Credit where credit is due: acknowledging all types of contributions

22. Sep 2016
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
Credit where credit is due: acknowledging all types of contributions
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Credit where credit is due: acknowledging all types of contributions

Hinweis der Redaktion

  1. Even more critical in research today – more interdisciplinary, more moving pieces, more team-based (translational workforce is a good example of this: eg for a clinical trial may have PI, study coordinators, ethicist, lab tech, biobanking facility, analyst, etc.) (another good example is an open source software project like VIVO where contributors have different roles, produce software and data models, different workflow and dissemination patterns) The contributions of all of these people are required for research to move forward, but there are not mechanisms in place to properly recognize these contributions and represent them in a meaningful manner
  2. http://g3journal.org/content/5/5/719
  3. co-authorship is cross-award, but expertise is within award There are key persons that connect communities 20% awardees are not adequately profiled using publications Social network visualization of 282 BD2K awardees (key personnel) on 38 grants of 6 award types. Coauthorship between personnel from those same publications. Edge length is inversely proportional to publication count (200 edges). Note that K01 key personnel include senior mentors and there are still a few non-responders missing. Connectivity and cluster composition changes when comparing domain expertise to co-authorship. For example, there is substantive co-authorship across awards, but expertise tends to stay in the same award. A final key finding from this SNA was that approximately 20% of the awardees did not have publications as a primary outcome (often in roles like software engineers, developers, programmers, analysts, etc.) from these and prior efforts, implying that traditional means for profiling learners, experts, and collaborations does not provide a complete picture of the data science landscape