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Center for Open Science
Center for Open Science
Center for Open Science
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The Center for Open Science is a non-profit technology organization based in Charlottesville, Virginia with a mission to "increase the openness, integrity, and reproducibility of scientific research."[1] Brian Nosek and Jeffrey Spies founded the organization in January 2013, funded mainly by the Laura and John Arnold Foundation and others.[2]

Key Information

The organization began with work in reproducibility of psychology research, with the large-scale initiative Reproducibility Project: Psychology.[3][4][5] A second reproducibility project for cancer biology research has also been started through a partnership with Science Exchange.[6] In March 2017, the Center published a detailed strategic plan.[7] Brian Nosek posted a letter outlining the history of the Center and future directions.[8]

In 2020, the Center received a grant from Fast Grants to promote the publication of COVID-19 research on the platform.[9]

In 2021, the Center for Open Science was honored with the Einstein Foundation Award for Promoting Quality in Research [de] in the institutional category for their contribution to fostering research integrity and to improving transparency and accessibility.[10]

Open Science Framework

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Reproducibility project

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The Open Science Framework (OSF) is an open source software project that facilitates open collaboration in science research. The framework was initially used to work on a project in the reproducibility of psychology research,[11][12] but has subsequently become multidisciplinary.[13] The current reproducibility aspect of the project is a crowdsourced empirical investigation of the reproducibility of a variety of studies from psychological literature, sampling from three major journals: Journal of Personality and Social Psychology, Psychological Science, and Journal of Experimental Psychology: Learning, Memory, and Cognition. Scientists volunteer to replicate a study of their choosing from these journals, and follow a structured protocol for designing and conducting a high-powered replication of the key effect. The results were published in 2015.[14]

Preprints

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In 2016, OSF started three new preprint services: engrXiv, SocArXiv, and (with the Society for the Improvement of Psychological Science) PsyArXiv.[15] It subsequently opened its own preprint server in 2017, OSF Preprints.[16] Its unified search function includes preprints from OSF Preprints, alongside those from other servers such as Preprints.org, Thesis Commons, PeerJ, and multiple ArXiv repositories.[17]

See also

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia

Center for Open Science

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The Center for Open Science (COS) is a founded in 2013 and headquartered in , with a mission to increase the openness, integrity, and of scholarly by aligning scientific practices with core values of transparency and rigor. Co-founded by psychologist Brian Nosek, who serves as executive director, COS employs a systems-based approach to drive cultural change in through tools, , and policy advocacy. COS's flagship project is the Open Science Framework (OSF), a free, open-source platform launched in 2013 that supports the entire research lifecycle, from project planning and collaboration to , preregistration, and archiving, enabling over 600,000 registered users worldwide as of 2024 to manage and openly disseminate their work. The organization also developed the Transparency and Openness Promotion (TOP) Guidelines in 2015, a modular policy framework adopted by over 5,000 journals, societies, and institutions to standardize practices such as citation of data, code, and materials, and to promote verification through replication studies; an update known as TOP 2025 was released in 2024. Additionally, COS advances preregistration, where researchers publicly commit to hypotheses and analysis plans before conducting studies, with over 144,000 registrations (including preregistrations) completed on OSF as of 2023 to reduce selective reporting and enhance . Through and community partnerships, COS influences global policies, including contributions to funder mandates for and , and has facilitated the sharing of more than 2.4 million new public files via OSF in alone. These efforts have accelerated the adoption of open practices across disciplines, with TOP implementations correlating to higher citation rates for compliant and broader institutional commitments to ethical science.

Overview

Mission and Goals

The Center for Open Science (COS) defines as a global movement that aims to make scientific research and its outcomes freely accessible to everyone, encompassing , methods, publications, and other materials to foster transparency, , and accelerated progress. This approach addresses longstanding barriers in by promoting the sharing of research artifacts as a default practice. Established in 2013 amid escalating concerns over the reproducibility crisis—particularly in , where high-profile replication failures highlighted systemic issues in integrity—COS emerged as a nonprofit dedicated to advancing practices. The organization's mission is to increase openness, integrity, and reproducibility in scholarly by leveraging , technological tools, and policy alignment to create a scholarly where processes and outputs are openly accessible by default. COS pursues key goals that include democratizing access to outputs for broader societal benefit, aligning incentives among publishers, funders, and institutions to reward open practices, and promoting visible aspirational behaviors among researchers to normalize transparency and rigor within communities. These objectives aim to shift entrenched norms by making openness a core expectation rather than an exception, ultimately enhancing the reliability and impact of scientific knowledge. At the heart of COS's approach is a theoretical framework for , structured as a systems-based intervention that coordinates efforts across multiple levels: providing open infrastructure, supporting early adopters through and visibility, activating broad , aligning institutional incentives, and advocating for supportive policies. This model recognizes the interdependence of innovators, early adopters, and widespread activation to scale adoption and sustain long-term transformation in research behaviors. The Framework serves as a primary tool in realizing these goals by enabling seamless management and sharing of research materials.

Founding and History

The Center for Open Science (COS) was founded in 2013 as a dedicated to advancing technology and cultural changes in scientific research, headquartered in . Established by psychologist Brian Nosek and graduate student Jeffrey Spies at the , COS emerged from earlier efforts to develop tools for , including the initial public release of the Open Science Framework (OSF) in 2012. The organization's inception was driven by growing awareness of systemic issues in research practices, particularly in psychological science. This founding was closely tied to the reproducibility crisis in the social sciences, exemplified by high-profile scandals such as the 2011 fraud case of Dutch psychologist , who fabricated data in over 50 publications, exposing vulnerabilities in and data handling. Broader concerns about low replication rates and publication biases in further motivated COS to promote transparency and rigor from the outset. Early milestones included the formal launch of the OSF in 2013 as a free platform for managing and sharing research materials, followed by expansions into reproducibility initiatives by 2015, such as the Reproducibility Project: Psychology, which tested replication of 100 studies and found only 36% successful. These efforts marked COS's shift from tool development to active intervention in research culture. In its growth phases, COS transitioned from startup-like operations with a small team to a scaled entity fostering partnerships with journals, funders, and institutions. By 2017, the OSF had reached 70,000 registered users, and COS introduced initiatives like the first Registered Reports in 2014 and the Transparency and Openness Promotion (TOP) Guidelines in 2015 to standardize open practices. The saw accelerated development, including the launch of the TOP Factor in to evaluate journal policies and coordination of global conferences, culminating in the organization's 10th anniversary event at the in 2023 amid the U.S. White House's declaration of the "Year of ." Updates to the TOP Guidelines in 2025 refined standards for verifiability, reflecting ongoing evolution. As of 2025, COS has intensified policy advocacy in response to global mandates post-, including support for UNESCO's 2021 Recommendation on and U.S. federal shifts toward open-by-default access. During the , COS responded by creating an OSF collection to aggregate research outputs, facilitating rapid sharing amid urgent global needs. In August 2025, COS announced a temporary suspension of new submissions to the OSF Preprints generalist server for evaluation and improvements. Recent efforts integrate AI tools to enhance open practices, such as evaluating AI's impact on research infrastructure and benchmarking large language models for reproducibility assessments, aiming to address emerging challenges in automated science. On November 17, 2025, COS received a grant from the to develop tools for preserving and safeguarding publicly funded scientific data.

Organizational Structure

Leadership and Team

The Center for Open Science (COS) is led by co-founder and Executive Director Brian Nosek, a professor of psychology at the with expertise in . Nosek co-developed the , a widely used tool for measuring implicit biases that has influenced research on attitudes and stereotypes. In his role since the organization's founding in 2013, Nosek oversees strategic direction, including contributions to initiatives like the Transparency and Openness Promotion (TOP) Guidelines. The Board of Directors provides oversight and strategic guidance, comprising experts in open science, academia, nonprofits, and technology. Current members include Chair George Banks, an associate professor of management at the University of North Carolina at Charlotte; Vice Chair Damian Pattinson, Executive Director of ; Treasurer Adib Choudhury, Senior Associate at Evergreen Services Group; Matthew Buys, Executive Director of DataCite; Elaine Chen, affiliated with ; Daniel Correa, Chief Executive Officer of the ; Amanda Montoya, a at UCLA; Susanna-Assunta Sansone, a professor at the specializing in data standards; and Yvette Seger, Director of Science Policy at the Royal Society. Brian Nosek serves as a non-voting member. The board ensures alignment with COS's mission through periodic reviews and advice from diverse perspectives, including representatives connected to funding and policy bodies. COS's core team, exceeding 50 members as of 2025, is structured across departments focused on technology, community engagement, policy, and research to support operations and innovation. The technology department maintains the Open Science Framework (OSF) through roles like software engineers and the Senior Director of Engineering, Osmand Christian. Community engagement and product teams, led by Chief Product Officer Nici Pfeiffer, handle user support and platform development. The policy department, directed by Senior Director Maryam Zaringhalam, advances advocacy efforts, while the research department, under Senior Director Tim Errington, conducts studies on . Notable staff include Lisa Cuevas Shaw, who manages organizational operations. As a 501(c)(3) nonprofit, COS employs a governance model emphasizing transparency, with public disclosure of board composition, annual impact reports, and financials to align decision-making with open science principles. The Governance and Nominating Committee promotes diversity in board selection, requiring at least two candidates from underrepresented gender groups and two from underrepresented racial or ethnic groups. Leadership has evolved under Nosek's steady direction since 2013, with team expansion from a small founding group to over 50 members by 2025 to scale initiatives amid growing adoption of open practices. This growth includes additions like specialized directors for key areas, enhancing capacity for technology maintenance and policy influence.

Funding and Partnerships

The (COS) operates as a , relying primarily on grants from philanthropic foundations and government agencies rather than or commercial revenue streams. Initial seed funding in 2013 came from the Laura and John Arnold Foundation, providing $2.53 million to establish COS and develop its core infrastructure. Ongoing support includes multi-year grants from the , such as $500,000 in 2019 to enhance the Open Science Framework (OSF) and promote scientific openness, as well as awards from the Templeton World Charity Foundation and Templeton Religion Trust for similar initiatives. Government funding has also been pivotal, with grants from the (NSF) totaling over $4,000 in recent years for open-source ecosystem development, alongside contributions from the (DARPA) exceeding $3 million since 2018 for programs like SCORE, and from the (NIH) for open science adoption efforts. COS's annual budget has grown substantially since its inception, reflecting the expansion of its programs and services while maintaining a sustainable model centered on free, open-source tools like the OSF. Starting with the 2013 seed grant, sponsorships have increased annually, supporting operational scaling and pass-through funding for collaborative projects; by 2023, total revenues reached approximately $8 million, with expenses at $7.5 million, directed toward research transparency and infrastructure. This growth enables COS to prioritize long-term philanthropic and grant-based sustainability over profit-driven models, ensuring accessibility for global researchers. Key partnerships bolster COS's mission through collaborations with academic institutions, publishers, and organizations. COS was founded in with the , which continues to host and support its operations. With publishers, COS works to integrate practices like Registered Reports, where journals and funders jointly review protocols to align incentives for rigorous research. Notable alliances include the 2018 collaboration with to enable open annotations on OSF Preprints, facilitating peer feedback and transparency in . COS also engages with international networks, such as the 2024 with the Network for educational on study registration and reporting standards. In 2025, COS announced a with ResearchHub to accelerate scientific discovery through integrated platforms. These partnerships drive joint initiatives for policy advocacy and incentive alignment, including efforts with funders to promote preregistration and reproducibility standards across disciplines. For instance, collaborations with entities like Meta since 2024 provide access to privacy-preserving data for well-being research, advancing open data policies. COS maintains financial transparency through public annual reports, including audited financial statements and IRS Form 990s available since 2013, earning a four-star rating and 92% overall score from Charity Navigator for accountability and finance.

Open Science Framework

Development and Core Features

The Open Science Framework (OSF) was publicly launched in November 2012 by the (COS), under the leadership of Brian Nosek, as an open-source platform designed to support the full research lifecycle from planning to sharing. It originated from the dissertation work of Jeff Spies in Nosek's lab at the , aiming to address challenges in research transparency and collaboration by providing a centralized, version-controlled workspace. At its core, the OSF offers tools for team collaboration, including file storage, wiki-based documentation, and to track changes over time. It includes preregistration templates that allow researchers to document hypotheses, analysis plans, and study designs in a timestamped, uneditable format to promote transparency and reduce . The platform integrates with services like for code sharing and repositories such as or Figshare for assigning digital object identifiers (DOIs) to datasets, enabling persistent citation and discoverability. Technically, the OSF is a web-based application, free for users across all disciplines, with no limits on the number of projects or storage for public files. It incorporates features such as granular access controls for private or public visibility and comprehensive audit trails that log all user actions, timestamps, and file versions to support . The platform has evolved through ongoing updates, with enhancements in 2023 adding support for DataCite metadata schemas to better align with federal funding requirements for data sharing. In 2024, field-specific metadata templates were introduced via integrations like the CEDAR Embeddable Editor, facilitating FAIR (Findable, Accessible, Interoperable, Reusable) data principles. By October 2025, a refreshed interface improved navigation, usability, and mobile accessibility. In August 2025, COS announced a suspension of new submissions to the generalist OSF Preprints server to support growth in discipline-specific preprint services. These developments have enabled more than 2.4 million new public files to be shared via OSF in 2024 alone. A distinctive innovation is the OSF's integration of the Open Science Badges system, which awards digital badges for adhering to open practices, such as the badge for sharing reproducible datasets and the Open Materials badge for providing research protocols and tools. This system, developed in collaboration with journals and societies, incentivizes transparency directly within the platform.

Adoption and Usage Statistics

Since its launch in 2012, the Open Science Framework (OSF) has experienced significant user growth, reflecting increasing adoption of open science practices among researchers. By August 2022, the platform had reached 500,000 registered users worldwide, who used it to document, archive, and share their research outputs. This milestone underscored the mainstreaming of , with users posting over 2.6 million files in 2021 alone, equating to nearly 8,000 files daily. Growth accelerated post-2020 amid the shift to remote collaboration during the , with the average daily new user rate nearly doubling from 2020 levels to 447 per day in early 2022. By October 2024, OSF had surpassed 600,000 registered users, adding more than 370 new users daily across all research domains. In 2024, the platform welcomed 121,594 new registrants, demonstrating sustained momentum into the mid-2020s. The OSF's adoption is particularly robust in and the social sciences, where it originated and where concerns have driven early uptake, but it has expanded to life sciences, , and other fields. For instance, integrations with journals in these disciplines allow OSF to serve as a repository for supplemental materials, enhancing transparency in published work. Globally, the platform supports international access through its cloud-based infrastructure, with users from diverse regions contributing to over 13 million unique visitors in 2022 alone, who downloaded more than 51 million files. Institutional adoption has grown, with universities such as Harvard incorporating OSF into research workflows; as of 2025, Harvard-affiliated researchers were registered, facilitating grant compliance and . Many institutions now mandate or incentivize OSF use for funded projects, promoting standardized open practices. Key metrics highlight the OSF's impact on behaviors. As of November 2023, the platform had facilitated 144,030 registrations, including preregistrations to commit study plans in advance and reduce questionable practices. By 2022, users had already surpassed 100,000 such registrations, signaling a shift toward reproducible workflows. In 2024, OSF saw 105,868 new public projects, registrations, and preprints, alongside over 2.4 million new public files shared, indicating that a substantial portion of content is made openly accessible. Analytics from OSF-hosted studies show improved rates and higher citation impacts compared to non-open counterparts, with public projects enabling broader verification and . By late 2025, these trends continued, underscoring the platform's role in fostering verifiable, shareable science.

Key Initiatives

Reproducibility Projects

The Center for Open Science (COS) initiated the Reproducibility Project: Psychology (RPP) in 2011, led by Brian Nosek, to systematically assess the reproducibility of psychological research by attempting to replicate 100 experimental and correlational studies published in 2008 across three high-impact journals: Psychological Science, Journal of Personality and , and Journal of : Learning, Memory, and Cognition. The project employed high-powered replication studies, with sample sizes averaging 1.6 times larger than the originals, and involved a crowdsourced network of over 270 researchers from 117 institutions worldwide. Results, published in 2015, revealed that while 97% of the original studies reported statistically significant effects ("p < .05"), only 36% of the replication attempts achieved significance at the same alpha level, with replication effect sizes averaging 0.20 compared to 0.40 in the originals. This , titled "Estimating the Reproducibility of Psychological ," underscored systemic issues in the field, including questionable research practices such as p-hacking and selective reporting, which inflate false positives. Building on the RPP, COS launched the Reproducibility Project: Cancer Biology (RPCB) in 2013 in collaboration with the Science Exchange, a network of contract research organizations, to evaluate reproducibility in preclinical cancer research by replicating experiments from 50 high-profile papers published between 2010 and 2012 in top journals like Nature, Cell, and Science. Due to logistical challenges, including author non-responsiveness and escalating costs, the project ultimately completed direct replications of 50 experiments from 23 papers, with findings reported progressively from 2016 to 2021. Overall, 46% of the replication attempts were deemed reproducible based on criteria including statistical significance, effect size consistency, and qualitative alignment, though original positive results replicated successfully only 40% of the time compared to 80% for null results; replication effect sizes were on average 85% smaller than originals. These outcomes, published in eLife, highlighted barriers like incomplete methodological details and variability in lab protocols, while demonstrating the feasibility of rigorous, independent replication in biomedicine. Both projects utilized crowdsourced or contracted replication teams, preregistered protocols to minimize bias, and open data sharing via the Open Science Framework (OSF) to ensure transparency and allow community verification. To address selective reporting identified in these efforts, COS developed preregistration tools on OSF, enabling researchers to prospectively document hypotheses, analyses, and plans before conducting studies, thereby preventing post-hoc adjustments that undermine . In broader efforts, COS supported the Many Labs series of cross-laboratory replication initiatives, starting with Many Labs 1 in and extending through Many Labs 5 in 2020, which involved dozens of labs worldwide replicating key psychological effects to assess generalizability across samples, settings, and teams. These projects found heterogeneous replicability rates—for instance, Many Labs 5 tested preregistration and interventions, achieving higher success in reviewed replications—contributing to meta-analytic insights on effect robustness. As of 2025, COS continues these endeavors through ongoing meta-reviews and collaborations, such as integrations with Registered Reports formats, to refine reproducibility estimation and promote scalable replication infrastructure.

Transparency and Openness Promotion Guidelines

The Transparency and Openness Promotion (TOP) Guidelines were developed in 2015 by Brian Nosek and colleagues at the as a collaborative effort involving journals, funders, and scientific societies to standardize and encourage practices. Published in Science, the guidelines emerged from a aimed at aligning scientific ideals with practical policies to enhance transparency, , and in . Initially endorsed by 86 journals and 26 organizations, the framework has since garnered over 5,000 signatories, reflecting broad community support. The TOP Guidelines consist of eight modular standards covering key aspects of research transparency: citation, , analytic methods (code) transparency, research materials transparency, design and analysis transparency, preregistration of studies, preregistration of analysis plans, and replication. Each standard operates on a tiered system with three levels of —Level 1 (disclosure of practices), Level 2 ( for sharing and citation where applicable), and Level 3 (independent verification)—allowing adopters to select based on capacity and readiness. The structure emphasizes seven core research practices, such as and preregistration, supplemented by verification methods to assess compliance during . An accompanying guide offers editors template language for author instructions, review criteria, and policy integration to facilitate adoption without overhauling existing workflows. Adoption has extended to over 100 journals mandating at least TOP Level 1, including Psychological Science, which requires disclosure of data, materials, and analysis plans to promote verifiable research outputs. Institutions, such as universities and funding bodies like the , have incorporated TOP into their policies to foster at organizational levels, with signatories committing to review and align guidelines within one year. This widespread uptake, tracked via the TOP Factor metric evaluating policy strength across 2,000+ journals, underscores the guidelines' role in shifting norms toward openness. In September 2024, a preprint released TOP 2025, an updated version refined through extensive consultation with the TOP Advisory Board and community feedback to address contemporary challenges in scientific communication. The revisions reorganize the framework into seven research practices (e.g., reporting transparency, study protocols), two verification practices (computational reproducibility and comprehensive reporting), and four verification study types (replication, registered reports, multiverse analysis, many-analysts studies), while streamlining levels for clarity. This iteration promotes preprints as citable research outputs and responds to evolving issues like data privacy by emphasizing verifiable sharing without mandating full openness where barriers exist. Integration with the Open Science Framework enables automated compliance tracking for adopters. Studies evaluating TOP implementation demonstrate its effectiveness in boosting open practices, with journals adopting the guidelines showing a 20-30% rise in open data sharing compliance compared to pre-adoption baselines, thereby improving research verifiability and reducing reproducibility crises. For instance, analyses of psychology journals post-TOP reveal higher rates of data deposition and code availability, contributing to greater trust in published results.

Preprint and Preregistration Services

The Center for Open Science (COS) provides preregistration services through the Open Science Framework (OSF), enabling researchers to publicly document their study plans, hypotheses, and analysis strategies before data collection to promote transparency and reduce questionable research practices. These services include structured templates tailored for various study types, such as clinical trials—which outline intervention details, outcomes, and ethical considerations—and exploratory studies, which specify research questions and data handling without confirmatory hypotheses. The OSF Preregistration Challenge, launched as an educational initiative in 2013 and running through 2015 with extensions supported by the Laura and John Arnold Foundation until 2019, awarded prizes for publishing results from preregistered studies to encourage adoption. As of 2022, the OSF had surpassed 100,000 preregistrations across disciplines, reflecting growing uptake, with the number continuing to increase thereafter. In parallel, COS developed OSF Preprints as a response to the delays in traditional journal publishing, which can take months or years, allowing immediate sharing of unpublished manuscripts to accelerate feedback and dissemination. Launched in 2016, this platform hosts community-led disciplinary servers, including PsyArXiv for psychology and related fields, which debuted on December 5, 2016, and SocArXiv for social sciences, which followed on December 7, 2016, both built on the open-source OSF infrastructure. To enhance interoperability, OSF Preprints partners with established servers like arXiv and bioRxiv, enabling cross-posting of manuscripts to broaden reach across physics, biology, and other domains. Effective August 25, 2025, new submissions to the generalist OSF Preprints server were suspended to review usage and moderation, though this does not affect community-run servers such as PsyArXiv and SocArXiv. Key features of OSF Preprints include automated DOI minting through Crossref for each submission, ensuring citable permanence, and versioning that allows authors to upload revisions while preserving access to prior iterations via stable URLs. Timestamped archiving upon upload establishes priority and helps prevent selective reporting or other questionable practices by creating an immutable public record. While s undergo no formal on the platform, they integrate with journal submission processes, as most publishers now permit prior posting, and tools like Hypothes.is enable community commenting for informal feedback. In 2025, enhancements included a refreshed OSF interface for improved and expanded capabilities to foster collaborative discussion. OSF Preprints have seen substantial usage, with millions of file downloads annually from the broader OSF ecosystem, contributing to rapid knowledge exchange; in 2024 alone, over 2.4 million new public files were shared via OSF. During the , these services played a key role in accelerating dissemination, as preprints—including those on PsyArXiv—enabled swift sharing of findings on , , and interventions, often garnering higher download rates than non-crisis . This aligns with COS's Transparency and Openness Promotion (TOP) standards by facilitating early, verifiable sharing of research outputs.

Impact and Developments

Achievements and Research Contributions

The Center for Open Science (COS) has produced influential outputs that have shaped the movement. A seminal contribution is the 2015 paper in Science by Nosek and collaborators, which replicated 100 psychological studies and found that only 36% produced statistically significant results consistent with the originals, underscoring the reproducibility crisis and advocating for transparent practices. COS-led initiatives have yielded peer-reviewed articles, including studies on preregistration and cultural barriers to , establishing benchmarks for rigorous, verifiable research. COS has received notable recognition for its efforts. In 2017, founder Brian Nosek was awarded the American Association for the Advancement of (AAAS) Scientific Freedom and Responsibility Award for advancing and in science. The organization also holds a perfect 4-out-of-4-star rating from , reflecting strong accountability, finance, and impact in nonprofit evaluations. COS's work has extended to policy influence and capacity building. It played a key role in advocating for the National Institutes of Health's (NIH) 2023 Data Management and Sharing Policy, which mandates public data access for federally funded research to enhance reusability and verification. Through training programs like workshops on the Framework (OSF) and Transparency and Openness Promotion (TOP) Guidelines, COS equips researchers with tools for ethical, open workflows. Metrics demonstrate COS's impact on scientific practices. Journals issuing open science badges have seen open data reports rise from under 3% to over 23% of articles. In 2025, COS released an updated version of the TOP Guidelines as a , reorganizing standards into research practices, verification practices, and verification studies to further promote verifiability. Additionally, COS's initiatives support the by democratizing knowledge for global challenges like health and education.

Challenges and Future Directions

Despite significant progress, the Center for Open Science (COS) encounters notable challenges in advancing open practices across the research ecosystem. Traditional publishing models pose a primary barrier, as they frequently require authors to relinquish copyright, hindering the free sharing of research outputs and conflicting with open access goals. Article processing charges (APCs) in open access publishing further exacerbate inequities by placing financial burdens on authors, particularly those without institutional support, prompting COS to advocate preprints as a cost-effective alternative. Equity issues persist, with under-resourced researchers facing limited access to tools, training, and infrastructure needed for open science participation, which COS addresses through its Inclusion, Diversity, Equity, and Access (IDEA) framework aimed at eliminating such barriers and uplifting underrepresented groups. Scalability in non-Western contexts is constrained by infrastructural gaps and resource disparities in the Global South, where adoption of open practices lags due to varying institutional priorities and technological limitations. Criticisms of COS's efforts include debates over an perceived overemphasis on , stemming from its origins in addressing the in that field, potentially sidelining other disciplines in early initiatives. Concerns about "open washing"—superficial adoption of open labels without substantive reform—have arisen within the broader scientific reform movement, which COS has engaged through hosting critical symposia to examine these issues and their institutional implications. In response, COS has implemented equity-focused measures, including ongoing IDEA training, inclusive policy development, and partnerships to enhance accessibility for diverse scholars, though specific grants for Global South participation are not detailed in public reports. The organization actively advocates for funder mandates requiring open and reproducible practices, providing support to agencies like the NIH and responding to policy requests to embed transparency across funding lifecycles. Looking ahead, COS is formulating a 2026–2028 strategic plan, developed through community input from mid-2025 to early 2026, to refine goals, embed equity, and establish real-time metrics for progress in openness and rigor. This includes expanding interdisciplinary applications, such as through the TOP Guidelines and preregistration tools adaptable beyond . A key focus is AI ethics in , with initiatives benchmarking large language models (LLMs) on , robustness, and replication to ensure AI tools uphold scientific integrity. These efforts aim to measure long-term gains in by extending frameworks like the DARPA-funded SCORE project to evaluate AI agents systematically. COS envisions a scholarly where open practices—encompassing transparent workflows, accessible , and inclusive collaboration—are the default by 2030, positioning itself as a hub for global standards through sustained and community-led .

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