This is a minimal solution for the survey specified here: http://jonudell.info/h/CredCoContentAnnotation/pe_schema-credweb3.html. Initial demo http://jonudell.info/h/credco-01.mp4. Explanation: https://web.hypothes.is/blog/annotation-powered-questionnaires/. More Hypothesis tools.

This app runs in two browser windows. You launch it from a page of content, using a bookmarklet. That code, running in the content page, opens another window where you answer questions. When the answer to a question requires a selection in the content page, you send the selection from the content page to the app window.

These are the ingredients:

1. gather.js: injected into a host page, opens index.html in an app window, and sends selections to it
2. index.html: the page where the app runs
3. index.js: code that runs in the app window (and uses https://github.com/judell/hlib for Hypothesis integration)
4. questions.js: definitions of questions and control flow
5. StandaloneAnchoring.js: from https://github.com/judell/TextQuoteAndPosition (modules, also used by the Hypothesis client, to convert a selection in a web page into the selectors needed by an annotation that targets the selection)

There's no server, this is purely a browser-based app. Deployment is old-school: Upload items 1-4 to some web-facing subdirectory, then create a bookmarklet like so:

<a href="javascript:(function(){var d=document; var s=d.createElement('script');s.setAttribute('src','https://jonudell.info/hlib/StandaloneAnchoring.js');d.head.appendChild(s); s=d.createElement('script');s.setAttribute('src','https://jonudell.info/h/AnnotationPoweredSurvey/gather.js');d.head.appendChild(s);})();">Annotation-powered Survey</a>

GitHub's Markdown doesn't seem to let me form a drag-installable bookmarklet here in this page, but you can:

• Go to this page and drag it from there, or
• Edit the above text into the URL field of an existing bookmarklet

That bookmarklet refers to a deployment at https://jonudell.info/h/AnnotationPoweredSurvey, and you can use the bookmarklet to test that instance. To host your own, rewrite questions.js, copy items 1-4 to another place, and tweak the bookmarklet to point to the gather.js in that place.

When activated from the bookmarklet, the app may trigger a popup blocker and require explicit consent.

If the host page enforces Content Security Policy, the bookmarklet won't work. Should that become a problem, the mechanism can be repackaged as a browser extension.

To run the tests:

1. python server.py

2. visit http://localhost:8001/

3. Enter your Hypothesis username and token

4. visit http://localhost:8001/test.html?url=https://localhost:8001/test.html

The answer is one of a set of choices

The answer is one or more of a set of choices

The answer is freeform text

The answer is a selection

Use the prompt key:

  'Q02' : {
    'type' : 'radio',
    'title' : 'Title Representativeness',
    'question' : 'Does the title of the article accurately reflect the content of the article?',
    'prompt' : 'Please select the title',

     ...
     
    'anchored' : true,
  },

Every question should have a title and a question. I added prompt initally for messages like Please make a selection or Select all that apply. But those are just rules that can be applied automatically when a question asserts 'anchored':true or 'type':'checkbox'. The former is separately communicated with a tooltip, the latter could be. So I'm thinking prompt is an optional way to say something else about a question, but we'll see how that plays out.

Use the anchored key (the annotation will be anchored to the selection)

 'Q02' : {
    'type' : 'radio',
    'title' : 'Title Representativeness',

    ... 
    
    'anchored' : true,
  },

When consecutive questions relate to the same selection, a selection is remembered and carried forward. Use newSelectionRequired to require a new selection.

  'Q16_01': {
    'type': 'highlight',
    'title': 'Emotional valence',
    'question': 'Highlight where any language is extremely negative or extremely positive',
    'anchored': true,
    'newSelectionRequired': true,
    'requires': {
      'target': 'Q16',
      'oneOf': ['1.16.01', '1.16.02', '1.16.04', '1.16.05'],
    },
    'repeatable': true,
  },

Q03 requires that the answer to Q02 was '1.02.01' or '1.02.02'

 'Q02' : {
    'type' : 'radio',
    'title' : 'Title Representativeness',
    'question' : 'Does the title of the article accurately reflect the content of the article?',
    'prompt' : 'Please select the title',
    'choices' : [
      '1.02.01:Completely Unrepresentative',
      '1.02.02:Somewhat Unrepresentative',
      '1.02.03:Somewhat Representative',
      '1.02.04:Completely Representative',      
    ],
    'anchored' : true,
  },
  'Q03' : {
    'type' : 'checkbox',
    'title' : 'Title Representativeness',
    'question' : 'How is the title unrepresentative? (select all that apply)',
    'requires' : {
      'target': 'Q02',
      'oneOf' : ['1.02.01','1.02.02'],
    },
    'choices' : [
      '1.03.01:Title is on a different topic than the body',
      '1.03.02:Title emphasizes different information than the body',
      '1.03.03:Title carries little information about the body',
      '1.03.04:Title takes a different stance than the body',
      '1.03.05:Title overstates claims or conclusions in the body',
      '1.03.06:Title understates claims or conclusions in the body',
      '1.03.07:Other'
    ],
    'anchored' : true,
  },

Q03_01 requires that '1.03.07' is among the responses to Q03

  'Q03_01' : {
  'type' : 'textarea',
  'title' : 'Title Representativeness',
  'question' : 'Please describe other ways in which the title is not representative',
  'anchored' : true,
  'requires' : {
    'target' : 'Q03',
    'contains' : '1.03.07'
  },
},

Q09_02 requires that Q09_01 was answered

'Q08b' : {
  'type' : 'checkbox',
  'title' : 'Types of sources',
  'question' : 'Which of the following are cited?',
  'requires' : {
    'target' : 'Q08a',
    'equal' : '1.08a.01',
  },    
  'choices' : [
    '1.08.02:Experts',
    '1.08.03:Studies',
    '1.08.04:Organizations',      
  ],
  'anchored' : false,
},  
'Q09_01' : {
  'type' : 'highlight',
  'title' : 'Expert sources',
  'question' : 'Highlight expert source #1',
  'anchored': true,
  'requires' : {
    'target': 'Q08b',
    'contains' : '1.08.02',
  },
},  
'Q09_02' : {
  'type' : 'highlight',
  'canskip' : true,
  'title' : 'Expert sources',
  'question' : 'Highlight expert source #2',
  'anchored': true,
  'requires' : {
    'target': 'Q09_01',
    'exists' : true,
  },
},

Given this setup, if the answer to Q15 is yes or sort of, the user is prompted to make a new selection and provide that as the answer to Q15_01. The question then repeats, requiring a new selection each time, until the user clicks a next question button.

  'Q15': {
    'type': 'radio',
    'title': 'Acknowledgement of uncertainty',
    'question': 'Does the author acknowledge uncertainty, or the possibility things might be otherwise?',
    'choices': [
      '1.15.01:Yes',
      '1.15.02:Sort of',
      '1.15.03:No',
    ],
    'anchored': false,
  },
  'Q15_01': {
    'type': 'highlight',
    'title': 'Acknowledgement of uncertainty',
    'question': 'Highlight uncertainty example',
    'anchored': true,
    'newSelectionRequired': true,
    'requires': {
      'target': 'Q15',
      'oneOf': ['1.15.01', '1.15.02'],
    },
    'repeatable': true,
  },

Visit https://jonudell.info/h/facet/, select the appropriate group, click CSV.

The requires syntax includes only the minimum set of patterns implied by the CredCo questionnaire. The syntax will likely need to evolve/improve/simplify as other patterns emerge.

For the CredCo app, annotators will be placed into individual Hypothesis groups, each of which will also have the project coordinator as a member. That means the coordinator can export data from each of the per-annotator groups. It also means that we'd need to copy the data to the Public layer if/when that's desired.

If you close the app window during a survey, then relaunch from the bookmarlet, your prior context will be read from the annotation layer and restored.

Ideally this approach can integrate with other systems, like Check and TagWorks, in order bring their question-answering capabilities to granular, in-situ content.