Table 3.

Recommended approaches for sharing project outputs. Online citizen science projects for the analysis of biological volumetric data can result in a diverse selection of project outputs that should be openly shared in a timely manner

Project output example	Recommendations	Possible venues
Raw image data e.g., www.ebi.ac.uk/pdbe/emdb/empiar/entry/10094	Large, complex data sets should be deposited in a public image archive to enable access.	$\bullet$ Electron microscopy public image archive (EMPIAR; www.ebi.ac.uk/pdbe/emdb/empiar) $\bullet$ Image Data Resource (IDR, idr.openmicroscopy.org) $\bullet$ BioImage Archive (www.ebi.ac.uk/bioimage-archive) $\bullet$ BioStudies database (www.ebi.ac.uk/biostudies) $\bullet$ Cell centered database (library.ucsd.edu/dc/collection/bb5940732k) $\bullet$ Nanotomy (www.nanotomy.org) $\bullet$ OpenOrganelle (openorganelle.janelia.org) $\bullet$ WormAtlas (www.wormatlas.org/index.html)
Raw contributor data e.g., www.ebi.ac.uk/biostudies/files/S-BSST448/classifications.tar.gz e.g., www.ebi.ac.uk/biostudies/files/S-BSST448/Expert	Sensitive fields should be removed from the classification export prior to sharing. Sharing contributions as a spreadsheet rather than binary masks will reduce the digital footprint. A disclaimer should be provided if the data may contain offensive classifications. Relevant data contributed by experts should also be shared.	$\bullet$ GitHub (www.github.com) $\bullet$ Biostudies (www.ebi.ac.uk/biostudies)
Aggregated contributor data e.g., www.ebi.ac.uk/biostudies/files/S-BSST448/Aggregations	The mode of data aggregation should be carefully communicated in conjunction with aggregated contributor data. Data may be shared within a spreadsheet via a binary mark.	$\bullet$ GitHub (www.github.com) $\bullet$ Biostudies (www.ebi.ac.uk/biostudies)
Aggregation code e.g. www.github.com/FrancisCrickInstitute/Etch-a-Cell-Nuclear-Envelope	Aggregation algorithms should be shared for re-use.	$\bullet$ GitHub (www.github.com)
Machine learning code and data e.g. www.github.com/FrancisCrickInstitute/Etch-a-Cell-Nuclear-Envelope e.g. www.ebi.ac.uk/biostudies/files/S-BSST448/Predictions	The accessibility of any shared code for the intended end-user should be considered.	$\bullet$ GitHub (www.github.com) $\bullet$ BioImage Model Zoo (www.bioimage.io) $\bullet$ ZeroCostDL4Mic (www.github.com/HenriquesLab/ZeroCostDL4Mic) $\bullet$ Model Zoo (www.modelzoo.co) $\bullet$ Jupyter notebooks
Microscopy protocols	Version control should be carefully applied to ensure precise information is captured for each iteration of an experiment.	$\bullet$ Protocols.io (www.protocols.io)