"Extracts from a lecture by Graham R Gibbs to postgraduate (graduate) students about thematic coding in qualitative data analysis. It includes a look at Alan Bryman's four stages of coding, the idea of thematic coding and what themes can be about, what coding can be used for and how to construct and use a coding hierarchy."
"If you want to get an edge by better understanding the explosion of unstructured data in the world today, you need NVivo - powerful software for qualitative data analysis. Whether you are working individually or in a team, on Windows or Mac, are new to research or have years of experience, there's an NVivo option to suit you."
Call for Participation – Digital Methods Summer School 2014, On Geolocation: Remote Event Analysis (Mapping Conflicts, Disasters, Elections and other Events with Online and Social Media Data), 23 June – 4 July 2014
"The Digital Methods Initiative is a contribution to doing research into the 'natively digital'. Consider, for example, the hyperlink, the thread and the tag. Each may 'remediate' older media forms (reference, telephone chain, book index), and genealogical histories remain useful (Bolter/Grusin, 1999; Elsaesser, 2005; Kittler, 1995). At the same time new media environments – and the software–makers – have implemented these concepts, algorithmically, in ways that may resist familiar thinking as well as methods (Manovich, 2005; Fuller, 2007). In other words, the effort is not simply to import well–known methods – be they from humanities, social science or computing. Rather, the focus is on how methods may change, however slightly or wholesale, owing to the technical specificities of new media.
The initiative is twofold. First, we wish to interrogate what scholars have called 'virtual methods,' ascertaining the extent to which the new methods can stake claim to taking into account the differences that new media make (Hine, 2005). Second, we desire to create a platform to display the tools and methods to perform research that, also, can take advantage of 'web epistemology'. The web may have distinctive ways of recommending information (Rogers, 2004; Sunstein, 2006). Which digital methods innovate with and also critically display the recommender culture that is at the heart of new media information environments?
Amsterdam–based new media scholars have been developing methods, techniques and tools since 1999, starting with the Net Locator and, later, the Issue Crawler, which focuses on hyperlink analysis (Govcom.org, 1999, 2001). Since then a set of allied tools and independent modules have been made to extend the research into the blogosphere, online newssphere, discussion lists and forums, folksonomies as well as search engine behavior. These tools include scripts to scrape web, blog, news, image and social bookmarking search engines, as well as simple analytical machines that output data sets as well as graphical visualizations.
The analyses may lead to device critiques – exercises in deconstructing the political and epistemological consequences of algorithms. They may lead to critical inquiries into debates about the value and reputation of information."
"We believe that each individual has a unique relationship with music–no one else has tastes exactly like yours. So delivering a great radio experience to each and every listener requires an incredibly broad and deep understanding of music. That's why Pandora is based on the Music Genome Project, the most sophisticated taxonomy of musical information ever collected. It represents over ten years of analysis by our trained team of musicologists, and spans everything from this past Tuesday's new releases all the way back to the Renaissance and Classical music.
Each song in the Music Genome Project is analyzed using up to 450 distinct musical characteristics by a trained music analyst. These attributes capture not only the musical identity of a song, but also the many significant qualities that are relevant to understanding the musical preferences of listeners. The typical music analyst working on the Music Genome Project has a four–year degree in music theory, composition or performance, has passed through a selective screening process and has completed intensive training in the Music Genome's rigorous and precise methodology. To qualify for the work, analysts must have a firm grounding in music theory, including familiarity with a wide range of styles and sounds.
The Music Genome Project's database is built using a methodology that includes the use of precisely defined terminology, a consistent frame of reference, redundant analysis, and ongoing quality control to ensure that data integrity remains reliably high. Pandora does not use machine–listening or other forms of automated data extraction.
The Music Genome Project is updated on a continual basis with the latest releases, emerging artists, and an ever–deepening collection of catalogue titles.
By utilizing the wealth of musicological information stored in the Music Genome Project, Pandora recognizes and responds to each individual's tastes. The result is a much more personalized radio experience – stations that play music you'll love – and nothing else."
"This website is dedicated to providing anyone interested in getting started with data driven journalism with a collection of learning resources, including relevant events, tools, tutorials, interviews and case studies. The data journalism community and mailing list are dedicated to strengthening the community of journalists, designers, data providers and others, and encouraging collaboration and exchange of expertise."
(European Journalism Centre)