Welcome to SCIDIP-ES!

SCIence Data Infrastructure for Preservation with focus on Earth Science (SCIDIP-ES) is a European 7th Framework project.  It brings together the state of the art in preservation technologies, represented by Earth Science repositories, and researchers for digital data preservation techniques.  


SCIDIP-ES Interactive Platform

Our service and toolkits can be used and downloaded from our interactive platform


SCIDIP-ES Training

Follow the link to see past project training videos on digital data preservation



Science data infrastructure for preservation is a project set up in Europe to deliver generic infrastructure services for science data preservation, focusing mainly on earth science. This project aims to ensure long term preservation of earth science data through, definition of common preservation policies, harmonisation of metadata and semantics and deployment of generic infrastructure in earth science domain.

Preservation of earth science allows society to preserve digitally encoded information.

Earth science data and online trading.

Owing to the fact that earth science data archives extend for decades, their scientific value thus making their financial value more competitive on the market. In order to ensure that the trade goes well and the SCIDIP-ES gets the value for their information. There are many forms of online trading, each having its advantage and disadvantage binary option trading being the easiest and commonly used form of online trading . Binary option operation is based on choosing what will happen to the asset . after placing an asset on the market, it takes only sixty seconds to deduce its value before placing it for biding.

Binary option trading’s main aim is to price the asset for the market. certain individuals concider binary option trading as a form of gambling rather than online trading but it is however mostly accurate and bases its statistics on data that is factual.


This is a platform for binary option trading. This platform allows for stock brokers to put up their assets by using this one can be able to figure out their value before placing them on the market. Science data,, specifically earth data is an important asset that helps the government and scientists predict the patters the changing world making this data extremely valuable. Over the years the scientific value of earth data has increase and keeps on increasing as time goes by. Due to the fact that the scientific value increases, so does the financial value ). This platform enables the value to be predicted. IQ option trading is often found in form of an application . this application is often 80% accurate on the stocks making it a reliable platform.


Even though online trading may be seen by some as a gamble, its a cheap and efficient way for members of Science data infrastructure for preservation to know where their hard work and life long research and readings stand in the stock market, thus helping them identify the best time to participate in stock exchange trade.


For more information on earth science and the Science data infrastructure for preservation project, the following individuals can be reached for questions.

TEL: +390694180496
FAX: +390694180296
TEL: +441935872660

SCIDIP-ES in brief

1) We will upgrade a set of prototypal preservation services into scalable, robust e-infrastructure components to support digital preservation of all types of digital objects.

2) We will gain a critical mass of users: Earth science as focus - creating a critical mass of users by working with ESA to aggregate the Earth Science domain


SCIDIP-ES for Data Managers

SCIDIP-ES will deliver Data Preservation Services and Toolkits and guidelines for data managers who are willing to create/enhance their preservation systems.

Analyzing the state of the art, we will deliver preservation best practices agreed among some of the most important Earth Science european repositories.


SCIDIP-ES for Scientists

Preservation systems are mostly hidden to users, but are crucial for their work.

Properly preserved data and associated knowledge allows what is "unfamiliar" and "unusable" to become familiar and usable.

This is crucial to enhance data interoperability between scientist belonging to different disciplines.