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DIGITAL PROJECT
PLANNING & PEDAGOGY
Digital Scholarship and Pedagogy Group
September 30, 2106
RAFIA MIRZA
DIGITAL HUMANITIES LIBRARIAN
RAFIA@UTA.EDU
PEACE OSSOM WILLIAMSON
DIRECTOR FOR RESEARCH DATA SERVICES
PEACE@UTA.EDU
OUTLINE
• Digital Project Planning
• What is the goal of your Digital Scholarship project?
• We will discuss Digital Humanities projects as Digital
Scholarship Project
• Learn what the components or layers of a Digital
Humanities project are.
• How do you find data to use to answer research questions?
• Understand descriptive metadata and the rationale for its use
• Digital Pedagogy
• If you are involving students how does that affect your
planning plan?
• How do you incorporate Digital Pedagogy into a Digital
Project ?
WHAT IS A DIGITAL
SCHOLARSHIP/ DIGITAL
HUMANITIES PROJECT?
DIGITAL HUMANITIES
What is it?
“The Digital
Humanities are an
area of research,
teaching, and
creation concerned
with the intersection
of computing and the
disciplines of the
humanities.”
Text via wikipedia Image via Calvinius
DIGITAL HUMANITIES AKA…
Humanities Computing
(Around since the 1940s)
Digital Humanities (term
attributed to this text) 
Humanistic computing
(HCI)
Digital Humanities Praxis
(dh praxis)
Computational Humanities
(More involved in creating
software)
Computational Turn
A Companion to Digital Humanities, ed. Susan Schreibman, Ray Siemens, John
Unsworth. Oxford: Blackwell, 2004.
RESOURCES IN DIGITAL HUMANITIES @ THE UTA
LIBRARIES
http://libguides.uta.edu/digitalhumanities
DIGITAL HUMANITIES TOOLS
“What Digital Humanists mean by ‘Tools’
is extremely loose and inclusive: in
essence, it means any kind of application
or software that helps you get the job
done, whether gathering, processing, or
presenting your research. ”
- matthew milner
Link to Guide on Digital Humanities
Tools
DIGITAL HUMANITIES TOOLS
DIRT DIRECTORY
LAYERS OF DH PROJECTS
1
• Sources
• You need digital data to do DH
2
• Processing or Manipulation
• What is done to the data (usually using some type of software or tool)
3
• Presentation
• DH projects live in the digital realm, online.
WHAT DO YOU NEED TO DO FOR EACH LAYER
OF YOUR DH PROJECT ?
1. Do you need to
access data or
create data?
• Digitization support
• Data Collection
2. Do you need to
do something to
the data to make it
machine readable?
• Software access
• DH tools
• Cleaning Data
3. Do you need to
get it online?
• Server access
• DoOO
• CMS
HOW DID THEY MAKE THAT DH PROJECT?
-MIRIAM POSNER
• Digital Humanities and the
Library: A Bibliography
• Projects
• How did they make that?
• “Many students tell me that
in order to get started with
digital humanities, they’d like
to have some idea of what
they might do and what
technical skills they might
need in order to do it. Here’s a
set of digital humanities
projects that might help you
to get a handle on the kinds of
tools and technologies
available for you to use.”
• How Did They Make That?
The Video!
DOMAIN OF ONES OWN
PROJECT PLANNING
PROJECT PLANNING
What is it that you want to project
to do?
 Are you just experimenting with
a tool or methodology?
Answer a research question?
Serve a pedagogical purpose?
Plan backwards from there
PROJECT PLANNING
DATA
What is data?
Examples:
 Audio
 Oral history databases
 Notes
 Bibliographies
 Geospatial
 Place names in music,
poetry etc.
 Textual
 Digital corpus
DATA ARE MORE THAN NUMBERS!
https://en.wikipedia.org/wiki/Data
What is data
literacy?
the ability to
read, create,
utilize,
communicate,
and
criticize data.
DATA LITERACY
1. investigate
the source(s)
HOW TO UNDERSTAND DATA
2. research the
context: know
the data about
the data (so
meta!)
HOW TO UNDERSTAND DATA
METADATA
What is
metadata?
Video via Timelapse: What is Metadata? By tortoisebutler
WHAT IS METADATA?
METADATA IS IN EVERYDAY LIFE
METADATA IS IN EVERYDAY LIFE
WHAT ARE METADATA STANDARDS?
EXAMPLE OF STANDARDIZATION RULES
Image via Music Metadata Style Guide V. 2 by the Music Business Association’s Digital Supply Chain and Operations
Workgroup
3. research
who the data is
about
HOW TO UNDERSTAND DATA
“We thought this was an obvious
case of public data scraping so
that it would not be a legal
problem,” Kirkegaard wrote to
Fortune.
http://fortune.com/2016/05/18/okcupid-data-research/
Questions to ask
1. How to ensure the
right to consent for
individuals and
communities
2. How to preserve
privacy, security, and
ownership around
their data
confidentiality – protection of
information about a person
privacy – protection of the
person
https://www.abodo.com/blog/tolerance-in-america/
4. highlight
un/common
data entries to
gain rough
insights
HOW TO UNDERSTAND DATA
DESCRIPTIVE ANALYSIS
i.e., description
of the data from
a sample
QUICK DESCRIPTIVE STATISTICS
frequency
rank from lowest to
highest
average (mean,
median, mode)
variability
THE DATA ANALYSIS AND VISUALIZATION
(DAVIS) WORKSHOP SERIES PROVIDES
STUDENTS, FACULTY, AND STAFF WITH
OPPORTUNITIES TO LEARN ABOUT DIGITAL
TOOLS AND TECHNIQUES FOR WORKING WITH
VARIOUS TYPES OF DATA.
DIGITAL PEDAGOGY
DIGITAL PEDAGOGY
A VISUAL ARGUMENT: EMBEDDED OMEKA
SUPPORT FOR ART HISTORY
WHAT IS OMEKA?
 Omeka is a web publishing platform and a content
management system (CMS)
 Omeka was developed specifically for scholarly content, with
particular emphasis on digital collections and exhibits.
 Omeka has been used by many academic and cultural
institutions for its built-in features for cataloging and
presenting digital collections.
 Developing content in Omeka is complemented by an
extensive list of descriptive metadata fields that conforms to
Dublin Core, a standard used by libraries, museums and
archives
 This additional layer helps to establish proper source
attribution, standards for description and organization of
digital resources–all important aspects of scholarly work in
classroom settings but often overlooked in general blogging
platforms.
 via Anthony Bushong and David Kim, Intro to Digital Humanities: What is Omeka?
 OMEKA SUBJECT GUIDE
QUESTIONS? Image via Dom Dada

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Digital project planning and pedagogy

  • 1. This work is licensed under a Creative Commons Attribution- NonCommercial-ShareAlike 4.0 International License.
  • 2. DIGITAL PROJECT PLANNING & PEDAGOGY Digital Scholarship and Pedagogy Group September 30, 2106
  • 3. RAFIA MIRZA DIGITAL HUMANITIES LIBRARIAN RAFIA@UTA.EDU PEACE OSSOM WILLIAMSON DIRECTOR FOR RESEARCH DATA SERVICES PEACE@UTA.EDU
  • 4. OUTLINE • Digital Project Planning • What is the goal of your Digital Scholarship project? • We will discuss Digital Humanities projects as Digital Scholarship Project • Learn what the components or layers of a Digital Humanities project are. • How do you find data to use to answer research questions? • Understand descriptive metadata and the rationale for its use • Digital Pedagogy • If you are involving students how does that affect your planning plan? • How do you incorporate Digital Pedagogy into a Digital Project ?
  • 5. WHAT IS A DIGITAL SCHOLARSHIP/ DIGITAL HUMANITIES PROJECT?
  • 6. DIGITAL HUMANITIES What is it? “The Digital Humanities are an area of research, teaching, and creation concerned with the intersection of computing and the disciplines of the humanities.” Text via wikipedia Image via Calvinius
  • 7. DIGITAL HUMANITIES AKA… Humanities Computing (Around since the 1940s) Digital Humanities (term attributed to this text)  Humanistic computing (HCI) Digital Humanities Praxis (dh praxis) Computational Humanities (More involved in creating software) Computational Turn A Companion to Digital Humanities, ed. Susan Schreibman, Ray Siemens, John Unsworth. Oxford: Blackwell, 2004.
  • 8. RESOURCES IN DIGITAL HUMANITIES @ THE UTA LIBRARIES http://libguides.uta.edu/digitalhumanities
  • 9. DIGITAL HUMANITIES TOOLS “What Digital Humanists mean by ‘Tools’ is extremely loose and inclusive: in essence, it means any kind of application or software that helps you get the job done, whether gathering, processing, or presenting your research. ” - matthew milner Link to Guide on Digital Humanities Tools
  • 12. LAYERS OF DH PROJECTS 1 • Sources • You need digital data to do DH 2 • Processing or Manipulation • What is done to the data (usually using some type of software or tool) 3 • Presentation • DH projects live in the digital realm, online.
  • 13. WHAT DO YOU NEED TO DO FOR EACH LAYER OF YOUR DH PROJECT ? 1. Do you need to access data or create data? • Digitization support • Data Collection 2. Do you need to do something to the data to make it machine readable? • Software access • DH tools • Cleaning Data 3. Do you need to get it online? • Server access • DoOO • CMS
  • 14. HOW DID THEY MAKE THAT DH PROJECT? -MIRIAM POSNER • Digital Humanities and the Library: A Bibliography • Projects • How did they make that? • “Many students tell me that in order to get started with digital humanities, they’d like to have some idea of what they might do and what technical skills they might need in order to do it. Here’s a set of digital humanities projects that might help you to get a handle on the kinds of tools and technologies available for you to use.” • How Did They Make That? The Video!
  • 17. PROJECT PLANNING What is it that you want to project to do?  Are you just experimenting with a tool or methodology? Answer a research question? Serve a pedagogical purpose? Plan backwards from there
  • 19. DATA
  • 21. Examples:  Audio  Oral history databases  Notes  Bibliographies  Geospatial  Place names in music, poetry etc.  Textual  Digital corpus DATA ARE MORE THAN NUMBERS! https://en.wikipedia.org/wiki/Data
  • 23. the ability to read, create, utilize, communicate, and criticize data. DATA LITERACY
  • 24. 1. investigate the source(s) HOW TO UNDERSTAND DATA
  • 25. 2. research the context: know the data about the data (so meta!) HOW TO UNDERSTAND DATA
  • 28. Video via Timelapse: What is Metadata? By tortoisebutler
  • 30. METADATA IS IN EVERYDAY LIFE
  • 31. METADATA IS IN EVERYDAY LIFE
  • 32. WHAT ARE METADATA STANDARDS?
  • 33. EXAMPLE OF STANDARDIZATION RULES Image via Music Metadata Style Guide V. 2 by the Music Business Association’s Digital Supply Chain and Operations Workgroup
  • 34. 3. research who the data is about HOW TO UNDERSTAND DATA
  • 35.
  • 36. “We thought this was an obvious case of public data scraping so that it would not be a legal problem,” Kirkegaard wrote to Fortune. http://fortune.com/2016/05/18/okcupid-data-research/
  • 37. Questions to ask 1. How to ensure the right to consent for individuals and communities 2. How to preserve privacy, security, and ownership around their data
  • 38. confidentiality – protection of information about a person privacy – protection of the person https://www.abodo.com/blog/tolerance-in-america/
  • 39.
  • 40. 4. highlight un/common data entries to gain rough insights HOW TO UNDERSTAND DATA
  • 42. QUICK DESCRIPTIVE STATISTICS frequency rank from lowest to highest average (mean, median, mode) variability
  • 43. THE DATA ANALYSIS AND VISUALIZATION (DAVIS) WORKSHOP SERIES PROVIDES STUDENTS, FACULTY, AND STAFF WITH OPPORTUNITIES TO LEARN ABOUT DIGITAL TOOLS AND TECHNIQUES FOR WORKING WITH VARIOUS TYPES OF DATA.
  • 46. A VISUAL ARGUMENT: EMBEDDED OMEKA SUPPORT FOR ART HISTORY
  • 47. WHAT IS OMEKA?  Omeka is a web publishing platform and a content management system (CMS)  Omeka was developed specifically for scholarly content, with particular emphasis on digital collections and exhibits.  Omeka has been used by many academic and cultural institutions for its built-in features for cataloging and presenting digital collections.  Developing content in Omeka is complemented by an extensive list of descriptive metadata fields that conforms to Dublin Core, a standard used by libraries, museums and archives  This additional layer helps to establish proper source attribution, standards for description and organization of digital resources–all important aspects of scholarly work in classroom settings but often overlooked in general blogging platforms.  via Anthony Bushong and David Kim, Intro to Digital Humanities: What is Omeka?  OMEKA SUBJECT GUIDE

Hinweis der Redaktion

  1. Privacy, reuse, etc. Copyright. Open web different than blackboard (fair use) Reuse : [copyright librarian] Rafia, Jody
  2. However computing intersects with your disciplines is digital scholarship
  3. Humanities Computing as Digital Humanities http://www.digitalhumanities.org/dhq/vol/3/3/000065/000065.html The terminological change from "humanities computing" to "digital humanities" has been attributed to John Unsworth and Ray Siemens who, as editors of the monograph A Companion to Digital Humanities (2004), tried to prevent the field from being viewed as "mere digitization."[22]Consequently, the hybrid term has created an overlap between fields like rhetoric and composition, which use "the methods of contemporary humanities in studying digital objects,"[22] and digital humanities, which uses "digital technology in studying traditional humanities objects".[22] The use of computational systems and the study of computational media within the arts and humanities more generally has been termed the 'computational turn'.[23] In 2006 the National Endowment for the Humanities (NEH), the federal granting agency for scholarships in the humanities, launched the Digital Humanities Initiative (renamed Office of Digital Humanities in 2008), which made widespread adoption of the term "digital humanities" all but irreversible in the United States.[24] http://www.inderscience.com/jhome.php?jcode=ijshc “'Social and humanistic computing' stands for holistic approaches to human/social-centric design of pervasive, ubiquitous systems, providing/supporting a new era of human/social experience going beyond traditional perceptions of the interaction of humans with IT/IS, exploiting social/humanistic research for the provision of high-tech services and human-centric systems promoting social sustainability development.” “Praxis is the process by which a theory, lesson, or skill is enacted, embodied, or realised. "Praxis" may also refer to the act of engaging, applying, exercising, realizing, or practicing ideas.” http://en.wikipedia.org/wiki/Praxis_(process) “his new 'computational turn' takes the methods and techniques from computer science to create new ways of distant and close readings of texts (e.g. Moretti).” https://sites.google.com/site/dmberry/ Spatial Turn http://spatial.scholarslab.org/spatial-turn/what-is-the-spatial-turn/  
  4. Talk to subject experts, read papers, and study accompanying documentation
  5. “…As information has become increasingly digital, metadata is also used to describe digital data using metadata standards specific to a particular discipline.” https://en.wikipedia.org/wiki/Metadata
  6. Data ethics And gaps in data
  7. This is not the result of a security breach. This is data placed openly online, publicly available. The data is indeed public—sort of. Some of it like bios, photos, age, gender, sexual orientation is easily accessible through basic Google searches. Answers to some 2,600 of the service’s most popular dating survey questions are restricted to people who are logged into the site and who have answered the same questions. Real names and pictures were not included but could be easily investigated from their usernames or a combination of that with a birthday or a location.
  8. These issues should be balanced with the need to create meaningful impact with a project or a story. As news stories incorporate more (personal) data than ever in their work, journalists face several challenges related to the responsible use of this data – sometimes without being aware of them
  9. So, how was the OKCupid situation a privacy concern? people have a certain expectation of the final use of the information that they share. Once the receiver changes (a person reading a reply to their tweet versus Buzzfeed readers) or the transmission changes (clicking on a profile in OKCupid versus searching a data storehouse), it creates a perceived violation of privacy. Getting informed consent is not easy (and is often impossible) in the kind of reporting, which heavily relies on social media.
  10. Here is how you can begin to see patterns in data
  11. What is a numerical way to describe data?
  12. Frequency – how often a value exists (e.g., a name or gender) 50 women, 38 men, 2 other, 10 unknown Rank from lowest to highest – list albums’ use of personal pronouns in order of high to low Average - Measure of central tendency Variability – how different or similar scores are to each other (range, standard deviation)