Unlocking history:
From analog streams to digital rivers

Help us to bring analogue data into the digital age by contributing a few minutes of your time.

How about four reasons, why you should do so?

#1

This data might play a vital role in preparing for climate change.

#2

Your contribution, no matter how small, truly makes a big difference!

#3

At some point, the data sheets are irretrievably lost due to the ageing process.

#4

Without digitization, this data remains inaccessible to the public.

Are you convinced?

About the Project
do it logo

Large amounts of hydrological data, such as weather and discharge records, exist only in analogue form and are not directly usable for research. Yet the data is needed, e.g. for climate change impact research.
The application of automated digitization processes such as machine learning methods is difficult. For example, some of the data is not easy to read for optical character recognition (OCR), there are often manual annotations that add additional content to the dataset, or there is a lack of training data to teach the AI the semantics of the tables. Currently, the only solution is a manual digitization process.
This is where do it! — an acronym for 'Digitization of analogue records in time'— steps in and serves as an interface between the analogue data and the citizen scientists (CS). The data is split into user-friendly fragments (e.g. a single month) and the CS are supported during the digitization by a guided user interface. So every interested person can participate and make a valuable contribution within 5 minutes only.

do-it! cooperations
Harzwasserwerke Harzwasserwerke
FAIR Principles

All results generated by this project are published in accordance with the FAIR principles:

Therefore we publish each dataset with an unique identifier (DOI) on zenodo. The dataset will contain the processed timeseries and metadata describing where the data originates from, what has been done and how it can be used. Upon request and in accordance with the FAIR principles, the raw data can be made available. However, this is subject to the consent of the data provider and must be agreed on a case-by-case basis.

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