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Objectives and Disclaimers

Objectives and Disclaimers. Looking through the eyes of a researcher Simple messages and exercises, elucidating what we – as service providers – expect from researchers Using tools that are at hand Being pragmatic about functionality thank you, in advance, for helping us improving the tools.

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Objectives and Disclaimers

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  1. Objectives and Disclaimers • Looking through the eyes of a researcher • Simple messages and exercises, elucidating what we – as service providers – expect from researchers • Using tools that are at hand • Being pragmatic about functionality • thank you, in advance, for helping us improving the tools

  2. Information management in biological research can be quite complex Information flow for an epidemiological study of zoonotic diseases

  3. Characterizing research activities Information discovery Study concept and design Hypothesis generation Undertaking experiments Data acquisition Data processing Data sharing Data management Data analysis Data archiving Results and conclusions Seminars and conference presentations Articles and reports

  4. Scholarly publications: conference papers and journal articles Institutional repositories Publication activities Hypothesis formulation and project design Research results and conclusions Research plan Data selection and interpretation Experimentation and data creation Research datasets abandoned on local hard drives or CD-ROMs Raw data in research note-books and live PC files The conventional research data lifecycle

  5. Dissemination Open data on Web Scholarly publications: conference papers and journal articles Institutional repositories Papers and datasets Publication activities Hypothesis formulation and project design Preservation Research results and conclusions Research plan Data selection and interpretation Experimentation and data creation Local filestore Private and sharable Raw data in research note-books and live PC files Management The enhanced research data lifecycle

  6. Tools we will use Preparation and planning Data creation > Creation of data management plans Local data file management – DataStage > > Searching over rich metadata – DataFinder Institutional data repository – DataBank > Data discovery Data preservation and publication

  7. 20 Questions for Data Management Planning http://www.miidi.org/dmp

  8. DataCite metadata for datasets

  9. DataStage, DataBank and DataFinder http://www.dataflow.ox.ac.uk/ http://damaro.oucs.ox.ac.uk/ Researchers SWORD deposit DataStage file system Researchers, other users DataBank repository

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