Open Data Resources
7 |Resources on open data policy and open government initatives in Australia:
10 |Open Data Resources
7 |Resources on open data policy and open government initatives in Mexico and Latin America:
10 |Recursos de Datos Abiertos
7 |Aquí se encuentran algunos recursos adicionales sobre los Datos Abiertos y la política en México y en Latinoamérica:
10 |Open Data 500 Australia
Company Survey
9 | To qualify for the Open Data 500 Australia, a company must:
11 |-
12 |
- Have an operating presence in Australia 13 |
- Earn revenue from its products and services (non-profits may qualify if they have a sustainable revenue stream) 14 |
- Use open data as a business or operation resource 15 |
If your company meets these criteria, please take a few minutes to fill out this short online form. Thank you again for your participation.
17 |The fields marked with * are required
18 |Your responses will become part of a public database of information on Open Data companies. By submitting this form you are agreeing that, other than personal contact and financial information, responses will be part of a publicly available database. Contact and financial information will be confidential.
21 | 33 | 34 | 35 | 36 | {% end %} 37 | -------------------------------------------------------------------------------- /static/js/es.js: -------------------------------------------------------------------------------- 1 | // ParsleyConfig definition if not already set 2 | window.ParsleyConfig = window.ParsleyConfig || {}; 3 | window.ParsleyConfig.i18n = window.ParsleyConfig.i18n || {}; 4 | 5 | window.ParsleyConfig.i18n.es = $.extend(window.ParsleyConfig.i18n.es || {}, { 6 | defaultMessage: "Este valor parece ser inválido.", 7 | type: { 8 | email: "Este valor debe ser un correo válido.", 9 | url: "Este valor debe ser una URL válida.", 10 | number: "Este valor debe ser un número válido.", 11 | integer: "Este valor debe ser un número válido.", 12 | digits: "Este valor debe ser un dígito válido.", 13 | alphanum: "Este valor debe ser alfanumérico." 14 | }, 15 | notblank: "Este valor no debe estar en blanco.", 16 | required: "Este valor es requerido.", 17 | pattern: "Este valor es incorrecto.", 18 | min: "Este valor no debe ser menor que %s.", 19 | max: "Este valor no debe ser mayor que %s.", 20 | range: "Este valor debe estar entre %s y %s.", 21 | minlength: "Este valor es muy corto. La longitud mínima es de %s caracteres.", 22 | maxlength: "Este valor es muy largo. La longitud máxima es de %s caracteres.", 23 | length: "La longitud de este valor debe estar entre %s y %s caracteres.", 24 | mincheck: "Debe seleccionar al menos %s opciones.", 25 | maxcheck: "Debe seleccionar %s opciones o menos.", 26 | check: "Debe seleccionar entre %s y %s opciones.", 27 | equalto: "Este valor debe ser idéntico." 28 | }); 29 | 30 | // If file is loaded after Parsley main file, auto-load locale 31 | if ('undefined' !== typeof window.ParsleyValidator) 32 | window.ParsleyValidator.addCatalog('es', window.ParsleyConfig.i18n.es, true); 33 | -------------------------------------------------------------------------------- /templates/kr/en/submitCompany.html: -------------------------------------------------------------------------------- 1 | {% extends "../../main.html" %} 2 | {% autoescape None %} 3 | 4 | {% block body %} 5 | 6 | 7 | 8 |Open Data 500
10 |Company Survey
11 | 12 |To qualify for the Open Data 500 US study, a company must:
13 |-
14 |
- Be based within the United States 15 |
- Earn revenue from its products and services 16 |
- Use open government data as a key resource for its business. While most Open Data 500 companies will work with federal data, we are also interested in those that use city or state data in a way that can scale regionally or nationally. 17 |
If your company meets these criteria, please take a few minutes to fill out this short online form. Thank you again for your participation.
19 |Fields marked with * are required
20 |Open Data 500
10 |Company Survey
11 | 12 |To qualify for the Open Data 500 US study, a company must:
13 |-
14 |
- Be based within the United States 15 |
- Earn revenue from its products and services 16 |
- Use open government data as a key resource for its business. While most Open Data 500 companies will work with federal data, we are also interested in those that use city or state data in a way that can scale regionally or nationally. 17 |
If your company meets these criteria, please take a few minutes to fill out this short online form. Thank you again for your participation.
19 |Fields marked with * are required
20 |Open Data 100 Mexico
Company Survey
10 | To qualify for the Open Data 100 Mexico, a company must:
12 |-
13 |
- Be Mexico-based (or have a significant portion of operations in Mexico), 14 |
- Earn revenue from its products and services (non-profits may qualify if they have a sustainable revenue stream), and 15 |
- Use publicly available government data as a key business or operational resource (This includes any information or statistics from government agencies). 16 |
If your company meets these criteria, please take a few minutes to fill out this short online form. Thank you again for your participation.
18 |The fields marked with * are required
19 |Admin Settings
5 | 31 | -------------------------------------------------------------------------------- /templates/mx/es/submitCompany.html: -------------------------------------------------------------------------------- 1 | {% extends "../../main.html" %} 2 | {% autoescape None %} 3 | 4 | {% block body %} 5 | 6 |
Datos Abiertos 100 México
Encuesta
8 | Para participar en el Datos Abiertos 100 México, la compañía debe:
10 |-
11 |
- Tener su base en México (o realizar gran parte de sus operaciones en México). 12 |
- Generar ingresos de sus productos y servicios (se aceptan organizaciones sin fines de lucro bajo la condición de que generen ingresos de manera sostenible). 13 |
- Utilizar datos públicos gubernamentales como parte integral de su negocio (esto incluye cualquier información o estadísticas provenientes de las entidades gubernamentales). 14 |
Si tu compañía cumple con estos criterios, te invitamos a completar esta breve encuesta en línea. Gracias por tu participación.
16 |Los campos marcados con * son requeridos
17 |{{ page_heading }}
9 | 10 | 11 | 24 | 25 || Agency Name | 28 |Edit URL | 29 |Date Submitted | 30 |No. Subagencies | 31 |Used By: | 32 |Source | 33 |
|---|---|---|---|---|---|
| {%if a.name %}{{ a.name }}{% else %}No Name{%end%} | 37 |Edit | 38 |{{ a.ts.strftime("%b, %d '%y @%I:%M %p") }} | 39 |{{ len(a.subagencies) }} | 40 |{{ a.usedBy_count }} | 41 |{{ a.source }} | 42 |
{{ page_heading }}
9 | 10 | 11 | 24 | 25 || Agency Name | 28 |Edit URL | 29 |Date Submitted | 30 |No. Subagencies | 31 |Used By: | 32 |Source | 33 |
|---|---|---|---|---|---|
| {%if a.name %}{{ a.name }}{% else %}No Name{%end%} | 37 |Edit | 38 |{{ a.ts.strftime("%b, %d '%y @%I:%M %p") }} | 39 |{{ len(a.subagencies) }} | 40 |{{ a.usedBy_count }} | 41 |{{ a.source }} | 42 |
Making open government data more relevant, accessible, and actionable
11 |The GovLab has hosted a series of Roundtables that brought together federal agencies with the businesses and other organizations that use their data, drawing on the work of the Open Data 500. The U.S. Open Data Action Plan, released by the White House on May 9, 2014, describes these Roundtables as a key part of meeting the commitment to “support innovators and improve open data based on feedback.” The Plan notes that “Specific, actionable feedback from these sessions [the Roundtables] and others has the potential to improve descriptions, formats, and accessibility of government data.”
15 |Objectives
19 | 20 |The Open Data Roundtables bring together data providers in government and data users in business and the nonprofit sector to identify the kinds of datasets that have the greatest value, and to determine what is needed to make them as useful as possible. The Roundtables are designed to:
22 | 23 |-
24 |
- Prioritize the most important datasets in each agency for business and public use. 25 |
- Improve each agency’s data and make it easier to find, access, and work with. 26 |
- Connect businesses and organizations with government agency staff who manage the data they use, and set up a process for ongoing feedback. 27 |
The GovLab has published summaries of these Roundtables and their results to help establish a new way of planning, preparing, and implementing the release of open data at the federal level. The shift to demand-driven open data will help agencies prioritize their work on open data much more effectively, meet the needs of users more efficiently, and potentially release billions of dollars in economic value through new, targeted data release.
30 | 31 |Making open government data more relevant, accessible, and actionable
11 |The GovLab has hosted a series of Roundtables that brought together federal agencies with the businesses and other organizations that use their data, drawing on the work of the Open Data 500. The U.S. Open Data Action Plan, released by the White House on May 9, 2014, describes these Roundtables as a key part of meeting the commitment to “support innovators and improve open data based on feedback.” The Plan notes that “Specific, actionable feedback from these sessions [the Roundtables] and others has the potential to improve descriptions, formats, and accessibility of government data.”
15 |Objectives
19 | 20 |The Open Data Roundtables bring together data providers in government and data users in business and the nonprofit sector to identify the kinds of datasets that have the greatest value, and to determine what is needed to make them as useful as possible. The Roundtables are designed to:
22 | 23 |-
24 |
- Prioritize the most important datasets in each agency for business and public use. 25 |
- Improve each agency’s data and make it easier to find, access, and work with. 26 |
- Connect businesses and organizations with government agency staff who manage the data they use, and set up a process for ongoing feedback. 27 |
The GovLab has published summaries of these Roundtables and their results to help establish a new way of planning, preparing, and implementing the release of open data at the federal level. The shift to demand-driven open data will help agencies prioritize their work on open data much more effectively, meet the needs of users more efficiently, and potentially release billions of dollars in economic value through new, targeted data release.
30 | 31 |Datos Abiertos 100 México
11 |Acerca de esta iniciativa
26 |Como parte de la política de Datos Abiertos, el Gobierno de la República colabora con The GovLab de la Universidad de Nueva York para realizar Datos Abiertos 100 México. Esta iniciativa es el primer estudio de las compañías y ONGs mexicanas que utilizan datos gubernamentales abiertos para crecer sus negocios, desarrollar nuevos productos y servicios, o impulsar el valor social.
27 | 28 |Cómo participar
32 |1
34 |Si representas una compañía u ONG que trabaja con Datos Abiertos:
35 |Por favor responde la encuesta.
36 |2
39 |Si quieres recomendar una compañía que utiliza Datos Abiertos:
40 |Por favor envía un correo a DA100MX@datos.gob.mx.
41 |3
44 |Si tienes información general que quieras compartir sobre los Datos Abiertos en México:
45 |Únete a la conversación, twittea tus comentarios en #OD100MX, o envíanos un correo a DA100MX@datos.gob.mx.
46 |10 |
11 |
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Editing {{company.companyName}} (Admin)
15 | 25 |26 | 27 | {% module AgencyAdd(country, settings['default_language'], company) %} 28 | 29 | {#--*****************************************************************-SUBMIT BUTTON-***************************************************************** --#} 30 |
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Editando {{company.companyName}} (Admin)
15 | 25 |26 | 27 | {% module AgencyAdd(country, settings['default_language'], company) %} 28 | 29 | {#--*****************************************************************-SUBMIT BUTTON-***************************************************************** --#} 30 |
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15 | 24 |25 | 26 | {% module AgencyAdd(country, settings['default_language'], company) %} 27 | 28 | {#--*****************************************************************-SUBMIT BUTTON-***************************************************************** --#} 29 |
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{{ page_heading }}
15 | 24 |25 | 26 | {% module AgencyAdd(country, settings['default_language'], company) %} 27 | 28 | {#--*****************************************************************-SUBMIT BUTTON-***************************************************************** --#} 29 |
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Editando {{company.companyName}}
15 | 23 |24 | 25 | {% module AgencyAdd(country, settings['default_language'], company) %} 26 | 27 | {#--*****************************************************************-SUBMIT BUTTON-***************************************************************** --#} 28 |
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{{ page_heading }}
14 | 15 | 16 | 28 | 29 | 30 | 78 | 79 | {% end %} 80 | 81 | 82 | 83 | -------------------------------------------------------------------------------- /templates/admin/es/admin_add_company.html: -------------------------------------------------------------------------------- 1 | {% extends "../../main.html" %} 2 | {% autoescape None %} 3 | 4 | {% block body %} 5 | 6 | 7 | 8 |9 |
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Agregar Compañía
14 | 15 | 16 | 28 | 29 | 30 | 78 | 79 | {% end %} 80 | 81 | 82 | 83 | -------------------------------------------------------------------------------- /handlers/modules.py: -------------------------------------------------------------------------------- 1 | from base import * 2 | import json 3 | from utils import Tools 4 | 5 | 6 | 7 | 8 | class FormModule(tornado.web.UIModule): 9 | def render(self, country, lan, required, edit, company=None): 10 | with open("templates/modules/module_text/form.json") as json_file: 11 | form = json.load(json_file) 12 | with open("templates/modules/module_text/country_settings.json") as json_file: 13 | country_settings=json.load(json_file) 14 | return self.render_string( 15 | 'modules/form.html', 16 | c=company, 17 | country=country, 18 | country_settings=country_settings, 19 | lan=lan, 20 | required=required, 21 | edit=edit, 22 | form=form[lan][country], 23 | country_keys=country_keys, 24 | companyType = companyType[lan], 25 | full_time_employees=full_time_employees, 26 | revenueSource = revenueSource[lan], 27 | business_models = business_models[lan], 28 | social_impacts = social_impacts[lan][country], 29 | source_count = source_count, 30 | categories=categories[lan][country], 31 | data_types = data_types[lan][country], 32 | stateList = stateList, 33 | stateListAbbrev=stateListAbbrev 34 | ) 35 | 36 | class FormDataModule(tornado.web.UIModule): 37 | def render(self, country, lan, required, company=None): 38 | with open("templates/modules/module_text/formData.json") as json_file: 39 | form = json.load(json_file) 40 | return self.render_string( 41 | 'modules/formData.html', 42 | c=company, 43 | country=country, 44 | lan=lan, 45 | required=required, 46 | form=form[lan][country], 47 | source_count = source_count, 48 | data_types = data_types[lan][country], 49 | data_impacts = data_impacts[lan][country] 50 | ) 51 | 52 | class AgencyAddModule(tornado.web.UIModule): 53 | def render(self, country, lan, company=None): 54 | with open("templates/modules/module_text/agencyAdd.json") as json_file: 55 | form = json.load(json_file) 56 | tools = Tools() 57 | agency_list = tools.get_list_of_agencies(country) 58 | return self.render_string( 59 | 'modules/agencyAdd.html', 60 | c=company, 61 | country=country, 62 | agency_list = json.dumps(agency_list), 63 | lan=lan, 64 | form=form[lan][country] 65 | ) 66 | 67 | class AdminSettingsModule(tornado.web.UIModule): 68 | def render(self, country, lan, company=None): 69 | with open("templates/modules/module_text/agencyAdd.json") as json_file: 70 | form = json.load(json_file) 71 | return self.render_string( 72 | 'modules/adminSettings.html', 73 | c=company, 74 | country=country, 75 | lan=lan, 76 | form=form[lan]) 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | -------------------------------------------------------------------------------- /templates/mx/en/editCompany.html: -------------------------------------------------------------------------------- 1 | {% extends "../../main.html" %} 2 | {% autoescape None %} 3 | 4 | {% block body %} 5 | 8 | 9 |10 |
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{{ page_heading }}
15 | 23 |24 | 25 | {% module AgencyAdd(country, settings['default_language'], company) %} 26 | 27 | {#--*****************************************************************-SUBMIT BUTTON-***************************************************************** --#} 28 |
Open Data 100 Mexico
11 |About This Project
31 |As part of its Open Data policy, the Federal Government of Mexico is working in partnership with The GovLab at New York University to conduct the Open Data 100 Mexico. This is the first study of Mexican companies and NGO's that use open government data to generate new business, develop new products and services, and create social value.
32 | 33 |How To Participate
37 | 42 |2
44 |If you would like to recommend an Open Data company
45 |Please email us at DA100MX@datos.gob.mx.
46 |3
49 |If you have general information to share about open data in Mexico
50 |Join the Conversation, tweet your comments to #OD100MX, or email us at DA100MX@datos.gob.mx.
51 |10 |
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{{ page_heading }}
15 | 16 | 17 | 25 |26 | 27 | {% module AgencyAdd(country, settings['default_language'], company) %} 28 | 29 | {#--*****************************************************************-SUBMIT BUTTON-***************************************************************** --#} 30 |
{{ page_heading }}
7 | 8 |Acerca de la compañía
11 |URL: {% if company.url %}{{company.url}}{%else%}No disponible{%end%}
12 |Año de fundación: {% if company.yearFounded %}{{company.yearFounded}}{%else%}No disponible{%end%}
13 |Localización: {%if company.city %} {{company.city}}, {{company.state}}{%else%}{{company.state}}{%end%}
14 |Código postal: {%if company.zipCode %}{{company.zipCode}}{%else%}No disponible{%end%}
15 |Número de empleados a tiempo completo: {% if company.fte %} {{company.fte}}{%else%}No disponible{%end%}
16 |Tipo de compañía: {% if company.companyType %} {{company.companyType}}{%else%}No disponible{%end%}
17 |Categoría: {{company.companyCategory}}
18 |Fuentes de ingresos: {% if len(company.revenueSource) > 0 %}{% if company.revenueSource[0] %}{{ ", ".join(company.revenueSource) }}{%else%}No disponible{%end%}{%else%}No disponible{%end%}
19 |Áreas de impacto social: {% if len(company.socialImpact) > 0 %}{% if company.socialImpact[0] %}{{ ", ".join(company.socialImpact) }}{%else%}No disponible{%end%}{%else%}No disponible{%end%}
20 | {%if company.sourceCount == "NA" %}Número aproximado de fuentes de datos gubernamentales usadas: No disponible 21 | {% elif company.sourceCount %}
Número aproximado de fuentes de datos gubernamentales usadas: {{company.sourceCount}} fuentes de datos. 22 | {% else %}
Número aproximado de fuentes de datos gubernamentales usadas: No disponible{%end%}
23 |Descripción:
26 |{% if company.description %}{{company.description}}{%else%}No disponible{%end%}
27 |Fuentes de datos y entidades gubernamentales
30 | {% if company.agencies %} 31 | {%for a in company.agencies %} 32 |-
34 |
{%if a.url %}{{a.name}}{%else%}{{a.name}}{%end%}
35 | - {{ d.datasetName }} 41 | {% else %} 42 |
- {{ d.datasetName }} 43 | {% end %} 44 |
{{s.name}}
51 | - {{d.datasetName}} 55 | {%end%} 56 | {%end%} 57 |
-
39 | {% if d.datasetURL %}
40 |
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48 | {% for s in a.subagencies %}
49 | {% if company in s.usedBy %}
50 |
-
52 | {% for d in s.datasets %}
53 | {% if company == d.usedBy %}
54 |
None Available
67 | {% end %} 68 |71 | 72 | {% end %} 73 | -------------------------------------------------------------------------------- /templates/mx/en/company.html: -------------------------------------------------------------------------------- 1 | {% extends "../../main.html" %} 2 | {% autoescape None %} 3 | 4 | {% block body %} 5 | 6 |
{{ page_heading }}
7 | 8 |Acerca de la compañía
11 |URL: {% if company.url %}{{company.url}}{%else%}Not Available{%end%}
12 |Año de fundación: {% if company.yearFounded %}{{company.yearFounded}}{%else%}Not Available{%end%}
13 |Localización: {%if company.city %} {{company.city}}, {{company.state}}{%else%}{{company.state}}{%end%}
14 |Código postal: {%if company.zipCode %}{{company.zipCode}}{%else%}Not Available{%end%}
15 |Número de empleados a tiempo completo: {% if company.fte %} {{company.fte}}{%else%}Not Available{%end%}
16 |Tipo de compañía: {% if company.companyType %} {{company.companyType}}{%else%}Not Available{%end%}
17 |Categoría: {{company.companyCategory}}
18 |Fuentes de ingresos: {% if len(company.revenueSource) > 0 %}{% if company.revenueSource[0] %}{{ ", ".join(company.revenueSource) }}{%else%}Not Available{%end%}{%else%}Not Available{%end%}
19 |Áreas de impacto social: {% if len(company.socialImpact) > 0 %}{% if company.socialImpact[0] %}{{ ", ".join(company.socialImpact) }}{%else%}Not Available{%end%}{%else%}Not Available{%end%}
20 | {%if company.sourceCount == "NA" %}Número aproximado de fuentes de datos gubernamentales usadas: Not Available 21 | {% elif company.sourceCount %}
Número aproximado de fuentes de datos gubernamentales usadas: {{company.sourceCount}} Agencies/Local Governments/Organizations 22 | {% else %}
Número aproximado de fuentes de datos gubernamentales usadas: Not Available{%end%}
23 |Descripción:
26 |{% if company.description %}{{company.description}}{%else%}Not Available{%end%}
27 |Fuentes de datos y entidades gubernamentales
30 | {% if company.agencies %} 31 | {%for a in company.agencies %} 32 |-
34 |
{%if a.url %}{{a.name}}{%else%}{{a.name}}{%end%}
35 | - {{ d.datasetName }} 41 | {% else %} 42 |
- {{ d.datasetName }} 43 | {% end %} 44 |
{{s.name}}
51 | - {{d.datasetName}} 55 | {%end%} 56 | {%end%} 57 |
-
39 | {% if d.datasetURL %}
40 |
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48 | {% for s in a.subagencies %}
49 | {% if company in s.usedBy %}
50 |
-
52 | {% for d in s.datasets %}
53 | {% if company == d.usedBy %}
54 |
None Available
67 | {% end %} 68 |71 | 72 | {% end %} 73 | --------------------------------------------------------------------------------
