Fixation with Citation

As data becomes an increasingly important element within the scholarly record there is growing recognition that researchers need to easily locate an original dataset that results are drawn from, and to verify and reproduce these results in order to build upon research work. Due to the lack of standards for citing data, the stage of locating the original dataset is not yet easy to do, or widely embedded in researchers' practice. This presentation will describe the approach taken to address this concern by ESDS International, a specialist service of the Economic and Social Data Service who disseminate and support aggregate and survey international datasets for the UK academic community. Key issues citing ESDS International hosted datasets, such as the OECD's Main Economic Indicators will be highlighted, including: revisions to historical series, frequently updated datasets, multiple publishers, data access restrictions and granualarity of the citation. We will explain how we worked with DataCite UK to create bibliographic citations conforming to the DataCite Metadata Schema (http://dx.doi.org/10.5438/0005) and used their Metadata Store to mint Digital Object Identifiers (DOIs). In addition we will illustrate how we have integrated citation information into our data delivery software. Finally we will describe future challenges - primarily user adoption and publisher buy-in