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The purpose of this power point presentation is to provide information on an alternative to XML called "Linked Data." The purpose of linked data is, according to the powerpoint, not to create "data silos" but to connect all these pieces of data together akin to hyperlinking. By digitizing materials in this manner, data can be more readily connected through the use of various identifiers such as Uniform Resource Identifiers (URI).

In the article Literature Is Not Data: Against Digital Humanities Marche explains how literature will at some point become data and how we will soon be able to read anything, anywhere, at anytime. Marche argues that literature is not data, and that it cannot be meaningfully treated as data. Instead, he believes that literature is the opposite of data and that data precedes written literature. Marche develops this "idea" that literature is terminally incomplete, and that you can not record even most of literature, even English literature. He assumes, that huge swath of the tradition are absent or in ruins.

This short article focuses on how visualizing data can be advantageous for the public and what kind of softwares can be used to create such projects. For instance, software "Tabeleau Public" is a desktop application that can post graphs, maps, and table sinto the web. "Flare" is a software relying on Flash and can create interactive data shared with other users. This article basically reveals the many ways to visualize data other than through the use of Microsoft Excel.

In this article a case study is shared discussing car manufacturing company Volvo and their strategy in organizing their big data in order to improve their company as a whole. By implementing digitized reports in organized topics such as product design and vehicle diagnostics in to their large Teradata system, data can be processed and completed in one minute, rather than the hour it used to take to process a single query. Moreover, the Volvo company now analyzes a number of issues in an integrated and organized way. For instance analysts can predict failure rates of vehicles over time through the monthly stored collected reports of cars that have experienced specific failures. They can also correlate mechanical failures with the specific geographical areas the vehicle is located in. A car in urban Japan will most likely experience different conditions in rural France, and with DRO error codes (diagnostic read out data recorded in each car about performance and mechanical failures) collected through the Teradata system, analysts can figure out how certain mechanical failures connect to different locations. It is with this strategy in organizing digital information that Volvo can create large goals such as creating vehicles no one will be killed or injured in by 2020.

"In Defense of Data" presents two articles, "The Digital Inhumanities?" by Scott Selisker and "Imaginary Targets" by Holger Schott Syme, in response to an article by Stephen Marche, "Literature is Not Data: Against Digital Humanities." Selisker's essay focuses primarily on dismantling the idea that digitization removes the human element from interpretation and enforces a quasi-authoritarian view of literature. Syme's essay addresses both Marche's misunderstanding of the motivations of the movement against Google Book's digitization efforts as well as Marche's inaccurate depiction of modern literary research in the wake of digital humanities.

Marche's article criticizes digital humanists for a perceived failure to adequately address the human and interpretive nature of literature by treating it as data. Two core issues identified by Marche is that literature, unlike statistics, is terminally incomplete - that parts frequently are missing or shifting - and that data mining efforts fail to account for context in literature. Marche argues that current data mining efforts are flawed because "algorithms are inherently fascistic" and that "meaning is mushy." Marche does not oppose digitization efforts and in fact welcomes the translation of texts into digital formats, rather Marche argues that literary meaning cannot be as readily quantified as numbers - that "insight remains handmade."

This site offers information on how to curate data, in regards to the humanities. Data curation is a new problem for the humanities as both data and analytical practices become increasingly digital. This site is directed towards teaching students about the field of data curation and how the multiple resources on this site will offer assistance with data curation challenges.

In China scientist are rewarded with cash for publishing an article in a prestigious general. The more prestigious the journal, the larger the sum. So because of the limited international circulation of Chinese journals, there is a real push to have one's work appear in an international index, such as the science citation index, Engineering index, or the index to scientific & technical proceedings. The author of this article Does the Chinese Model Make Sense, Phil Davis, questions wither or not this model is authentic. He believes that the need for money will eventually exceed the need to produce valid, and original work. Davis is able to justify is argument by mentioning previous works that were written by the chinese that had an extreme amount of plagerism and unoriginal work. From this evidence he was able to persuade readers that the Chinese Model did not make sense nor did it have any valid points. His commentary was a critque of the article The outflow of academic papers from China: Why it happening and can it be stemmed, written by Shao Jufang and Shen Huiyun.

The author of this sort insert critiques Steven Marinos article entitled Literature is Not Data: Against Digital Humanites. In a sarcastic way the author argues against what Marino is saying he believes that Literature can be used is as Data ans suggest that everyone who is apart of the Humanites has encounter the same obstacles with people who love to read books. Reading books online does not take away the credibility of the work and Marino overlooks this issue.

This short statement at the beginning of San Marinos article Literature is not Data: Against Digital Humanities establishes the argument that BIG DATA IS INDEED COMING FOR OUR BOOKS. Marino believes that all Human endeavors have generated its own Monadic mass of data, and through these vast accumulations of ciphers the robots now endlessly scour for significance. He also believes that a smart book with a stupid title offers a fascinatingly general look at the new algorithmic culture. This culture is generated by a step by a step procedure for calculation and of times displayed through technological advancements. Marino ultimately argument is that literature is currently being took over by this "new" culture.

This site explains the components of cloud computing and the scale of the data centers where all of the information is stored. This article also has videos attached to give you a video tour of the Microsoft Datacenter. The scale of these datacenters is ridiculously large. Only a few companies are setting up these centers and allowing people to see them.

Data visualization is the study of the visual representation of data, meaning "information that has been abstracted in some schematic form, including attributes or variables for the units of information". A subtopic of the broader concet with which defining the structure and scope of it will align perspectives for other topics as an example.

Beginning with the explanation of how algorithms have changed technology in many different aspects, this article discusses how Digital Humanities came to be. Also, the "resistance" of literature to data can affect the use of algorithims and why it is seemingly not always accurate. The article also talks about the start of turning literature into data and why the digitization of books is going to be important. The idea of having a completely accessable, professionally reviewed, open access library is any scholars dream. The unlimited access to any written work would change the way people research. Although there are still some changes that need to be done with the algorithims, digital humanities is a huge developmental project.

Video series "At the Intersection" focuses on the use of big data by large companies, such as popular car companies. Land Rovers has accomplished many awards within only one year greatly due to the use of digital humanities. The old tactics of constructing a new car would be through physical examples such as clay models. With the use of virtual processing, designers could compare nine to eleven designs and examine specific problems. They invented a high computing ecosystem in order to generate over ten terabytes a day and store all their data. All these decisions was a huge change for their company and as a result they were able to create more options for better results in their products.

The NDIIP (National Digital Information Infrastructure and Preservation) twitter account tweeted a link to a video featuring Kari Kraus giving a speech titled "Phylogenetic Futures: Big Data and Design Fiction" at Big Data & Uncertainty in the Humanities hosted at the University of Kansas. Kraus spoke about the application of digital humanities to phylogenetics, or the study of evolutionary relatedness between various groups of organisms. She presents phylogenetics as a part of the big data segment of digital humanities. Her speech details the applications of phylogenetics in digital humanities through examining cultural materials.

The goal of the collaboration between the Sloan Foundation and Inter-university Consortium for Political and Social Research (ICPSR) at U-M's Institute for Social Research is the lessen the gap between the published peer-reviewed articles and the data they cite. They are attempting to make the research data for social sciences to become more transparent and open for researchers. The main goal of this project is to create, implement, and standardize citation that gives the producers proper credit.

This Article discusses the interests that Google and Yahoo have in Wikipedia. The story that Cohen claimsis being missed is the generosity exhibited towards Wikipedia by these two corporations with little or no apparent compensation. He then explains the benefits that Wkipedia can offer to the field of data mining.

Digital humanities has gained popularity this year especially despite recent cuts to the program at certain universities. This distilling of information relies heavily on technology. At a recent NEH symposium, professors discussed projects they were having their students do. These involved heavy research on a subject and performances demonstrating the accumulated knowledge. Students learn through "living out" the roles others played in history. Some try to create visual representations of data. These projects can lead to cross referencing data and an overall deepening of research and information study. The humanities strives to make information widely available and open the scholarly world to a wide range of people.

This article discusses digital humanities through the works of Todd Carter and his Tagasauris data-curation platform. This program allows people to tag their pictures and other forms of media by the use of crowdsourcing and digital intelligence. He divides Tagasauris into three categories: Findability, Linkability, and Discoverability. With his creation, people such as Valerie Matteau have been able to digitize an art collection, which reveals eighty years of american history such as Correta Scott King's funeral.