originally posted at blaugh.com (sharing policy)
Before you look at a web page, remember that on the Internet nobody knows you're a dog. Anyone can write anything on the Internet and it doesn't have to be true. There are a couple of tools for assessing the quality of websites, one of which is the CRAAP test: a list of criteria that you can use to assess the credibility of a source. If you're doing research on the Internet, consider the following:
Currency: when was the information posted, has it been revised or updated, does it reflect current knowledge, do the links work?
Relevance: who is the page aimed at, is the information at an appropriate level, how does it compare to other sources on the same topic, would you be happy to use this a source if you were writing an assignment/dissertation?
Authority: who wrote the page, do they have any qualifications & and are they relevant to the topic, is there contact information, what is the top level domain e.g .com (companies) .gov (government), .org (non-profit organisation), .edu/.ac (educational )?
Accuracy, what the source of the information, is it evidence-based, what kind of language is used, what is the tone of the page, is it free from grammatical or spelling errors, can you verify any of the information independently?
Purpose: why does the page exist, is the author trying to inform, persuade, entertain or sell you something, are the intentions clear, is it objective, Are there political, cultural or other biases?
Some good Data Science related websites. If you're a DBS Staff member/Student who find's a broken links, or want to suggest sites for inclusion, please contact the library. Unsolicited suggestions from non-staff/students will ignored. Last updated 04/09/2018
News on Big Data topics from Silicon RepublicWomen in Big Data
Aiming to strengthen diversity in the big data field by encouraging and attracting more women into the areaReddit: Big Data
Everything big data, from storage to predictive analyticsDatafloq
Datafloq offers information, insights and opportunities to drive innovation with big data, blockchain and artificial intelligence
Online videos relating to Big Data that are available through the Library#s subscription to Kanopy.Six Provocations for Big Data
Thought provoking conference papers which poses some interesting questionsCambridge Big Data
Brings together researchers from across the University to address challenges presented by our access to unprecedented volumes of data. In parallel,researching important issues around law, ethics and economicsData Science Central
The industry's online resource for big data practitionersDataversity
An online trade journal that provides centralised education & resources in data managementAssociation for the Advancement of Artificial Intelligence (AAAI)
A nonprofits scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behaviour and their embodiment in machinesAn introduction to Apache Hadoop for big data
Hadoop is an open source software framework for storage and large scale processing of data-setsPlanet Data
An aggregator of blogs about big data, Hadoop, and related topicsPublicly Available Big Data Sets
A list of publicly available big data sets including pointers as to where to find more
The homepage for R. R is a free software environment for statistical computing and graphicsR Cheatsheets
Cheats to learn about and make using R simpler12 Websites Every Data Analyst Should Follow
A list of "must-follow forums, data analytics blogs, and resource centers"Centre for Applied Data Analytics (CeADAR)
industry prototypes and demonstrators along with state of the art reviews of data analytics technology, tools, best practice methodologies and processes.International Institute for Analytics
An independent research firm that works with organizations to build strong and competitive analytics programs.The 9 Best Languages For Crunching Data
Data analysts talk about their favorite languages and tool kits for hardcore data analysis.25+ websites to find datasets for data science projects
A list of websites & resources to provide datasets for data science projectsAllAnalytics
A community for Data Management, Business Intelligence, and Analytics,FiveThirtyEight
Website that focuses on data analysis in politics, economics, and sports
SIGKDD aims to provide the premier forum for advancement and adoption of the "science" of knowledge discovery and data miningContent Mine
Text/data mining tool50 selected papers in Data Mining and Machine Learning
50 full-text articles on data mining and machine learningData Mining
Paper exploring many aspects of data mining including privacy33 Good Data Mining tools
A list of some decent data mining toolsThe National Centre for Text Mining (NaCTeM)
The first publicly-funded text mining centre in the world