Open Life Science

Sharing. Connecting. Empowering

Find all the information about our community and projects at https://open-life-science.github.io.

Welcome!

First and foremost, Welcome! 🎉 Willkommen! 🎊 Bienvenue! 🙏 सुस्वागत (Suswagat)🎈🎈🎈

This document (the README file) is a hub to give you some information about the project. Jump straight to one of the sections below, or just scroll down to find out more.

What are we doing?

We are working to create a mentoring program for individuals interested in becoming ambassadors for Open Science practice, training and education in their communities.

Our outcome is to support early stage researchers and young leaders by sharing Open Science skills, connecting them to others in the community, and empowering them to become ambassadors for Open Science practice, training and education in their communities.

Who are we?

We are currently a team of 3 members who share a passion for Open Research and inclusiveness in Open Science.

As the graduates, mentors, and hosts of various Mozilla Open Leaders cohorts, we have gained expertise in the technical and culture track. Furthermore, we participate in a wide range of activities in different international communities of practice in the life sciences: ELIXIR (European bioinformatics network), Galaxy, The Carpentries, Software Sustainability Institute (SSI), Open Bioinformatics Foundation (OBF), and Mozilla.

What do we need?

You! In whatever way you can help.

We need expertise in open-science, training, mentoring, communication. We'd love your feedback along the way, and of course.

Get involved

If you think you can help in any of the areas listed above (and we bet you can) or in any of the many areas that we haven't yet thought of (and here we're sure you can) then please check out our contributors' guidelines and our roadmap.

Please note that it's very important to us that we maintain a positive and supportive environment for everyone who wants to participate. When you join us we ask that you follow our code of conduct in all interactions both on and offline.

How can I generate the website locally?

You need a ruby environment (version >= 2.4). Either you have it installed and you know how to install Bundler and Jekyll and then run Jekyll, or you use (mini-)conda, a package management system that can install all these tools for you. You can install it by following the instructions on this page: https://conda.io/docs/user-guide/install/index.html

In the sequel, we assume you use miniconda.

1. Open a terminal

2. Clone this GitHub repository:

   $ git clone https://github.com/open-life-science/open-life-science.github.io.git

3. Navigate to the open-life-science.github.io/ folder with cd

4. Set up the conda environment:

   $ make create-env

5. Install the project's dependencies:

   $ make install

6. Start the website:

   $ make serve

7. Open the website in your favorite browser at: http://127.0.0.1:4000/

Run the link checks

To avoid dead or wrong links, run the link checkers:

$ make check-html

Create a new blog post

To create a new blog post:

1. Create a file in the folder _posts with a file named following the pattern yyyy-mm-dd-name.md

2. Add some metadata on the top of the file

   ---
   layout: post
   title: <title of the post>
   author: <github id of the author>
   image: images/yyyy-mm-dd-name.jpg
   ---

3. Add content of the post in the file in Markdown

4. Add images in images/posts/

Add someone as mentor, expert or organizer

Add someone to the list of people:

1. Open the _data/people.yaml file
2. Create a new entry there (using the GitHub id, or firstname-lastname if no GitHub id) following the alphabetical order
3. Fill in information using the tags:
   • first-name (mandatory)
   • last-name (mandatory)
   • twitter
   • email
   • website
   • gitter
   • orcid
   • affiliation
   • city
   • country (mandatory)
   • pronouns
   • expertise
   • bio

Add the person to their corresponding list to be visible on the website:

• If they are a participant for a cohort, add their GitHub id with their project to _data/ols-n-projects.yaml
• If they are a potential mentor for a cohort, add their GitHub id in the _data/ols-n-metadata.yaml
• If they are an expert for a cohort, add their GitHub id in the _data/ols-n-metadata.yaml
• If they are a speaker for a cohort, add their GitHub id with their talk details in _data/ols-n-schedule.yaml

Add many people in a row to _data/people.yaml:

1. Create a CSV file with at least the following columns (named this way):

   • First name
   • Last name
   • Email
   • Github username
   • Twitter username
   • Website
   • ORCID
   • Affiliation
   • City
   • Country
   • Pronouns
   • Areas of expertise (1 element per line)
   • Bio

   A form like this one can be used to generate such csv

2. Get a copy of the CSV file at the root of this folder

3. Activate the conda environment

   $ source activate open-life-science-website

   Or alternatively, get locally:

   • Python 3.*
   • pyyaml
   • pandas

4. Run the script which extract information from the CSV file and add them to _data/people.yaml

   $ python bin/prepare_website_data.py extractpeople -i <path to csv file>

Add a partner/sponsor

1. Open the _data/partners.yaml file
2. Create a new entry there (using the name in lowercase, with spaces replaced by -) following an alphabetical order
3. Fill in information using the tags:
   • name
   • website
   • description
4. Add a logo (if possible) named as the entry in images/partners folder
5. Add the path to the logo in _data/partners.yaml using logo tag

Update schedule for a cohort

The schedule displayed in a cohort page is automatically generated from a file _data/ols-n-schedule.yaml.

In this file, for each week, it is listed the timeframe and the different calls planned. For each call, several information are given:

• type: Mentor-Mentee, Cohort, Mentors or Coworking
• duration in min
• title
• date in the format Month Day, Year
• time in the format '14:00' and for Berlin time
• calendar-event: link to calendar event
• agenda: tldr
• notes: link to notes
• recording: link to recording
• content with details of the content written in Markdown
• before with tasks to do before as a list written in Markdown
• after with tasks to do after as a list written in Markdown
• resources: list of useful resources with for each of them:
  • type: slides, document, or external-link
  • title
  • speaker: username in _data/people.yaml, if slides
  • link

Update schedule automatically

1. Create a spreadsheet or CSV with columns:

   • Week
   • Start Date
   • Start Time
   • End Date
   • Duration
   • Title
   • Type
   • Learning objectives
   • Slides
   • Confirmed speaker
   • Note link
   • Recording
   • Hosts
   • Facilitators
   • Before
   • After

2. Adapt the script in bin/update_schedule.sh with cohort id and link to CSV export of the spreadsheet

Order experts and possible mentors by expertise areas

In metadata file for cohort, experts and possible mentors can be ordered by expertise area to be display in cohort page given these areas.

To order them:

1. Activate the conda environment

   $ source activate open-life-science-website

   Or alternatively, get locally:

   • Python 3.*
   • pyyaml
   • pandas

2. Run the script which sort expertise and save information in metadata file

   $ python bin/prepare_website_data.py sortexpertises -c <cohort id>

Add projects

1. Create a CSV file with for each project the following information

   • Title
   • Mentor 1
   • Authors
   • Project-description
   • Comment regarding review (with rejected if needed)
   • Keywords

2. Create a CSV file with participant information (similar as the one needed to add new people) with an extra column with project name

3. Activate the conda environment

   $ source activate open-life-science-website

   Or alternatively, get locally:

   • Python 3.*
   • pyyaml
   • pandas

4. Run the script which extract project information from a CSV file and add them in project file

   $ python bin/prepare_website_data.py addprojects \
     -c <cohort id> \
     -p <path to csv file with projects> \
     -i <path to csv file with participants> \
     -l <path to log file>

Add events to Google calendar

1. Create CSV file with

   • Week
   • Type
   • Optional
   • Subject
   • Start Date
   • Start Time
   • End Date
   • Duration
   • End Time
   • All Day Event
   • Note link
   • Description

2. Add events to Google calendar

Create files for a new cohort

1. Activate the conda environment

   $ source activate open-life-science-website

   Or alternatively, get locally:

   • Python 3.*
   • pyyaml
   • pandas

2. Run the script which create new cohort files

   $ python bin/prepare_website_data.py createcohort \
     -c <cohort id> \

3. Update _config.yml file to add new cohort in collection