Open science monitoring—the systematic observation and evaluation of open science activities—has become an imperative in the global landscape. It enables stakeholders to assess how widely research outputs such as publications, data, and software are shared openly. Japan’s new monitor addresses pressing challenges inherent in conventional monitoring methodologies, which have often been criticized for obscuring their calculation methods and lack of data transparency. By harnessing open-source code and openly accessible datasets, the Japan Open Science Monitor guarantees reproducibility and objectivity in reporting, setting a new benchmark for monitoring platforms.

The development leverages OpenAlex, a comprehensive open bibliographic database curated by the United States-based nonprofit OurResearch, to derive indicators of open access specific to Japanese scholarly publications. OpenAlex’s expansive coverage of institutional information and research outputs allows for an extensive and reliable assessment of open access trends. Utilizing such a global database facilitates direct comparison between Japan’s progress and that of other nations, promoting an evidence-based dialogue on open science policies across borders.

At its core, this monitor is inspired by the French Open Science Monitor, a pioneering initiative developed by France’s Ministry of Higher Education, Research, and Space (MESRE). The French model exemplifies transparency by making its source code, user interface, and methodology open access under clearly defined licenses. This ensures that users worldwide can adapt and reuse the platform’s tools, fostering international collaboration. Japan’s adaptation of this methodology reinforces not only technical harmonization but also a shared commitment to open science principles on a global scale.

The platform’s initial focus is on open access indicators pertaining to research publications. These indicators provide quantifiable metrics that reflect the extent to which Japanese research articles are available openly. This transparency supports policymakers, academic institutions, and publishers in understanding current dissemination practices and identifying areas needing improvement. The precise and verifiable nature of the data also lends credibility to such assessments, which are essential for crafting effective incentives for researchers to embrace open science.

Looking ahead, the Japan Open Science Monitor plans to broaden its scope beyond publications, incorporating metrics related to research data and scientific software. This gradual expansion aligns with evolving international trends in open science, recognizing that sharing comprehensive research outputs is pivotal to accelerating scientific discovery. The inclusion of diverse data types will present technical challenges but promises a more holistic view of the openness of Japan’s research ecosystem.

A particularly innovative element in the monitor’s future development is the integration of Japan’s Institutional Repositories Database (IRDB). Unlike OpenAlex, which currently lacks exhaustive coverage of Japan’s unique repository landscape, the IRDB aggregates metadata from academic institutions nationwide. Incorporating this additional data source will enhance the accuracy of open access assessments and fill gaps in the international bibliographic datasets, tailoring the monitoring to Japan’s research environment.

The societal implications of this initiative are substantial. By enabling the open sharing of its methodologies and data, Japan fosters transparent discourse on open science advancements. This openness not only builds trust within the scientific community but also encourages collaborative efforts in tackling challenges related to data sharing, reproducibility, and research accessibility. Furthermore, by adopting a globally recognized framework, Japan positions itself as an active contributor to the international open science movement, enhancing the visibility and impact of its research outputs.

Statements from key figures involved underscore the collaborative spirit and transformative potential of the Japan Open Science Monitor. Jean-Luc Moullet, Director General for Research and Innovation at France’s MESRE, highlighted the mutual benefits of adopting open science principles in monitor development, emphasizing strengthened bilateral cooperation and a unified approach to tracking open science. His endorsement signals robust international support for Japan’s efforts.

Mikiko Tanifuji, Director of NII’s Research Center for Open Science and Data Platform, stressed the importance of objective, transparent measurement of open science progress. She expressed strong confidence that this platform would support evidence-based research policies while evolving uniquely with the Japanese academic culture. Her vision includes expanding beyond publications to cover data and software, thus creating an all-encompassing infrastructure for open science monitoring.

The project was institutionally supported by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) through its Open Access Acceleration Project, underscoring governmental commitment to advancing open access. This backing is crucial for sustaining the technical development, fostering adoption, and ensuring the platform’s alignment with national research priorities.

Japan’s National Institute of Informatics (NII) serves as the project lead, embodying its mission to create future value through informatics. NII’s role encompasses the development of academic infrastructure critical for open science, including data platforms capable of integrating diverse sources and delivering actionable insights. As a unique institution in Japan’s informatics landscape, NII exemplifies the technological expertise and research vision requisite for such an ambitious endeavor.

The Research Organization of Information and Systems (ROIS), the parent organization overseeing multiple national research institutes including NII, supports cross-institutional collaboration and the advancement of integrated research methodologies. Through the Japan Open Science Monitor, ROIS facilitates the translation of open science principles into measurable outcomes, promoting transparency and innovation at the national level and beyond.

In sum, the Japan Open Science Monitor represents a state-of-the-art initiative that not only tracks the openness of Japanese research but also contributes to the global open science movement. Its commitment to transparency, data integration, and international cooperation sets a precedent for other nations aiming to harness open data and open source methodologies to catalyze research innovation. As open science increasingly shapes research culture worldwide, Japan’s monitor will serve as an indispensable instrument for scientists, policymakers, and institutions fostering a future where scientific knowledge is freely and openly accessible to all.

Subject of Research: Open Science Monitoring and Open Access Indicators for Scholarly Publications in Japan

Article Title: Japan Launches Open Science Monitor to Track National Progress Using Global Standards

News Publication Date: Not specified in the provided content

Image Credits: © National Institute of Informatics (NII)

Keywords: Open Science, Open Access, Research Monitoring, Japan, OpenAlex, Institutional Repositories, Open Science Indicators, Bibliographic Databases, Research Policy, Open Data, Research Transparency, International Collaboration

The original study, authored by Pang, B., Wang, Y., Xu, K., and colleagues, addressed a critical intersection of geotechnical engineering and remote sensing technology. Their work sought to quantify how pile reinforcements interact with both cohesive soils, known for their complex plastic behavior, and cohesionless soils, characterized by granular particle interactions and frictional resistance. This focus on understanding slope stability through sophisticated numerical simulations represented a fresh direction in mitigating landslide risks and subsidence in vulnerable landscapes.

However, the retraction implies that underlying methodological or analytical issues may have compromised the validity of the conclusions drawn. While the retraction note itself does not elaborate on specific faults, the situation underscores the inherent challenges in applying numerical analysis to soil-structure interaction problems. Accurate modeling of pile reinforcement effects requires not only detailed soil behavior characterization but also precise calibration of boundary conditions and validation against empirical data sets—factors known to be demanding within geotechnical research.

The use of remote sensing as an assisting tool in this context was a particularly novel aspect of the research. Remote sensing technologies, such as LiDAR and satellite-based imagery, offer powerful means to monitor slope deformations and environmental changes over large spatial and temporal scales. Integrating these data sources with advanced finite element or finite difference models can potentially revolutionize predictive maintenance and hazard mitigation strategies in slope engineering. The retracted study aimed to demonstrate this integration’s feasibility, but the recent withdrawal raises questions about the robustness of such multidisciplinary approaches.

From a technical perspective, simulating pile reinforcement effects involves capturing the interaction mechanics between rigid structural elements and deformable soil substrates under various loading conditions. Cohesive soils, with their tendency for plastic deformation and shear strength governed by cohesion and internal friction angle, require complex constitutive models to predict failure mechanisms accurately. Cohesionless soils, lacking adhesive forces, rely heavily on effective stress principles and granular flow mechanics, which present distinct modeling challenges.

The research also attempted to quantify the beneficial influence of piles in stabilizing slopes prone to failure due to gravitational forces and hydrological factors. By reinforcing weaker soil layers, piles can redistribute stress, enhance slope stiffness, and prevent displacement. Yet, numerical models must carefully account for pile-soil interface properties, including friction and adhesion, to capture realistic behavior. Any oversimplification or computational error in this regard can significantly impact predictive reliability, casting doubt on conclusions about reinforcement efficacy.

The decision to retract this pivotal work reminds the scientific community of the vital role that peer review, data transparency, and reproducibility play in maintaining research integrity. In interdisciplinary studies marrying geotechnical modeling with remote sensing analytics, these principles become even more crucial, given the complexity and novelty of combining disparate data types and analytical frameworks. As such, the retraction may serve as a catalyst for establishing more rigorous standards in future investigations.

Moreover, this episode highlights the importance of continuous validation and calibration of numerical models using field observations and laboratory experiments. While numerical simulation offers unparalleled flexibility and insight into soil-structure interaction phenomena, it is inherently limited without empirical grounding. Models must be iteratively refined through real-world feedback loops to ensure their outputs are reliable for engineering decision-making.

In light of the retraction, researchers in geotechnical engineering and remote sensing are encouraged to revisit assumptions underlying their modeling approaches, particularly when addressing slope stabilization strategies. This includes considering heterogeneity in soil properties, dynamic environmental loads such as rainfall and seismic activity, and the nonlinear behavior of reinforcement elements under critical stress conditions. Enhanced computational resources and improved data acquisition methods should be leveraged to achieve these aims.

Furthermore, this development sheds light on the evolving nature of scientific understanding in earth sciences. The iterative process of publication, critique, correction, and sometimes withdrawal is intrinsic to scientific progress. Far from representing failure, retractions signify a commitment to the highest standards of accuracy and responsibility. The community’s response to such events often ultimately strengthens consensus and informs better practices.

As this case leaves numerous questions unanswered, it acts as a reminder of the imperative need for interdisciplinary collaboration. Geotechnical engineers, remote sensing experts, numerical modelers, and field practitioners must work closely to align methodologies, verify outputs, and translate findings into actionable solutions for slope management and hazard reduction.

Looking ahead, the fusion of advanced remote sensing data with robust numerical simulations remains a promising frontier. When executed with rigor and transparency, such integrated approaches could enable early warning systems for landslides, optimize design of slope reinforcement structures, and promote sustainable infrastructure development in challenging terrains globally.

In conclusion, the retraction of the paper by Pang et al. serves as a notable event in environmental earth sciences, revealing both the potential and the pitfalls of using numerical analysis to assess pile reinforcement effects on soil slopes. It emphasizes the necessity for meticulous methodological scrutiny, empirical validation, and open science practices in advancing this critical area of research. The journey towards safer, more resilient slopes continues, informed by lessons learned from this reflective moment in scientific inquiry.

Subject of Research: Numerical analysis of pile reinforcement effects on cohesive and cohesionless soil slopes with applications in remote sensing-assisted engineering.

Article Title: Retraction Note: Numerical analysis of pile reinforcement effect on cohesive and cohesionless soil slopes for assisting remote sensing.

Article References:
Pang, B., Wang, Y., Xu, K. et al. Retraction Note: Numerical analysis of pile reinforcement effect on cohesive and cohesionless soil slopes for assisting remote sensing. Environ Earth Sci 84, 660 (2025). https://doi.org/10.1007/s12665-025-12700-8

Image Credits: AI Generated

The identification of Isodon rubescens was deeply rooted in the expertise of Zaiyou, whose credentials in botany lend considerable weight to the study. The research methodology adhered to strict ethical guidelines laid down by the Chinese government, ensuring that the collection and analysis of the plant material were both responsible and scientifically valid. The voucher specimens from this study are preserved within the Henan Institute of Science and Technology’s herbarium, making them accessible for future investigations and inspections. Such transparency in research practices fosters trust and collaboration in the scientific community.

Seeds of Isodon rubescens were collected in October 2021 from cultivated plants within an experimental site located in Xinxiang, situated in the Henan Province. The importance of collecting viable seeds cannot be understated, as they serve as the foundation for understanding plant growth, development, and ultimately, their ecological roles. The carefully sown seeds germinated in the spring of the following year, a clear indication of the plant’s adaptive traits and robust nature. By March 2023, researchers had successfully transplanted a selection of about 100 plants to a sunnier experimental location, enabling a more controlled environment for studying their photosynthetic characteristics.

The dynamic growth of the Isodon rubescens plants observed by May 2024 revealed their potential; with heights ranging from 40 to 80 cm and branching patterns encompassing 2 to 8 branches, these plants exemplified the vigor associated with a healthy, thriving species. The presence of multiple leaf pairs on each stem was noted, as variations in leaf structure often correlate with distinct physiological functions within the plant. The young leaves, angled strategically for optimal light capture, illuminated the significance of leaf positioning in enhancing photosynthesis—an aspect central to this study’s focus.

On May 16, 2024, a carefully selected sample of six Isodon rubescens plants became the focal point for examining the photosynthetic capabilities of leaves at designated positions on the stems. The researchers initiated their investigation by monitoring the photosynthetic rates of the uppermost leaves, known as the No. 1 leaves, which exhibited higher areas compared to other leaf positions. This selection was grounded in scientific reasoning, as leaf morphology plays a crucial role in the plant’s ability to engage in photosynthesis efficiently.

To quantify photosynthetic activity, researchers utilized a Li-6400 photosynthesis system, ensuring accurate measurements were obtained under consistent conditions. Light intensity, carbon dioxide concentration, temperature, and gas flow were standardized to eliminate external variation—a critical aspect when aiming for reproducibility in ecological studies. The researchers meticulously documented these parameters, reinforcing the reliability and precision of their photosynthetic assessments.

Parallel to measuring photosynthetic rates, the study examined the rapid light curves of chlorophyll fluorescence. This technique illuminated not just the photosynthetic efficiency but also the plant’s adaptive mechanisms in response to varying light conditions. Prior to measurement, leaves underwent a dark adaptation period, a method employed to gauge their dark-acclimatization potential. It is during this phase that the plant’s intrinsic properties can be observed, providing critical insights into the efficiency of photosynthetic photochemistry.

Further research activities included investigating light response curves for leaves at multiple positions along the stem. Conducted over two consecutive days, these measurements not only refined the data on photosynthetic rates but also expanded the understanding of how different leaves respond to light intensity across a gradient. The precision of their procedures, alongside the collection of extensive data points, laid the foundation for a nuanced interpretation of Isodon rubescens’ photosynthetic characteristics.

In analyzing the light response curves, the researchers opted for a modified rectangular hyperbola model, a recognized framework in photosynthesis research. This robust model was pivotal for illustrating the relationship between light intensity and photosynthetic rate, leading to greater clarity concerning plant performance under varied light conditions. The output parameters, including the net photosynthesis rate, light compensation point, and more, were crucial in developing a comprehensive profile of the plant’s photosynthetic dynamics.

To complement their findings, the investigators calculated critical benchmarks like the dark respiration rate and light saturation point. By understanding the thresholds beyond which photosynthesis becomes suboptimal or saturates, researchers can forecast plant behavior under environmental fluctuations—a pressing endeavor in the face of climate change. This aspect of research serves not only botanical interests but also agricultural perspectives, where understanding light dynamics can influence crop optimization strategies.

As sophisticated as the photosynthetic assessments were, the rapid light curves of chlorophyll fluorescence invoked a parallel depth of analysis. By applying models such as that proposed by Eilers and Peeters, the researchers effectively determined the electron transport rate in photosystem II, an essential component of photosynthesis. This measurement afforded them insights into the efficiency of photosynthetic electron transport under different light intensities.

One of the standout features of this research was the determination of the light intensity at which photosynthesis saturates and the subsequent calculation of maximum electron transport rates. The researchers meticulously calculated these variables, contributing to a clearer understanding of Isodon rubescens’ photosynthetic efficiency and potential applications in enhancing plant productivity, especially in varied environmental conditions. As the study progresses, the implications of this research could extend into practical realms of environmental management and agricultural innovation.

Data analysis played a fundamental role in interpreting the extensive datasets generated from the experiments. Utilizing the Statistical Product and Service Solutions (SPSS), the methodology ensured a rigorous statistical examination of results, leading to reliable conclusions that advance the scientific understanding of Isodon rubescens. The application of such comprehensive analytical techniques helped in validating observations and confirming correlations essential for deeper scientific exploration.

In conclusion, the intricate tapestry of photosynthesis in Isodon rubescens, as detailed in this study, highlights the complexity of plant responses to environmental stimuli. As researchers continue to peel back the layers of understanding regarding plant physiology, this research not only exemplifies the depth of inquiry achievable but also sets the stage for future explorations that could influence botanical sciences and beyond. Isodon rubescens serves as a critical case study in the broader narrative of plant adaptation, resilience, and the intricate relationships between flora and their environments.

Subject of Research: Photosynthesis diversity of Isodon rubescens

Article Title: Photosynthesis diversity of Isodon rubescens (Hemsley) H. Hara leaves at different leaf positions.

Article References:

Zaiyou, J., Susu, J., Xiaomin, T. et al. Photosynthesis diversity of Isodon rubescens (Hemsley) H. Hara leaves at different leaf positions. Sci Rep 15, 36996 (2025). https://doi.org/10.1038/s41598-024-76380-3

Image Credits: AI Generated

DOI:

Keywords: Photosynthesis, Isodon rubescens, Chlorophyll fluorescence, Light response curves, Leaf position, Photosynthetic rate, Botany, Plant physiology, Environmental adaptation.

Open research, often referred to as open science, embodies a transformative approach where all outputs of scholarly work—including datasets, software, and code—are made accessible for peer scrutiny, reuse, and further advancement. The underpinning philosophy is to foster reproducibility and replicability in research findings, thereby enhancing the credibility and reliability of scientific knowledge. This new study offers a compelling quantification of this movement’s penetration, revealing that more than half of the sampled authors included a Data Availability Statement (DAS), which transparently communicates the accessibility status of research data.

The inclusion of DAS is a critical feature as it signals a cultural shift among researchers toward greater openness. Although many journals do not strictly require these statements, the study detected a surprisingly high adoption rate of 52%, suggesting that researchers are voluntarily embarking on this practice. This level of engagement is a testament to their recognition that sharing data can significantly elevate their research’s profile, influence, and collaborative potential within the global scientific community.

Furthermore, the analysis revealed that in some disciplines, nearly one-third of researchers openly shared their underlying data irrespective of journal policies. This independent choice to make data publicly accessible underscores a growing acknowledgment of the benefits of open data—from promoting methodological transparency to accelerating discovery. It represents a conscious effort by researchers to prioritize the collective advancement of knowledge over traditional notions of proprietary ownership of research outputs.

Underpinning the methodology of this research was an AI-driven landscape analysis designed by DataSeer, which systematically scanned the metadata and content of over 8,000 articles from Taylor & Francis’s extensive portfolio of more than 2,700 journals. This sophisticated approach allowed for the nuanced detection of open research indicators, ranging from DAS inclusion to the sharing of code and software artifacts, highlighting multi-faceted dimensions of openness beyond mere data sharing.

One of the report’s novel contributions involves its granular dissection of disciplinary and geographic variations in open research adoption. It demonstrates that openness is not uniformly distributed across fields; some scientific communities have advanced more rapidly towards data transparency and openness, while others lag behind. This uneven uptake unveils strategic opportunities for targeted outreach and policy refinement by publishers and research institutions aiming to cultivate a more universally open research culture.

The report titled “Moving the needle on open data” not only quantifies data sharing practices but also captures ancillary dimensions such as the prevalence of preprint dissemination and the adoption of persistent digital identifiers like ORCID iDs. These complementary practices are integral to the open science ecosystem, as they support the rapid dissemination of knowledge, enhance discoverability, and ensure proper attribution to researchers, thus facilitating a robust scholarly infrastructure within which open research can flourish.

Rebecca Taylor-Grant, Director of Open Science Strategy & Innovation at Taylor & Francis, expressed optimism about the findings, highlighting how these encouraging trends surpass initial expectations. She emphasized that this empirical insight will inform tailored support mechanisms aimed at empowering authors to embed open science practices more deeply within their workflows, thereby driving sustainable cultural change.

Tim Vines, founder and CEO of DataSeer, underscored the strategic importance of the study’s insights, noting that the continuous monitoring of open science metrics equips publishers to iteratively refine policies in harmony with evolving research behaviors. By leveraging such data-driven intelligence, stakeholders can pragmatically accelerate the transition toward a more transparent, rapid, and reproducible scientific enterprise.

Taylor & Francis’s commitment to collaboration with the academic community is reflected in its plans to operationalize these insights through discipline-specific support programs. With a diverse journal portfolio, fostering openness requires nuanced engagement that respects epistemic differences while promoting universal principles of transparency and accessibility across sciences, social sciences, and humanities.

The study’s release, coupled with the publicly accessible dataset hosted on Figshare, offers an invaluable resource to researchers, policymakers, and publishers alike. By illuminating patterns of open data sharing and related practices on a large scale, it catalyzes enhanced understanding and fosters informed debate about the future direction of scholarly communication.

Ultimately, this analysis signals a pivotal moment in the maturation of open science, where motivations for data sharing transcend compliance and reflect intrinsic values such as increased visibility, enhanced impact, and collaborative synergy. As the scientific community continues to adapt to the demands of an interconnected knowledge economy, such empirical evidence provides a foundation for innovation in publishing policies and research culture transformation.

In sum, the Taylor & Francis and DataSeer collaboration delineates a comprehensive portrait of current open research practices, emphasizing substantial yet heterogeneous progress. By harnessing AI and expansive datasets, the study sets a benchmark for ongoing monitoring and reinforces the crucial role of open data in advancing rigorous and trustworthy scholarship.

Subject of Research: Open Research Practices and Data Sharing in Scientific Publications
Article Title: Moving the needle on open data
News Publication Date: 2024
Web References:
– https://insights.taylorandfrancis.com/research-impact/moving-the-needle-on-open-data-new-study/
– https://doi.org/10.6084/m9.figshare.30316342
Keywords: Data availability, Open science, Scientific publishing, Academic publishing, Information access, Open access, Science communication