# Community developing and supporting practices to increase replicability of scientific research

> **NIH NIH R24** · CENTER FOR OPEN SCIENCE · 2020 · $329,193

## Abstract

Project Summary/Abstract
Center for Open Science RFA-AG-19-015
 The Center for Open Science (COS) will soon complete our NIH-supported grant to establish
reproducibility networks to advance open practices (Phase 1). In Phase 1 COS engaged research
stakeholder networks to establish and market three products to accelerate reproducibility in the social
and behavioral sciences: (1) badges to acknowledge open practices (Kidwell et al., 2016), (2)
Transparency and Openness Promotion (TOP) Guidelines as a policy framework (Nosek et al., 2015),
and (3) Registered Reports, a publishing model in which initial peer review is conducted prior to
observing the research outcomes (Nosek & Lakens, 2014). All three have contributed to substantial
progress in awareness and changes in policies, incentives, and norms promoting open practices.
 With a 5-year grant renewal (Phase 2), COS will extend the impact of Phase 1 networks and
activate new research communities to test, implement, evaluate, and improve standards and workflows
to increase openness and reproducibility of research, remove barriers to behavior change, and facilitate
widespread adoption of behaviors such as preregistration, and open data, materials and code. COS will
deepen the level of engagement among the networks we fostered in Phase 1 and add new research
networks such as the Max Planck Institute for Human Development, the Health Research Alliance and
the ​International Max Planck Research School on the Life Course, to ​test, implement, evaluate, and
improve the standards and supporting workflows needed to enact open science behaviors. In particular,
we will accelerate adoption of preregistration and the sharing of data, materials, and code by engaging
these research communities in an iterative feedback and evaluation cycle to improve the policies and
workflows. While preregistration is relatively easy to apply to experimental research in which the data
does not yet exist (e.g., randomized trials), preregistration workflows have yet to be created or tested to
improve the rigor of observational (correlational) research, longitudinal studies, qualitative research, and
working with existing datasets. These scenarios are common across a variety of disciplines, particularly
aging research. And yet, translating the standards and workflows to support preregistration in such
circumstances requires attention to the details of the methodology, data, and analysis pipeline (Nosek et
al., 2018). COS maintains open-source infrastructure, called OSF (​http://osf.io/​), that facilitates
customization of study registration workflows and submission of data, materials, and code for open or
controlled sharing based on the needs of particular disciplines or methodologies. Ultimately, our efforts to
organize design, test, and evaluate customized solutions with the research communities that contribute
to aging research (e.g., psychology, neuroscience, sociology, political science, and epidemiology) will
result in widesp...

## Key facts

- **NIH application ID:** 9860206
- **Project number:** 2R24AG048124-06
- **Recipient organization:** CENTER FOR OPEN SCIENCE
- **Principal Investigator:** Brian A Nosek
- **Activity code:** R24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $329,193
- **Award type:** 2
- **Project period:** 2014-09-15 → 2022-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9860206

## Citation

> US National Institutes of Health, RePORTER application 9860206, Community developing and supporting practices to increase replicability of scientific research (2R24AG048124-06). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9860206. Licensed CC0.

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