Nanocuration workflows: Establishing best practices for identifying, inputting, and sharing data to inform decisions on nanomaterials

Scholarly Works

• Amos, J. D.; Zhang, Z.; Tian, Y.; Lowry, G. V.; Wiesner, M. R.; Hendren, C. O. Knowledge and Instance Mapping: architecture for premeditated interoperability of disparate data for materials. Scientific data 2024, 11, 173. doi:10.1038/s41597-024-03006-8
• Dumit, V. I.; Ammar, A.; Bakker, M. I.; Bañares, M. A.; Bossa, C.; Costa, A.; Cowie, H.; Drobne, D.; Exner, T. E.; Farcal, L.; Friedrichs, S.; Furxhi, I.; Grafström, R.; Haase, A.; Himly, M.; Jeliazkova, N.; Lynch, I.; Maier, D.; Noorlander, C. W.; Shin, H. K.; Soler-Illia, G. J.; Suarez-Merino, B.; Willighagen, E.; Nymark, P. From principles to reality. FAIR implementation in the nanosafety community. Nano Today 2023, 51, 101923. doi:10.1016/j.nantod.2023.101923
• Furxhi, I.; Willighagen, E.; Evelo, C.; Costa, A.; Gardini, D.; Ammar, A. 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 2023, 31, 100475. doi:10.1016/j.impact.2023.100475
• Hofer, S.; Hofstätter, N.; Punz, B.; Hasenkopf, I.; Johnson, L.; Himly, M. Immunotoxicity of nanomaterials in health and disease: Current challenges and emerging approaches for identifying immune modifiers in susceptible populations. Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology 2022, 14, e1804. doi:10.1002/wnan.1804
• Hasenkopf, I.; Mills-Goodlet, R.; Johnson, L.; Rouse, I.; Geppert, M.; Duschl, A.; Maier, D.; Lobaskin, V.; Lynch, I.; Himly, M. Computational prediction and experimental analysis of the nanoparticle-protein corona: Showcasing an in vitro-in silico workflow providing FAIR data. Nano Today 2022, 46, 101561. doi:10.1016/j.nantod.2022.101561
• Krug, H. F. Collection of Controlled Nanosafety Data-The CoCoN-Database, a Tool to Assess Nanomaterial Hazard. Nanomaterials (Basel, Switzerland) 2022, 12, 441. doi:10.3390/nano12030441
• Furxhi, I.; Varesano, A.; Salman, H.; Mirzaei, M.; Battistello, V.; Tomasoni, I. T.; Blosi, M. Data Shepherding in Nanotechnology: An Antimicrobial Functionality Data Capture Template. Coatings 2021, 11, 1486. doi:10.3390/coatings11121486
• Furxhi, I.; Koivisto, A. J.; Murphy, F.; Trabucco, S.; Del Secco, B.; Arvanitis, A. Data Shepherding in Nanotechnology. The Exposure Field Campaign Template. Nanomaterials (Basel, Switzerland) 2021, 11, 1818. doi:10.3390/nano11071818
• Furxhi, I.; Arvanitis, A.; Murphy, F.; Costa, A. L.; Blosi, M. Data shepherding in nanotechnology. The initiation. Nanomaterials (Basel, Switzerland) 2021, 11, 1520. doi:10.3390/nano11061520
• Jeliazkova, N.; Apostolova, M. D.; Andreoli, C.; Barone, F.; Barrick, A.; Battistelli, C. L.; Bossa, C.; Botea-Petcu, A.; Châtel, A.; De Angelis, I.; Dusinska, M.; Yamani, N. E.; Gheorghe, D.; Giusti, A.; Gómez-Fernández, P.; Grafström, R. C.; Gromelski, M.; Jacobsen, N. R.; Jeliazkov, V.; Jensen, K. A.; Kochev, N.; Kohonen, P.; Manier, N.; Mariussen, E.; Mech, A.; Navas, J. M.; Paskaleva, V.; Precupas, A.; Puzyn, T.; Rasmussen, K.; Ritchie, P.; Llopis, I. R.; Rundén-Pran, E.; Sandu, R.; Shandilya, N.; Tanasescu, S.; Haase, A.; Nymark, P. Towards FAIR nanosafety data. Nature nanotechnology 2021, 16, 644–654. doi:10.1038/s41565-021-00911-6
• Scott-Fordsmand, J. J.; Amorim, M. J.; de Garidel-Thoron, C.; Castranova, V.; Hardy, B.; Linkov, I.; Feitshans, I. L.; Nichols, G. P.; Petersen, E. J.; Spurgeon, D. J.; Tinkle, S. S.; Vogel, U.; Westerhoff, P.; Wiesner, M. R.; Hendren, C. O. Bridging international approaches on nanoEHS. Nature nanotechnology 2021, 16, 608–611. doi:10.1038/s41565-021-00912-5
• Papadiamantis, A. G.; Klaessig, F.; Exner, T.; Hofer, S.; Hofstaetter, N.; Himly, M.; Williams, M. A.; Doganis, P.; Hoover, M. D.; Afantitis, A.; Melagraki, G.; Nolan, T. S.; Rumble, J.; Maier, D.; Lynch, I. Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data. Nanomaterials (Basel, Switzerland) 2020, 10, 2033. doi:10.3390/nano10102033
• Afantitis, A.; Melagraki, G.; Isigonis, P.; Tsoumanis, A.; Varsou, D.-D.; Valsami-Jones, E.; Papadiamantis, A. G.; Ellis, L. J. A.; Sarimveis, H.; Doganis, P.; Karatzas, P.; Tsiros, P.; Liampa, I.; Lobaskin, V.; Greco, D.; Serra, A.; Kinaret, P. A. S.; Saarimäki, L. A.; Grafström, R. C.; Kohonen, P.; Nymark, P.; Willighagen, E.; Puzyn, T.; Rybińska-Fryca, A.; Lyubartsev, A. P.; Jensen, K. A.; Brandenburg, J. G.; Lofts, S.; Svendsen, C.; Harrison, S.; Maier, D.; Tämm, K.; Jänes, J.; Sikk, L.; Dusinska, M.; Longhin, E.; Rundén-Pran, E.; Mariussen, E.; Yamani, N. E.; Unger, W.; Radnik, J.; Tropsha, A.; Cohen, Y.; Leszczynski, J.; Hendren, C. O.; Wiesner, M. R.; Winkler, D. A.; Suzuki, N.; Yoon, T. H.; Choi, J.-S.; Sanabria, N.; Gulumian, M.; Lynch, I. NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment. Computational and structural biotechnology journal 2020, 18, 583–602. doi:10.1016/j.csbj.2020.02.023
• Furxhi, I.; Murphy, F.; Mullins, M.; Arvanitis, A.; Poland, C. A. Nanotoxicology data for in silico tools: a literature review. Nanotoxicology 2020, 14, 612–637. doi:10.1080/17435390.2020.1729439
• Friedersdorf, L. E.; Bjorkland, R.; Klaper, R. D.; Sayes, C. M.; Wiesner, M. R. Fifteen years of nanoEHS research advances science and fosters a vibrant community. Nature nanotechnology 2019, 14, 996–998. doi:10.1038/s41565-019-0574-z
• Soeteman-Hernández, L. G.; Apostolova; Bekker, C.; Dekkers, S.; Grafström, R. C.; Groenewold, M.; Handzhiyski, Y.; Herbeck-Engel, P.; Hoehener, K.; Karagkiozaki, V.; Kelly, S. A.; Kraegeloh, A.; Logothetidis, S.; Micheletti, C.; Nymark, P.; Oomen, A. G.; Oosterwijk, T.; Rodriguez-Llopis, I.; Sabella, S.; Jiménez, A. s.; Sips, A. J.; Suarez-Merino, B.; Tavernaro, I.; van Engelen, J.; Wijnhoven, S.; Noorlander, C. W. Safe innovation approach: Towards an agile system for dealing with innovations. Materials Today Communications 2019, 20, 100548. doi:10.1016/j.mtcomm.2019.100548
• Basei, G.; Hristozov, D.; Lamon, L.; Zabeo, A.; Jeliazkova, N.; Tsiliki, G.; Marcomini, A.; Torsello, A. Making use of available and emerging data to predict the hazards of engineered nanomaterials by means of in silico tools: A critical review. NanoImpact 2019, 13, 76–99. doi:10.1016/j.impact.2019.01.003
• Bennett, J. W.; Jones, D.; Huang, X.; Hamers, R. J.; Mason, S. E. Dissolution of Complex Metal Oxides from First-Principles and Thermodynamics: Cation Removal from the (001) Surface of Li(Ni1/3Mn1/3Co1/3)O2. Environmental science & technology 2018, 52, 5792–5802. doi:10.1021/acs.est.8b00054
• Karcher, S. C.; Willighagen, E.; Rumble, J.; Ehrhart, F.; Evelo, C. T.; Fritts, M.; Gaheen, S.; Harper, S. L.; Hoover, M. D.; Jeliazkova, N.; Lewinski, N.; Robinson, R. L. M.; Mills, K.; Mustad, A. P.; Thomas, D. G.; Tsiliki, G.; Hendren, C. O. Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations. NanoImpact 2018, 9, 85–101. doi:10.1016/j.impact.2017.11.002
• Hoover, M. D.; Cash, L. J.; Feitshans, I. L.; Hendren, C. O.; Harper, S. L. Nanotechnology Environmental Health and Safety - A Nanoinformatics Approach to Safety, Health, Well-Being, and Productivity. Nanotechnology Environmental Health and Safety; Elsevier, 2018; pp 83–117. doi:10.1016/b978-0-12-813588-4.00005-1

Explore citations to this article at