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FAIRDOM training

Overview

This project contains materials for "Model management and result reproducibility" training at Managing Big Data tutorial on 5th of December 2016 in Potsdam.

The course will also explain how to build an effective Data Management strategy, needed if you apply for funds for a project.
The target group of this basic course are young scientists. This one day tutorial will give you insights in standard operation procedures (SOPs), experimental design, modelling design and a short introduction in SEEK. This training will give you an overview and hints how to plan your experiment and generate data which are consistent and valid for mathematical analysis.
This training is affiliated to a conference which will take place at December 6. Participation at the
conference is free for attendees of this workshop.

Programme: This Project is not associated with a Programme

SEEK ID: https://demo.fairdomhub.org/projects/16

Public web page: http://sb-sciencemanagement.com/training/training/managing-big-data

Organisms: Bacillus subtilis, Escherichia coli, Pseudomonas fluorescens, Saccharomyces cerevisiae

FAIRDOM PALs: No PALs for this Project

Project created: 30th Nov 2016

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Agro Ontology
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Contributor: Guest

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Introducing Technical Aspects of Research Data Management in the Leipzig Health Atlas.
FAIRDOM training

Abstract (Expand)

Medical research is an active field in which a wide range of information is collected, collated, combined and analyzed. Essential results are reported in publications, but it is often problematic to … have the data (raw and processed), algorithms and tools associated with the publication available. The Leipzig Health Atlas (LHA) project has therefore set itself the goal of providing a repository for this purpose and enabling controlled access to it via a web-based portal. A data sharing concept in accordance to FAIR and OAIS is the basis for the processing and provision of data in the LHA. An IT architecture has been designed for this purpose. The paper presents essential aspects of the data sharing concept, the IT architecture and the methods used.

Authors: Guest, M. Lobe, S. Staubert

Date Published: 22nd Apr 2018

Journal: Stud Health Technol Inform

The FAIR Guiding Principles for scientific data management and stewardship
FAIRDOM training

Abstract (Expand)

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have … come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.

Authors: M. D. Wilkinson, M. Dumontier, I. J. Aalbersberg, G. Appleton, M. Axton, A. Baak, N. Blomberg, J. W. Boiten, L. B. da Silva Santos, P. E. Bourne, J. Bouwman, A. J. Brookes, T. Clark, M. Crosas, I. Dillo, O. Dumon, S. Edmunds, C. T. Evelo, R. Finkers, A. Gonzalez-Beltran, A. J. Gray, P. Groth, C. Goble, J. S. Grethe, J. Heringa, P. A. 't Hoen, R. Hooft, T. Kuhn, R. Kok, J. Kok, S. J. Lusher, M. E. Martone, A. Mons, A. L. Packer, B. Persson, P. Rocca-Serra, M. Roos, R. van Schaik, S. A. Sansone, E. Schultes, T. Sengstag, T. Slater, G. Strawn, M. A. Swertz, M. Thompson, J. van der Lei, E. van Mulligen, J. Velterop, A. Waagmeester, P. Wittenburg, K. Wolstencroft, J. Zhao, B. Mons

Date Published: 16th Mar 2016

Journal: Sci Data

Modeling the cell division cycle: cdc2 and cyclin interactions
FAIRDOM training

Abstract (Expand)

The proteins cdc2 and cyclin form a heterodimer (maturation promoting factor) that controls the major events of the cell cycle. A mathematical model for the interactions of cdc2 and cyclin is constructed. … Simulation and analysis of the model show that the control system can operate in three modes: as a steady state with high maturation promoting factor activity, as a spontaneous oscillator, or as an excitable switch. We associate the steady state with metaphase arrest in unfertilized eggs, the spontaneous oscillations with rapid division cycles in early embryos, and the excitable switch with growth-controlled division cycles typical of nonembryonic cells.

Author: J. J. Tyson

Date Published: 15th Aug 1991

Journal: Proc Natl Acad Sci U S A

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