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## Welcome to Dataswift's Resource Repository! This is a signpost document to help you navigate some of the content in the repository Discover | Design | Build | Operate | Extend ## Discover The discover folder is where you can learn more about Personal Data and PDAs through articles, information sheets and podcasts. Some common questions are laid out below. ### What What is a Personal Data Account (PDA)? Find that out here at "Personal Data Accounts Explained" ### Why Why build on the PDA? See "Building Apps: Why they should be built on Personal Data Accounts" ### How Is building on PDAs architecturally different from conventional designs? Yes, because the PDA consist of the HAT Microserver, which is a server owned by an individual, your app is one of the many apps within the individual's Microserver, so instead of creating a centralised server for multiple users, you are accessing a server for every individual. More importantly, when you read and write data into the PDA, it is your user that owns that space and you are technically renting that space from your user. You can read more about the technical aspects of the HAT here. Does it cost more to develop and maintain a PDA platform? Not really. PDAs are issued free and you don't need to pay to build up the backend if you are doing a simple app. You just pay for API calls depending on the data you are reading. See the pricing here. Within the sandbox, you will get a bundle of free API calls to test out your application. ### What are your success stories? See some of our case studies here. There are many more applications in the sandbox. ### What are the other PDAs out there? PDAs are a very new technology that is just coming out of university research. The ability for individuals to own a personal data server with legally owned storage, computation and identity for real time and on demand sharing have not been possible till now. There are other technologies that give individuals control over data, but not a full server. In addition, there are legal, governance and economic implications when individuals own their servers, in terms of real time data sharing and the setting up of contracts. ### Is this a blockchain? No, the HAT Microserver is a personal data server - it has storage, computation and authentication capabilities legally owned by individuals themselves. It is more like PCs or Smartphones where there are applications integrated with it. More here. * * * ## Design The design folder has more information around case studies and design patterns. ### What can I do with Personal Data Accounts? Identity and user data storage is the simplest. Instead of building up your own backend, you can use PDAs as your user identity and data storage. The way to integrate PDAs can be seen in "User Journeys integrated with PDAs" Depending on the complexity of your application, it will fall into one of these design patterns. Building on decentralised Personal Data Accounts is a paradigm shift, not just technically, but also legally, economically and ethically. You should get advice on figuring out which of the above design patterns would suit you best as well as how to build your application so that the way your application handles personal data is ethical, responsible and privacy preserving. * * * ## Build The build folder is where you get information of building on PDAs. ### Where do I start? The first thing to do is to listen to the technical demo. Then register at the Developers Portal at https://developers.dataswift.io. The developers portal gives you your own testing PDA which you use to interact with the platform. Your PDA is used to authenticate your identity as a developer, as well as the server you can test your application on. So you are both the developer and the user of your application. At the portal, you will also be able to register your application. This will enable you to write data into your PDA and call various APIs. For more information on the developer's portal, check out the developer's guide here. ### What is the build environment? Design your application around the design patterns described previously. Then decide the application environment you want to build in. You might need to stand up your own application server if your application is more complex. There are libraries for Javascript, iOS, Android and for other languages, you can use the REST APIs \- they can all be seen in the developers guides. * * * ## Operate ### What happens after I've built the app? Submit the app for review within the developers portal. This submission will also be your application's request to set up the data contracts between your application and your users. If your backend is only for the data generated within your app, the review will be quite quick. If the your app is requesting for other data (e.g. Facebook etc.), there may be other requirements to fulfil during the review (e.g. impact assessment etc.). The review team will be in touch if they have questions. See Dataswift governance services. * * * ## Extend If you are a data scientist/machine learning/algorithm maker you can build tools to analyse data within a PDA to output the results into the PDA. Tools are created in a local environment to begin with, with the data from the tool developer's own PDA. Tool developers would have to train their algorithms (HAT-LAB usually helps with tool training). When ready, they can be deployed as serverless SHE (Smart HAT Engine) Functions in the cloud environment and then rolled out to other PDAs. This folder gives you information on Tools on the PDA ## What are Tools? Learn about Tools here. ## How do I build Tools? Check out how to build tools here
Last updated: a month ago
Developers , follow documented instructions on Github on how to download PDA tools for local environment development. Listen to the technical demo here and check the guidance on using the developers portal. When you are ready, use your actual PDA to sign up at the developers portal. You will then be given a sandbox PDA to test your application with. Data/Solution Architects , check out design patterns on how to integrated with PDAs UX/UI Designers , check out user journeys for applications integrated with PDAs Data Scientists , check out “Edge Analytics” and computational abilities for PDAs and code up your first tool Domain experts and Entrepreneurs , read all about Personal Data Economy and how they complement what you know! If you are a organisation , come straight into our partner environment and start engaging with our team, or a book a call.
Last updated: 3 months ago