The following sum appears in Brychkov, Marichev, and Prudnikov, Integrals and Series, Vol 1, 4.2.8, #25 $$\sum_{k=1}^n\frac{(-1)^{k+1} 2^{2k}}{k}\binom{n}{k}\binom{2k}{k}^{-1}= 2 H_{2n} - H_n$$
where $H_n$ are the harmonic numbers.
Here is what I've tried:
We have the series expansion:
$$\sum_{n\ge 1} \frac{2^{2n-1} }{n \binom{2n}{n}} x^{2n-1} = \frac{\arcsin x}{\sqrt{1-x^2}}$$
and so
$$\sum_{n\ge 1} \frac{2^{2n-1} }{n \binom{2n}{n}} x^{n} = \frac{\sqrt{x} \arcsin \sqrt{x}}{\sqrt{1-x}}$$
Now we can use the relation between the generating functions for the binomial transform
$$G(x) = \frac{1}{1-x}\cdot F(-\frac{x}{1-x})$$
Now things get a bit fuzzy : it's not clear what will be the expansion after the transformation, and how that involves harmonic numbers.
Also, here is the Taylor expansions involving harmonic numbers
$$\sum_{n\ge 1} H_n x^n= \frac{1}{1-x} \log \frac{1}{1-x}$$
and from here using $x \mapsto \pm \sqrt{x}$ and averaging, we can get the series
$$\sum_{n \ge 1} H_{2n} x^n $$
Any feedback is appreciated!
$\bf{Added:}$ Thank you all for all the great answers! I've learned a lot.
I will try to share a part of what I've learned from your answers:
The binomial transform at the level of (exponential) generating series is very powerful. I have to get more comfortable with formulas.
There are other interesting formulas that use the Beta integrals to express the inverse of binomial coefficients as an integral--- very useful.
I've learned a new formula from this question, indicated by @Marko Riedel:
We have the identity in $\alpha$
$$\sum_{k=1}^n \frac{\binom{\alpha + n-k}{n-k}}{\binom{\alpha + n}{n}} \cdot \frac{1}{k} = \sum_{k=1}^n \frac{1}{\alpha + k}$$
This can also be rewritten as
$$\sum_{k=1}^n \frac{\binom{n}{k}}{\binom{\alpha + n}{k}} \cdot \frac{1}{k} = \sum_{k=1}^{n} \frac{1}{\alpha + k}$$
or with $\alpha = \beta- n$, $$\sum_{k=1}^n \binom{n}{k} \frac{1}{k \binom{\beta}{k} } = \sum_{k=0}^{n-1} \frac{1}{\beta- k}$$
If we take $\alpha = -\frac{1}{2}-n$ in the formula we get our formula ( we have $\binom{-\frac{1}{2}}{k} = \frac{(-1)^k \binom{2k}{k}}{2^{2k}}$)
$\bf{Added:}$ This formula (slightly modified) at 4.2.8. #27 appears in the Volume but only for natural values of $m$.
We seek to verify that
$$\sum_{k=1}^n \frac{(-1)^{k+1} 2^{2k}}{k} {n\choose k} {2k\choose k}^{-1} = 2 H_{2n} - H_n.$$
Recall from MSE 4316307 the following identity which was proved there: with $1\le k\le n$
$$\frac{1}{k} {n\choose k}^{-1} = [z^n] \log\frac{1}{1-z} (z-1)^{n-k}.$$
We get for our sum
$$\sum_{k=1}^n (-1)^{k+1} 2^{2k} {n\choose k} [z^{2k}] \log\frac{1}{1-z} (z-1)^k \\ = (-1)^n 2^{2n} \sum_{k=0}^{n-1} {n\choose k} (-1)^{k+1} 2^{-2k} [z^{2n-2k}] \log\frac{1}{1-z} (z-1)^{n-k} \\ = (-1)^{n+1} 2^{2n} [z^{2n}] \log\frac{1}{1-z} (z-1)^n \sum_{k=0}^{n-1} {n\choose k} (-1)^{k} 2^{-2k} z^{2k} (z-1)^{-k}.$$
We see that we may raise $k$ to $n$ because this is a zero contribution owing to the fact that $\log\frac{1}{1-z}$ does not have a constant term, getting
$$(-1)^{n+1} 2^{2n} [z^{2n}] \log\frac{1}{1-z} (z-1)^n \left[1-\frac{z^2}{4(z-1)}\right]^n \\ = (-1)^{n+1} [z^{2n}] \log\frac{1}{1-z} \left[4z-4-z^2\right]^n \\ = - [z^{2n}] \log\frac{1}{1-z} (z-2)^{2n}.$$
This is
$$- \; \underset{z}{\mathrm{res}} \; \frac{1}{z^{2n+1}} \log\frac{1}{1-z} (z-2)^{2n}.$$
Now put $z/(z-2) = v$ so that $z=2v/(v-1)$ and $dz = - 2/(v-1)^2 \; dv$ to obtain
$$\; \underset{v}{\mathrm{res}} \; \frac{1}{v^{2n+1}} \log\frac{1}{1-2v/(v-1)} \frac{v-1}{2} 2 \frac{1}{(v-1)^2} \\ = - \; \underset{v}{\mathrm{res}} \; \frac{1}{v^{2n+1}} \frac{1}{1-v} \log\frac{v-1}{-v-1} \\ = - \; \underset{v}{\mathrm{res}} \; \frac{1}{v^{2n+1}} \frac{1}{1-v} \log\frac{1-v}{1+v}.$$
We get two pieces, the first is
$$\; \underset{v}{\mathrm{res}} \; \frac{1}{v^{2n+1}} \frac{1}{1-v} \log\frac{1}{1-v} = H_{2n}.$$
The second is
$$- \; \underset{v}{\mathrm{res}} \; \frac{1}{v^{2n+1}} \frac{1}{1-v} \log\frac{1}{1+v} = - \sum_{q=1}^{2n} \frac{(-1)^q}{q} = - \left[\sum_{p=1}^n \frac{1}{2p} - \sum_{p=0}^{n-1} \frac{1}{2p+1} \right] \\ = - \frac{1}{2} H_n + H_{2n} - \sum_{q=1}^n \frac{1}{2q} = H_{2n} - H_n.$$
Collecting the two pieces we obtain
$$\bbox[5px,border:2px solid #00A000]{ 2 H_{2n} - H_n}$$
as claimed.