Data are increasingly being made available over the Internet via web architectures. While one of the main drivers for this is citability in academic publications, citability is no guarantee of discoverability. Despite an increasing number of data discovery portals, researchers report their preference for finding data using internet search engines. In addition to the need for increased discoverability and accessibility, researchers are demanding machine-readable data to facilitate reproducibility. As data become more mobile, the range of community standards and vocabularies describing environmental data becomes apparent, highlighting issues of interoperability (data exchange). In this presentation, we will share success stories of applying the standards to make marine datasets meaningful, machine readable, unambiguous, accessible, interoperable, reusable, discoverable which in one buzz word is FAIR. But most importantly, our main aim is to simply introduce ourselves and see how we can strengthen our relationship with NOC scientists to work more closely and understand each other's needs and priorities.
