FAIRDOM user meeting

FAIRDOM is establishing a support and service network for European Systems Biology. FAIRDOM is a joint action of ERA-Net ERASysAPP and European Research Infrastructure ISBE to establish a data and model management service facility for Systems Biology. Our prime mission is to support researchers, students, trainers, funders and publishers by enabling Systems Biology projects to make their Data, Operating procedures and Models, Findable, Accessible, Interoperable and Reusable (FAIR).

Data integration is an essential part of Systems Biology. Scientists need to combine different sources of information in order to model biological systems, and relate those models to available experimental data for validation. Currently, only a small fraction of the data and models produced during Systems Biology investigations are deposited for reuse by the community, and only a smaller fraction of that data is standards compliant, semantic content. By embedding semantic technologies into familiar ...

Research in Systems Biology involves integrating data and knowledge about the dynamic processes in biological systems in order to understand and model them. By connecting fields such as genomics, proteomics, bioinformatics, mathematics, cell biology, genetics, mathematics, engineering and computer sciences, Systems Biology enables discovery of yet unknown principles underlying the functioning of living cells. At the same time, testable and predictive models of complex cellular pathways and ...

Here you will find guidelines for creating MIAPE compliant proteomics data files as well as examples and links to online tools and resources

Here you will find guidelines for creating MAGE-TAB compliant transcriptomics data files as well as examples and links to online tools and resources.

These templates can be used for a selection of metabolomics data types. There is a MASTER template for general use and adaptation as well as several more specific templates for particular types of experiment (e.g. HPLC), or specific assay types (e.g glucose pulse)

Dear SEEK users, this Assay is just an example Excel sheet for intracellular metabolites concentration measurements performed using cell culture growing in chemostat

Some generic examples of transcriptomics templates that conform to the MAGE-TAB specification. These templates were created and modified from templates produced by ArrayExpress and GEO. These templates are generic and non-specific for any particular array platform.

Some examples of proteomics templates for Mass Spectrometry data that conform to the MIAPE specification

This Excel template is the general (master) template for any type of metabolomics data. It can be used as it is, or extended and modified to create a more specific templates for particular technologies and assay types.

Some examples of transcriptomics templates for Affymetrix data that conform to the MAGE-TAB specification. These templates were taken from the GEO website (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html) and modified to conform to the SysMO-JERM (Just enough Results Model) for transcriptomics. Using these templates will mean easier submission to GEO/ArrayExpress and greater consistency of data in SEEK.

A example of an RT-PCR Excel template. RT-PCR is Reverse Transcriptase PCR (NOT to be confused with Real Time PCR, which is normally referred to as qPCR)

This template was taken from the GEO website (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html) and modified to conform to the SysMO-JERM (Just enough Results Model) for transcriptomics. Using templates will mean easier submission to public databases on publication and greater consistency of data in SEEK.

This Excel template is an example taken from the GEO web site (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html#GAtemplates) which has been modified to conform to the SysMO JERM (Just Enough Results Model). Using templates helps with searching and comparing data as well as making it easier to submit data to public repositories for publications.

Some examples of transcriptomics templates for NimbleGen data that conform to the MAGE-TAB specification. These templates were taken from the GEO website (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html) and modified to conform to the SysMO-JERM (Just enough Results Model) for transcriptomics. Using templates will mean easier submission to GEO/ArrayExpress upon publication and greater consistency of data in SEEK for easier searching and comparing.

Examples of proteomics templates for gele electrophoresis data that conform to the MIAPE-GE specification

Here published artikel about The FAIR Guiding Principles for scientific data management and stewardship

test file

This guidlines has been developed by Rita Volkers from Wageningen University for IBISBA project, as example to use

FAIRDOM User Meeting Introduction

FAIRDOM Introduction

Step-by-step instructions for hands on session

Presented by Yannick Wurm at the first FAIRDOM user meeting.

Talk by Jon Olav Vik, Norwegian University of Life Sciences

Talk given by Tomasz Zieliński

Talk given by Sergey Lashin from Institute of Cytology and Genetics, Novosibirsk, Russia

Presented by Martin Böhm, German Cancer Research Center, Heidelberg, Germany

Talk by Jacky Snoep, Stellenbosch University, SA

Our group develops computational models of the liver within the German systems biology projects VLN (Virtual Liver Network) and LiSyM (Systems Medicine of the Liver). In this talk we present our experiences in data and model management in recent years and future directions towards reproducible computational research we plan to implement.

We give an overview over the role of Fairdom and SEEK within our data management solution and how this integrates with and complements other approaches such as ...

Managing your data and metadata well is an important research skill. Good data management enables the preparation, handling, storing, sharing, and reuse of data. These attributes of good data management equates to efficient research and saving of time and resources. Data management tools, utilizing data standards and best practices can help to make your research data and models FAIR (Findable, Accessible, Interoperable and Reusable).

SEEK, is a web-based (or locally installed) resource platform ...

Good data and model management improves the longevity and impact of your interdisciplinary research. FAIRDOM offers software and expertise to support you in better managing your interdisciplinary life-science projects, particularly in systems and synthetic biology. If you have never heard of data and model management, or are curious about it, or you are an expert keen to exchange ideas, our user meeting is the place for you! At the meeting you can

• Learn why data and model management is important, ...