Data science has become omnipresent in the natural sciences: not only does it feature in the analysis of genomic, proteomic and metabolomic data, but also has importance in the context of environmental monitoring, where imaging technology is making an increasingly significant contribution.
To meet this demand, IPK has put in place a comprehensive, powerful and expanding IT infrastructure, which includes a strong internal network well connected to the German National Research and Education Network (DFN), adequate data storage capability, computational resources powerful enough to analyse large data sets, a centralised archiving facility, a range of database, a central laboratory information management system and a substantial number of web servers.
Several web-based databases are accessible to users through our website, as are various analytical tools. The goal of transforming IPK into a bio digital Resource Centre is being addressed by an ongoing effort to develop these databases and tools.
As part of our data stewardship responsibility, data and research outcomes are not just curated, but are also made uniquely identifiable and connected to one another via hyperlinking. In order to ensure that, going forward, research outputs are maintained, structured and made freely accessible, it is seen as essential to participate in relevant national and international programmes, such as the German Network for Bioinformatics Infrastructure "de.NBI", the European Infrastructure Network for the Life Sciences "ELIXIR", the DataCite Consortium and the GO-FAIR Consortium.
The purpose of the FAIR data principles, which are to ensure that scientific data are findable, accessible, interoperable and reusable, is to present research data in a form which can be readily used by researchers around the world, and also which is suitable for machine-based analysis.
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