Table 7.

Ranking of respondents preferences toward five different reward types (N = 88). The lower the mean the stronger the preference

Q27 If I make an effort to make my phenotypic characters more useful for computation and others’ research, my preferences for potential rewards are (1 = most preferred, 5 = least preferred)	1	2	3	4	5	Mean (standard deviation)	Preference Level (P < 0.05)
[Data Citation] Citations—Make my character data citable	22	33	20	13	0	2.27 (1.00)	1
[Term Citation] Citations—Make the terms I added to a controlled vocabulary (to share with my community) citable	31	21	18	14	4	2.31 (1.23)	1
[Auto Format] Have computer format my character/measurement descriptions for publication	18	16	31	19	4	2.72 (1.15)	2
[Auto Conversion] Have computer convert my character information to other useful formats (e.g. tabulate the characters for me)	13	16	15	38	6	3.09 (1.21)	3
[Monetary Rewards] Monetary rewards	4	2	4	4	74	4.6 (1.01)	4