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A Companion to Digital Humanities

A Companion to Digital Humanities

Digital Humanities & Libraries: More of THAT! In this report on the Digital Humanities & Libraries THATCamp, held in conjunction with the 2012 Digital Library Federation Forum meeting in Denver, Michelle Dalmau, Acting Head of Digital Collections Services at the Indiana University Libraries, draws out and discusses six broad themes that emerged from the sessions. As an organizer and attendee, Dalmau also invites fellow campers to respond with their own versions of camp stories. Largely inspired by a lively thread on the ACRL Digital Humanities and Discussion Group (ACRL DH DG) concerning how libraries and library professionals can support digital humanities (DH) scholarship, the DH & Libraries and THATCamp came to be. On November 2, 2012, in conjunction with the Digital Library Federation Forum, seventy-two participants convened to explore just that question. Background DH & Libraries THATCamp inspired by series of blog posts, musings and published articles. Quick and dirty breakdown of participants based on their roles. Themes

Data mining Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.[1] Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use.[1][2][3][4] Data mining is the analysis step of the "knowledge discovery in databases" process or KDD.[5] Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.[1] Etymology[edit] In the 1960s, statisticians and economists used terms like data fishing or data dredging to refer to what they considered the bad practice of analyzing data without an a-priori hypothesis.

» Getting Started in Digital Humanities Journal of Digital Humanities Lisa Spiro When I presented at the Great Lakes College Association’s New Directions workshop on digital humanities (DH) in October, I tried to answer the question “Why digital humanities?” But I discovered that an equally important question is “How do you do digital humanities?” Although participants seemed to be excited about the potential of digital humanities, some weren’t sure how to get started and where to go for support and training. Building on the slides I presented at the workshop, I’d like to offer some ideas for how a newcomer might get acquainted with the community and dive into digital humanities work. Determine what goals or questions motivate you As with any project, a research question, intellectual passion, or pedagogical goal should drive your work. Get acquainted with digital humanities Participate in the digital humanities community Attend a THATCamp. Stay informed Explore examples for inspiration and models To find projects, see, for example, Pursue training.

Write Book 2 - Manifeste des digital human... Nous, acteurs ou observateurs des digital humanities (humanités numériques) nous sommes réunis à Paris lors du THATCamp des 18 et 19 mai 2010. Au cours de ces deux journées, nous avons discuté, échangé, réfléchi ensemble à ce que sont les digital humanities et tenté d’imaginer et d’inventer ce qu’elles pourraient devenir. À l’issue de ces deux jours qui ne sont qu’une étape, nous proposons aux communautés de recherche et à tous ceux qui participent à la création, à l’édition, à la valorisation ou à la conservation des savoirs un manifeste des digital humanities. 11. 22. 33. 44. que se sont multipliées les expérimentations dans le domaine du numérique en Sciences humaines et sociales depuis un demi-siècle. 55. 66. 77. 88. 99. 1010. 1111. 1212. 1313. 1414. Rejoignez-nous !

Data visualization Data visualization or data visualisation is viewed by many disciplines as a modern equivalent of visual communication. It is not owned by any one field, but rather finds interpretation across many (e.g. it is viewed as a modern branch of descriptive statistics by some, but also as a grounded theory development tool by others). It involves the creation and 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".[1] A primary goal of data visualization is to communicate information clearly and efficiently to users via the information graphics selected, such as tables and charts. Data visualization is both an art and a science. Overview[edit] Data visualization is one of the steps in analyzing data and presenting it to users. Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects contained in graphics.

Tooling Up for Digital Humanities L’isolement en digital humanities Cet article qui s’appuie sur une enquête réalisée par le National Institute for Technology in Liberal Education (NITLE) au printemps 2010 aux Etats-Unis met en évidence l’inquiétude due à l’isolement des chercheurs tant au niveau des individus que des travaux de recherches et des projets. Il souligne les dangers du développement de centres de digital humanities qui soient des silos et qui entrainent le chevauchement d’activités, de formations, de numérisation de collections et du développement des métadonnées. Il présente des approches pour résoudre ces problèmes. L’enquête réalisée auprès des universitaires, informaticiens et bibliothécaires dans les établissements d’enseignement supérieur a pour origine les discussions d’un workshop du projet Bamboo en 2008-2010 qui cherchaient à mettre en lumière les pratiques en sciences humaines. Elle révèle l’isolement ressenti par les étudiants, les chercheurs et les bibliothécaires. Ecrit par : Elisabeth Caillon le 23 août 2011.

Digital humanities The Digital Humanities are an area of research, teaching, and creation concerned with the intersection of computing and the disciplines of the humanities. Developing from the fields of humanities computing, humanistic computing,[2] and digital humanities praxis (dh praxis[3]) digital humanities embrace a variety of topics, from curating online collections to data mining large cultural data sets. Digital humanities (often abbreviated DH) currently incorporate both digitized and born-digital materials and combine the methodologies from traditional humanities disciplines (such as history, philosophy, linguistics, literature, art, archaeology, music, and cultural studies) and social sciences [4] with tools provided by computing (such as data visualisation, information retrieval, data mining, statistics, text mining) and digital publishing. Objectives[edit] A growing number of researchers in digital humanities are using computational methods for the analysis of large cultural data sets.