A data-driven estimate is given that, over a Sobolev space, is simultaneous
ly asymptotically sharp minimax for estimating both the function and its de
rivatives under integrated squared error loss. It is also shown that linear
estimates cannot be simultaneously asymptotically sharp minimax over a giv
en Sobolev space.