You've got to back up a step or three. The transfer function is complex valued so, to plot it, you need two plots, usually magnitude and phase. The magnitude plot is usually log-log but the phase plot is lin-log.
So, you need to find the magnitude and then take the log before plotting the Bode magnitude. To find the magnitude, multiply H by its conjugate and then take the root.
$$|H(j\omega)|^2 = \dfrac{100}{1 + \dfrac{10}{j \omega T}}\dfrac{100}{1 - \dfrac{10}{j \omega T}} = \dfrac{100^2}{1 + \dfrac{10^2}{(\omega T)^2}}$$
Also, omega is the radian frequency while f is the frequency. So, if omega = 1000, you don't multiply by 2 pi. However if f = 1000, you do.
UPDATE: fixed denominator of transfer function to match OP's original
UPDATE, PART DEUX:
We should try to put this transfer function in standard from so that can identify the asymptotic gain, the type, and the pole/zero frequency. Since the variable \$\omega\$ appears with highest exponent 1, it is a 1st order filter. There are only two types of 1st order filters: low-pass and high-pass. In standard form the OP's transfer function is:
\$H(j\omega) = 100 \dfrac{\frac{j\omega}{\omega_0}}{1 + \frac{j\omega}{\omega_0}}\$
\$ \omega_0 = \frac{10}{T}\$
Then:
\$ |H(j\omega)| = 100 \dfrac{\frac{\omega}{\omega_0}}{\sqrt{1 + (\frac{\omega}{\omega_0})^2}}\$
Now, if we stare at this a bit and ask it some questions, we can imagine exactly what this looks like.
When \$ \omega << \omega_0\$, the denominator is effectively "1" and so, the transfer function is decreasing by a factor of 10 as \$ \omega\$ decreases by a factor of 10. On a log-log scale, this is a line with a slope of +1.
When \$ \omega >> \omega_0\$, the denominator is effectively \$ \frac{\omega}{\omega_0} \$ and so the transfer function is effectively constant with a value of 100.
If we plot these two lines on a log-log plot and have them intersect at \$ \omega = \omega_0\$, we've created an asymptotic Bode magnitude plot. In fact, it's easy to see that when \$ \omega = \omega_0\$, the magnitude is \$ \frac{100}{\sqrt{2}}\$ so the lines we plotted are actually the asymptotes of the (magnitude) transfer function. That is, the function approaches these lines at the frequency extremes but never actually gets to them (on a log-log plot, \$ \omega = 0 \$ is at negative infinity)
First, cancel out the pole and zero:
\$H(s) = 250s/(s+25)\$
Next, determine the pole location:
\$H(s) = 10s/(1+s/25)\$
The break frequency is 25 rad/s.
Since there is a zero at origin, the slope until 25 rad/s is +20 dB and the slope after 25 rad/s is 0 dB.
We can start the graph at 1/10th of the lowest break frequency: 2.5 rad/s but that's quite an odd number. Let's select 1 rad/s instead.
The gain at 1 rad/s is:
\$H(1) = 10*1/(1)\ = 10 = 20 \textbf{dB}\$
This does not directly tell us the gain at and beyond the 25 rad/s break frequency. We know that the gain difference between the gains at the break frequency and at 1/10th of the break frequency is 20 dB.
Thus, let's determine the gain at 2.5 rad/s:
\$H(2.5) = 10*2.5/(1)\ = 25 = 28 \textbf{dB}\$
Gain at 1/10th of the break frequency is 28 dB. One can draw vertical line from 20 dB at 1 rad/s through 28 dB at 2.5 rad/s to 48 dB at 25 rad/s. At 25 rad/s, the gain slope becomes zero and hence one can draw a horizontal line at 48 dB to ~1,000 rad/s.
Also, notice that the DC gain is 0, which is a number that cannot be represented on a logarithmic scale.
\$H(0) = 10*0/(1)\ = 0\$
MatLab:
Best Answer
That transfer function can be rewritten as
$$H(s)=\frac{40}{s}.\frac{1}{\frac{s}{0.25}+1}.(\frac{s}{10}+1).\frac{1}{\frac{s}{25}+1}$$
Each term leads to a asymptote with +-20 dB/decade inclination on semi-log scale. The figure below shows two magnitude plots (handwritten and software based):
Now, I leave you working on the phase plot...