Dina Sharafeldeen

Researcher/ Ph.D. Candidate

Leutragraben 1, Jentower

Room: 17N02

E:

Join date: 2016-05-08

Publications

2017

Towards Using Semantic Data Mining for Predicting Community Assembly
Dina sharafeldeen, Michael Owonibi, Birgitta König-Ries
Proceedings of the 29th GI-Workshop Grundlagen von Datenbanken
Blankenburg/Harz, Germany 30.5.2017

Teaching

Current Projects

BioDialog: Intercultural Dialog through Biodiversity Informatics
Ein Kooperationsprojekt der Universität Jena mit der Assiut University und der Ain Shams University, Ägypten und der Sfax University, Tunesien This project serves to prepare a more ambitious three-year project aiming to bring together two vital topics: data management on the one hand and biodiversity research on the other hand. The BioDialog project has the following main objectives: It aims firstly, to establish a scientific exchange, founded on regional expertise which allows understanding biodiversity and biodiversity informatics practices in their specific local context. Biodiversity and biodiversity informatics are common phenomena. However, they have different effects in different contexts which cannot…
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GFBio
GFBio (https://www.gfbio.org) is a national infrastructure and contact point for issues concerning research data management and standardization of biological and environmental data. The project was established in 2013 with the main goal is to support scholars in all steps of the data life cycle, from acquisition to archiving and data publication. Five years later, GFBio provides a data portal with access to more than 5 Mio biodiversity metadata files. The majority of this data is linked with primary research data which can be further analyzed in an interactive visualization tool. Furthermore, GFBio is the national contact point for submitting biological data and mediates data archiving in dedicated data centers to ensure sustainable, long-term preservation and publication of research data. In addition, it organizes and supports education and training of scholars on all facets of research data management.
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