are involved with open education. So it's all about sharing. Where do you see the link between those two. Well, I mean, there's lots of linkages. So I mean, first of all, the kind of philosophy of kind of sharing a building on top of is quite quite similar. Then I think a lot of the interesting use cases come from combining different types of data. So one of the things that happened with open data I think there was a lot of hype on on open data. One of the beliefs was that, okay, on particular data sets, people will build their businesses on it. But a lot of use cases will need open data. And they will need some personal data. For example, how do I compare with a sample of the population or with my co learners or whatever. My personal data combined with something something that's aggregate and that's generic how do I sleep compared to others in my population or am I an active person. Do I get my physical exercise, compared to what I should be getting. And so on. So there's, there's, there's, for example, these types of combinations which are relevant. I should say by the way, one thing which I didn't mention, we talked about my data, we don't necessarily mean ownership of that data, data ownership is a tricky concept as a whole, but rather control over over that data and this data ownership may or may not be part of that package and is certainly discussed, but it's, it's, it's, we can have control over our data without the kind of ownership piece of that. All right, thank you very much. Where we came to the end of this session and I have to be very strict this instructions I have. So thank you very much for this, this really interesting keynote. And I would like everyone invited to continue this discussion on the connect platform I shared the link in the chat. So please add your comments there are questions there and hopefully Tim will also be there and answer those. So now there isn't.