“…(b) Ability to handle increasingly large data sets (i.e., big data); (c) Inclusion of data (ideally, authoritatively verified) on non-native species occurrence within the US according to species, point locality, and date of observation; (d) Ability to distribute alerts of non-species occurrence (ideally, authoritatively verified) to those responsible for response needs assessment; (e) Ability to notify data users when data corrections are made; (f) Inclusion or link to data on the biological characteristics, documented impacts, and response measures for the non-native species globally; (g) Capacity for data to be readily transferred into high-performance analytical and decision support tools that, at a minimum, enable target analyses (Morisette et al 2019, this issue), risk screening (Meyers et al 2019, this issue), costbenefit analyses of potential response measures and response prioritization (feasibility screening), and response planning; and. (h) Cataloging of information products (ideally, standardized) resulting from data analyses mentioned in points c-f (i.e., an open-access information product clearinghouse), including public-friendly species identification guides and watch lists (Reaser et al 2019b, this issue).…”