SlideShare a Scribd company logo
1 of 32
Download to read offline
Information Management (and more) at
the Statistics and Bioinformatics Unit,
Vall d’Hebrón Institut de Recerca (VHIR)
with the Wiki-Tiki CMS system
Alex Sánchez1,2, Xavier de Pedro2, Ferran Briansó2
1Departament d’Estadística UB
2Statistics and Bioinformatics Unit (VHIR)
Vall d’Hebron Research Institute
Unitat d’Alta Tecnologia
Statistics and Bioinformatics Unit

4
UEB services
We provide support in …
Data analysis
OMICS & STandard

Bioinformatics

• Microarrays,

• Web & Database
development

• RTqPCR

• Pipelines development

Consulting

• HPC services

• Methylation

Training

• Exome sequencing
• Clinical /
Epidemiological

• Sample size

• Courses

• Metagenomics

• Short Workshops

• Experimental design

• Official training
(MSc)

• GRANT review
• Statistical parts of
papers
UEB resources – We work with ...
UEB goals – We aim at...
• We aim at providing high quality support
– Services / Innovation / Teaching

• How can we get to it?
– We need highly qualified technicians
– State of the art tools & resources (OS)
– A profesional approach to service
• Provide value for money
• Produce well documented, reproducible, results
• Manage projects and processes adequately

– We are working to obtain ISO-9001
UEB Projects & Processes
• Main type of projects
- Omics Data Analysis
- Information management
•
-

Information flow
Meetings
Analysis/Reports/Results
Databases
Customers/Studies
- Process management
- Documentation/Protocols
1. Accounting for quality in
studies & projects
• Create automatic & reproducible
workflows.
– Easy to use by different (expert)
technicians
– Possibility to reproduce
• Identically for verification
• With variations for process tuning

– Maintained with Bazar
(Version Control System)

• Different technologies
– R / Latex / Sweave(knitr)
– perl / shell programs
– Taverna / Galaxy
2. Controlling information flows
First wave

Next wave (Tiki)

• Several systems

• One unique system

– Google
• Docs, calendars
• Spreadsheets

– Dropbox
– MS-Acces databases

– Very good for
• Documentation
• File/Image sharing
• Event /Calendar
management.
– Trackers for
• databases
• Tasks, projects
– Extra bonus!
• R web applications
The Tiki-Wiki CMS
Main Features
The wiki-way
Features 1 - Wiki pages
• Simple editor
– Fonts, Lists, Headings
– Links, Tables. Images

• Markdown-like or wysiwig
• Real time edit (no uploads)
Ex. 1- A simple wiki page
Features 2 – Wiki structures
• Facilities to manage
page structures
– Add pages easily
– Structure layout
– Table of contents
Example 2- UEB page layout
Features 3 –Granular permissions system
Features 4 – Calendar & Events
Features 5 - Files
Web folders from
Tiki file galeries

Web Dav: direct access
from office apps
Features 6 - Trackers
Online databases
Form & database
tightly integrated
Use it to “track”
processes.
Easy to configure
views
Examples 6- UEB task trackers

• Other UEB trackers
- Studies,
- Projects
- Customers
- Consultings
Alltogether: ueb.vhir.org
(public)
Alltogether: ueb.vhir.org
(internal)
In summary
– Using the Tiki-Wiki CMS information flows
happening in our unit can be managed.
• Wiki pages for
– Documentats & Protocols
– Teaching materials

• Trackers for
– Studies & Customers databases
– Project & Task management

• Calendars & News for planning and informing
• File & Image galleries for safestoring

– All finely customized thanks to permissions
There is more than this
• A common important need is to be able
to use R from the web
– Internally: Create GUI to automate process
• Call pipelines
• Collect results

– Externally
• Provide common-use tools to users
– Increase visibility
– Saves us from repeating monotonous tasks
» E.g. Post exploiting results
R in the web:
Many tools, no winner
• Many tools
– Recent
• Shiny, Concert,
rook, Rapache

– Older
• CGIwithR, Rphp,

• Usually hard to
implement
Our choice (Tiki + pluginR)
Example:
ueb.vhir.org/heatmaps
Example: Basic Pipe
Current version

Web version

• R/Sweave
• Covers all steps for
a MDA
• Start with a (long)
parameters file
• Run R/Sweave
• Output

• Use trackers/forms to

– Results
• Tables
• Figures

– Report
– HTML browser

– Build parameters file
– Control execution/iteration

• Use File/Image galleries to
– Store results, plots

• Use wiki page to present
– Report
– Give access to results
In summary (2)
• The Wiki-Tiki CMS has interesting
capabilities to empower efficient work
at all levels.
• In a context where it can be necessary
to create web pages implementing R
programs, combining Tiki with R
through pluginR is a powerful approach.
Acknowledgments
The members of the Unitat d’Estadística i
Bioinformàtica of the VHIR
https://ueb.vhir.org
Xavi de Pedro – Tiki developer
Ferran B.
J.L Mosquera
Tiki testers/users
Ricardo Gonzalo
Unitat d’alta tecnologia at VHIR
https://uat.tiki.org
Grup de Recerca en Estadística i
Bioinformàtica (UB)
https://eib.stat.ub.edu

More Related Content

What's hot

CIL 2020 - Bringing Collections to the Screen
CIL 2020 - Bringing Collections to the ScreenCIL 2020 - Bringing Collections to the Screen
CIL 2020 - Bringing Collections to the ScreenMatthew Ragucci
 
Successful E-Resource Acquisitions: Looking Beyond Selecting, Ordering, Payin...
Successful E-Resource Acquisitions: Looking Beyond Selecting, Ordering, Payin...Successful E-Resource Acquisitions: Looking Beyond Selecting, Ordering, Payin...
Successful E-Resource Acquisitions: Looking Beyond Selecting, Ordering, Payin...Charleston Conference
 
Kristin Danielsen - On the road to completing interactive reading lists - EBS...
Kristin Danielsen - On the road to completing interactive reading lists - EBS...Kristin Danielsen - On the road to completing interactive reading lists - EBS...
Kristin Danielsen - On the road to completing interactive reading lists - EBS...Talis
 
Getting on the Same Page: Aligning ERM and LIbGuides Content
Getting on the Same Page: Aligning ERM and LIbGuides ContentGetting on the Same Page: Aligning ERM and LIbGuides Content
Getting on the Same Page: Aligning ERM and LIbGuides ContentNASIG
 
Empire State Digital Network (ESDN) Project Update for ASCLA-CDIG, Midwinter ...
Empire State Digital Network (ESDN) Project Update for ASCLA-CDIG, Midwinter ...Empire State Digital Network (ESDN) Project Update for ASCLA-CDIG, Midwinter ...
Empire State Digital Network (ESDN) Project Update for ASCLA-CDIG, Midwinter ...kerriwillette
 
150310 Implementing Alma for LIBISnet
150310 Implementing Alma for LIBISnet150310 Implementing Alma for LIBISnet
150310 Implementing Alma for LIBISnetJo Rademakers
 
Embracing Changing Technology and New Technical Services Workflows in Migrati...
Embracing Changing Technology and New Technical Services Workflows in Migrati...Embracing Changing Technology and New Technical Services Workflows in Migrati...
Embracing Changing Technology and New Technical Services Workflows in Migrati...NASIG
 
ARK de Triumph: Linking Finding Aids & Digital Libraries Using a Low-Tech App...
ARK de Triumph: Linking Finding Aids & Digital Libraries Using a Low-Tech App...ARK de Triumph: Linking Finding Aids & Digital Libraries Using a Low-Tech App...
ARK de Triumph: Linking Finding Aids & Digital Libraries Using a Low-Tech App...Andrea Payant
 
Do Serials have a Place in the Institutional Digital Repository?
Do Serials have a Place in the Institutional Digital Repository?Do Serials have a Place in the Institutional Digital Repository?
Do Serials have a Place in the Institutional Digital Repository?NASIG
 

What's hot (13)

Digital Preservation at UNM Libraries
Digital Preservation at UNM LibrariesDigital Preservation at UNM Libraries
Digital Preservation at UNM Libraries
 
CIL 2020 - Bringing Collections to the Screen
CIL 2020 - Bringing Collections to the ScreenCIL 2020 - Bringing Collections to the Screen
CIL 2020 - Bringing Collections to the Screen
 
Successful E-Resource Acquisitions: Looking Beyond Selecting, Ordering, Payin...
Successful E-Resource Acquisitions: Looking Beyond Selecting, Ordering, Payin...Successful E-Resource Acquisitions: Looking Beyond Selecting, Ordering, Payin...
Successful E-Resource Acquisitions: Looking Beyond Selecting, Ordering, Payin...
 
Kristin Danielsen - On the road to completing interactive reading lists - EBS...
Kristin Danielsen - On the road to completing interactive reading lists - EBS...Kristin Danielsen - On the road to completing interactive reading lists - EBS...
Kristin Danielsen - On the road to completing interactive reading lists - EBS...
 
Getting on the Same Page: Aligning ERM and LIbGuides Content
Getting on the Same Page: Aligning ERM and LIbGuides ContentGetting on the Same Page: Aligning ERM and LIbGuides Content
Getting on the Same Page: Aligning ERM and LIbGuides Content
 
Cummings Level Up: Building Data Services
Cummings Level Up: Building Data ServicesCummings Level Up: Building Data Services
Cummings Level Up: Building Data Services
 
Empire State Digital Network (ESDN) Project Update for ASCLA-CDIG, Midwinter ...
Empire State Digital Network (ESDN) Project Update for ASCLA-CDIG, Midwinter ...Empire State Digital Network (ESDN) Project Update for ASCLA-CDIG, Midwinter ...
Empire State Digital Network (ESDN) Project Update for ASCLA-CDIG, Midwinter ...
 
150310 Implementing Alma for LIBISnet
150310 Implementing Alma for LIBISnet150310 Implementing Alma for LIBISnet
150310 Implementing Alma for LIBISnet
 
Embracing Changing Technology and New Technical Services Workflows in Migrati...
Embracing Changing Technology and New Technical Services Workflows in Migrati...Embracing Changing Technology and New Technical Services Workflows in Migrati...
Embracing Changing Technology and New Technical Services Workflows in Migrati...
 
ARK de Triumph: Linking Finding Aids & Digital Libraries Using a Low-Tech App...
ARK de Triumph: Linking Finding Aids & Digital Libraries Using a Low-Tech App...ARK de Triumph: Linking Finding Aids & Digital Libraries Using a Low-Tech App...
ARK de Triumph: Linking Finding Aids & Digital Libraries Using a Low-Tech App...
 
Tools for Collaborative Working
Tools for Collaborative WorkingTools for Collaborative Working
Tools for Collaborative Working
 
Cataloguing with SUNCAT
Cataloguing with SUNCATCataloguing with SUNCAT
Cataloguing with SUNCAT
 
Do Serials have a Place in the Institutional Digital Repository?
Do Serials have a Place in the Institutional Digital Repository?Do Serials have a Place in the Institutional Digital Repository?
Do Serials have a Place in the Institutional Digital Repository?
 

Viewers also liked

Introduction to Functional Analysis with IPA (UEB-UAT Bioinformatics Course -...
Introduction to Functional Analysis with IPA (UEB-UAT Bioinformatics Course -...Introduction to Functional Analysis with IPA (UEB-UAT Bioinformatics Course -...
Introduction to Functional Analysis with IPA (UEB-UAT Bioinformatics Course -...VHIR Vall d’Hebron Institut de Recerca
 
Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...
Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...
Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...VHIR Vall d’Hebron Institut de Recerca
 
Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...
Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...
Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...VHIR Vall d’Hebron Institut de Recerca
 
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...VHIR Vall d’Hebron Institut de Recerca
 
Basic Aspects of Microarray Technology and Data Analysis (UEB-UAT Bioinformat...
Basic Aspects of Microarray Technology and Data Analysis (UEB-UAT Bioinformat...Basic Aspects of Microarray Technology and Data Analysis (UEB-UAT Bioinformat...
Basic Aspects of Microarray Technology and Data Analysis (UEB-UAT Bioinformat...VHIR Vall d’Hebron Institut de Recerca
 
Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...
Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...
Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...VHIR Vall d’Hebron Institut de Recerca
 
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...VHIR Vall d’Hebron Institut de Recerca
 
Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...
Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...
Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...VHIR Vall d’Hebron Institut de Recerca
 
Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...
Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...
Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...VHIR Vall d’Hebron Institut de Recerca
 
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...VHIR Vall d’Hebron Institut de Recerca
 
Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...
Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...
Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...VHIR Vall d’Hebron Institut de Recerca
 
NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...
NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...
NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...VHIR Vall d’Hebron Institut de Recerca
 
NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...
NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...
NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...VHIR Vall d’Hebron Institut de Recerca
 

Viewers also liked (16)

Introduction to Functional Analysis with IPA (UEB-UAT Bioinformatics Course -...
Introduction to Functional Analysis with IPA (UEB-UAT Bioinformatics Course -...Introduction to Functional Analysis with IPA (UEB-UAT Bioinformatics Course -...
Introduction to Functional Analysis with IPA (UEB-UAT Bioinformatics Course -...
 
Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...
Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...
Storing and Accessing Information. Databases and Queries (UEB-UAT Bioinformat...
 
Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...
Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...
Introduction to Bioinformatics (UEB-UAT Bioinformatics Course - Session 1.1 -...
 
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensem...
 
Basic Aspects of Microarray Technology and Data Analysis (UEB-UAT Bioinformat...
Basic Aspects of Microarray Technology and Data Analysis (UEB-UAT Bioinformat...Basic Aspects of Microarray Technology and Data Analysis (UEB-UAT Bioinformat...
Basic Aspects of Microarray Technology and Data Analysis (UEB-UAT Bioinformat...
 
Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...
Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...
Introduction to Galaxy (UEB-UAT Bioinformatics Course - Session 2.2 - VHIR, B...
 
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de RT-qPCR
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de RT-qPCRCurso de Genómica - UAT (VHIR) 2012 - Análisis de datos de RT-qPCR
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de RT-qPCR
 
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
 
Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...
Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...
Brief Overview to Amplicon Variant Analysis (UEB-UAT Bioinformatics Course - ...
 
Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...
Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...
Introduction to NGS Variant Calling Analysis (UEB-UAT Bioinformatics Course -...
 
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
Introduction to RNA-seq and RNA-seq Data Analysis (UEB-UAT Bioinformatics Cou...
 
Introduction to Metagenomics Data Analysis - UEB-VHIR - 2013
Introduction to Metagenomics Data Analysis - UEB-VHIR - 2013Introduction to Metagenomics Data Analysis - UEB-VHIR - 2013
Introduction to Metagenomics Data Analysis - UEB-VHIR - 2013
 
Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...
Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...
Introduction to Metagenomics. Applications, Approaches and Tools (Bioinformat...
 
NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...
NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...
NGS Applications I (UEB-UAT Bioinformatics Course - Session 2.1.2 - VHIR, Bar...
 
NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...
NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...
NGS Introduction and Technology Overview (UEB-UAT Bioinformatics Course - Ses...
 
Introduction to next generation sequencing
Introduction to next generation sequencingIntroduction to next generation sequencing
Introduction to next generation sequencing
 

Similar to Information management at vhir ueb using tiki-cms

From Millennium ERMS to Proquest 360 Resource Manager
From Millennium ERMS to Proquest 360 Resource ManagerFrom Millennium ERMS to Proquest 360 Resource Manager
From Millennium ERMS to Proquest 360 Resource ManagerRindra Ramli
 
Big_data_1674238705.ppt is a basic background
Big_data_1674238705.ppt is a basic backgroundBig_data_1674238705.ppt is a basic background
Big_data_1674238705.ppt is a basic backgroundNidhiAhuja30
 
UCSF Informatics Day 2014 - Jocel Dumlao, "REDCap / MyResearch"
UCSF Informatics Day 2014 - Jocel Dumlao, "REDCap / MyResearch"UCSF Informatics Day 2014 - Jocel Dumlao, "REDCap / MyResearch"
UCSF Informatics Day 2014 - Jocel Dumlao, "REDCap / MyResearch"CTSI at UCSF
 
Efficient & effective data management for research projects : ILRI's Data Ma...
Efficient & effective  data management for research projects : ILRI's Data Ma...Efficient & effective  data management for research projects : ILRI's Data Ma...
Efficient & effective data management for research projects : ILRI's Data Ma...CIARD Movement
 
Using Archivemedia to preserve research data
Using Archivemedia to preserve research dataUsing Archivemedia to preserve research data
Using Archivemedia to preserve research dataARDC
 
Taverna workflows in the cloud
Taverna workflows in the cloudTaverna workflows in the cloud
Taverna workflows in the cloudmyGrid team
 
A machine learning and data science pipeline for real companies
A machine learning and data science pipeline for real companiesA machine learning and data science pipeline for real companies
A machine learning and data science pipeline for real companiesDataWorks Summit
 
Project update: A collaborative approach to "filling the digital preservation...
Project update: A collaborative approach to "filling the digital preservation...Project update: A collaborative approach to "filling the digital preservation...
Project update: A collaborative approach to "filling the digital preservation...Jenny Mitcham
 
Collaborative Working: University of Sunderland & Roundhouse Digital
Collaborative Working: University of Sunderland & Roundhouse Digital Collaborative Working: University of Sunderland & Roundhouse Digital
Collaborative Working: University of Sunderland & Roundhouse Digital Terminalfour
 
Share Point Sat Share Point 2010 And Content Migration
Share Point Sat Share Point 2010 And Content MigrationShare Point Sat Share Point 2010 And Content Migration
Share Point Sat Share Point 2010 And Content MigrationNadir Kamdar
 
Scalable Preservation Workflows
Scalable Preservation WorkflowsScalable Preservation Workflows
Scalable Preservation WorkflowsSCAPE Project
 
Crossing Analytics Systems: Case for Integrated Provenance in Data Lakes
Crossing Analytics Systems: Case for Integrated Provenance in Data LakesCrossing Analytics Systems: Case for Integrated Provenance in Data Lakes
Crossing Analytics Systems: Case for Integrated Provenance in Data LakesIsuru Suriarachchi
 
USG Summit - September 2014 - Web Management using Drupal
USG Summit - September 2014 - Web Management using DrupalUSG Summit - September 2014 - Web Management using Drupal
USG Summit - September 2014 - Web Management using DrupalEric Sembrat
 
Building Modern Digital Services on Scalable Private Government Infrastructur...
Building Modern Digital Services on Scalable Private Government Infrastructur...Building Modern Digital Services on Scalable Private Government Infrastructur...
Building Modern Digital Services on Scalable Private Government Infrastructur...Andrés Colón Pérez
 
ActiveMigrate - ECM Renovation Roadshow
ActiveMigrate - ECM Renovation RoadshowActiveMigrate - ECM Renovation Roadshow
ActiveMigrate - ECM Renovation RoadshowZia Consulting
 
#OSSPARIS19 : Comment ONLYOFFICE aide à organiser les travaux de recherches ...
#OSSPARIS19 : Comment ONLYOFFICE aide à organiser les travaux de recherches  ...#OSSPARIS19 : Comment ONLYOFFICE aide à organiser les travaux de recherches  ...
#OSSPARIS19 : Comment ONLYOFFICE aide à organiser les travaux de recherches ...Paris Open Source Summit
 
Implimenting and Mitigating Change with all of this Newfangled Technology
Implimenting and Mitigating Change with all of this Newfangled TechnologyImplimenting and Mitigating Change with all of this Newfangled Technology
Implimenting and Mitigating Change with all of this Newfangled TechnologyIndiana Online Users Group
 
Unbundling the Modern Streaming Stack With Dunith Dhanushka | Current 2022
Unbundling the Modern Streaming Stack With Dunith Dhanushka | Current 2022Unbundling the Modern Streaming Stack With Dunith Dhanushka | Current 2022
Unbundling the Modern Streaming Stack With Dunith Dhanushka | Current 2022HostedbyConfluent
 
"Filling the Digital Preservation Gap" with Archivematica
"Filling the Digital Preservation Gap" with Archivematica"Filling the Digital Preservation Gap" with Archivematica
"Filling the Digital Preservation Gap" with ArchivematicaJenny Mitcham
 

Similar to Information management at vhir ueb using tiki-cms (20)

From Millennium ERMS to Proquest 360 Resource Manager
From Millennium ERMS to Proquest 360 Resource ManagerFrom Millennium ERMS to Proquest 360 Resource Manager
From Millennium ERMS to Proquest 360 Resource Manager
 
Big_data_1674238705.ppt is a basic background
Big_data_1674238705.ppt is a basic backgroundBig_data_1674238705.ppt is a basic background
Big_data_1674238705.ppt is a basic background
 
UCSF Informatics Day 2014 - Jocel Dumlao, "REDCap / MyResearch"
UCSF Informatics Day 2014 - Jocel Dumlao, "REDCap / MyResearch"UCSF Informatics Day 2014 - Jocel Dumlao, "REDCap / MyResearch"
UCSF Informatics Day 2014 - Jocel Dumlao, "REDCap / MyResearch"
 
Efficient & effective data management for research projects : ILRI's Data Ma...
Efficient & effective  data management for research projects : ILRI's Data Ma...Efficient & effective  data management for research projects : ILRI's Data Ma...
Efficient & effective data management for research projects : ILRI's Data Ma...
 
Aggregation workflow
Aggregation workflowAggregation workflow
Aggregation workflow
 
Using Archivemedia to preserve research data
Using Archivemedia to preserve research dataUsing Archivemedia to preserve research data
Using Archivemedia to preserve research data
 
Taverna workflows in the cloud
Taverna workflows in the cloudTaverna workflows in the cloud
Taverna workflows in the cloud
 
A machine learning and data science pipeline for real companies
A machine learning and data science pipeline for real companiesA machine learning and data science pipeline for real companies
A machine learning and data science pipeline for real companies
 
Project update: A collaborative approach to "filling the digital preservation...
Project update: A collaborative approach to "filling the digital preservation...Project update: A collaborative approach to "filling the digital preservation...
Project update: A collaborative approach to "filling the digital preservation...
 
Collaborative Working: University of Sunderland & Roundhouse Digital
Collaborative Working: University of Sunderland & Roundhouse Digital Collaborative Working: University of Sunderland & Roundhouse Digital
Collaborative Working: University of Sunderland & Roundhouse Digital
 
Share Point Sat Share Point 2010 And Content Migration
Share Point Sat Share Point 2010 And Content MigrationShare Point Sat Share Point 2010 And Content Migration
Share Point Sat Share Point 2010 And Content Migration
 
Scalable Preservation Workflows
Scalable Preservation WorkflowsScalable Preservation Workflows
Scalable Preservation Workflows
 
Crossing Analytics Systems: Case for Integrated Provenance in Data Lakes
Crossing Analytics Systems: Case for Integrated Provenance in Data LakesCrossing Analytics Systems: Case for Integrated Provenance in Data Lakes
Crossing Analytics Systems: Case for Integrated Provenance in Data Lakes
 
USG Summit - September 2014 - Web Management using Drupal
USG Summit - September 2014 - Web Management using DrupalUSG Summit - September 2014 - Web Management using Drupal
USG Summit - September 2014 - Web Management using Drupal
 
Building Modern Digital Services on Scalable Private Government Infrastructur...
Building Modern Digital Services on Scalable Private Government Infrastructur...Building Modern Digital Services on Scalable Private Government Infrastructur...
Building Modern Digital Services on Scalable Private Government Infrastructur...
 
ActiveMigrate - ECM Renovation Roadshow
ActiveMigrate - ECM Renovation RoadshowActiveMigrate - ECM Renovation Roadshow
ActiveMigrate - ECM Renovation Roadshow
 
#OSSPARIS19 : Comment ONLYOFFICE aide à organiser les travaux de recherches ...
#OSSPARIS19 : Comment ONLYOFFICE aide à organiser les travaux de recherches  ...#OSSPARIS19 : Comment ONLYOFFICE aide à organiser les travaux de recherches  ...
#OSSPARIS19 : Comment ONLYOFFICE aide à organiser les travaux de recherches ...
 
Implimenting and Mitigating Change with all of this Newfangled Technology
Implimenting and Mitigating Change with all of this Newfangled TechnologyImplimenting and Mitigating Change with all of this Newfangled Technology
Implimenting and Mitigating Change with all of this Newfangled Technology
 
Unbundling the Modern Streaming Stack With Dunith Dhanushka | Current 2022
Unbundling the Modern Streaming Stack With Dunith Dhanushka | Current 2022Unbundling the Modern Streaming Stack With Dunith Dhanushka | Current 2022
Unbundling the Modern Streaming Stack With Dunith Dhanushka | Current 2022
 
"Filling the Digital Preservation Gap" with Archivematica
"Filling the Digital Preservation Gap" with Archivematica"Filling the Digital Preservation Gap" with Archivematica
"Filling the Digital Preservation Gap" with Archivematica
 

More from VHIR Vall d’Hebron Institut de Recerca

Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génica
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génicaCurso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génica
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génicaVHIR Vall d’Hebron Institut de Recerca
 
Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...
Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...
Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...VHIR Vall d’Hebron Institut de Recerca
 
Curso de Genómica - UAT (VHIR) 2012 - Aplicaciones de las tecnologías de alto...
Curso de Genómica - UAT (VHIR) 2012 - Aplicaciones de las tecnologías de alto...Curso de Genómica - UAT (VHIR) 2012 - Aplicaciones de las tecnologías de alto...
Curso de Genómica - UAT (VHIR) 2012 - Aplicaciones de las tecnologías de alto...VHIR Vall d’Hebron Institut de Recerca
 

More from VHIR Vall d’Hebron Institut de Recerca (13)

Curso de Genómica - UAT (VHIR) 2012 - RT-qPCR
Curso de Genómica - UAT (VHIR) 2012 - RT-qPCRCurso de Genómica - UAT (VHIR) 2012 - RT-qPCR
Curso de Genómica - UAT (VHIR) 2012 - RT-qPCR
 
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génica
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génicaCurso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génica
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de expression génica
 
Curso de Genómica - UAT (VHIR) 2012 - Microarrays
Curso de Genómica - UAT (VHIR) 2012 - MicroarraysCurso de Genómica - UAT (VHIR) 2012 - Microarrays
Curso de Genómica - UAT (VHIR) 2012 - Microarrays
 
Curso de Genómica - UAT (VHIR) 2012 - Arrays de Proteínas Zeptosens
 Curso de Genómica - UAT (VHIR) 2012 - Arrays de Proteínas Zeptosens Curso de Genómica - UAT (VHIR) 2012 - Arrays de Proteínas Zeptosens
Curso de Genómica - UAT (VHIR) 2012 - Arrays de Proteínas Zeptosens
 
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de NGS
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de NGSCurso de Genómica - UAT (VHIR) 2012 - Análisis de datos de NGS
Curso de Genómica - UAT (VHIR) 2012 - Análisis de datos de NGS
 
Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...
Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...
Curso de Genómica - UAT (VHIR) 2012 - Tecnologías de Ultrasecuenciación y de ...
 
Curso de Genómica - UAT (VHIR) 2012 - Aplicaciones de las tecnologías de alto...
Curso de Genómica - UAT (VHIR) 2012 - Aplicaciones de las tecnologías de alto...Curso de Genómica - UAT (VHIR) 2012 - Aplicaciones de las tecnologías de alto...
Curso de Genómica - UAT (VHIR) 2012 - Aplicaciones de las tecnologías de alto...
 
Course VHIR-UCTS-UEB - Session 3 - Statistical Analysis
Course VHIR-UCTS-UEB - Session 3 -  Statistical AnalysisCourse VHIR-UCTS-UEB - Session 3 -  Statistical Analysis
Course VHIR-UCTS-UEB - Session 3 - Statistical Analysis
 
Course VHIR-UCTS-UEB - Session 2 - RTqPCR
Course VHIR-UCTS-UEB - Session 2 -  RTqPCRCourse VHIR-UCTS-UEB - Session 2 -  RTqPCR
Course VHIR-UCTS-UEB - Session 2 - RTqPCR
 
Course VHIR-UCTS-UEB - Session 1 - Microarrays
Course VHIR-UCTS-UEB - Session 1 - MicroarraysCourse VHIR-UCTS-UEB - Session 1 - Microarrays
Course VHIR-UCTS-UEB - Session 1 - Microarrays
 
2011 use r_tiki_pluginr
2011 use r_tiki_pluginr2011 use r_tiki_pluginr
2011 use r_tiki_pluginr
 
Curs einesbioinformatiques juny2011_bloc1_sessio3
Curs einesbioinformatiques juny2011_bloc1_sessio3Curs einesbioinformatiques juny2011_bloc1_sessio3
Curs einesbioinformatiques juny2011_bloc1_sessio3
 
EiB Seminar from Antoni Miñarro, Ph.D
EiB Seminar from Antoni Miñarro, Ph.DEiB Seminar from Antoni Miñarro, Ph.D
EiB Seminar from Antoni Miñarro, Ph.D
 

Recently uploaded

The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????blackmambaettijean
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 

Recently uploaded (20)

The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 

Information management at vhir ueb using tiki-cms

  • 1. Information Management (and more) at the Statistics and Bioinformatics Unit, Vall d’Hebrón Institut de Recerca (VHIR) with the Wiki-Tiki CMS system Alex Sánchez1,2, Xavier de Pedro2, Ferran Briansó2 1Departament d’Estadística UB 2Statistics and Bioinformatics Unit (VHIR)
  • 5. UEB services We provide support in … Data analysis OMICS & STandard Bioinformatics • Microarrays, • Web & Database development • RTqPCR • Pipelines development Consulting • HPC services • Methylation Training • Exome sequencing • Clinical / Epidemiological • Sample size • Courses • Metagenomics • Short Workshops • Experimental design • Official training (MSc) • GRANT review • Statistical parts of papers
  • 6. UEB resources – We work with ...
  • 7. UEB goals – We aim at... • We aim at providing high quality support – Services / Innovation / Teaching • How can we get to it? – We need highly qualified technicians – State of the art tools & resources (OS) – A profesional approach to service • Provide value for money • Produce well documented, reproducible, results • Manage projects and processes adequately – We are working to obtain ISO-9001
  • 8. UEB Projects & Processes • Main type of projects - Omics Data Analysis - Information management • - Information flow Meetings Analysis/Reports/Results Databases Customers/Studies - Process management - Documentation/Protocols
  • 9. 1. Accounting for quality in studies & projects • Create automatic & reproducible workflows. – Easy to use by different (expert) technicians – Possibility to reproduce • Identically for verification • With variations for process tuning – Maintained with Bazar (Version Control System) • Different technologies – R / Latex / Sweave(knitr) – perl / shell programs – Taverna / Galaxy
  • 10. 2. Controlling information flows First wave Next wave (Tiki) • Several systems • One unique system – Google • Docs, calendars • Spreadsheets – Dropbox – MS-Acces databases – Very good for • Documentation • File/Image sharing • Event /Calendar management. – Trackers for • databases • Tasks, projects – Extra bonus! • R web applications
  • 14. Features 1 - Wiki pages • Simple editor – Fonts, Lists, Headings – Links, Tables. Images • Markdown-like or wysiwig • Real time edit (no uploads)
  • 15. Ex. 1- A simple wiki page
  • 16. Features 2 – Wiki structures • Facilities to manage page structures – Add pages easily – Structure layout – Table of contents
  • 17. Example 2- UEB page layout
  • 18. Features 3 –Granular permissions system
  • 19. Features 4 – Calendar & Events
  • 20. Features 5 - Files Web folders from Tiki file galeries Web Dav: direct access from office apps
  • 21. Features 6 - Trackers Online databases Form & database tightly integrated Use it to “track” processes. Easy to configure views
  • 22. Examples 6- UEB task trackers • Other UEB trackers - Studies, - Projects - Customers - Consultings
  • 25. In summary – Using the Tiki-Wiki CMS information flows happening in our unit can be managed. • Wiki pages for – Documentats & Protocols – Teaching materials • Trackers for – Studies & Customers databases – Project & Task management • Calendars & News for planning and informing • File & Image galleries for safestoring – All finely customized thanks to permissions
  • 26. There is more than this • A common important need is to be able to use R from the web – Internally: Create GUI to automate process • Call pipelines • Collect results – Externally • Provide common-use tools to users – Increase visibility – Saves us from repeating monotonous tasks » E.g. Post exploiting results
  • 27. R in the web: Many tools, no winner • Many tools – Recent • Shiny, Concert, rook, Rapache – Older • CGIwithR, Rphp, • Usually hard to implement
  • 28. Our choice (Tiki + pluginR)
  • 30. Example: Basic Pipe Current version Web version • R/Sweave • Covers all steps for a MDA • Start with a (long) parameters file • Run R/Sweave • Output • Use trackers/forms to – Results • Tables • Figures – Report – HTML browser – Build parameters file – Control execution/iteration • Use File/Image galleries to – Store results, plots • Use wiki page to present – Report – Give access to results
  • 31. In summary (2) • The Wiki-Tiki CMS has interesting capabilities to empower efficient work at all levels. • In a context where it can be necessary to create web pages implementing R programs, combining Tiki with R through pluginR is a powerful approach.
  • 32. Acknowledgments The members of the Unitat d’Estadística i Bioinformàtica of the VHIR https://ueb.vhir.org Xavi de Pedro – Tiki developer Ferran B. J.L Mosquera Tiki testers/users Ricardo Gonzalo Unitat d’alta tecnologia at VHIR https://uat.tiki.org Grup de Recerca en Estadística i Bioinformàtica (UB) https://eib.stat.ub.edu