Best AI tools for< Share Research Data >

Marvin is an AI research software that serves as the perfect AI research assistant for qualitative research. It automates tedious parts of qualitative research, allowing users to analyze hours of research in minutes. Marvin helps in centralizing, searching, and sharing user research data, making it easily accessible for the whole team. With AI-powered enhancements, Marvin assists in consolidating user insights, finding patterns, and backing decisions with evidence. The tool streamlines the research journey by managing user interview panels, recruiting participants effectively, and providing features like automatic transcripts, video clips, and privacy filters for compliance. Marvin offers different pricing plans suitable for small teams, startups, companies with multiple teams, and large organizations.

arXiv.org is a free distribution service and an open-access archive for nearly 2.4 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv.

Semantic Scholar is a free, AI-powered research tool for scientific literature. It is based at the Allen Institute for AI and provides access to over 217 million papers from all fields of science. Semantic Scholar uses AI to help users discover and explore scientific literature, and to stay up-to-date on the latest research. The tool also includes a number of features to help users manage their research, such as the ability to save papers, create bibliographies, and share research with others.

Trill is an AI-powered research assistant designed to streamline the user research process. It helps users move from interviews to insights quickly by providing relevant insights and observations based on project objectives. With features like instant themes and categories, organizing findings, and a user-friendly editor, Trill aims to simplify and accelerate the research analysis process. Currently in beta, Trill offers a free trial for users to experience its capabilities and provide feedback for further improvements.

AcademicID is an AI-powered platform that helps students and researchers discover and access academic resources. It provides a comprehensive database of academic papers, journals, and other resources, as well as tools to help users organize and manage their research. AcademicID also offers a variety of features to help users collaborate with others and share their research findings.

CogPrints is an electronic archive for self-archived papers in any area of Psychology, Neuroscience, and Linguistics, and many areas of Computer Science (e.g., artificial intelligence, robotics, vision, learning, speech, neural networks), Philosophy (e.g., mind, language, knowledge, science, logic), Biology (e.g., ethology, behavioral ecology, sociobiology, behavior genetics, evolutionary theory), Medicine (e.g., Psychiatry, Neurology, human genetics, Imaging), Anthropology (e.g., primatology, cognitive ethnology, archeology, paleontology), as well as any other portions of the physical, social and mathematical sciences that are pertinent to the study of cognition.

The Farama Foundation is a platform dedicated to maintaining and supporting the world's open-source reinforcement learning tools. With a large community of contributors and a vast number of installations, the foundation plays a crucial role in advancing the field of AI. They offer a range of tools and resources for developers and researchers interested in reinforcement learning.

ScienceCast is an AI-powered platform that aims to make scientific research more accessible and impactful by transforming complex preprints into brief audio summaries and customizable presentation-ready slides. Leveraging advanced AI technology, ScienceCast empowers researchers to communicate their work effectively and enables anyone interested in science to understand it. The platform bridges the gap between researchers and audiences, creating a world where knowledge is easier to share, understand, and create with.

PhysioNet is a research resource for complex physiologic signals that facilitates finding, sharing, and reusing health data. It provides access to various datasets and software tools for researchers in the medical field. PhysioNet aims to support the responsible use of data, including guidelines for creating datasets and models from sources like MIMIC. The platform also addresses access restrictions under the DOJ Data Security Program, ensuring compliance with legal obligations while supporting researchers in understanding and navigating policy changes.

Connected Papers is a search engine for academic papers that uses artificial intelligence to help users find and explore relevant research. It allows users to search for papers by keyword, author, or title, and then explore the connections between them. Connected Papers also provides a variety of tools to help users organize and manage their research, including the ability to create custom collections of papers, add notes and annotations, and share their research with others.

The National Cancer Institute's Center for Biomedical Informatics and Information Technology (CBIIT) provides a comprehensive suite of tools, resources, and training to support cancer data science research. These resources include data repositories, analytical tools, data standards, and training materials. CBIIT also develops and maintains the NCI Thesaurus, a comprehensive vocabulary of cancer-related terms, and the Cancer Data Standards Registry and Repository (caDSR), a repository of cancer data standards. CBIIT's mission is to accelerate the pace of cancer research by providing researchers with the tools and resources they need to access, analyze, and share cancer data.

Meyka is an AI-powered stock research tool that provides users with real-time stock data and analysis. Users can explore financial health, social sentiment analysis, earnings reports, comparison of financial statements, stock market news, DCF value, stock price forecasting, and recent grades for various stocks. The tool aims to assist users in making informed investment decisions by leveraging AI technology to analyze and predict stock market trends.

Google Research is a leading research organization focusing on advancing science and artificial intelligence. They conduct research in various domains such as AI/ML foundations, responsible human-centric technology, science & societal impact, computing paradigms, and algorithms & optimization. Google Research aims to create an environment for diverse research across different time scales and levels of risk, driving advancements in computer science through fundamental and applied research. They publish hundreds of research papers annually, collaborate with the academic community, and work on projects that impact technology used by billions of people worldwide.

Google Research is a team of scientists and engineers working on a wide range of topics in computer science, including artificial intelligence, machine learning, and quantum computing. Our mission is to advance the state of the art in these fields and to develop new technologies that can benefit society. We publish hundreds of research papers each year and collaborate with researchers from around the world. Our work has led to the development of many new products and services, including Google Search, Google Translate, and Google Maps.

Particl is an AI-powered platform that automates competitor intelligence for modern retail businesses. It provides real-time sales, pricing, and sentiment data across various e-commerce channels. Particl's AI technology tracks sales, inventory, pricing, assortment, and sentiment to help users quickly identify profitable opportunities in the market. The platform offers features such as benchmarking performance, automated e-commerce intelligence, competitor research, product research, assortment analysis, and promotions monitoring. With easy-to-use tools and robust AI capabilities, Particl aims to elevate team workflows and capabilities in strategic planning, product launches, and market analysis.

The Google Research Blog is a platform for researchers at Google to share their latest work in artificial intelligence, machine learning, and other related fields. The blog covers a wide range of topics, from theoretical research to practical applications. The goal of the blog is to provide a forum for researchers to share their ideas and findings, and to foster collaboration between researchers at Google and around the world.

StrawPoll.ai is an AI-powered platform that offers tools for creating polls, generating charts, and utilizing machine learning to analyze data. Users can easily create polls tailored to their needs, share them to collect responses, and analyze the data using built-in chart and machine learning tools. The platform also provides a chart maker tool for visualizing existing data and a machine learning tool for building predictive models by identifying patterns in the data. Additionally, users can access guides for assistance and contact support for any queries.

User Evaluation is an AI-first user research platform that leverages AI technology to provide instant insights, comprehensive reports, and on-demand answers to enhance customer research. The platform offers features such as AI-driven data analysis, multilingual transcription, live timestamped notes, AI reports & presentations, and multimodal AI chat. User Evaluation empowers users to analyze qualitative and quantitative data, synthesize AI-generated recommendations, and ensure data security through encryption protocols. It is designed for design agencies, product managers, founders, and leaders seeking to accelerate innovation and shape exceptional product experiences.

Beatandraise is an AI-powered Equity Research tool that leverages artificial intelligence and ChatGPT technology to provide users with in-depth analysis of SEC Edgar filings. The platform allows users to access every single SEC filing since 1995, easily discover related documents, and extract structured data to Excel. With AI search functionality integrated into the app, users can quickly find the information they need. Additionally, Beatandraise offers collaborative note-taking features to enhance research efficiency and facilitate seamless sharing of insights.

Streamlit is a web application framework that allows users to create interactive web applications effortlessly using Python. It enables data scientists and developers to build and deploy data-driven applications quickly and easily. With Streamlit, users can create interactive visualizations, dashboards, and machine learning models without the need for extensive web development knowledge. The platform provides a simple and intuitive way to turn data scripts into shareable web apps, making it ideal for prototyping, showcasing projects, and sharing insights with others.

AiiDA (www.aiida.net) is a workflow manager for computational science with a strong focus on provenance, performance and extensibility. **Features** * **Workflows:** Write complex, auto-documenting workflows in python, linked to arbitrary executables on local and remote computers. The event-based workflow engine supports tens of thousands of processes per hour with full checkpointing. * **Data provenance:** Automatically track inputs, outputs & metadata of all calculations in a provenance graph for full reproducibility. Perform fast queries on graphs containing millions of nodes. * **HPC interface:** Move your calculations to a different computer by changing one line of code. AiiDA is compatible with schedulers like SLURM, PBS Pro, torque, SGE or LSF out of the box. * **Plugin interface:** Extend AiiDA with plugins for new simulation codes (input generation & parsing), data types, schedulers, transport modes and more. * **Open Science:** Export subsets of your provenance graph and share them with peers or make them available online for everyone on the Materials Cloud. * **Open source:** AiiDA is released under the MIT open source license

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