[MUSIC] Hello, everyone. Welcome to the Materials Data Science and Informatics class. I'm Surya Kalidindi, the Instructor for this class. Today's lesson is titled Materials Innovation Cyberinfrastructure. In this lesson, we hope to understand the components of the cyberinfrastructure and their role in speeding up materials innovation cycles. Let us start with the definition of cyberinfrastructure. What is a cyberinfrastructure? We'll define cyberinfrastructure in the following way. We'll say, it includes hardware and software that supports all data science activities. In the earlier lessons in this class, we said, data science has three main complements. Those three are data management, data analytics and e-collaborations. So, cyberinfrastructure is essentially hardware and software that supports all these three compliments. Again, to remind you, data management includes and addresses all aspects of data capture, storage, curation, sharing and security. Data analytics then works on transforming the data to high value knowledge or wisdom. And finally, e-collaborations facilitate collaborations among distributed communities. Cyberinfrastructure is a key element of any modern innovation ecosystem. It does essentially transforms a conventional innovation ecosystem into an innovation cyber-ecosystem. This concept is schematically illustrated below. I this picture, each circle represents a stakeholder and each arrow represents a data transformation. So the vision is that through the cyberinfrastructure, we will document all the data transformations that are happen in the innovation process and we will use that information to improve the process itself. So now, let's look at one of the main components of materials innovation cyberinfrastructure. As you can imagine, it involves a lot of databases. And as we have been saying in the previous lessons in this class, the types of databases are important to materials innovation include materials databases. This is where you might have information on chemical compositions, material internal structure. Property databases and in gentle, knowledge databases. Next, the innovations cyberinfrastructure also includes a variety of code and tool depositories. These are what we need to extract information and knowledge out of data, and they also include a number of tools used by the domain scientists in simulating materials is materials phenomena often placed. A third component of the cyber infrastructure is the e-collaboration platforms. These platforms are important, because they address project and team management issues and challenges. They also address workflow capture and management. This is very important in terms of establishing collaborations. And finally, they address communications between the team members in terms of facilitating annotations, discussions, visualizations of research data, etc. In summary, we discussed the importance of a supporting cyberinfrastructure for materials innovation. The main components of this cyberinfrastruture include databases, code repositories and e-collaboration platforms. We'll discuss each of these components in more details in subsequent lessons. Thank you. [MUSIC]