Interoperability in data and models – why and how
Hello, Hallo, Bonjour, Hola. Communicating with each other requires using the same language, and if necessary, using our hands and feet. Words can mean the same but, when unexplained, are all different for a computer. This makes interoperability more difficult.
The key element in Interoperability (the I in FAIR) is understanding each other’s data from data to person and from data to machine. To increase interoperability, context and shared vocabulary need to be added to the dataset and/or code. Words can mean the same but, when unexplained, are all different for a computer.
An incredible amount of data is available, and interoperability is key in combining data sets from different sources. But what is interoperability in general? And how do WUR researchers apply it? This blog post presents two WUR research cases, where interoperability is an essential element.
If you have any questions, do not hesitate to contact the Data Desk. You can also receive more information on data management by joining the Data@WUR group on the Intranet (for WUR staff only).