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Exploratory and confirmatory research in the open science era

机译:探索性和验证性研究科学是

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1. Applied ecological research is increasingly inspired by the open science movement. However, new challenges about how we define our science when biodiversity data are being shared and re-used are not solved. Among these challenges is the risk associated with blurring the distinction between research that mainly seeks to explore patterns with no a-priori articulated hypotheses (exploratory research), and research that explicitly tests a-priori formulated hypotheses (confirmatory research). 2. A rapid screening of a random selection of the peer-reviewed literature suggests that neither experimental protocols nor hypothesis-testing sensu stricto are common in applied ecological research. In addition, most experiments are carried out on small spatial scales, which contrast with current global policy needs and research trends towards addressing large spatial and temporal scales. This latter trend makes it unfeasible for policy to rely mainly on insights gained from experimental research. 3. To solve fundamental local, regional and global societal challenges, we need both exploratory and confirmatory research. However, the fundamental roles that confirmatory research testing a-priori hypothesis play in establishing causal relationships need to be revaluated in applied ecological research. 4. A clearer distinction between exploratory and confirmatory research is currently needed, and could be facilitated by allocating journal sections to different types of research; by embracing new tools offered by the open science era, such as pre-registration of hypothesis; by establishing new systems where post-hoc hypotheses emerging through exploration can also be registered for later testing; and by more broad adoption of causal inference methods that foster more structured testing of hypotheses about causal mechanisms from observational biodiversity data. 5. Synthesis and applications. To gain the full benefits of the open science era, researchers, funding bodies and journal edit
机译:1. 灵感来自于开放科学运动。新的挑战我们如何定义我们的科学当数据被共享和生物多样性重用并没有解决。相关的风险与模糊的区别主要研究旨在探索之间模式没有先验的假设(探索性研究)、研究明确测试先验假设制定(验证性研究)。一个随机选择的同行评议文献表明,无论是实验协议和假设检验美国篇在应用生态研究很常见。此外,大多数实验都进行小空间尺度上,它与电流全球政策需求和研究趋势解决大空间和时间尺度。后一种趋势使其成为政策是不可行的主要依靠见解实验研究。本地、地区和全球社会的挑战,我们需要探索和确认研究。确认研究测试先验假设在建立因果关系需要在应用生态研究写作。更清晰的探索性和之间的区别目前需要确认的研究,可以通过分配促进期刊吗部分不同类型的研究;拥抱开放科学提供的新工具时代,如预注册的假说;建立新系统因果假设新兴通过探索也可以注册后测试;广泛采用因果推理的方法培养更多的结构化测试假说从观测对因果机制生物多样性数据。获得开放科学的全部好处时代,研究人员、机构和期刊编辑

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