{ "version": "https://jsonfeed.org/version/1.1", "title": "chem-bla-ics", "description": "Chemblaics (pronounced chem-bla-ics) is the science that uses open science and computers to solve problems in chemistry, biochemistry and related fields.", "home_page_url": "https://chem-bla-ics.linkedchemistry.info/", "feed_url": "https://chem-bla-ics.linkedchemistry.info/2024/06/10/linking-fair-to-reuse.json", "icon": "https://chem-bla-ics.linkedchemistry.info/assets/images/chem-bla-ics_logo.png", "language": "en", "authors": [ { "name": "Egon Willighagen", "url": "https://orcid.org/0000-0001-7542-0286", "_orcid": "0000-0001-7542-0286" } ], "items": [ { "id": "https://doi.org/10.59350/b4tm0-s7c62", "url": "https://chem-bla-ics.linkedchemistry.info/2024/06/10/linking-fair-to-reuse.html", "title": "New paper: FAIR assessment of nanosafety data reusability with community standards", "content_html": "

Ammar is finishing up his PhD thesis with his\nresearch on the use of FAIR towards predictive toxicology. Or, “AI ready”, as the term FAIR is now sometimes explained.\nAny computational method needs good data, and just FAIR is not enough. It needs to meet community standards, as formalized\nin R1.3. To me, this includes meeting community standards like minimal reporting standards. Indeed, in the\nEU NanoSafety Cluster the notion that FAIR data also needs be scientifically\ngood data is well noted.

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In this paper (doi:10.1038/s41597-024-03324-x),\nAmmar explores this notion and compiled more than 200 maturity indicators in the category R1.3\nresulting from 12 different community standards. For example, this includes minimal reporting standards. There\nis overlap in needs, but they often also have a different focus. The conclusion here: different (re)use cases\nhave different needs, and data not usable to one use case can be sufficiently FAIR for another. Of course, ideally,\nit would be FAIR enough for all use cases.

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Ammar formalizes the maturity indicators and links the comming maturity indicators to various use cases.\nThat means that when you determine the indicator values for your data, people can immediately lookup how\nthis data can be reused. And, the generator of the data can immediately see how the data would need to be\nimproved to widen the reusability. How FAIR can we get?

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His proposal has already been further explored in two other papers, one around data sharing\n(doi:10.1038/s41596-024-00993-1, see also\nthis blog post) and one around QSAR modelling\n(doi:10.1016/j.impact.2023.100475,\nsee also this blog post).

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The below screenshot shows what an analysis using this approach can look like:

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References

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Ammar, A., Evelo, C., & Willighagen, E. (2024). FAIR assessment of nanosafety data reusability with community standards. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03324-x CrossRef Scholia
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Furxhi, I., Willighagen, E., Evelo, C., Costa, A., Gardini, D., & Ammar, A. (2023). A data reusability assessment in the nanosafety domain based on the NSDRA framework followed by an exploratory quantitative structure activity relationships (QSAR) modeling targeting cellular viability. NanoImpact, 31, 100475. https://doi.org/10.1016/j.impact.2023.100475 CrossRef Scholia
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Jeliazkova, N., Longhin, E., El Yamani, N., Rundén-Pran, E., Moschini, E., Serchi, T., Vrček, I. V., Burgum, M. J., Doak, S. H., Cimpan, M. R., Rios-Mondragon, I., Cimpan, E., Battistelli, C. L., Bossa, C., Tsekovska, R., Drobne, D., Novak, S., Repar, N., Ammar, A., … Dusinska, M. (2024). A template wizard for the cocreation of machine-readable data-reporting to harmonize the evaluation of (nano)materials. Nature Protocols, 19(9), 2642–2684. https://doi.org/10.1038/s41596-024-00993-1 CrossRef Scholia
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", "summary": "Ammar is finishing up his PhD thesis with his research on the use of FAIR towards predictive toxicology. Or, “AI ready”, as the term FAIR is now sometimes explained. Any computational method needs good data, and just FAIR is not enough. It needs to meet community standards, as formalized in R1.3. To me, this includes meeting community standards like minimal reporting standards. Indeed, in the EU NanoSafety Cluster the notion that FAIR data also needs be scientifically good data is well noted.", "image": "https://chem-bla-ics.linkedchemistry.info/assets/images/41597_2024_3324_Fig3_HTML.png", "date_published": "2024-06-10T00:00:00+00:00", "date_modified": "2024-06-10T00:00:00+00:00", "tags": ["fair","toxicology","qsar"], "_references": [ { "url": "https://doi.org/10.1038/S41597-024-03324-X", "doi": "10.1038/S41597-024-03324-X" } , { "url": "https://doi.org/10.1016/J.IMPACT.2023.100475", "doi": "10.1016/J.IMPACT.2023.100475" } , { "url": "https://doi.org/10.1038/S41596-024-00993-1", "doi": "10.1038/S41596-024-00993-1" } ], "authors": [ { "name": "Egon Willighagen", "url": "https://orcid.org/0000-0001-7542-0286" } ] } ] }