Asked why DeepMind did not reveal its plans to build a data access infrastructure sooner in regards to the Streams project, Suleyman says he has personally talked about the company's "commitment to open standards and interoperability" — and points to a paragraph on its website when it launched in February which references an aim to "build technologies that work together".
In this context, a Web-based geographical information system (WebGIS) is appropriate to build up a data infrastructure for GMO monitoring and data exchange [26].
The scope of the partnership between DeepMind and the Royal Free has also expanded since the first data-sharing arrangement, with the pair detailing plans last fall for the company to also build a data-sharing access infrastructure for the Trust — which will position DeepMind to facilitate/broker app developers' access to NHS patient data via an API in the future.
HESA's efforts to build a new HE data infrastructure are motivated by contemporary political contests over the governance of the university sector, and it is expected to make institutional data more accessible to potential fee-paying student applicants as a way of developing a competitive marketplace of providers.
As the company notes, this means it's now relatively easy (though still not completely trivial) to build a complete data services infrastructure within days.
Apart from these solutions (either local or web-based), in which one or a few groups build a complete data management infrastructure, one can also consider the possibility of adopting a modular approach, in which different researchers tackle different parts of the problem, whilst always enforcing the maximum possible interoperability between the modules.
While Apple has long been focused most of its attention on design over the years, Google's focus on utility has allowed it to build a massive infrastructure, collecting data from across a broad range of software products at a nearly unprecedented scale.
The project aims to build a complete infrastructure of data and algorithms for the systematics community.
It could cost foreign Internet companies operating in Brazil billions of dollars to build out local data infrastructure, in what The Wall Street Journal cites as by far the most expensive country in Latin America to operate a data center.
Skates said this allows companies with data science teams to become more productive, and allows smaller companies to perform sophisticated analysis without having to "build out that data infrastructure".
