DOI: 10.5061/dryad.70rxwdc55
title: Data from: The dual nature of trust in participatory science: An investigation into data quality and household privacy preferences

description: There is a duality of trust in participatory science (citizen science)
 projects in which the data produced by volunteers must be trusted by the
 scientific community and participants must trust the scientists who lead
 projects. Facilitator organizations can diversify recruitment and broaden
 learning outcomes. We investigated the degree to which they can broker
 trust in participatory science projects. In Crowd the Tap, we recruited
 participants through partnerships with facilitators, including high
 schools, faith communities, universities, and a corporate volunteer
 program. We compared data quality (a proxy for scientists’ trust in the
 project) and participant privacy preferences (a proxy for participants’
 trust in the project leaders) across the various facilitators as well as
 to those who came to the project independently (unfacilitated). In
 general, we found that data quality differed based on the project’s level
 of investment in the facilitation partner in terms of both time and money.
 We also found that demographic characteristics, rather than facilitation,
 was most important in predicting privacy preferences. Ultimately our
 results reveal several tradeoffs that project leaders and facilitators
 should weigh when deciding to work together.
description: The data was collected through an IRB approved survey in which
 Crowd the Tap participants submitted data on the types of pipes they had,
 the age of their home, water aesthetics, and demographic information. As
 part of this process, participants also indicated if they came to the
 project through a partner organization (what we call facilitator
 organizations). Using the data available to us, we determined how
 completely, accurately, and informatively (understandability) they
 participated in the project to assess data quality. We also asked if they
 had interest in being publically associated with the project or if they
 referred to remain private. We used this and the number of times they
 selected "Prefer not to say" as indicators of privacy. We
 compared data quality and privacy preferences to the facilitator
 organization through which they came to the project. 
description: # Data from: The dual nature of trust in participatory science: An
 investigation into data quality and household privacy preferences The
 dataset contains data on participation in Crowd the Tap, a large-scale
 participatory science (citizen science) project focused on identifying and
 addressing lead contamination in household drinking water. The project
 crowdsources information on plumbing materials, age of home, water
 aesthetics, and demographic data to learn more about the geographic spread
 of lead plumbing and social and environmental correlates to lead plumbing.
 We investigated how data quality (completeness, accuracy, and
 understandability) and participant privacy (whether or not they select to
 be public or private, the number times they select “prefer not to say”)
 preferences differed by facilitators. Data quality relates to scientists’
 trust in the project, and privacy relates to the trust that participants
 have in the project leadership team. As participatory science projects
 increasingly recruit participants through partnerships with facilitators,
 understanding facilitators’ roles in establishing trust with participants
 and collecting high quality data will be increasingly important. ##
 Description of the Data and file structure Column A - ID: numeric
 anonymous identifier Column B - Facilitator: What partner organization (if
 any) did this participant participate through? Levels: Unfacilitated,
 University, Level 1, Level 2, Corporate, Faith Community Column C -
 Understandability: How many questions did they select "Unknown"
 for instead of providing an answer that would give more detail? Levels: 1,
 2, 3, 4, 5, 99 Column D - Completeness: How many web pages of questions
 did they complete when participating in the project? Levels: 1, 2, 3, 4
 Column E - Accuracy_InternalPipes: Did they accurately identify their
 internal plumbing based on their magnet and scratch tests? Levels: 0 =
 inaccurate, 1 = accurate, 99 = missing Describe relationship between data
 files, missing data codes, other abbreviations used. Be as descriptive as
 possible. Column F - Accuracy_ExternalPipes: Did they accurately identify
 their external plumbing based on their magnet and scratch tests? Levels: 0
 = inaccurate, 1 = accurate, 99 = missing Column G -
 Accuracy_HouseholdCount: Did they report the right number of total people
 based on the number of infants, children, and adults they reported?
 Levels: 0 = inaccurate, 1 = accurate, 99 = missing Column H -
 Accuracy_ChemStrip: If they conducted a water chemistry test strip, did
 they submit a photo? Levels: 0 = inaccurate, 1 = accurate, 99 = missing
 Column I - Privacy: Did they select to be publicly associated with the
 project, or opt to remain private? Levels: 0 = Private, 1 = Public Column
 J - Number_PreferNotToSay: How many questions did they select "Prefer
 not to say" for instead of providing an answer that would have given
 more detail? Levels: 0, 1, 2, 3, 4 Column K - Race: What is their race?
 Levels: White, POC, Prefer not to say? Column L - Insurance: Do they have
 health and home insurance? Levels: Yes = they have both home and health
 insurance, No = they do not have both home and health insurance, Unknown =
 they are unsure if they have home or health insurance Column M -
 HomeTypeAndOwnership: What type of home do they live in and do they own
 it? Levels: Apartment owner, Apartment renter, Stand-alone home owner,
 Stand-alone home renter, Stand-alone home neither rented nor owned, Other
 type of home owner, Other type of home renter, Other type of home neither
 rented nor owned Column N - PlumbingType: What materials were their
 plumbing materials made of? Levels: All metal, Both plastic and metal, All
 plastic, Unknown, 99 = Missing Column O - ConstructionPeriod: When was
 their home built? Levels: 1986 or earlier, After 1986, Unknown 99 -
 missing data POC = Person of color ## Sharing/access Information Data from
 another paper, “Diversifying large-scale participatory science: The
 efficacy of engagement through facilitator organizations,” is available at
 [https://doi.org/10.5061/dryad.v15dv422h](https://doi.org/10.5061/dryad.v15dv422h)