One place to find a large dataset open to the public is the Open Science Framework (OSF). OSF is a free and open-source web platform that provides researchers with a place to store, share, and organize their research data and materials. OSF has a dedicated section called the OSF Registry, which is a searchable database of research data repositories and other research-related services. The OSF Registry currently has over 4,000 entries, making it one of the largest collections of research data repositories and services.
The Open Data Network is one place I have always found quite helpful when it comes to finding large data sets. The platform has a wide range of data sets, and they are all free and open to the public. But that is not all. If you cannot find the specific data sets you are looking for, you can put in a request, and if you are lucky, someone may as well help you out. The Open Data Network also lets you post questions and seek out relevant expert comments on any topic. Besides, it comes with a very basic interface which makes it a very easy-to-use database
Amazon Web Services (AWS) offers a range of large datasets that are free to use and available to anyone to access. You will find datasets covering a wide range of fields including astronomy, economics, and a variety of medical data. Amazon encourage users to register their own data to the service for others to use for research purposes. The aim of the service is to encourage research and to save time by offering previously sourced analytics, leaving you to get straight into the research stage. By using the service AWS hopes to offer researchers the tools to encourage and enable innovation across a range of fields. In addition to the data provided, AWS provide tutorials, applications, and information on journals that are using the data. As more data is added by users, the database is continually expanding and becomes ever more useful to those who need it.
Google Dataset Search is a tool that simplifies the process of finding and accessing datasets. It is a search engine where users can discover datasets from different domains, including public and academic sources. The datasets can cover various topics, such as demographics, economics, health, climate, and many others. It is updated periodically, expanding the access to the broader research community in the computer science field.
I've found that datahub.io is an invaluable resource when it comes to sourcing large, open public datasets. This platform curates an extensive range of datasets from diverse domains, making it a treasure trove of information for businesses and researchers alike. The ease of access and usability of the site are exceptional; you can find, share and publish data with just a few clicks. Moreover, the datasets are open, which means they're freely available to the public, ensuring a level of transparency that's integral to our modern, data-driven world. It's truly been a game-changer in my professional journey, assisting in various projects that required comprehensive data analysis.
Twitter, Facebook, and LinkedIn, for example, I believe can be a great source of publicly available data. These platforms give customers access to their data via APIs (application programming interfaces), which may be used to extract enormous volumes of data on topics like user behavior, demographics, and trends. Twitter's API, for example, can be used to access vast volumes of tweet data, such as text, photos, and geographical information. Natural language processing, sentiment analysis, and social network analysis can all benefit from this data.
Talking about my sector, one large dataset in the healthcare sector is the Medicare Claims Public Use Files (PUF). These files contain information on healthcare services and procedures provided to Medicare beneficiaries in the United States. The Medicare Claims PUF includes data on a wide range of healthcare services, including hospital stays, physician visits, and prescription drugs. It can be used by data companies to analyze healthcare trends and identify patterns in healthcare utilization among Medicare beneficiaries. The dataset is publicly available and can be accessed through the Centers for Medicare & Medicaid Services (CMS) website. Access to the dataset is free, but users must agree to certain terms and conditions, including restrictions on using the data for commercial purposes.
In my experience working with data, I've found that one invaluable source for obtaining large, publicly accessible datasets is the UCI Machine Learning Repository. Not only does this fantastic resource offer an extensive array of datasets across numerous fields, but it has also proven to be an indispensable tool for several of our projects. For instance, when we wanted to enhance our course recommendations for students, we discovered a large and extremely relevant dataset related to online education, which proved to be instrumental in refining our analysis. I believe, anyone in need of a publicly available large-dataset must explore the UCI Machine Learning Repository.
There are all kinds of large datasets available for free to the public today. Everyone from government agencies to non-profit organizations to individual researchers provide good datasets. However, my favorite data source by far is Harvard Dataverse. They provide a repository of datasets, where researchers from all fields can share, collaborate and find data. Whatever topic you’re needing data for, there is a very good chance you can find a dataset for it in the Harvard Dataverse portal. Though not my field, I know this database is excellent for life science and medical datasets – that is one of the most commonly shared types of data I see on there. But they also have data regarding education, which most concerns me and helps with our research and tool development.
One place to find a large dataset open to the public is Data.gov. It provides access to datasets published by agencies across the federal government. Additionally, the World Bank Open Data platform is also a great resource for finding massive datasets to use for data projects. Other sources for finding free and open datasets include Kaggle, Google datasets search, and GitHub. However, it's important to keep in mind that the quality and usefulness of the data may vary and it's important to conduct due diligence when selecting datasets to ensure they are appropriate for your needs.
One place to find a large dataset open to the public is the Kaggle platform. Kaggle is a community-driven platform for data science and machine learning competitions, where companies and researchers can post their datasets for the public to use. The platform hosts a wide variety of datasets from various fields, such as finance, healthcare, education, and sports. Users can search for datasets using keywords, and they can filter the results by popularity, topic, and format. Kaggle datasets can be downloaded in various formats, including CSV, JSON, and SQL. Additionally, Kaggle provides tools for users to analyze, visualize, and share their findings with the community. Kaggle is an excellent resource for anyone looking for real-world data to practice their data science and machine learning skills.
NASA provides large public datasets to inform people about progress and trends within the realm of space exploration. This is because tax payers help to fund this government agency. Furthermore, it is worthwhile to publicize this information in case it inspires partnerships with other important organizations.
Google Dataset Search is a great resource for finding datasets online. The platform works like a search engine, and by searching keywords relevant to the dataset you're interested in looking for, you can find tons of free resources from reputable organizations like academic research institutions, government agencies, and non-profits. After searching, the results include descriptive information like the creator, publisher, publishing data, and other metadata. If you need a large dataset for research, Google Dataset Search makes it simple and easy to find.
Data.gov is a terrific resource providing access to a wide range of datasets from various government agencies in the US. It is valuable to researchers, data analysts, or anyone interested in exploring and analyzing climate, energy, education, or public safety data. Data.gov offers various formats and allows users to search for datasets by keyword, topic, or agency. The website also provides tools and resources for data analysis, visualization, and mapping. The datasets are free to use and can be downloaded without restrictions, making Data.gov an excellent resource for researchers and data analysts who may not have access to expensive datasets or proprietary data sources. However, there are some challenges to the platform. One is that the datasets can be large and may require significant computing resources to process and analyze. The quality and completeness of the datasets also vary depending on the agency that provided them.
One excellent place to find a large dataset open to the public is the European Union Open Data Portal (https://data.europa.eu/euodp/en/home). This portal provides access to thousands of datasets from European Union institutions, agencies, and other organizations, covering a wide range of topics such as economics, environment, science, and technology. By utilizing this resource, you can obtain valuable data for research, analysis, or visualization projects related to various domains within the European context.<>
If you are looking for UK-based data, look no further than the Office for National Statistics, the UK's largest independent producer of official statistics. From the economy, through business statistics and info on population and society, it is packed full of downloadable data sets that are fully verified. They also provide quarterly and annual trend analysis - for example, information on the UK's National Accounts, employment trends, inflation data, technology indices or the consumer price index. The census which runs every 10 years is also published from here.
The Federal Reserve Economic Data (FRED) database is maintained by the Federal Reserve Bank of St. Louis and as of May 03rd, 2023 contains 819,000 US and international time series from 110 sources. FRED is a large dataset that is open to the public which contains economic, financial, and time series data pertaining to indicators such as GDP, inflation, unemployment, interest rates, and more. The FRED website can be found at: https://fred.stlouisfed.org/
The World Bank's Open Data Initiative provides an extensive and diverse collection of datasets that are free and available to the public. It spans a range of topics, from agriculture and education to energy and transport, and includes key indicators such as poverty rates, GDP growth, and life expectancy. The dataset can be accessed and downloaded directly from their website, and they also have an API for developers who want to access their data programmatically. They update their data regularly and there are numerous resources available to help novice and expert users alike, including tutorials, webinars, and sample code. With over 50 years of data and coverage spanning across the entire globe, the World Bank offers a wealth of information for anyone looking to work with or gain insights from large datasets.
I would suggest checking out Google Dataset Search for a large dataset open to the public. This tool allows you to search for datasets across the web, making it easier to find the data you need for your projects. With Google Dataset Search, you can filter your search by type of data, author, source, and more to find the dataset that best fits your needs. Additionally, the datasets you find on this platform are typically reliable and trustworthy, as they are often created by reputable sources such as universities, government agencies, and research organizations. Therefore, using Google Dataset Search can save you time and effort in finding the right data for your business needs.
The U.S. Census Bureau provides public data pertaining to population numbers, economic statistics and demographic characteristics of each state in the country. Furthermore, there are many subtopics as well, such as business trends and how many businesses work remotely, with graphs and visualizations to illustrate this data. This allows people to gain a better understanding of certain parts of the country and the country as a whole.