ObjectivesTo systematically collect and analyse diverse definitions of 'evidence' in both health and social sciences, and help users to correctly use the term 'evidence' and rethink what is the definition of 'evidence' in scientific research.DesignScoping review.MethodsDefinitions of evidence in the health sciences and social sciences were included. We have excluded the definition of evidence applied in the legal field, abstracts without full text, documents not published in either Chinese or English and so on. We established a multidisciplinary working group and systematically searched five electronic databases including Medline, Web of Science, EBSCO, the Chinese Social Sciences Citation Index and the Chinese Science Citation Database from their inception to 26 February 2022. We also searched websites and reviewed the reference lists of the identified studies. Six reviewers working in pairs, independently, selected studies according to the inclusion and exclusion criteria, and extracted information. Any differences were discussed in pairs, and if there was disagreement, it was resolved via discussion or with the help of a third reviewer. Reviewers extracted document characteristics, the original content for the definitions of 'evidence', assessed definitions as either intensional or extensional, and any citations for the given definition.ResultsForty-nine documents were finally included after screening, and 68 definitions were obtained. After excluding duplicates, a total of 54 different definitions of 'evidence' were identified. There were 42 intensional definitions and 12 extensional definitions. The top three definiens were 'information', 'fact' and 'research/study'. The definition of 'evidence' differed between health and social sciences. The term 'research' appeared most frequently in the definitions.ConclusionsThe definition of 'evidence' has gradually attracted the attention of many scholars and decision-makers in health and social sciences. Nevertheless, there is no widely recognised and accepted definition in scientific research. Given the wide use of the term, we need to think about whether, or under what circumstances, a standardised, clear, meaningful and widely applicable definition of 'evidence' might be helpful.

Background: Evidence briefs for policy (EBP) draw on best-available data and research evidence (e.g., systematic reviews) to help clarify policy problems, frame options for addressing them, and identify implementation considerations for policymakers in a given context. An increasing number of governments, non-governmental organizations and research groups have been developing EBP on a wide variety of topics. However, the reporting characteristics of EBP vary across organizations due to a lack of internationally accepted standard reporting guidelines. This project aims to develop a STandard reporting guideline of Evidence briefs for Policy (STEP), which will encompass a reporting checklist and a STEP statement and a user manual. Methods: We will refer to and adapt the methods recommended by the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) network. The key actions include: (1) developing a protocol; (2) establishing an international multidisciplinary STEP working group (consisting of a Coordination Team and a Delphi Panel); (3) generating an initial draft of the potential items for the STEP reporting checklist through a comprehensive review of EBP-related literature and documents; (4) conducting a modified Delphi process to select and refine the reporting checklist; (5) using the STEP to evaluate published policy briefs in different countries; (6) finalizing the checklist; (7) developing the STEP statement and the user manual (8) translating the STEP into different languages; and (9) testing the reliability through real world use. Discussion: Our protocol describes the development process for STEP. It will directly address what and how information should be reported in EBP and contribute to improving their quality. The decision-makers, researchers, journal editors, evaluators, and other stakeholders who support evidence-informed policymaking through the use of mechanisms like EBP will benefit from the STEP.