In the realm of scientific inquiry, the relationship between open science, research integrity, responsible research practices, and transparency is a complex and multifaceted one. In this commentary, we delve into the interplay of these concepts, illustrating how they are interconnected, yet each with its unique focus. We contend that responsible research practices emphasize rigorous research conduct, transparency centers on comprehensive reporting, and open science primarily concerns the dissemination of research. We advocate for collective action from researchers and research institutions to establish a culture where integrity in research is both feasible and rewarding. Building on the Center for Open Science's pyramid of behavior change, we offer suggestions for individuals and institutions to champion research integrity. We also underscore the importance of collaboration between the research integrity and open science communities.

Research integrity is a multifaceted construct that transcends the cardinal sins of research misconduct such as falsification, fabrication, and plagiarism (FFP). It encompasses the principles and standards that safeguard the credibility and trustworthiness of research. The behavior of individual researchers is grouped into three clusters: FFP, questionable research practices (QRPs), and responsible research practices (RRPs). While FFP is detrimental and rare, QRPs, which involve behaviors like selective reporting and p-hacking, can be more prevalent and collectively damaging. RRPs encompass conduct that enhances the quality and trustworthiness of research. These practices concentrate on the research process and include using validated measurement instruments, consulting statisticians, meticulous record-keeping, and rigorous manuscript scrutiny.

A Cornerstone of Trust Transparency is a critical component of ensuring trust in research. It involves comprehensive reporting at all stages of the research lifecycle. Researchers must document research protocols and share every facet of their study, from methods to results. Open notebooks and lab books, along with open sharing of the research process, play a pivotal role. In-depth details in transparency enable readers and reviewers to form their judgments about the credibility of research findings, thus enhancing trust.

Unlocking Access and Knowledge Dissemination Open science encompasses a wide range of practices aimed at disseminating research output. It advocates for making research methods public through preregistrations, depositing study protocols and data analysis plans, sharing code used in data analysis, and publishing complete datasets and their metadata. Open science ensures that research findings are rapidly and freely accessible, often beginning with preprints followed by open peer-reviewed open-access publications.

To emphasize the interdependence of these concepts, consider a research project studying the effects of Covid-19 restrictions on adolescents. Responsible research practices dictate using validated questionnaires and calculating the appropriate sample size, ensuring rigor. Transparency is maintained by documenting the entire research process and providing detailed protocols. Open science principles dictate making the research data FAIR (Findable, Accessible, Interoperable, Reusable). These elements reinforce one another, collectively enhancing the credibility and utility of the research.

In contrast, research that is open and transparent but lacks rigor may lead to poor-quality outcomes. Rigorous methods and transparent reporting can go unnoticed if research is not openly accessible, hindering its potential impact. The lack of transparent reporting can obscure the quality and reliability of research, potentially leading to misinterpretations or disregard.

Promoting a Culture of Research Integrity: To create a culture of research integrity, individuals and institutions can undertake the following steps:

  1. Making Research Integrity Possible:

    • Develop infrastructure to store and curate data following FAIR principles.
  2. Making Research Integrity Easy:

    • Offer support for researchers, including data management experts and statisticians.
    • Implement user-friendly systems for data storage and analysis.
    • Provide research integrity training through formal education and community efforts.
  3. Making Research Integrity Normative:

    • Promote cultural change by role modeling rigorous research conduct.
    • Engage in grassroots initiatives for institutional-level change.
    • Address factors that undermine research integrity, such as mentoring for survival.
  4. Making Research Integrity Rewarding:

    • Establish fair policies and procedures for researcher assessment.
    • Recognize and reward researchers for open and transparent work.

The efforts to enhance research integrity and open science are not the responsibility of individual researchers and institutions alone. Journals, funders, and other stakeholders play a vital role in shaping the research landscape. Collaborative initiatives, such as the San Francisco Declaration on Research Assessment (DORA) and the Hong Kong Principles, aim to reform researcher assessment systems and promote research integrity and open science practices.

While this commentary has primarily focused on empirical quantitative research, it is crucial to recognize that similar initiatives are emerging in the humanities, including replication studies and preregistration for qualitative research.

In conclusion, the relationship between research integrity, transparency, and open science is both intricate and symbiotic. Researchers and institutions must work collectively to create a culture of integrity and transparency in research. By paying attention to each other's work and fostering collaboration, we can collectively promote trust in research and researchers.