The culture of “user friendly” interfaces that helped popularize computers for almost three decades now, and which underlines the dominant role of .docx, .pdf and .epub files today,

“what do we need?”

In this sense, we aim to understand ways of building that could be referred to as “architectures of necessity”

Oursources alone in the future will be almost entirely digital—instant messages, e-mails, doc files, pdfs, digital video, podcasts, and databases. Their scale and com-plexity will demand that historians use tools and techniques not yet a part of ourpractice to create their own digital sources and employ those created by others.

Thissecond stage will require interdisciplinary collaboration, the likes of which mosthistorians have yet to embrace; cooperative initiatives that involve historians,programmers, information architects, designers, and publishers.

On one level, digitalhistory is an open arena of scholarly production and communication, encompass-ing the development of new course materials and scholarly data collection ef-forts.

The “vital voices” of those “living with HIV/AIDS” — whether they have the virus themselves or are caregivers to those who do — are centered in the navigation of the site.

This is one face of DH Activism. It is not a workshoppable, immediately-produced, immediately-reproducible, lightning-fast-results form of activism, but it is nevertheless one attempt at redressing a social inequality and generating positive social change.

It also allows for the stories of and from members of this community to be relatively accessible to those of us outside said community, both within and without Jamaican borders

he characteristics of future digital history works might be computational/algorithmic, large-scale, and visual.

Their scale and complexity will demand that historians use tools and techniques not yet a part of our practice to create their own digital sources and employ those created by others.

For history, the future digital environment might challenge some of our traditional methods, perhaps even the craft-oriented practices of our discipline.

The traditional cycle of document transfer as conceptualized before the advent of digital documents (King and Bryant 1971) required publishers and libraries to take documents through most steps of the process.

Hypertext has been a monumental advancement in the functionality of collections, and many current projects are working toward extensive interlinking among aggregated materials.

ollections of all kinds can be open-ended, in that they have the potential to grow and change depending on commitment of resources from collectors. Most thematic collections are not static. Scholars add to and improve the content, and work on any given collection could continue over generations.

students were asked to gather a number of posts from popular media sites on the topic of their social movement. Students were then asked to enter these sources en masse to Voyant Tools so that they could search for trends in the data that were not evident during a preliminary reading.

Students gravitated towards social media, believing that their contributions to public knowledge could help alleviate the widespread dissemination of misinformation

Digital humanities similarly values the processes of making and breaking.

Newspapers have proved to be a popular subject for topic modeling, as it provides a way to get at change over time from a daily source.

One way to understand what the program is telling you is through a visualization, but be sure that you know how to understand what the visualization is telling you. Topic modeling tools are fallible, and if the algorithm isn’t right, they can return some bizarre results.

If you wanted to topic model one fairly short document, you might be better off with a set of highlighters or a good pdf annotation tool. Topic modeling is built for large collections of texts.

This may include a general description of all materials, a description of series or groups, and a description of files or items.

It is important have a DTD that is appropriate for the project. The DTD defines the structural rules of a type of document. These rules include a complete list of allowable elements and attributes, special character entities, rules for external files (such as images), as well as the hierarchical structure of all elements.

XML is not limited to a specific set of tags, because a single tag set would not adapt to all documents or applications that may use XML.

Fifth, we have a desperate need for help with data-modeling — and here is another place where I think libraries could really play a big role.

It’s a tremendously important resource, and without it museums couldn’t share and network information; we’d never be able to figure out who holds what

With a source, like a film or a work of literature, you’re not extracting features in order to analyze them; you’re trying to dive into it, like a pool, and understand it from within.

Finally, the idea of “variety” of big data means that heterogeneous sources and formats of data are being used together, taking advantage of the links and overlap between such heterogeneous datasets to allow all kinds of inferences.

Areas as diverse as online marketing, stock exchange trading, health care, and political campaigns are driven by big data.

database

Administrative

Dublin Core Example

Metadatais often called data about data

nline programs should encourage openness and sharing, while working to educate students about the various ways they can protect and license their data and creative work

We believe that online learning represents a powerful and potentially awe-inspiring opportunity to make new forms of learning available to all students worldwide, whether young or old, learning for credit, self-improvement, employment, or just pleasure.

Books are and will be supported with digital sources and verifiable links to the elements that went into the study.

we can and should celebrate and inquire into the difference.

He tells us that that with which we conclude is only a shadow of the desired object

Image searches for “gorilla” turn up photos of African-American people. Looking for “black teenagers” returns police mug shots. Searching “professional hairstyles” returns images of white women wearing ponytails and French braids while “unprofessional hairstyles” features black women.

Coders need critical race theorists, suggests Noble, or at least workers who understand that frictionless digital infrastructures aren’t frictionless for everyone. Diversifying the technological workforce is an important first step toward building an internet that accounts for power and privilege at the level of code itself.

Black girls matter only for the role they play in the racist and misogynist fantasies of Google’s majority client: the white American man. Not so coincidentally, suggests Noble, this is the demographic most likely hired by Google to build their algorithm in the first place.

Everyone should have the right to learn: traditional students, non-traditional students, adults, children, and teachers, independent of age, gender, race, social status, sexual orientation, economic status, national origin, bodily ability, and environment anywhere and everywhere in the world