Will we be able to store information for at least 1,000 years?

But can there be long - term solutions to this issue and will we have the opportunity to store information for at least 1,000 years?

In her home in Paris, Dina Zielinski, a scientist at the French National Institute, guards a small testist with a particular DNA inside. DNA doesn't have the code of a human genome, not of any animal or virus. Instead, it stores the digital data of a museum.

This will easily last tens of years, possibly hundreds of”, Zielinski says.

The last decade, researching how we can store digital data within DNA sequences, was one of the main debates in scientific circles. Currently, scientists have encrypted films, books, and entire computer systems into DNA. Even the Netflix platform has used this technique to save an episode of the trumpet series, “Bihackers”. Researchers from around the world have long been exploring forms of how they can store data forever effectively.

Some scientists have attempted to carve information into highly stable glass cells, similar to cave designs. But how long can such information be stored, and can we really be sure of their effectiveness? Many experts are insisting that DNA offers a highly compact, sustainable and long-term storage form that can replace the many forms of digital media, which a certain moment may not work, and requires large amounts of energy.

Marke Bate, a professor of biological engineering at the Massachusetts Institute of Technology, feels that the global threats facing humanity force us to store information from every area, such as art and science, and also the DNA of all living things on the planet.

If life were created here or moved to other planets, there would be records and stored data. Nature has used DNA for many millenniums to store information in genome form. DNA is a real store of information, to an unprecedented extent with no other man-made equipment.

However, the challenge is great. DNA has tremendous potential for preserving future data, but numerous obstacles such as large costs, encoding mechanisms and the risk to mutations or mistakes must be resolved.