Upgrade to Pro — share decks privately, control downloads, hide ads and more …

From Research Ideas to Projects

6745cb3499fb34a8e82d5ecbe70fcae5?s=47 trevormunoz
August 14, 2016

From Research Ideas to Projects

A version of these slides were presented to the “Resilient Networks to Support Inclusive Digital Humanities (DH)” workshop at George Washington University, August 10–12, 2016.



August 14, 2016


  1. Trevor Muñoz RESILIENT NETWORKS WORKSHOP Developing Research Ideas

  2. Trevor Muñoz What is a research idea?

  3. Trevor Muñoz A research idea is with some existing set

    of ideas in dialogue A research idea is an intention to in the community of people engaged with that body of ideas intervene
  4. Trevor Muñoz What if we “read” [THING] this way?

  5. Trevor Muñoz Bonnie Mak and Julia Pollack — Influenced by

    a principle of inspiration rather than reproducibility or repeatability, scholars in the humanities deploy strategies such as metaphor, analogy, contradiction, silence, and seduction to provoke their audiences.” “ make new knowledge [ ]
  6. Pause We need to talk about the relationship of ideas

    to projects ( )
  7. Trevor Muñoz “Project” is a shibboleth of the digital humanities

  8. Trevor Muñoz A project is a process by which we

    try to implement some version of an idea the idea(s) “the project” It’s important not to lose sight of the distinction between and
  9. Trevor Muñoz Four Parts of an Idea* questions audiences sources

    tangible products this formulation was co-developed with Jennifer Guiliano *
  10. Trevor Muñoz Ideas are constructed validated then they need to

    be thinking through the four parts of an idea helps you do this
  11. Trevor Muñoz the idea(s) “the project” Don’t lose sight of

    the distinction between and gaps The most exciting ideas arise from the in what has already been done. Think of ideas as being made out of FOUR parts: questions audiences sources tangible products
  12. Trevor Muñoz RESILIENT NETWORKS WORKSHOP How to think about data

    like a digital humanist
  13. Trevor Muñoz Defining Data evidence Data is information deployed in

    the role of
  14. Trevor Muñoz Sabina Leonelli — Any product of research activities,

    ranging from artifacts such as photographs to symbols such as letters or numbers which is collected, stored and disseminated in order to be used as evidence for knowledge claims.” “ Defining Data
  15. Trevor Muñoz … like a digital humanist WHEN IS THIS

  16. Trevor Muñoz * not to scale research data curation preservation

  17. Trevor Muñoz discipline matters research data curation preservation discipline agnostic

  18. Trevor Muñoz evidence circulates that through some kind of public.

  19. Trevor Muñoz Bonnie Mak and Julia Pollack — Influenced by

    a principle of inspiration rather than reproducibility or repeatability, scholars in the humanities deploy strategies such as metaphor, analogy, contradiction, silence, and seduction to provoke their audiences.” “
  20. Trevor Muñoz Data is not intrinsically digital Some of the

    challenges you will encounter will be data challenges and some will be digital challenges. It’s important to be able to tell them apart.
  21. Trevor Muñoz Data problems/Digital problems

  22. Trevor Muñoz

  23. Trevor Muñoz For the computer, the information in a digital

    image is a matrix of color and light values. There is no computationally- available information in this version of the object about language
  24. Trevor Muñoz To the Honble the Judges of the Circuit

    Court of the District of Columbia for the County of Washington The petition of Amelia Marshall alias Milly Marshal (coloured woman) humbly represents that she is a coloured woman and is as she believes entitled to her freedom. That she is now held in bondage a state of slavery by John Gant & William …
  25. Trevor Muñoz If a human transcribes the image, now there

    is computationally- addressable character information. Depending on how that character information is organized there may or may not be computationally- addressable information about the “text”
  26. Trevor Muñoz Additional (meta)data

  27. Trevor Muñoz Typology of data problems Identity problems Is this

    the data we think it is? Is this data the same as that data? Meaning problems What is this data supposed to be telling us? Relationship problems How is this data related to that data? Integration problems How can I combine this data with other data? Interoperation problems How can I get this data to work with my software? ALLEN RENEAR’S
  28. Trevor Muñoz Models, transformations, and views WORKING WITH DATA

  29. Trevor Muñoz entity relationship attribute Modeling tools

  30. Trevor Muñoz Modeling tools Or, alternately, the Or, one of

    a number of vocabularies linked data TEI standard Text Encoding Initiative
  31. Trevor Muñoz Open Refine http://openrefine.org/ Transformation tools

  32. Trevor Muñoz Transforming data is one reason that it can

    be valuable to learn a programming language
  33. Trevor Muñoz When deciding what data to collect or how

    much it’s useful to try to imagine how someone will ultimately view that data This could be through something like wireframes of an interface, or sketches of a visualization
  34. Trevor Muñoz evidence circulate Data is information deployed in the

    role of and it thus follows that data must be able to through some kind of public. A large proportion of research is data curation models To be effective working with data, think about transformations views
  35. Trevor Muñoz RESILIENT NETWORKS WORKSHOP How to turn an idea

    into a project
  36. Trevor Muñoz The most important thing to have is a

    that attempts some research idea in a community of people engaged with a shared body of knowledge intervention
  37. Trevor Muñoz Ideas are cheap The core ideas involved in

    how to turn ideas into projects involve good stewardship of the resources that people invest in those ideas
  38. Trevor Muñoz Project Management Are we using people’s time well?

    Relatedly, are we using any money we received well? Team Management How are we giving credit to everyone who is contributing to this project? How will everyone communicate? Who is responsible for the emotional labor of making us a team? Sustainability Will the work people put into this project disappear in a year? Five years?
  39. Trevor Muñoz Project Charters formal One of the more ways

    for a team to decide how they’ll work together Most useful when working across institutional boundaries or for complex divisions of labor
  40. Trevor Muñoz They can be most helpful to those on

    the team with the least power, who are least able or least comfortable getting what they bureaucratic Formal tools, like charters, are more than exercises need to do their work through more informal means.
  41. Trevor Muñoz not hiring help Building a team is formal

    informal How teams work together will vary from to Being good at managing a team is different than being a good scholar, librarian, administrator, organizational leader
  42. Trevor Muñoz Planning the work

  43. Trevor Muñoz Work plans are purposeful fictions. Embrace this by

    using them as simulations Identify some checkpoints and imagine ways that plans would have to change if you’re behind schedule at that point
  44. Trevor Muñoz Project Management Tools

  45. Trevor Muñoz There are several different project management tools in

    wide use Basecamp Trello Asana Pick the one that best fits how you think
  46. Trevor Muñoz Email is not a project management tool

  47. Trevor Muñoz Choosing technologies

  48. Trevor Muñoz When starting new projects, choose technologies late as

    in the process as possible
  49. Trevor Muñoz If you’re not a specialist in technology, your

    first job is to establish a relationship with a person who is and who will help* you help does not mean that person will choose a technology for you *
  50. Trevor Muñoz If you are a specialist in technology, balance

    being efficient (which probably means using technologies you’ve used before) (beware warping solutions to fit familiar technologies) with being flexible h/t Jill Gremmels
  51. Trevor Muñoz Dissemination

  52. Trevor Muñoz Don’t default to producing a white paper

  53. Trevor Muñoz Think about when planning dissemination activities audiences Administrators

    and policy makers are the (chief) audiences for white papers, which they use to help them make decisions. Is your output for that audience? If so, have you thought about their needs?
  54. Trevor Muñoz impact What can you generate for the community

    in return for the resources invested in your project?
  55. Trevor Muñoz Don’t default to producing a scholarly article especially

    in a closed access journal *
  56. Trevor Muñoz workshops Consider other active and engaged forms of

    dissemination like symposia tutorials
  57. Trevor Muñoz Sustainability is not the same thing as preservation

  58. Trevor Muñoz It is difficult to do good sustainability planning

    without being able to distinguish between active archival and phases of projects
  59. Trevor Muñoz Ithaka S+R Toolkit RESOURCE http://www.sr.ithaka.org/publications/ sustainability-implementation-toolkit/

  60. Trevor Muñoz http://devdh.org DevDH.org Further Reading Jennifer Guiliano and Simon

  61. Trevor Muñoz Thanks My thinking about research ideas and projects

    has been immeasurably improved by Jennifer Guiliano Simon Appleford Ed Summers Megan Senseney Stephanie Sapienza Purdom Lindblad
  62. Trevor Muñoz tmunoz@umd.edu