  Open science has become a synonym for modern, digital and inclusive science.
Inclusion does not stop at open access. Inclusion also requires transparency
through open datasets and the right and ability to take part in the knowledge
creation process. This implies new challenges for digital libraries. Citizens
should be able to contribute data in a curatable form to advance science. At
the same time, this data should be verifiable and attributable to its owner.
Our research project focusses on securing and attributing incoming data streams
from sensors. Our contribution is twofold. First, we analyze the promises of
open science measurement data and point out how Blockchain technology changed
the circumstances for data measurement in science projects using sensors.
Second, we present an open hardware project capable of securing the integrity
of data directly from the source using cryptographic methods. By using
inexpensive modular components and open source software, we lower the barrier
for participation in open science projects. We show how time series of
measurement values using sensors, e.g., temperature, current, and vibration
measurements, can be verifiably and immutably stored. The approach we propose
enables time series data to be stored in a tamper-proof manner and securely
timestamped on a blockchain to prevent any subsequent modification.
