Map of IRIS-HEP

This is a variation on the other Collaboration map aimed at IRIS-HEP.

people: with description that links to their homepage.
projects: specific projects or perhaps topics of discussion
collaborations: groups of people brought together with some common goal, theme, or for some other organizational reason

The result

Making it easier to make them with YAML

One nice thing about this appraoch is that the input to the D3.js script is JSON (here's an example on GitHub link ), so it should be easy to collaboratively guild this collaboration graph. However, the JSON is annoying to edit and the D3 script is picky. So I worked on a small script to convert a minimal YAML file into the corresponding JSON.

import sys, yaml, json

def expand_dict(dict_in):
    dict_out = {}

    ditem_defaults = {'type':'ditem','links':[], 'description':''}
    dict_out['ditems'] = []
    n=0
    for i in dict_in['ditems']:
        n+=1
        for key in ditem_defaults.keys() - i.keys():
            i[key]=ditem_defaults[key]
        i['ditem']=n
        dict_out['ditems'].append(i)

    collab_defaults = {'type':'collaboration','description':'','group':1}
    dict_out['collaborations'] = []
    n=0
    for i in dict_in['collaborations']:
        n+=1
        for key in collab_defaults.keys() - i.keys():
            i[key]=collab_defaults[key]
        i['count']=n
        dict_out['collaborations'].append(i)

    proj_defaults = {'type':'project','description':''}
    dict_out['projects'] = []
    n=0
    for i in dict_in['projects']:
        n+=1
        for key in proj_defaults.keys() - i.keys():
            i[key]=proj_defaults[key]
        i['count']=n
        dict_out['projects'].append(i)

    return dict_out

#read files and convert
ydict_minimal={}
f = open('test_people.yml', 'r')
ydict_minimal.update(yaml.load(f))
f.close()
f = open('test_projects.yml', 'r')
ydict_minimal.update(yaml.load(f))
f.close()
f = open('test_colab.yml', 'r')
ydict_minimal.update(yaml.load(f))
f.close()

ydict_expanded = expand_dict(ydict_minimal)

f = open('test.json', 'w+')
json.dump(ydict_expanded,f,indent=1)
f.close()

Example YAML files

ditems:
- name: Peter Elmer
  links:
  - CMS
  - DIANA
  - Executive Board
  - Steering Board
  - Innovative Algorithms
- name: Brian Bockelman
  links:
  - DOMA
  - DIANA
  - OSG
  - Executive Board
  - xcache
  - iDDS
  - third party copy

projects:
- name: pyhf
- name: func_adl
- name: Coffea
- name: uproot
- name: Awkward Array
- name: Recast
- name: REANA
- name: MadMiner
- name: Scikit-Hep

collaborations:
- name: ATLAS
- name: CMS
- name: LHCb
- name: DOMA
- name: Analysis Systems
- name: Innovative Algorithms
- name: SSL
- name: Blueprint
- name: Executive Board
- name: Steering Board
- name: Advisory Board
- name: Training, Education and Outreach
- name: OSG
- name: SCAILFIN
- name: DIANA
- name: DASPOS

The result

Making it easier to make them with YAML

Example YAML files

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