Experiment design driven FAIRification of omics data matrices, an exemplar Dahkki Rocca-Serra, P, Sansone, S-A

University of Oxford: Open Research Position Statement, June 2024 Dahkki Dally, K, Callaghan, S, Casci, T, Sansone, S-A

Personality disorders and eating disorders : exploring the frontier / Dahkki Sansone, Randy A., 1953-, Levitt, John L., 1951-

Perspectives on data sharing and the New NIH policy from the European Union Dahkki Bjaalie, JG, Goble, C, Sansone, S-A, Nakamura, R, Martone, M

TeSS: a platform for discovering life science training opportunities Dahkki Beard, N, Bacall, F, Nenadic, A, Thurston, M, Goble, CA, Sansone, S-A, Attwood, TK

FAIR data management: what does it mean for drug discovery? Dahkki Gadiya, Y, Ioannidis, V, Henderson, D, Gribbon, P, Rocca-Serra, P, Satagopam, V, Sansone, S-A, Gu, W

BioSharing: harnessing metadata standards for the data commons Dahkki Sansone, S-A, Gonzalez-Beltran, A, Rocca-Serra, P, McQuilton, P, Izzo, M, Lister, A, Thurston, M

FAIR, ethical, and coordinated data sharing for COVID-19 response: a scoping review and cross-sectional survey of COVID-19 data sharing platforms and registries Dahkki Maxwell, L, Shreedhar, P, Dauga, D, McQuilton, P, Terry, RF, Denisiuk, A, Molnar-Gabor, F, Saxena, A, Sansone, S-A

Community-driven governance of FAIRness assessment: an open issue, an open discussion Dahkki Wilkinson, MD, Sansone, S-A, Méndez, E, David, R, Dennis, R, Hecker, D, Kleemola, M, Lacagnina, C, Nikiforova, A, Castro, LJ

Semantic concept schema of the linear mixed model of experimental observations Dahkki Ćwiek-Kupczyńska, H, Filipiak, K, Markiewicz, A, Rocca-Serra, P, Gonzalez-Beltran, AN, Sansone, S-A, Millet, EJ, van Eeuwijk, F, Ławrynowicz, A, Krajewski, P

The Translational Data Catalog - discoverable biomedical datasets Dahkki Welter, D, Rocca-Serra, P, Grouès, V, Sallam, N, Ancien, F, Shabani, A, Asariardakani, S, Alper, P, Ghosh, S, Burdett, T, Sansone, S-A, Gu, W, Satagopam, V

Evaluating FAIR maturity through a scalable, automated, community-governed framework Dahkki Wilkinson, MD, Dumontier, M, Sansone, S-A, Da Silva Santos, LO, Prieto, M, Batista, D, McQuilton, P, Kuhn, T, Rocca-Serra, P, Crosas, M, Schultes, E

COPO: a metadata platform for brokering FAIR data in the life sciences Dahkki Shaw, F, Etuk, A, Minotto, A, Gonzalez-Beltran, A, Johnson, D, Rocca-Serra, P, Laporte, M-A, Arnaud, E, Devare, M, Kersey, P, Sansone, S-A, Davey, RP

COVID-19 pandemic reveals the peril of ignoring metadata standards Dahkki Schriml, LM, Chuvochina, M, Davies, N, Eloe-Fadrosh, EA, Finn, RD, Hugenholtz, P, Hunter, CI, Hurwitz, BL, Kyrpides, NC, Meyer, F, Mizrachi, IK, Sansone, S-A, Sutton, G, Tighe, S, Walls, R

ISA API: an open platform for interoperable life science experimental metadata Dahkki Johnson, D, Batista, D, Cochrane, K, Davey, RP, Etuk, A, Gonzalez-Beltran, A, Haug, K, Izzo, M, Larralde, M, Lawson, TN, Minotto, A, Moreno, P, Nainala, VC, O'Donovan, C, Pireddu, L, Roger, P, Shaw, F, Steinbeck, C, Weber, RJM, Sansone, S-A, Rocca-Serra, P

FAIR in action - a flexible framework to guide FAIRification Dahkki Welter, D, Juty, N, Rocca-Serra, P, Xu, F, Henderson, D, Gu, W, Strubel, J, Giessmann, RT, Emam, I, Gadiya, Y, Abbassi-Daloii, T, Alharbi, E, Gray, AJG, Courtot, M, Gribbon, P, Ioannidis, V, Reilly, DS, Lynch, N, Boiten, J-W, Satagopam, V, Goble, C, Sansone, S-A, Burdett, T

The FAIR Cookbook - the essential resource for and by FAIR doers Dahkki Rocca-Serra, P, Gu, W, Ioannidis, V, Abbassi-Daloii, T, Capella-Gutierrez, S, Chandramouliswaran, I, Splendiani, A, Burdett, T, Giessmann, RT, Henderson, D, Batista, D, Emam, I, Gadiya, Y, Giovanni, L, Willighagen, E, Evelo, C, Gray, AJG, Gribbon, P, Juty, N, Welter, D, Quast, K, Peeters, P, Plasterer, T, Wood, C, van der Horst, E, Reilly, D, van Vlijmen, H, Scollen, S, Lister, A, Thurston, M, Granell, R, FAIR Cookbook Contributors, Sansone, S-A

FAIRshake: Toolkit to evaluate the FAIRness of research digital resources Dahkki Clarke, DJB, Wang, L, Jones, A, Wojciechowicz, ML, Torre, D, Jagodnik, KM, Jenkins, SL, McQuilton, P, Flamholz, Z, Silverstein, MC, Schilder, BM, Robasky, K, Castillo, C, Idaszak, R, Ahalt, SC, Williams, J, Schurer, S, Cooper, DJ, de Miranda Azevedo, R, Klenk, JA, Haendel, MA, Nedzel, J, Avillach, P, Shimoyama, ME, Harris, RM, Gamble, M, Poten, R, Charbonneau, AL, Larkin, J, Brown, CT, Bonazzi, VR, Dumontier, MJ, Sansone, S-A, Ma'ayan, A

Enabling reusability of plant phenomic datasets with MIAPPE 1.1. Dahkki Papoutsoglou, EA, Faria, D, Arend, D, Arnaud, E, Athanasiadis, IN, Chaves, I, Coppens, F, Cornut, G, Costa, BV, Ćwiek-Kupczyńska, H, Droesbeke, B, Finkers, R, Gruden, K, Junker, A, King, GJ, Krajewski, P, Lange, M, Laporte, M-A, Michotey, C, Oppermann, M, Ostler, R, Poorter, H, Ramı Rez-Gonzalez, R, Ramšak, Ž, Reif, JC, Rocca-Serra, P, Sansone, S-A, Scholz, U, Tardieu, F, Uauy, C, Usadel, B, Visser, RGF, Weise, S, Kersey, PJ, Miguel, CM, Adam-Blondon, A-F, Pommier, C

Making Common Fund data more findable: catalyzing a data ecosystem Dahkki Charbonneau, AL, Brady, A, Czajkowski, K, Aluvathingal, J, Canchi, S, Carter, R, Chard, K, Clarke, DJB, Crabtree, J, Creasy, HH, D'Arcy, M, Felix, V, Giglio, M, Gingrich, A, Harris, RM, Hodges, TK, Ifeonu, O, Jeon, M, Kropiwnicki, E, Lim, MCW, Liming, RL, Lumian, J, Mahurkar, AA, Mandal, M, Munro, JB, Nadendla, S, Richter, R, Romano, C, Rocca-Serra, P, Schor, M, Schuler, RE, Tangmunarunkit, H, Waldrop, A, Williams, C, Word, K, Sansone, S-A, Ma'ayan, A, Wagner, R, Foster, I, Kesselman, C, Brown, CT, White, O