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The data lifecycle: extending participatory science beyond data collection to decisions and action

Design · All designs
Evidence · 2 claims (1 for, 1 mixed) · 1 study (1 qualitative), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

The article describes the data lifecycle as the full arc of participatory science work, from developing expertise and defining research questions through collecting, interpreting, and sharing data to making decisions and taking action, then evaluating outcomes and reassessing goals. It holds that "data alone do not contain instructions for which actions to take" and that decisions are expressions of preference shaped by identity. The authors used it as an instructional design process for centering youth agency in their bird-monitoring CCS project.

Design Implications

Context

Requirements

  • Instructional designs must structure opportunities across all lifecycle stages, including expertise development, question definition, and data use for decisions, not only data collection

Constraints

  • The article states the data lifecycle "does not provide instruction for how to make decisions about scientific practices or environmental decisions"

Target Learners

  • elementary students (4th and 5th grade)

Learning Goals

  • science learning through authentic data practices
  • environmental decision-making and agency

Claims

Patterns Used

  • Inquiry-Based Learning: students move through the lifecycle from defining research questions to collecting, interpreting and acting on their own data

Examples

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Key Sources

  • Erin Bridges Bird · Heidi L. Ballard · Margaret Harte. (2023). Data to decision-making: how elementary students use their Community and Citizen Science project to reimagine their school campus. Instructional Science. https://doi.org/10.1007/s11251-022-09612-6
Page metadata
Field Value
type design
id data-lifecycle-framework-ccs
title The data lifecycle: extending participatory science beyond data collection to decisions and action
description The article describes the data lifecycle as the full arc of participatory science work, from developing expertise and defining research questions through collecting, interpreting, and sharing data to making decisions...
status review
generated by process:settle-candidates on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — erin-bridges-bird-heidi-l-ballard-margaret-harte-2023

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