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From numbers to words to visuals: Storytelling your research Ya-Ling Lu, PhD, Informationist NIH Library Show Me the Numbers Conference University of Maryland, College Park October 12, 2017 Researchers often Give speaks about their research


  1. From numbers to words to visuals: Storytelling your research Ya-Ling Lu, PhD, Informationist NIH Library Show Me the Numbers Conference University of Maryland, College Park October 12, 2017

  2. Researchers often Give speaks about their research to different audiences

  3. Why do visuals work? Numbers Visuals Mean Median MM 53 21 MF 32 20 FM 35 22 FF 37 22 Any unknown 36 20 Words There were no substantial differences in the average citations among the groups (FM, MF, FF, MM, Any Unknown) up to the 90th percentile...

  4. To better present a pattern/problem This collaboration network displays connections between various authors by gender, weighted by number of publications…. and demonstrates that....

  5. To highlight or contrast IC # of project NHL 1 NIBIB 1 NCCIH 2 CIT 3 NIDCR 3 NIHL 4 NIMH 8 ORS 9 NICHD 11 NIDCD 11 NIAID 13 NIDDK 13 NINDS 14 LDRR 16 unknown 17 NLM 19 NEI 20 NHLBI 20 CC 23 NCI 52 Grand Total 260

  6. To analyze My ideal day My typical day

  7. “How do I get started?” Have a low floor

  8. Know the basics 16 14 12 10 8 6 4 2 0 0 100 200 300 400 60 50 40 30 20 10 0 1 3 5 7 9 11

  9. Know some design elements Know some basic design elements: object location, shape, size, space, color, background, etc. Put yourself in the graphs: How do you feel?

  10. Picture This: How pictures work Molly Bang

  11. NIH Library | http://nihlibrary.nih.gov

  12. NIH Library | http://nihlibrary.nih.gov

  13. NIH Library | http://nihlibrary.nih.gov

  14. NIH Library | http://nihlibrary.nih.gov

  15. Aim for a high ceiling

  16. Other options composition pattern distribution comparison 30 25 20 15 10 5 0 0 5 10 15 20

  17. Other options trends clustering/relationships geospatial location topic

  18. Resources Basic analysis • Excel, Google Spreadsheets, Tableau Map • Google Map, ArcGIS Network • Science of Science Tool Image editing • Inkscape, Adobe Illustrator Programming • R, Python, Matlab Website • Flowingdata, beatexcel, visualcomplexity, storytellingwithdata People • Experts, colleagues

  19. Story: Honoring the retirement of a director

  20. Brainstorming… How many pubs? Where does she publish? How many citations? Where does she give speaks?

  21. Brainstorming… Who has she worked What projects has she with? led? What are her major How much grants $ has research topics? she brought in? $$

  22. Our goals PEOPLE RESEARCH LEADERSHIP

  23. Her Leadership Created and designed by Chris Fortney Graphic artist, NIH Library

  24. People

  25. NIH Library | http://nihlibrary.nih.gov

  26. NIH Library | http://nihlibrary.nih.gov

  27. Example NIH Library | http://nihlibrary.nih.gov

  28. NIH Library | http://nihlibrary.nih.gov

  29. NIH Library | http://nihlibrary.nih.gov

  30. NIH Library | http://nihlibrary.nih.gov

  31. NIH Library | http://nihlibrary.nih.gov

  32. NIH Library | http://nihlibrary.nih.gov

  33. NIH Library | http://nihlibrary.nih.gov

  34. NIH Library | http://nihlibrary.nih.gov

  35. NIH Library | http://nihlibrary.nih.gov

  36. NIH Library | http://nihlibrary.nih.gov

  37. NIH Library | http://nihlibrary.nih.gov

  38. NIH Library | http://nihlibrary.nih.gov

  39. OBSTETRICS GYNECOLOGY REPRODUCTIVE BIOLOGY PUBL ENVIRON OCCUPAT HLTH ENVIRONMENTAL SCIENCES MATERIALS SCIENCE… TOXICOLOGY PHYSICS APPLIED ENDOCRINOLOGY METABOLISM ENGINEERING ELECTRICAL… RADIOLOGY NUCLEAR MEDICINE… STATISTICS PROBABILITY ANDROLOGY CRITICAL CARE MEDICINE PEDIATRICS PHYSICS CONDENSED MATTER 0 20 40 60 80 100 NIH Library | http://nihlibrary.nih.gov

  40. Research Count of MH 1986 1987 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Total Female 1 1 2 2 2 3 4 4 3 2 4 4 3 5 4 2 4 4 7 6 6 3 3 11 9 11 10 15 15 17 167 Adult 0 0 1 0 0 2 2 2 2 0 3 3 2 1 3 0 1 1 6 3 4 0 2 8 8 9 7 14 20 11 115 Pregnancy 0 1 2 1 1 1 1 1 2 2 2 3 1 1 1 1 3 2 4 6 5 2 3 5 7 5 6 11 8 12 100 Male 1 0 0 0 1 1 4 4 1 2 0 2 2 4 1 0 0 3 5 1 1 2 0 4 2 4 4 14 13 5 81 Adolescent 1 0 1 0 0 2 2 2 2 1 2 1 0 3 2 1 2 1 4 2 1 0 0 4 2 6 5 8 11 3 69 Cohort Studies 0 0 2 1 1 1 2 2 1 1 2 0 1 2 1 0 3 1 3 1 0 0 1 2 4 4 5 9 5 4 59 Young Adult 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 3 6 5 9 13 6 46 Environmental Pollutants 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 3 3 1 2 1 1 2 2 5 3 3 11 6 45 Prospective Studies 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 1 1 0 0 0 5 5 1 2 7 10 9 44 Risk Factors 0 0 2 1 2 0 0 2 1 1 1 1 0 2 2 1 0 1 4 1 1 1 0 4 1 1 5 0 4 4 43 Newborn Infant 0 0 1 1 2 2 4 4 1 2 0 2 0 1 0 0 2 2 2 1 1 0 0 2 0 1 2 3 2 2 40 Fertility 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 1 2 1 0 1 1 3 4 3 8 4 4 35 Environmental Exposure 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 1 1 1 1 0 1 1 3 1 3 1 1 5 3 26 Child 1 0 0 0 0 0 2 3 0 1 0 0 0 3 1 1 1 3 2 0 0 1 0 4 1 0 1 1 0 0 26 Endometriosis 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 2 0 0 2 1 4 4 1 2 3 23 Polychlorinated Biphenyls 0 0 0 0 0 0 0 0 1 1 2 0 3 1 0 0 0 0 3 0 2 0 1 3 1 1 0 1 1 1 22 Longitudinal Studies 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 2 0 5 7 3 20 Odds Ratio 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 3 1 1 0 0 0 1 3 3 1 1 2 19 Child, Preschool 0 0 0 0 0 1 2 3 0 1 0 0 0 1 1 0 0 1 1 0 0 0 0 3 0 1 1 1 0 1 18 Surveys and Questionnaires 0 0 0 0 0 1 0 0 0 0 1 1 1 0 1 0 1 0 2 0 0 0 1 3 0 1 1 2 1 1 18 Time Factors 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 1 2 1 1 1 3 3 17 Infant 0 0 1 0 0 0 2 3 0 1 0 0 0 0 1 0 0 0 3 0 1 0 0 0 0 0 1 1 0 1 15 Animals 0 0 0 0 0 0 0 0 1 1 2 0 3 1 0 0 0 1 2 0 0 0 0 0 1 0 1 1 0 1 15 Middle Aged 0 0 0 0 0 0 1 0 1 0 0 1 1 1 1 0 0 0 1 0 0 0 0 1 1 0 0 1 4 1 15 Pregnancy Outcome 0 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 1 0 1 3 0 0 0 0 3 0 1 1 1 0 15 Incidence 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 4 0 3 4 13 Infertility, Female 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 1 3 2 1 2 13 Maternal Age 0 0 0 0 1 1 0 0 1 0 1 0 0 0 0 0 2 0 0 1 1 0 0 0 1 0 0 0 1 3 13 Maternal Exposure 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 2 0 1 1 1 0 0 0 2 3 13 Retrospective Studies 0 0 1 0 0 0 1 2 0 1 0 0 0 0 0 0 1 0 2 2 0 0 1 0 1 0 0 0 1 0 13 Body Mass Index 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 1 1 2 0 4 1 1 12 Case-Control Studies 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 1 0 2 0 1 0 0 0 0 0 2 1 0 0 12 Time-to-Pregnancy 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 6 1 2 11 Birth Weight 0 0 1 0 1 1 0 0 0 1 0 0 0 0 0 0 1 0 0 1 1 0 0 2 0 0 0 0 2 0 11 Fishes 0 0 0 0 0 0 0 0 1 1 2 0 3 1 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 11 Hydrocarbons, Chlorinated 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 1 1 1 3 1 11 Prenatal Exposure Delayed Effects 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 1 0 1 0 0 1 0 1 1 0 2 1 11 Reproductive Techniques, Assisted 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 1 0 2 1 1 2 11 Laparoscopy 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 3 0 1 1 10 Logistic Models 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 1 3 1 1 1 10 Prevalence 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 3 0 1 2 10 Smoking 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 1 1 0 0 0 3 0 1 0 0 1 10 Socioeconomic Factors 0 0 1 1 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 1 1 2 0 0 10 Biomarkers 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 1 3 1 1 9

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