[Dataset] Does Volunteer Engagement Pay Off? An Analysis of User Participation in Online Citizen Science Projects - Raw Data

Explanation/Overview:

Corresponding raw data for the analyses described in D3.3 (can be found here), which are the result of our research that culminated into the publication "Does Volunteer Engagement Pay Off? An Analysis of User Participation in Online Citizen Science Projects", a conference paper for the conference CollabTech 2022: Collaboration Technologies and Social Computing and published as part of the Lecture Notes in Computer Science book series (LNCS,volume 13632) here. Usernames have been anonymised.

The raw data is in the .json format and can be read by most languages/tools. It is recommended to import the data into a MongoDB to work with it.

Purpose:

The purpose of this dataset is to provide the basis for possible further examinations, involving additional (not yet analysed) features such as the content of the comments etc. and also new ways of extracting networks.

Relatedness:

The data of the different projects was derived from the forums of 7 Zooniverse projects based on similar discussion board features. The projects are: 'Galaxy Zoo', 'Gravity Spy', 'Seabirdwatch', 'Snapshot Wisconsin', 'Wildwatch Kenya', 'Galaxy Nurseries', 'Penguin Watch'.

Content:

The dataset contains three files:

• Comments.json
  • contains the basic data representation with multiple fields (e.g., time_created, user_login). Each data field represents a comment.
• Discussions.json
  • contains all discussions. Each data field is a discussion, with multiple fields (e.g., comments_count, user_login)
• Projects.json
  • contains all projects. Each data field is a project, with multiple fields (e.g., project_id, description)

Grouping:

The projects (and thus the corresponding discussions and comments) were collected on the basis of common forum features such as the discussion boards.