Rumours, Bargains and Lies: How to advocate Open Access repositories more successfully

In this workshop seminar delivered twice at the CoFHE/UCR 2006 conference the author explored aspects relating to successful advocacy of Open Access and repositories. Areas covered included preconceptions on the part of academics and support staff, as well as models of implementation of an advocacy programme. A large portion of the material pulls together experience and narrative evidence from the SHERPA Consortium partners and repository administrators; with a particular focus on their successes and failures and the lessons that have been learned.

The Motif Tracking Algorithm

The search for patterns or motifs in data represents a problem area of key interest to finance and economic researchers. In this paper we introduce the Motif Tracking Algorithm, a novel immune inspired pattern identification tool that is able to identify unknown motifs of a non specified length which repeat within time series data. The power of the algorithm comes from the fact that it uses a small number of parameters with minimal assumptions regarding the data being examined or the underlying motifs. Our interest lies in applying the algorithm to financial time series data to identify unknown patterns that exist. The algorithm is tested using three separate data sets. Particular suitability to financial data is shown by applying it to oil price data. In all cases the algorithm identifies the presence of a motif population in a fast and efficient manner due to the utilisation of an intuitive symbolic representation. The resulting population of motifs is shown to have considerable potential value for other applications such as forecasting and algorithm seeding.