Invitation to contribute, review! See the article open pad here.
The ‘Citizen Science for Research Libraries – A Guide’ is looking for input on a short article for inclusion in the book section to be published Oct 2021 by the LIBER Citizen Science Working Group.
Contact: Co-editor-in-chief, Simon Worthington, TIB, email@example.com @mrchristian99
Section editor Kirsty Wallis, Head of Research Liaison | Office for Open Science and Scholarship Coordinator, UCL Library Services.
Scope of the contribution
A short instructional step-by-step guide; 800 words, 5,000 characters; Open Access CC BY 4.0; DOI will be supplied for finished article in the publication.
For guidance see the example of page 28-29 of the ASU/SciStarter guide for public libraries The Library & Community Guide to Citizen Science. This is the article format we are aiming at.
About the book
The audience for the book is librarians and other support staff that are interested in organising and supporting Citizen Science, so it needs to be aimed at a beginner audience. This Infrastructure section is showcasing projects that are based on common library infrastructures or ones easily available to them.
As much any anything we want to give them ideas and starting points so they can help researchers who come to them with a Citizen Science project plan and of how to extend or conceptualise the repurposing of infrastructures at hand.
Ideas to be included in the article
- Learning outcomes: How to cite software used in a project; and how to cite contributions to software by project participants
- Point to Step-by-step guide on GitHub software citation and summarise
- What is software citation: ‘papers are not the only units of scientific production/knowledge’ – Paola Masuzzo
- Connecting infrastructures: GitHub, Zenodo, DOI, Software Heritage
- Context for Citizen Science: micro computing; hobby computing; sensors, and; home IoT, health, fitness sensing, maker spaces, etc.
- Citing small parts, fast moving – e.g., paper – Formal Acknowledgement of Citizen Scientists’ Contributions via Dynamic Data Citations
- Learning, rewards, incentives for participants