Articles tagged with Scientific Data
A new study argues that taxonomic images, as standardized references for biodiversity data, are exempt from copyright laws. The authors recommend reusing such images without permission, citing ethical and scholarly standards.
The article outlines policies and guidelines for scholarly publishing of biodiversity and biodiversity-related data. The guidelines cover general concepts, including dataset definitions, incentives to publish data, and licences for data publishing.
The Nextstrain software tool has won the first-ever international Open Science Prize for its ability to track genetic mutations during disease outbreaks. The platform makes it easier to share and analyze genetic sequencing data, aiming to speed discoveries and improve human health.
McGill University has become the world's first Open Science academic institution, aiming to accelerate research and discovery of new treatments for neurological diseases. The MNI is opening its books to international partners, ensuring transparent data sharing on genomic and health data.
A consumer EEG device is generating valuable data for neuroscience research, revealing new information on what happens to our thinking processes as we age. The device's large-scale data collection has enabled scientists to study the brain in the real world, shedding light on sex differences and cognitive functions.
A new study from Vanderbilt University uses game theory to simulate re-identification risks and strikes an optimal balance between data sharing and privacy. The approach compares various data sharing policies in terms of risk and scientific utility, providing a more realistic estimate of the risk.
New study published in Psychological Science suggests that a person's character is more important than their actions in determining our sense of moral disgust. Researchers found that participants rated individuals with worse characters as more disgusting, regardless of the action taken.
Researchers used crowdsourced data to investigate earthquake feelings in Italy and Greece. Intermediate-depth earthquakes are often felt on the African side of the Africa-Eurasia plate boundary.
Researchers at Concordia University have designed a new software solution called Hypnoguard to safeguard laptop data while the computer is in sleep mode. The system uses encryption and password-based authentication to protect critical data from unauthorized access.
A study found over 600 genera of arthropods in US home dust, with diversity linked to pet presence and rural areas. Climate played a significant role in determining specific arthropod ranges.
A recent study analyzed data on 1,500 plane crashes and found that a death toll of around 50 is the minimum threshold for predicting significant levels of public interest. The research also showed that location, media coverage, and other factors influence article views, highlighting biases in Wikipedia's 'sum of human knowledge'.
Dr. Calum MacRae wins $75M One Brave Idea research award from AHA, Verily and AstraZeneca to uncover causes of coronary heart disease. The research project will focus on identifying novel markers in people genetically prone to heart disease.
A new map reveals that humans have seriously altered 97% of the planet's most biodiverse regions, including tropical rainforests. The study found that environmental pressures are widespread, but some nations and countries with strong governance are showing signs of improvement.
Researchers have mapped estimated internal migration in Africa, Asia, and Latin America, providing vital data for combating infectious diseases like malaria. The maps show webs of connectivity within countries, aiding effective disease control planning and resource targeting.
Researchers used data on taxi trip records and points of interest from FourSquare to gather insights into neighborhood crime rates. The study found that areas with nightclubs tend to be low-crime areas, suggesting people choose safe destinations.
Researchers argue that data sharing is crucial for effective response to public health emergencies and that routine practice will be needed. Three major impediments limit data sharing, including lack of standards for data users, concerns over scholarly stature, and inadequate technology or human capacity.
A recent survey of 1145 marine users found strong public support for citizen science projects, highlighting room for growth in this field. The study's findings have implications for both researchers and the general public, emphasizing the need for further research on citizen science's effectiveness.
The Yale Open Data Access (YODA) Project has made significant progress in accelerating clinical trial data sharing, enabling greater access to high-quality medical research. The project's independent scientific reviews have ensured fair judgment and decision-making authority over data release.
A robot called SCINDR aims to connect medical scientists worldwide who are working on similar research projects. By analyzing open data from electronic lab notebooks, the robot will suggest collaborations between researchers, potentially accelerating discoveries and treatments.
The EU is developing the European Open Science Cloud to provide robust e-infrastructures for publicly funded research data. However, many researchers face challenges in using these services due to technical limitations. Virtual Research Environments (VREs) can help bridge this gap by providing intuitive interfaces and seamless collabor...
A study analyzing climate and mortality data reveals that 64-506 deaths in London and Paris can be attributed to anthropogenic climate change, increasing the risk of heat-related mortality by 20% and 70%, respectively. The analysis will help agencies create more accurate emergency plans for extreme weather events.
The adoption of machine learning techniques in ecology and earth science has the potential to greatly accelerate the pace and quality of science. However, despite its advantages, machine-learning methods have not met their full potential due to communication gaps, graduate education deficiencies, and training data requirements.
The guidelines aim to help researchers avoid common pitfalls in statistical reasoning and ensure accurate findings. The rules emphasize the importance of data quality, careful design, and replication to increase the likelihood of robust results.
A team of researchers led by Sridhar Mahadevan is applying deep learning methods to analyze large amounts of scientific data from Mars. They hope to develop a practical tool for handling vast amounts of data created by various scientific instruments, including the NASA Curiosity rover.
The RDA Data Share program has selected 14 fellows for its 2016 cohort, with a focus on strengthening careers in data science and data sharing. Fellows will work on their own projects and collaborate with RDA working groups over 12-18 month terms.
A new study found that badges acknowledging open practices significantly increase reported data and materials sharing, making research findings more accessible and reliable. The initiative, which awards badges to publications meeting specific sharing criteria, has been shown to improve the quality and availability of research data and ...
The Open Science Prize has announced six team finalists to develop prototypes addressing big data access and usage challenges. The teams will receive $80,000 each and compete for the grand prize of $230,000.
Ring-tailed lemurs combine wrist and chest secretions to create more complex scents, increasing the amount of information conveyed by a single dab. This mixture may also lock in fleeting aromas and boost their staying power.
A data sharing pilot project will report and reflect on data policy challenges in development research. The project, which involves 8 case studies, aims to develop a model open research data policy and implementation guidelines for funders.
A global data management advisory platform, Roadmap, combines the functionality of DMPTool and DMPonline to support open science initiatives. The platform aims to provide a framework for engaging with disciplinary communities, enhancing data sharing, reuse, and discoverability.
A new global catalog, Paperity Central, aims to aggregate scholarly journals and make all publications openly accessible. The catalog will also incorporate features like manual curation, semantic linking, and deduplication to ensure accuracy and context.
The proposed platform, amanuens.is, integrates ContentMine and Hypothes.is prototypes to mine critical facts from scientific documents and make them publicly available. By combining machines and humans, it aims to reduce costs, increase transparency, and facilitate collaboration in biomedical research.
The American Statistical Association has released six principles for improving the use and interpretation of p-values. The statement addresses misconceptions and misuse of p-values, emphasizing the importance of proper study design, data analysis, and reporting.
A new software called EaSeq enables biomedical researchers to study and test hypotheses using their own data in a matter of hours. This analytical tool improves the analysis of ChIP sequencing data, which holds potential for clinical applications.
Digital displays showing price promotions increase sales and time spent shopping in hypermarkets. In contrast, displays with unrelated content have no effect, while small convenience-type stores see decreased sales. Larger, browsing-oriented stores reap the most benefits from digital displays.
Researchers found that unexpected sports wins and sunny days increased daily lottery purchases in New York City neighborhoods. The effect was seen across both wealthy and poorer areas, with a total increase of $160,000 in spending on lottery gambling on days with multiple sports team wins.
The PhD project plan aims to publish outputs from the whole research cycle using an open science approach. It focuses on digitizing scholarly papers and data, making them more accessible and citable, and ensuring reproducibility.
CyVerse rebranded from iPlant Collaborative to emphasize its expanded mission across all life sciences. The platform provides data management and computation services for various scientific disciplines.
A recent survey of life science researchers found that data sharing has increased, with more exchanges of information and materials through third-party platforms. However, person-to-person collaborations have decreased, and secrecy remains a concern due to competing incentives for publication and career advancement.
Manylabs, a non-profit organization, has opened an open science workspace in San Francisco, offering a collaborative environment for scientists, educators, and innovators. The facility provides lab benches, tools, and prototyping materials, as well as a sunny open office and rooftop sensor test range.
More than half of public datasets provided with scientific papers are found to be incomplete, hindering reproducibility tests and follow-up studies. Simple errors made by researchers can compromise the process of making research data publicly available.
Researchers have developed a new computational tool to predict nanometer-level molecular interactions, enabling the design of stable and functional nano-scale materials. The 'Gecko Hamaker' project provides transparent calculations and data, allowing users to verify reproducibility and improve the software's quality.
A recent massive study, conducted by over 270 researchers on five continents, reported that independent researchers could replicate less than half of the original findings. This challenges the validity of some scientific findings and highlights the difficulty in achieving reproducible results.
Researchers successfully replicated 95 of the original experiments but could only reproduce results in under half of the cases. The study's findings suggest that initial evidence strength is a key predictor of replication success, and that surprising effects are generally harder to replicate.
A special issue of Journal of Empirical Research on Human Research Ethics presents guidelines, protocols, models, and resources for improving data sharing in low- and middle-income settings. Researchers found varying concerns and challenges across five countries, but most agreed that data sharing is crucial for scientific progress.
A new workshop report from the American Institute of Biological Sciences (AIBS) identifies key barriers to complex data integration and offers recommendations for the research community. The report highlights impediments, technical problems, and crosscutting issues related to integrating data.
A new article by Roger D. Peng proposes a two-pronged approach to improve scientific data analysis, combining massive-scale education efforts with the identification of evidence-based data-analytic strategies to increase replicability and reproducibility.
Researchers question the validity of US dietary guidelines citing memory-based dietary assessment methods and their inability to accurately capture food consumption. Experts counter that multiple data sources can mitigate these issues, providing a more accurate representation of dietary habits.
A Michigan State University scholar argues that school districts are complicit in the oppression of students of color by ignoring the issue of biased student discipline. Researchers faced roadblocks and resistance from district administrators who viewed their efforts as a threat.
A new guide provides a systematic approach to evaluating the safety of e-cig flavorings, considering toxicological thresholds and thermal breakdown products. The guide aims to fill data gaps and provide guidance for regulatory standards, ensuring safer e-cigarette production.
Researchers are assembling large collections of spreadsheets from unlikely sources, including Enron, to study user behavior and improve spreadsheet software. Two new datasets, Enron and Fuse, offer millions of spreadsheets for research purposes.
The ROIS collaboration aims to promote data centric science through big data utilization. The partnership with CSC, DSI, and EUDAT will enhance research collaboration and access to funding for data-driven research.
John Anderson's work has contributed to the development of strong-motion earthquake data networks globally, including Mexico, Turkey, Los Angeles, and Eastern U.S. His research on seismic hazard assessment and ground-motion prediction equations has also informed policy for improved seismic safety.
The University of Washington's eScience Institute is centralizing data-scientist roles and giving them prestige and autonomy. The institute has established a postdoctoral fellow program to reward young researchers at the intersection of their domain and data science.
A Stanford study found that many donated hearts are being rejected due to varying acceptance criteria across regions. The rejection rate decreased from 44% in 1995 to 32% in 2010, highlighting a pressing need for standardized guidelines.
UC San Diego researchers use social network analysis to combine Google Flu Trends' 'big data' with CDC data, improving predictions. The study refines Google's predictions by weighting them with a social network derived from CDC reports on laboratory-tested cases of flu.
Large-scale analysis of bibliographic data reveals insights into scientific evaluation methods and publication practices. The studies found cumulative advantage in initial publishing success, detectable patterns in author name disambiguation, and limitations of citation-based measures for quantifying scientific impact.
Research reveals that half of US teen driver fatalities involve vehicles 11+ years old and lacking standard safety features. Parents are advised to prioritize safety over cost when purchasing a car for their teenager.
Research reveals genetic differences between catsharks in the Mediterranean and North East Atlantic, suggesting they may be more vulnerable to over-fishing. The study's findings also highlight sex-specific migration patterns among catshark populations.
Support for plain packs increased significantly after implementation, rising from 28.2% to 49%, with those who wanted to quit being more likely to accept them. Smokers with a higher desire to quit and low heavy smoking index were also more supportive of plain packs.