 students, we are going to see the module on which we are going to work, that is module 180 and in this we will go ahead with the ethical issues we were discussing in data ethics or data science, the transparency that is one of the very very important areas transparency actually means that it is transparent my data is your data, who is taking it, why is he taking it, where does he keep it, what purpose will it be used all these things are basically part of data transparency in this there are different options or different actions or different aspects of transparency as I just said that when the data is collected from you then you should know what is the objective of the data that is being collected, you should also be accessible and normally there is a right to consent that your data should be collected according to your wish and the data that it has to be easily accessible for you and then you should know where my data will be kept, what purpose will it be used in the previous modules we discussed data pipe or data life cycle there is transparency at each and every stage that if the data scientist is working on it then it should know if an analyst is working on it then it should know that what purpose is the data collected and what purpose will it be used so basically this is about transparency then the sources of the data, it can be official, it can be unofficial, it can be public so all these things are part of it the official data is that first we take an example of any industry if we talk about the census data the government people collect the data so we know that the source of the data is the government source similarly if you have collected the data from a private source first they are different agencies working if we take any country's example so one is the government's data like we have talked about the Bureau of Statistics similarly there are some other data which are surveyed first there are some agencies which give donations they are donors who are some UK, some US, some Germany, some Japan these types of agencies work in different countries in Pakistan, in African countries, in Asian countries so if they have some projects especially related to education, health your journal life, your livelihood your living conditions about them they collect different data so that is not an official source that is a private source of data similarly if we see if we want to take any information on the internet then you have to go and enter your basic information now that is not an agency or an office in fact that is a private source of different business houses all the social media players of internet, ITK, data science or marketing agencies which work on different levels they have their own interest so basically all the data which is collected are their different objectives again, they are different aspects when you collect the data in transparency you know or the individual who is collecting the data and what is the result of it what is the result of it what is the result of it what is the result of it if you want to sell something or according to your choice and if you want to sell something or marketing there are so many aspects but transparency is about knowing what is your data and why and where and how it will be used now in business, what we were talking about is a different aspect now let's suppose we gave an example during last couple of modules as well that some social media companies along with them, along with analytics companies they did such analysis on some data which were without consent now what happened with that company there is a different world altogether where if we talk about stock exchange where these big companies social media, internet I mean if you talk about Google, Alibaba Amazon, Oracle, Facebook so all of them they are making money if we feel that we are getting these things free they are not free basically our information and our data are used right now it happens that when we do the first thing as we saw that I gave you an example someone's breach we got to know that they misused public information after that if their market share was down if their value was 10 dollars then it was 6 dollars or 5 dollars so this way companies are damaged so the point of business value transparency and ethical issues their value is very high and that is what is important for these companies as well and we too as laymen as an individual we need to know where is my data and who is it now if we talk about business environment definitely the role of data scientist is there in public, in private everywhere but the governance in corporate world something is called good governance now good governance only then you can apply if you know about its values its roles and responsibilities again I will give you example data pipeline or data life cycle now you know where and at which level how to secure how to govern and governance doesn't mean only technical or privacy but overall it comes as if your government governs something similarly your data governance is a subject in which multiple elements come in another module data governance was specially or separately discussed but with its ethical issues and with data transparency its one they are they are together basically you can say in congruence that the transparency of data cannot be governed without governance transparency yes it is possible but the governance of different stakeholders they know that someone is monitoring us someone is governing us they have basic ethical values they have their own norms they have security policies they have government rules regulation all these things are eventually that comes under data governance and to implement transparency to implement data transparency governance is equally important and this is what about data transparency and I will see you in the next module