The New Research Data Mechanics

2015-08-19T11:10:24Z (GMT) by SIMON PORTER
Over the past 10 years, research systems have evolved from systems that focused on how to structure and record information on research, to systems capable of allowing significant insights to be derived based upon years of high quality information. In 2015, the maturity of the information now collected within many Current Research Information Systems, and the insights that this can provide is of equal or greater value than the insights that could be gleaned from established externally provided research metrics platforms alone. The ability to intersect these external and internal worlds provides new levels of strategic insight not previously available. <br><br>With the addition of platforms that track altmetrics, and their ability to connect university publications data with a constant flow of real time attention level metrics, an image of a dynamic network of systems emerges, connected together by ever turning ‘cogs’ pushing and translating information. Add to this, the success of ORCID as researcher identifier infrastructure across systems and it becomes possible to extend this network back from the systems that track and record research information, right to the platforms through which research knowledge is created. <br><br>The ‘Mechanics’ of this network of systems is more than just getting the ‘plumbing’ right. As research information moves through the network, its audience and purpose changes, the requirements for contextual metadata can also change. <br><br>Reflecting on the connected implementations of Symplectic, Figshare, and Altmetric for Institutions at the University of Melbourne, this presentation till explore the concept of a New Research Data Mechanics, and VIVO’s role within it. <br>