Efforts and innovations to promote data sharing and data accessibility in the EGS collab experiments
Fu, Pengcheng; White, Mark; Morris, Joseph; Blankenship, Douglas A.; Egs Collab Teama; Ajo-Franklin, J.; Baumgartner, T.; Beckers, K.; Blankenship, Douglas A.; Bonneville, A.; Boyd, L.; Brown, S.; Burghardt, J.A.; Chai, C.; Chakravarty, A.; Chen, T.; Chen, Y.; Chi, B.; Condon, K.; Cook, P.J.; Crandall, D.; Dobson, P.F.; Doe, T.; Doughty, C.A.; Elsworth, D.; Feldman, J.; Feng, Z.; Foris, A.; Frash, L.P.; Frone, Z.; Fu, P.; Gao, K.; Ghassemi, A.; Guglielmi, Y.; Haimson, B.; Hawkins, A.; Heise, J.; Hopp, Chet; Horn, M.; Horne, R.N.; Horner, J.; Hu, M.; Huang, H.; Huang, L.; Im, K.J.; Ingraham, M.; Jafarov, E.; Jayne, R.S.; Johnson, T.C.; Johnson, S.E.; Johnston, B.; Karra, S.; Kim, K.; King, D.K.; Kneafsey, T.; Knox, H.; Knox, J.; Kumar, D.; Kutun, K.; Lee, M.; Li, D.; Li, J.; Li, K.; Li, Z.; MacEira, M.; MacKey, P.; Makedonska, N.; Marone, C.J.; Mattson, E.; McClure, M.W.; McLennan, J.; McLing, T.; Medler, C.; Mellors, R.J.; Metcalfe, E.; Miskimins, J.; Moore, J.; Morency, C.E.; Morris, J.P.; Myers, T.; Nakagawa, S.; Neupane, G.; Newman, G.; Nieto, A.; Paronish, T.; Pawar, R.; Petrov, P.; Pietzyk, B.; Podgorney, R.; Polsky, Y.; Pope, J.; Porse, S.; Primo, J.C.; Reimers, C.; Roberts, B.Q.; Robertson, M.; Rodriguez-Tribaldos, V.; Roggenthen, W.; Rutqvist, J.; Rynders, D.; Schoenball, M.; Schwering, Paul C.; Sesetty, V.; Sherman, C.S.; Singh, A.; Smith, M.M.; Sone, H.; Sonnenthal, E.L.; Soom, F.A.; Sprinkle, D.P.; Sprinkle, S.; Strickland, C.E.; Su, J.; Templeton, D.; Thomle, J.N.; Ulrich, C.; Uzunlar, N.; Vachaparampil, A.; Valladao, C.A.; Vandermeer, W.; Vandine, G.; Vardiman, D.; Vermeul, V.R.; Wagoner, J.L.; Wang, H.F.; Weers, J.; Welch, N.; White, J.; White, M.D.; Winterfeld, P.; Wood, T.; Workman, S.; Wu, H.; Wu, Y.S.; Yildirim, E.C.; Zhang, Y.; Zhang, Y.Q.; Zhou, Q.; Zoback, M.D.
Large-scale scientific research programs such as the EGS Collab experiments and the FORGE program play extremely important roles in advancing geothermal technologies. Such efforts involve a large number of researchers from multiple institutions, last multiple years, and generate large, complex datasets. The value of the research efforts is only realized when the datasets are used by a large community of researchers in the decades to come. A challenge is that due to the complexity of the data, it could require a user to devote a serious effort into understanding the data before the data can be effectively utilized. In the EGS Collab experiments, the team has devoted remarkable efforts and developed many innovative solutions to make the data more accessible to broader team members and future users. This paper documents the experience gained and lessons learned by the EGS Collab team in disseminating the data in the most informative and inspiring forms to maximize the value of this precious dataset. "Accessibility"in the title does not only mean making the raw data available for download. Particularly, we want to emphasize the importance of organizing, annotating, and presenting the data in ways to make it easy to digest by prospective consumers of the data.