LCOI-API Series: Features – JSON and on… Reply

This is the second in a series of blog posts introducing the LCOI-API.   We’ll be looking at a couple of its features, encouraging its use by developers to create solutions in the spirit of clinical open innovation.  Read the first post of this series here.

You may have read a few days ago that we launched version 1.0 of our LillyCOI-API.  We mentioned that the genesis of an Open Clinical Intelligence Network (OCIN) means that developers, informaticists and others will be able to create their own applications to Collect, Consume, Curate and Connect around digitized clinical objects.

As you know, V1.0 initially sources data from clinicaltrials.gov and transforms it into a format that web app developers can work with.  It is currently read-only, but we wanted to highlight a couple of the ways our LCOI-API accomplishes that transformation.

First, we elected to use JSON and Exhibit JSON data notation.  Clinicaltrials.gov uses XML for data handling, but XML requires the developer to go through more steps to reach the same result, and is not easily web-ready.

JSON notation makes it easy for JavaScript in a web page to download and process the data.  Using a library such as jQuery makes it even easier.  Here’s a quick example that shows how to get the list of intervention categories using our API: More…

LCOI-API Series: Introducing the Lilly Clinical Open Innovation API 2

This is the first in a series of blog posts introducing the LCOI-API.  We’ll discuss it’s purpose and value, and share how it can be used by developers to create solutions in the spirit of clinical open innovation.

We are proud to publish version 1.0 of the LCOI-API and share it with you.

For the non-techie among us, the acronym stands for Application Programming Interface. Simply put, an API allows software to communicate with each other.  A good API makes it easier to improve or create new applications by providing functionality and data. More…