Quality Control & Data Management
The BINA Quality Control and Data Management Working Group (QC-DM WG) was created to help drive the North American and international imaging communities’ efforts to improve the reproducibility, comparability, downstream analysis and re-use of image data through rigorous record-keeping, quality control, and data management.
As such the QC-DM WG will concentrated its efforts in two directions:
- Work in close connection with similar global efforts to generate shared guidelines and usable tools to facilitate the quantitative assessment and calibration of microscope performance, rigorous record-keeping of image acquisition conditions, and management of data in a manner that facilitates connecting resulting imaging dataset with metadata describing its “provenance.”
- Work in close connection with the BINA Training and Education and Communications Working Groups to promote the dissemination of emerging best practices to the entire imaging community in North America and at large.
Resources
The Automated Image Management and Metadata Annotation (AIMM) User Group is currently led by QCDM WG members: Caterina Strambio De Castillia & Judith Lacoste. Visit the webpage for more details!
Presentation at the BINA 2022 Community Congress from the QCDM Working Group.
Presentation and Session organized by the BINA Quality Control & Data Management WG at the BINA2024CC
This resource links to the recording of the presentation portion of the BINA Community Conversation in January 2022, hosted by the Quality Control and Data Management Working Group (QCDM WG). Each of the presenters shared about an article from the December 2021 FOCUS issue of Nature Methods on Reporting and Reproducibility (https://www.nature.com/collections/djiciihhjh). You can find a summary of the session and resources shared here, and a summary of the audience polls conducted at this Conversation were shared on zenodo.
This recent article in Zenodo from a cooperation between BINA’s Quality Control and Data Management Working Group and a number of other international initiatives, shares their vision to expedite the establishing and adoption of metadata standards through community and vendor collaboration.
Grunwald, D., Moore, J. and Strambio-De-Castiliia, C. (2024) Enabling data interpretability and reuse in light microscopy through consensus building, community engagement, and a next-generation metadata framework. Zenodo. doi: 10.5281/zenodo.11639719.
Published Paper from the QUAREP-LiMi WG 12 – The author list includes many of our QCDM members!
Congratulations to the Quality Control & Data Management (QCDM) Working Group, Quality Assessment and Reproducibility for Instruments & Images in Light Microscopy (QUAREP-LiMi) initiative and all the participating BINA members for producing the amazing collection of articles featured in the December Focus issue of Nature Methods!
The white paper on “Harmonizing the Generation and Pre-publication Stewardship of FAIR Image Data” coordinated by BINA, in collaboration with members of the bioimaging community from across the world, is available on https://arxiv.org/abs/2401.13022. This paper is a companion to: “Enabling Global Image Data Sharing in the Life Sciences”, also on arXiv https://arxiv.org/abs/2401.13023
Editorial article featured by Nature Methods in the June 2022 issue, discussing the headway made on standards for imaging and microscopy by the QC-DM BINA working group in collaboration with QUAREP-LiMi and other international organizations.
Quality Control and Data Management Working Group video update from the LABIxBINA 2023 Conference.
The BINA QCDM WG is working on a metrology suitcase program for the North American region
Editorial article featured by Nature Methods in the December 2021 issue, profiling the work conducted by the QC-DM BINAworking group in collaboration with QUAREP-LiMi and other international organizations to bring people together to build consensus around Microscopy Standards.
Editorial article featured by Nature Methods in the June 2022 issue, discussing the efforts carried out by QUAREP-LiMi’s WG2 on Detection Systems Performance and WG7 on Metadata in collaboration with representatives from major global camera manufacturers (i.e., Andor, Hamamatsu, Leica, Nikon, Olympus, PCO, Scientifica, Teledyne Photometrics, and Zeiss) to standardize the metadata information provided by manufacturers about cameras.
Members
Alumni