1. Description

The purpose of this study:
Preclinical imaging research is experiencing the production of vast amount of data that cannot be fully searched, found and exploited for new purposes, because of the lack of proper metadata description. The aim of this study is to develop a standardized metadata list (PRISM: PReclinical Imaging Standardized Metadata) to comprehensively describe in full details preclinical image datasets. This set of metadata is built upon previous work of the imaging communities, specifically including recommendations from the REMBI model [Nat Methods 18, 1418–1422 (2021). https://doi.org/10.1038/s41592-021-01166-8] and from the ARRIVE guidelines 2.0 [https://arriveguidelines.org/] and then focusing on the peculiarity of the multi-disciplinary domains of the preclinical imaging field.
Primary Objectives:
  • To develop a standardized metadata list for preclinical imaging studies
  • To make in vivo image datasets compliant with the FAIR (findable, accessible, interoperable and reusable) principles [Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18].
  • To improve the findability and the reusability of these data.
  • To enhance reproducibility and to align with the 3Rs Principles.
Procedures:
If you agree to participate, you will be asked to complete an online survey that will take approximately 20 minutes.
The PRISM metadata model (hence the survey) is composed of the following sections, with some of them including additional subsections:
  1. Study design
  2. Study component
  3. IVEP (in vivo experimental parameters)
  4. Experimental procedures
  5. Image acquisition
  6. Image data
  7. Image correlation
  8. Analyzed data



    You will be asked to select for each section which metadata should be considered “Mandatory” or “Optional”. Overall, ca. 200 metadata have been initially selected for providing enough detail for describing preclinical image datasets.
Confidentiality:
We guarantee that all responses will be treated as confidential and used solely for research purposes.
We will strictly comply with all applicable laws, including the General Data Protection Regulation (GDPR), to ensure the confidentiality of any personal information disclosed.
All results will be analyzed in aggregate form only, and no responses will be linked to individual participants.
By submitting your responses, you indicate your consent to participate in this survey.
Participation in this research is voluntary.
You have the right to withdraw at any time during the survey, for any reason, without any consequences.
Leading Institution:
EuroBioImaging-Medical Hub / Institute of Biostructures and Bioimaging, National Research Council of Italy

This survey is run by the FoundingGIDE project (GA #101130216) - Preclinical Stream - with equal contribution of:

Peter Bugeia (ANIF / Univ. of Queensland, Australia), David Poger and Ryan Sullivan (Univ. of Sydney, Australia), Yuki Yamagata and Koji Kyoda (RIKEN, Japan), Susanne Vainio, Sudeep Das and Aastha Mathur (Euro-BioImaging), Kranthi Thej Kandula, Francesco Gammaraccio and Linda Chaabane (CNR-IBB, Italy)
Principal Investigator for the study:
Dario Longo - National Research Council of Italy (CNR), Institute of Biostructures and Bioimaging (IBB), Torino, Italy
Funding:
This research was funded by the European Union’s Horizon Europe research and innovation programme under grant agreement number 101130216 – FoundingGIDE project.
Contact:
 preclinicaldata@eurobioimaging.eu

Question Title

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Consent Statement:
We kindly ask you to provide your personal information (full name, country, and e-mail address) for purposes related to scientific validation and possible follow-up communication regarding the results. Partial responses are saved and can be resumed. Data will be stored securely and analyzed in aggregate form only.

By completing this form, you consent to the processing of your personal data as outlined in the privacy policy.

 
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