Working groups

LIBER Citizen Science Working Group

Citizen Science for Research Libraries – A Guide

The LIBER Citizen Science Working Group is pleased to announce the Citizen Science for Research Libraries – A Guide, which is to be released incrementally in sections before the end of 2021 and as a peer-reviewed Open Access publication.

Read more about this publication below.

Mission Statement

The guide is designed to be a practical and compact gateway publication for the purpose of assisting research libraries to start setting up a Citizen Science programme.

Citizen Science for research libraries is a way to build new and more engaged audiences as a way to establish new links between science and society.

The guide will address the unique context of research libraries – as becoming the ‘go to place’ for the new and exciting Open Science data world that is opening up to the wider public.

As a starting point, the guide will use four recommendations for Citizen Science from the LIBER Open Science Roadmap: infrastructures; good scientific practice; guidelines, and; skilling.


The content will be organised around the following four main sections and release in sequential modules for reuse:

  1. Skills: Citizen Science skills development for staff, researchers, and the public – section editor Jitka Stilund Hansen, Technical University of Denmark (release date July 2021).
  2. Infrastructures: As being active in the development of infrastructure for researchers to carry out Citizen Science – section editor Kirsty Wallis, University College London (release date Sept 2021).
  3. Good [open] scientific practice: as managing bodies around knowledge libraries that can translate good [Open Science] scholarly practice into new Citizen Science fields – section editor Bastian Greshake Tzovaras, Open Humans Foundation (release date Sept 2021).
  4. Guidelines: develop guidelines for Citizen Science activities involving the library – section editor Paul Ayris, University College London (release date Nov 2021).



Simon Worthington ORCID iD: 0000-0002-8579-9717 | and

Thomas Kaarsted ORCID iD: 0000-0001-6796-5753

Editorial Committee

Paul Ayris (Chair) ORCID iD: 0000-0002-6273-411X;

Bastian Greshake Tzovaras ORCID iD: 0000-0002-9925-9623;

Jitka Stilund Hansen ORCID iD: 0000-0002-5888-1221, and;

Kirsty Wallis ORCID iD:0000-0002-9570-6174 .


The book is intended as a short guide and will be approximately one hundred pages in length. The publication will be produced as multi-format and multi-channel (print-on-demand, PDF, Webbook, website, eBook, and as a Jupyter Book – and will be technically designed for reuse, for example in – community translations or in MOOCs.

Book sections will be released incrementally as they are ready. Ideally, the book will become a community-owned publication with regular updates.


We would like to acknowledge The Library & Community Guide to Citizen Science published by SciStarter as an inspiration for the idea for our publication. Additionally, The Turing Way from the Alan Turing Institute is worth mentioning as a community model of open science publishing that we look to emulate.

An Open Science publication

The publication will be produced as an Open Access publication and use Open Science practices – where appropriate – to ensure the research is open and as reusable as possible, including: open data, open standards, PIDs, open peer review, open source software, and open methods, etc.

© 2021 the authors. All content licensed Creative Commons: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0), unless otherwise stated.

Publication source:


Ayris, Paul, Bernal, Isabel, Cavalli, Valentino, Dorch, Bertil, Frey, Jeannette, Hallik, Martin, Hormia-Poutanen, Kristiina, et al. “LIBER Open Science Roadmap”. Zenodo, July 2, 2018. doi: Page 29.

Cavalier, Darlene, Caroline Nickerson, Robin Salthouse, and Dan Stanton, eds. The Library & Community Guide to Citizen Science. SciStarter, 2020 (Revised 2021).

Arnold, Becky, Louise Bowler, Sarah Gibson, Patricia Herterich, Rosie Higman, Anna Krystalli, Alexander Morley, Martin O’Reilly, Kirstie Whitaker, and The Turing Way Community. The Turing Way: A Handbook for Reproducible Data Science, 2019.