Data standards can boost metabolomics research, and if there is a will, there is a way Dahkki Rocca-Serra, P, Salek, RM, Arita, M, Correa, E, Dayalan, S, Gonzalez-Beltran, A, Ebbels, T, Goodacre, R, Hastings, J, Haug, K, Koulman, A, Nikolski, M, Oresic, M, Sansone, S, Schober, D, Smith, J, Steinbeck, C, Viant, MR, Neumann, S

nmrML: a community supported open data standard for the description, storage, and exchange of NMR data Dahkki Schober, D, Jacob, D, Wilson, M, Cruz, JA, Marcu, A, Grant, JR, Moing, A, Deborde, C, De Figueiredo, LF, Haug, K, Rocca-Serra, P, Easton, J, Ebbels, TMD, Hao, J, Ludwig, C, Günther, UL, Rosato, A, Klein, MS, Lewis, IA, Luchinat, C, Jones, AR, Grauslys, A, Larralde, M, Yokochi, M, Kobayashi, N, Porzel, A, Griffin, JL, Viant, MR, Wishart, DS, Steinbeck, C, Salek, RM, Neumann, S

Interoperable and scalable data analysis with microservices: applications in metabolomics Dahkki Emami Khoonsari, P, Moreno, P, Bergmann, S, Burman, J, Capuccini, M, Carone, M, Cascante, M, de Atauri, P, Foguet, C, Gonzalez-Beltran, A, Hankemeier, T, Haug, K, He, S, Herman, S, Johnson, D, Kale, N, Larsson, A, Neumann, S, Peters, K, Pireddu, L, Rocca-Serra, P, Roger, P, Rueedi, R, Ruttkies, C, Sadawi, N, Salek, R, Sansone-Assunta, S, Schober, D, Selivanov, V, Thévenot, E, van Vliet, M, Zanetti, G, Steinbeck, C, Kultima, K, Spjuth, O

Coordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access Dahkki Salek, R, Neumann, S, Schober, D, Hummel, J, Billiau, K, Kopka, J, Correa, E, Reijmers, T, Rosato, A, Tenori, L, Turano, P, Marin, S, Deborde, C, Jacob, D, Rolin, D, Dartigues, B, Conesa, P, Haug, K, Rocca-Serra, P, O'Hagan, S, Hao, J, van Vliet, M, Sysi-Aho, M, Ludwig, C, Bouwman, J, Cascante, M, Ebbels, T, Griffin, J, Moing, A, Nikolski, M, Oresic, M, Sansone, S, Viant, M, Goodacre, R, Guenther, U, Hankemeier, T, Luchinat, C, Walther, D, Steinbeck, C

The ontology for biomedical investigations. Dahkki Bandrowski, A, Brinkman, R, Brochhausen, M, Brush, M, Bug, B, Chibucos, M, Clancy, K, Courtot, M, Derom, D, Dumontier, M, Fan, L, Fostel, J, Fragoso, G, Gibson, F, Gonzalez-Beltran, A, Haendel, M, He, Y, Heiskanen, M, Hernandez-Boussard, T, Jensen, M, Lin, Y, Lister, A, Lord, P, Malone, J, Manduchi, E, McGee, M, Morrison, N, Overton, J, Parkinson, H, Peters, B, Rocca-Serra, P, Ruttenberg, A, Sansone, S, Scheuermann, R, Schober, D, Smith, B, Soldatova, L, Stoeckert, C, Taylor, C, Torniai, C, Turner, J, Vita, R, Whetzel, P, Zheng, J

The future of metabolomics in ELIXIR. Dahkki van Rijswijk, M, van Rijswijk, M, Beirnaert, C, Beirnaert, C, Caron, C, Cascante, M, Dominguez, V, Dunn, WB, Ebbels, TMD, Giacomoni, F, Gonzalez-Beltran, A, Hankemeier, T, Haug, K, Haug, K, Izquierdo-Garcia, JL, Jimenez, RC, Jimenez, RC, Jourdan, F, Kale, N, Klapa, MI, Kohlbacher, O, Koort, K, Kultima, K, Le Corguillé, G, Moreno, P, Moschonas, NK, Moschonas, NK, Neumann, S, O'Donovan, C, Reczko, M, Rocca-Serra, P, Rosato, A, Rosato, A, Rosato, A, Salek, RM, Salek, RM, Sansone, S-A, Satagopam, V, Schober, D, Shimmo, R, Spicer, RA, Spicer, RA, Spjuth, O, Spjuth, O, Spjuth, O, Thévenot, EA, Thévenot, EA, Viant, MR, Weber, RJM, Willighagen, EL, Willighagen, EL, Zanetti, G, Steinbeck, C, Steinbeck, C

PhenoMeNal: processing and analysis of metabolomics data in the cloud Dahkki Peters, K, Bradbury, J, Bergmann, S, Capuccini, M, Cascante, M, De Atauri, P, Ebbels, T, Foguet, C, Glen, R, Gonzalez-Beltran, A, Guenther, U, Handakas, E, Hankemeier, T, Herman, S, Haug, K, Holub, P, Izzo, M, Jacob, D, Johnson, D, Jourdan, F, Kale, N, Karaman, I, Khalili, B, Khoonsari, P, Kultima, K, Lampa, S, Larsson, A, Ludwig, C, Moreno, P, Neumann, S, Novella, JA, O'Donovan, C, Pearce, JTM, Peluso, A, Pireddu, L, Piras, ME, Reed, MAC, Rocca-Serra, P, Roger, P, Rosato, A, Rueedi, R, Ruttkies, C, Sadawi, N, Salek, R, Sansone, S-A, Selivanov, V, Spjuth, O, Schober, D, Thévenot, E, Tomasoni, M, Van Rijswijk, M, Van Vliet, M, Viant, M, Weber, R, Zanetti, G, Steinbeck, C