more links (#1)

README.md

@@ -17,9 +17,11 @@
 
 The present repository showcases the organization
 of a Zooniverse campaign using ChildProject and DataLad.
+[Zooniverse](https://www.zooniverse.org/about) is a crowd-sourcing platform
+that may be used for large-scale annotation tasks. The [ExElang book](https://laac-lscp.github.io/exelang-book/humanannotation.html) provides examples of research goals for which Zooniverse may be useful.
 
-This campaign requires citizens to listen to 500 ms audio clips
-and to perform the following tasks:
+The present campaign requires citizens to listen to 500 ms audio clips
+and then to perform the following tasks:
 
 1. Decide whether they hear speech from either a Baby, a Child, an Adolescent, an Adult, or no speech.
 2. Guess the gender of Adolescent or Adult speakers.
@@ -27,20 +29,21 @@ and to perform the following tasks:
 
 ### Workflow
 
-1. We used [DataLad](https://joss.theoj.org/papers/10.21105/joss.03262) to manage this campaign.
+1. We used [DataLad](https://joss.theoj.org/papers/10.21105/joss.03262) to manage this campaign. (See the installation instructions [here](http://handbook.datalad.org/en/latest/intro/installation.html#install).)
 2. The primary dataset (containing the audio and the metadata)
-was included in this repository as a subdataset. It was structured according to ChildProject's standards.
-3. [ChildProject](https://childproject.readthedocs.io/en/latest/) was used to generate the samples, to upload the audio chunks to zooniverse, and to retrieve the classifications.
+was included in this repository as a subdataset. It was structured according to [ChildProject's format](https://childproject.readthedocs.io/en/latest/format.html).
+1. [ChildProject](https://childproject.readthedocs.io/en/latest/) was used to generate the samples, to upload the audio chunks to zooniverse, and to retrieve the classifications. (See the installation instructions [here](https://childproject.readthedocs.io/en/latest/install.html).)
 
 This repository contains all the scripts that we used to implement this workflow.
 You are welcome to re-use this code and adapt it to your needs.
 
+
 ### Repository structure
 
  - `annotations` contains annotations built from the classifications retrieved from Zooniverse.
  - `classifications` contains the classifications retrieved from Zooniverse.
  - `samples` contains the samples that were selected as well as the chunks generated from them.
- - `vandam-data` is a subdataset containing VanDam Daylong corpus, structed according to ChildProject's standards.
+ - `vandam-data` is a subdataset containing VanDam Daylong corpus, structed according to [ChildProject's format](https://childproject.readthedocs.io/en/latest/format.html) — this is very important as it allows to use all the features of ChildProject that will be used next.
 
 ## Preparing samples
 
@@ -90,8 +93,9 @@ See [ChildProject's documentation](https://childproject.readthedocs.io/en/latest
 Once the chunks have been extracted, the next step is to upload them to Zooniverse.
 Note that due to quotas, it is recommended to upload only a few at time (e.g. 1000 per day).
 
-You will need to provide the numerical id of your Zooniverse project;
-you will also need to set Zooniverse credentials as environment variables:
+You will need to provide the numerical id of your Zooniverse project. Instructions to create a Zooniverse project are available [here](https://help.zooniverse.org/getting-started/).
+
+You will also need to set Zooniverse credentials as environment variables:
 
 ```bash
 export ZOONIVERSE_LOGIN=""