000145368 001__ 145368 000145368 005__ 20250923084433.0 000145368 0247_ $$2doi$$a10.1016/j.memsci.2024.123356 000145368 0248_ $$2sideral$$a140250 000145368 037__ $$aART-2024-140250 000145368 041__ $$aeng 000145368 100__ $$aVan Buggenhout, Simon 000145368 245__ $$aOpen and FAIR data for nanofiltration in organic media: A unified approach 000145368 260__ $$c2024 000145368 5203_ $$aOrganic solvent nanofiltration (OSN), also called solvent-resistant nanofiltration (SRNF), has emerged as a promising technology for the removal of impurities, recovery of solutes, and the regeneration of solvents in various industries, such as the pharmaceutical and the (petro)chemical industries. Despite the widespread use of OSN/SRNF, the presence of scattered, non-standardized data, and the absence of openly accessible data pose critical challenges to the development of new membrane materials and processes, their comparison to the state-of-the-art materials, and their fundamental understanding. To overcome these hurdles, data from peer-reviewed research articles and commercial datasheets were curated via a standardized procedure to obtain an extensive dataset on the membrane materials, synthesis parameters, operational conditions, physicochemical properties, and performance of OSN/SRNF membranes. Thanks to a truly impressive joint effort of the OSN/SRNF community, the dataset contains, as per April 2024, 5006 unique membrane filtrations from 294 publications for 42 solvents under several process parameters. This findable, accessible, interoperable, reproducible, and open (FAIR/O) dataset is available on both the OSN Database and the newly inaugurated Open Membrane Database for SRNF (OMD4SRNF). These databases provide multiple visualization and data exploration tools. Here, the standardized procedure applied to curate the data and the functionality of the databases are outlined, as well as the online user interface to deposit new data by external users on the OMD4SRNF. This community-led project has been supported by all the co-authors of this work. Most importantly, they additionally agreed to systematically deposit their future peer-reviewed data on OSN/SRNF into the databases. We thereby pave the road for FAIR/O data in the field of OSN/SRNF to increase transparency, enable more accurate data analysis, and foster collaboration and innovation. 000145368 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T68-23R$$9info:eu-repo/grantAgreement/ES/MICINN/PID2022-138582OB-I00 000145368 540__ $$9info:eu-repo/semantics/closedAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000145368 590__ $$a9.0$$b2024 000145368 592__ $$a1.935$$b2024 000145368 591__ $$aPOLYMER SCIENCE$$b5 / 94 = 0.053$$c2024$$dQ1$$eT1 000145368 593__ $$aBiochemistry$$c2024$$dQ1 000145368 591__ $$aENGINEERING, CHEMICAL$$b16 / 175 = 0.091$$c2024$$dQ1$$eT1 000145368 593__ $$aPhysical and Theoretical Chemistry$$c2024$$dQ1 000145368 593__ $$aMaterials Science (miscellaneous)$$c2024$$dQ1 000145368 593__ $$aFiltration and Separation$$c2024$$dQ1 000145368 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000145368 700__ $$aIgnacz, Gergo 000145368 700__ $$aCaspers, Scout 000145368 700__ $$aDhondt, Robin 000145368 700__ $$aLenaerts, Marie 000145368 700__ $$aLenaerts, Nathalie 000145368 700__ $$aHosseinabadi, Sareh Rezaei 000145368 700__ $$aNulens, Ines 000145368 700__ $$aKoeckelberghs, Guy 000145368 700__ $$aRen, Yi 000145368 700__ $$aLively, Ryan P. 000145368 700__ $$aRabiller-Baudry, Murielle 000145368 700__ $$aLim, Ki Min 000145368 700__ $$aGhazali, Nazlee 000145368 700__ $$0(orcid)0000-0003-1512-4500$$aCoronas, Joaquin$$uUniversidad de Zaragoza 000145368 700__ $$aAbel, Milan 000145368 700__ $$aWessling, Matthias 000145368 700__ $$aSkiborowski, Mirko 000145368 700__ $$aOxley, Adam 000145368 700__ $$aHan, Seok Ju 000145368 700__ $$aLivingston, Andrew 000145368 700__ $$aYi, Zhuan 000145368 700__ $$aGao, Congjie 000145368 700__ $$aGuan, Kecheng 000145368 700__ $$aGonzales, Ralph Rolly 000145368 700__ $$aMatsuyama, Hideto 000145368 700__ $$aBettahalli, Srivatsa NM. 000145368 700__ $$aMcCutcheon, Jeffrey R. 000145368 700__ $$aRadmanesh, Farzaneh 000145368 700__ $$aBenes, Nieck E. 000145368 700__ $$aTashvigh, Akbar Asadi 000145368 700__ $$aFang, Qing 000145368 700__ $$aZhang, Kaisong 000145368 700__ $$aChen, Guining 000145368 700__ $$aJin, Wanqin 000145368 700__ $$aZhang, Yatao 000145368 700__ $$aZhang, Chun-Xu 000145368 700__ $$aLiu, Mei-Ling 000145368 700__ $$aSun, Shi-Peng 000145368 700__ $$aBuekenhoudt, Anita 000145368 700__ $$aZhao, Chen 000145368 700__ $$aBruggen, Bart Van der 000145368 700__ $$aKim, Jeong F. 000145368 700__ $$aCondes, Lucas C. 000145368 700__ $$aWebb, Matthew T. 000145368 700__ $$aGalizia, Michele 000145368 700__ $$aAlhazmi, Banan 000145368 700__ $$aUpadhyaya, Lakshmeesha 000145368 700__ $$aNunes, Suzana P. 000145368 700__ $$aKim, Dae Woo 000145368 700__ $$aSchröter, Henrik 000145368 700__ $$aKragl, Udo 000145368 700__ $$aStörtte, Sven 000145368 700__ $$aVorholt, Andreas J. 000145368 700__ $$aCulfaz-Emecen, P. Zeynep 000145368 700__ $$aPizzoccaro-Zilamy, Marie-Alix 000145368 700__ $$aWinnubst, Louis 000145368 700__ $$aYushkin, Alexey 000145368 700__ $$aVolkov, Alexey 000145368 700__ $$aChau, John 000145368 700__ $$aSirkar, Kamalesh K. 000145368 700__ $$aLu, Shao 000145368 700__ $$aSzekely, Gyorgy 000145368 700__ $$aVankelecom, Ivo 000145368 700__ $$aVerbeke, Rhea 000145368 7102_ $$15005$$2555$$aUniversidad de Zaragoza$$bDpto. Ing.Quím.Tecnol.Med.Amb.$$cÁrea Ingeniería Química 000145368 773__ $$g713 (2024), 123356 [9 pp.]$$pJ. membr. sci.$$tJOURNAL OF MEMBRANE SCIENCE$$x0376-7388 000145368 8564_ $$s4809433$$uhttps://zaguan.unizar.es/record/145368/files/texto_completo.pdf$$yVersión publicada 000145368 8564_ $$s2604813$$uhttps://zaguan.unizar.es/record/145368/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000145368 909CO $$ooai:zaguan.unizar.es:145368$$particulos$$pdriver 000145368 951__ $$a2025-09-22-14:44:58 000145368 980__ $$aARTICLE