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We distributed a survey to grant PI's across NSF directorates.
Predicted whether the grant abstract would produce software
Used this to determine which grant to email a PI about (e.g. for those with multiple grants)
In total we sent about 34K surveys out, and with a high bounce rate we got about a 4.5% response rate
Responses were of two varieties: If the grant did not produce software the PI responded "No Code"; if the software did produce software they were directed to a web-form -> demo: https://nniiicc.github.io/eager-survey/#/grant/test
Below are results from the form responses and emails w/ "no code"
We offered survey respondents $50 to sign up for a 30 minute interview
Number of parsed email responses: 1629
Number of app responses: 892
Number of email responses: 1627
Response rate: 4.59%
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Percentage of each code production response:
produced-and-all-available: 41.37% (369)
produced-but-not-available: 38.0% (339)
produced-and-some-available: 20.63% (184)
Total number of values provided (or selected) from repo gather: 1229
Percentage of responses that include at least one source host: 47.98% (428)
Percentage of each data gathering source:
Continuous Textboxes: 91.68% (507)
Github Repo Selection: 6.33% (35)
Both: 1.99% (11)
Distribution of privacy of code responses:
not-ready-for-public: 56.98% (298)
utility: 36.9% (193)
time: 33.84% (177)
sensitive-data: 6.88% (36)
other: 12.81% (67)
intellectual-property: 16.83% (88)
Percentage of of each planned support response:
none: 33.87% (211)
some: 33.71% (210)
all: 32.42% (202)
Distribution of support reasoning responses:
Did Plan To Support reasoning responses:
research: 51.77% (321)
used-by-others: 40.16% (249)
teaching: 16.13% (100)
other: 15.48% (96)
funding: 9.19% (57)
Did Not Plan To Support reasoning responses:
no-funding: 19.68% (122)
no-time: 16.94% (105)
no-research: 13.71% (85)
no-use: 14.03% (87)
no-teaching: 12.26% (76)
no-credit: 14.19% (88)
Distribution of code users responses:
field: 84.8% (212)
lab: 68.8% (172)
adopted: 40.8% (102)
other: 4.8% (12)
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Stats from Abstract Prediction
Precision: 62.22%
Recall: 63.68%
F1: 62.66%
Stats from Outcomes Prediction
Precision: 62.64%
Recall: 62.34%
F1: 62.48%
The text was updated successfully, but these errors were encountered:
We distributed a survey to grant PI's across NSF directorates.
We offered survey respondents $50 to sign up for a 30 minute interview
The text was updated successfully, but these errors were encountered: