1. Figures for ADMIRAL Project grant application These figures are copyright © David Shotton, University of Oxford, 2009. They are made available for reuse under a Creative Commons Attribution license (http://creativecommons.org/licenses/by/2.5/). This permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.http://creativecommons.org/licenses/by/2.5/ The URL for this set of figures is http://imageweb.zoo.ox.ac.uk/pub/2009/publications/ADMIRAL_Figures_1-3.ppt. http://imageweb.zoo.ox.ac.uk/pub/2009/publications/ADMIRAL_Figures_1-3.ppt

2. Figure 1: The conventional research data lifecycle Four phases mark the activities undertaken in traversing the lifecycle: formulation, experimentation, interpretation and publication. The publication outputs from one cycle provide the input to the next. However, only selected research data are conventionally published. The original research datasets are abandoned on local hard drives or CD-ROMs, and neither datasets nor papers are submitted to the institutional repository. Scholarly publications: conference papers and journal articles Raw data in research note- books and live PC files Research results and conclusions Data selection and interpretation Publication activities Research datasets abandoned on local hard drives or CD-ROMs Hypothesis formulation and project design Experimentation and data creation Research plan Institutional repositories

3. Scholarly publications: conference papers and journal articles Raw data in research note- books and live PC files Research results and conclusions Hypothesis formulation and project design Experimentation and data creation Data selection and interpretation Publication activities Research plan Institutional repositories Papers and datasets Local filestore Private and sharable Open data on Web Management Dissemination Preservation Figure 2: The enhanced research data lifecycle Raw research data are first organized and ‘conditioned’ in local personal research databases. From there they can be shared and used to support publications, and can be automatically archived to the institutional repository, from which they can optionally be published as linked data on the Web for public dissemination and reuse. This figure differs from the DCC Data Cycle model by emphasising the importance of the local research data filestore.

4. Figure 3: The effort involved in submitting data to an institutional repository As investment is made in the local organization and annotation of research datasets, the effort involved in submission to an institutional repository reduces to the point where it becomes feasible on a routine basis.