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#! /bin/bash
#
# Base server that sets a root SSH key and disables password auth. Used by me for Ansible-based deploys.
# <UDF name="HOSTNAME"          Label="Hostname" />
# <UDF name="USERNAME"          Label="Username" />
# <UDF name="PASSWORD"          Label="Password" />
# <UDF name="SSH_KEY"           Label="SSH Key" />
# <UDF name="FQDN"              Label="Domain Name">

source <ssinclude StackScriptID=46109>

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Dribdat is an open platform for data-driven team collaboration, such as Hackathons. It works as a website and project board for running exciting, productive events..with Impact Factor. The platform allows organisers and participants to aggregate project details from multiple sources (Markdown, Wikis, GitHub, Bitbucket), display challenges and projects, reuse the data, plug in community tools like Discourse, Slack, Let's Chat, and chatbots to enhance the hackathon.

---

{ hacknight challenges }

Yes, Dribdat is the website you see running here. Just [create an account](/register) to login, and add a project you are working on - or join an existing one as team member. Find out how projects are sync'ed and scored for bonus points.

Read the Documentati

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# To use this, add to the ~/.config/fish/ directory and source them from 
# the end of the ~/.config/fish/config.fish file:
#
#      source $HOME/.config/fish/conda.fish
#
# set this to YOUR anaconda/miniconda path:
set CONDAHOME $HOME/miniconda3/envs

function condalist -d 'List conda environments.'
  for dir in (ls $CONDAHOME)

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install.packages("ckanr")
library('ckanr')

# Initialise the CKAN library with a remote portal
ckanr_setup(url = "https://opendata.swiss")

# Run a search to get some data packages
x <- package_search(q = 'name:arbeitslosenquote', rows = 1)

# Note that on the Swiss server the titles are multilingual

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Description:

At the «Open Food Data Hackdays» diverse food-interested actors, including big data specialists, software engineers, nutrition experts, farmers, app designers, students and entrepreneurs, are united. This potential is combined with publicly available data on the production, movement, consumption and impact of food, in order to enable groundbreaking projects.

Guide to datasets:

# Data resources

We are preparing a [collection of data packages](https://openfood.schoolofdata.ch) for use at the Hackdays. At the Hackdays, you are free to use these, your own, or other data - just remember to always properly **attribute your sources** and respect each license. Be aware of the Terms of Use before you dig in. Your experience and support will help us to open more data according to the [Open Definition](http://opendefinition.org/) and [open licenses](http://licenses.opendefinition.org/)! 

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