@vsetlur @nu_hci Found this to be true in earlier work with genomic data and carefully crafted reports to trying mitigate some of those issues : https://t.co/lNe4V3EvHU
@paimadhu @ideacouture @mcgillu We used a human-centered design approach to help us understand how TB data should be communicated and structured: https://t.co/lNe4V3VyJU HCD is a very powerful and under appreciated approach
@kirstynbrunker @DhamariNaidoo We did this work for reporting TB data out to clinicians - some things from this would be directly portable, in other ways it provides guidance around how to develop a report for another purpose https://t.co/psKsntJfIX
It actually made my day when @thePeerJ let me know that our evidence-based design paper was one of the top 5 most viewed #Genomics #InfectiousDiseases and #PublicHealth articles published in in 2018. If you haven't already check it out : https://t.co/NPfqvl0sMb
1) Phylogenetic trees are most the common chart type (not a surprise) – but trees are limited and not easily interpreted (see our earlier work: https://t.co/wZr55Dv5t6). Alternative #datavis might be helpful. Maybe researchers can’t see the forest for the trees? (13/19)