Staff Acknowledgements

• Guidelines for Acknowledgement

  • All publications resulting from the use of instruments within the facility should acknowledge the facility.

  • Specific grants that have funded the facility instruments used for the work to be published must be acknowledged if the data was acquired during the active period of the grant.

  • Assistance provided above the technical or routine level, with any facility staff providing scientific input and expertise in experimental set-up, acquisition and analysis, being recognised through co-authorship on resulting publications.

  • Relevant guidance from the University of Liverpool on when and how to acknowledge the facility and/or its staff can be found on the UoL intranet [Fair Attribution Guidelines for Technical & Specialist Support]. Any Shared Research Facility that has produced data for a publication should be linked to the paper, however users will need to manually create the “Relationship” in Elements. There is a guidance document on the Elements intranet that provides step-by-step instructions. Relationships can be added in Elements for historic publications as well as any new papers.

• Example Scenarios

  Making your microscopy image data publicly available offers several benefits, it fosters reproducibility and transparency, enables collaboration and knowledge sharing, accelerates scientific progress, increases visibility and impact and meets funding agency requirements.

  • Sample Preparation	Routine sample preparation following standard protocol. "We would also like to thank [Tom Waring/Marco Marcello/Marie Held/Lucy Isherwood] for [technical assistance/help with experimental design/image analysis support]."	Simple acknowledgement. "We acknowledge the Liverpool Centre for Cell Imaging (CCI) for provision of imaging equipment and technical assistance."
    	Development of new sample preparation protocols. Optimisation of existing protocols for specific samples.	Inclusion of specific facility member on author list
    Image Acquisition	Training of users to acquire images themselves. Simple acquisition of raw data.	Simple acknowledgement.
    	Operational image acquisition with input and decisions dependant on expertise. Design or re-design of experimental conditions.	Inclusion of specific facility member on author list.
    Image Analysis	Recommendation of analysis software and tools. Basic data analysis help and advice.	Simple acknowledgement.
    	Constructive data analysis and interpretation. Creation of complex custom image analysis tool.	Inclusion of specific facility member on author list.

FAIR - Findable, Accessible, Interoperable, Reusable

• The FAIR principles

  • Findable:
    Data and resources should be easy to find for both humans and machines. This involves using metadata and unique identifiers to enable discovery.

  • Accessible:
    Data and resources should be accessible to both humans and machines, ensuring they can be retrieved and accessed with minimal barriers.

  • Interoperable:
    Data and resources should be interoperable, meaning they can be integrated and combined with other data and resources regardless of the platform or system they originate from.

  • Reusable:
    Data and resources should be reusable, meaning they can be used for different purposes beyond the scope of their initial creation. This involves clear licensing and usage terms, as well as providing sufficient context and documentation for understanding and interpreting the data.

  • These principles aim to enhance the usability and impact of data and resources across different domains, facilitating data sharing, collaboration, and innovation. The CCI as well as the University of Liverpool promote the adherence to FAIR principles.

• Image data repositories

  Making your microscopy image data publicly available offers several benefits, it fosters reproducibility and transparency, enables collaboration and knowledge sharing, accelerates scientific progress, increases visibility and impact and meets funding agency requirements.

  • Zenodo

  • Figshare

  • Dryad

  • Bioimage Archive

  • Image Data Resource

  • Liverpool CCI OMERO Public Gallery

  • EMPIAR - Electron Microscopy Public Image ARchive

  • PIDAR - Preclinical Image DAtaset Repository

  • Broad Bioimage Benchmark Collection

  • The Cell Painting Gallery

  • University of Liverpool Data Catalogue

  • 

• Code repositories

  Online code repositories are web-based platforms where developers can store, manage, and collaborate on their code projects. These repositories provide version control systems, such as Git or Mercurial, allowing developers to track changes to their code, collaborate with others, and maintain a history of their project's development. These platforms offer various features, such as issue tracking, code review, and project management tools, to facilitate collaboration and streamline the development process.

  • Github

  • Bitbucket

Background Reading/Watching

• Microscopy

  Carl Zeiss Microscopy Online Campus

  Nikon MicroscopyU knowledge repository

• Figure making best practice

  • Community-developed checklists for publishing images and image analyses

  • Figure Making Best Practices – Checklists & Demo (hosted by the BINA Early Career Working Group and QUAREP-LiMi Working Group 12)

• Fluorescent proteins and dyes

  • Fluorescent protein database including spectra.

  • Fluorescence SpectraViewer - Thermo Fisher Scientific

© Liverpool Centre for Cell Imaging