Systematic Review Community Science Validation

Concerns about the credibility of community science and its ability to generate valid species observations limit its use within scientific research. Pre-collection and post-validation methods can be critical in filtering community science data to ensure it produces accurate results. Twenty-four validation criteria were developed to conduct a systematic review assessing the use of community science in previous research to identify (1) the frequency that these criteria are applied, (2) how to ensure community science data collection is accurate, and (3) pre-collection and post-validation techniques that filter inaccurate data. We conducted a systematic review of the literature on community science studies using occurrence data within the last year (2021). Each study was individually reviewed to determine its inclusion in our review. For a paper to be included, it needed to satisfy three criteria: (1) the article must use or collect community science data, (2) community science is used to obtain incidental observations of a terrestrial organism, and (3) the authors of the study performed some form of pre or post-collection validation techniques to ensure their data was credible. All included studies were evaluated to determine if any of the twenty-four validation criteria were applied.

公众对公民科学（community science）的可信度及其生成有效物种观测记录的能力存在疑虑，这限制了其在科学研究中的应用。采集前验证与采集后验证方法，在筛选公民科学数据以确保产出准确结果的过程中至关重要。本研究制定了24项验证标准，以开展一项系统性综述，评估过往研究中公民科学的应用情况，旨在明确三个核心问题：(1) 上述验证标准的应用频次；(2) 如何保障公民科学数据采集的准确性；(3) 用于筛选不准确数据的采集前与采集后验证技术。我们针对2021年（即过去一年内）使用发生数据的公民科学研究相关文献开展了系统性综述。每一项研究均经过独立评审，以确定其是否可纳入本次综述。纳入标准共三项：(1) 文献需使用或采集公民科学数据；(2) 研究需利用公民科学获取陆生生物的偶然观测记录；(3) 研究作者需采用至少一种采集前或采集后验证技术，以确保其数据具备可信度。所有纳入本次综述的研究均被评估，以确认其是否应用了上述24项验证标准中的任意一项。