Friday, January 31, 2014

To share or not to share - what about your research data?

An interesting development in research data sharing is the recent partnership of Taylor & Francis with Figshare:
" ...David Green, global publishing director for journals at Taylor & Francis, commented, 'We’re delighted to be able to bring this innovative service to authors and to anyone with an interest in research, whether they are working within or outside the academic and scientific communities. Using Figshare will enable us to make supplementary material, which is fundamental to the research process, discoverable to all, in as usable a fashion as possible. Simply by keying in a simple term to a search engine users will be able to unearth a wealth of data, aiding future research and increasing the visibility of authors’ work.' ..."

figshare is a repository where users can make all of their research outputs available in a citable, shareable and discoverable manner.  figshare allows users to upload any file format to be made visualisable in the browser so that figures, datasets, media, papers, posters, presentations and filesets can be disseminated in a way that the current scholarly publishing model does not allow.
Similar to figshare is the Dryad repository, whose mission is "to make the data underlying scholarly publications discoverable, accessible, understandable, freely reusable, and citable for all users. We believe that universal design and adherence to coding standards are the best means to ensure access to the broadest possible audience, and our design and development staff work together to achieve those goals."

Some examples of research data: (acknowledgment to Univ of Oregon Library)

   Documents (text, Word), spreadsheets
    Laboratory notebooks, field notebooks, diaries
    Questionnaires, transcripts, codebooks
    Audiotapes, videotapes
    Photographs, films
    Protein or genetic sequences
    Test responses
    Slides, artifacts, specimens, samples
    Collection of digital objects acquired and generated during the process of research
    Database contents (video, audio, text, images)
    Models, algorithms, scripts
    Contents of an application (input, output, logfiles for analysis software, simulation   software, schemas)
    Methodologies and workflows
    Standard operating procedures and protocols

No comments:

Post a Comment