SlideShare a Scribd company logo
1 of 9
Download to read offline
Research Data Management
for Computational Science
Gerard Gorman
g.gorman@imperial.ac.uk
Christian Jacobs
c.jacobs10@imperial.ac.uk
1 / 9
Data requirements
Data produced by scientific software should be reproducible and
recomputable.
This requires:
raw data (input and output files)
the software (with info about the specific version used) to produce it
provenance data
We need a way of curating this data and software at the push of a
button...
...and a way of referencing it correctly in papers.
2 / 9
Figshare
In addition to papers and figures, Figshare (figshare.com) provides
hosting for datasets.
Each dataset is given its own Digital Object Identifier (DOI).
Programs developed by users can interface with Figshare via the
Figshare API.
3 / 9
Aims
Develop a program to automatically push software and data to
Figshare.
Incorporate this program into the workflow of Fluidity – an
open-source CFD code for fluid flow simulations
(http://amcg.ese.ic.ac.uk/fluidity).
DOIs are ‘minted’ automatically, and added to the current metadata
of simulation output.
4 / 9
Fluidity with RDM support
Current progress
Implementation of a Python program which enables the publication of
both software and data to Figshare.
Addition of a ‘publish’ option to Fluidity simulation setup files.
New DOIs created when:
Software is pushed to Figshare (if the specific version of the software,
identified by the git commit hash, has not been published already).
Input data is pushed to Figshare.
Output data is pushed to Figshare.
DOIs are recorded in the simulation setup file – if the simulation is
run again, the same DOI is used to store the data.
In the future, we will use MD5sums.
5 / 9
Fluidity with RDM support
Screenshot of the ‘publish’ option in the Fluidity simulation setup file. 6 / 9
Fluidity with RDM support
Example: simulation of the top hat cg supg test case
Screenshot of software, input data and output data automatically pushed to Figshare.
7 / 9
Links
The Software Sustainability Institute: www.software.ac.uk
Digital Curation Centre: www.dcc.ac.uk
Software Carpentry: software-carpentry.org (and Data
Carpentry: nescent.github.io/2014-05-08-datacarpentry)
Fidgit: www.github.com/arfon/fidgit
Reproducible Research course:
https://www.coursera.org/course/repdata
ROpenSci’s Reproducibility Guide:
http://ropensci.github.io/reproducibility-guide
8 / 9
’It has always been my habit to hide none of my methods, either
from my friend Watson or from any one who might take an
intelligent interest in them.’
Sherlock Holmes
9 / 9

More Related Content

What's hot

Image Caption Generation: Intro to Distributed Tensorflow and Distributed Sco...
Image Caption Generation: Intro to Distributed Tensorflow and Distributed Sco...Image Caption Generation: Intro to Distributed Tensorflow and Distributed Sco...
Image Caption Generation: Intro to Distributed Tensorflow and Distributed Sco...ICTeam S.p.A.
 
Open Services for Lifecycle Collaboration (OSLC)
Open Services for Lifecycle Collaboration (OSLC) Open Services for Lifecycle Collaboration (OSLC)
Open Services for Lifecycle Collaboration (OSLC) Axel Reichwein
 
Enabling the digital thread using open OSLC standards
Enabling the digital thread using open OSLC standardsEnabling the digital thread using open OSLC standards
Enabling the digital thread using open OSLC standardsAxel Reichwein
 
A view of graph data usage by Cerved
A view of graph data usage by CervedA view of graph data usage by Cerved
A view of graph data usage by CervedData Science Milan
 
TIN-X v2: modernized architecture with REST API
TIN-X v2: modernized architecture with REST APITIN-X v2: modernized architecture with REST API
TIN-X v2: modernized architecture with REST APIJeremy Yang
 
apidays LIVE Helsinki & North - 20 minutes to build a serverless COVID-19 RES...
apidays LIVE Helsinki & North - 20 minutes to build a serverless COVID-19 RES...apidays LIVE Helsinki & North - 20 minutes to build a serverless COVID-19 RES...
apidays LIVE Helsinki & North - 20 minutes to build a serverless COVID-19 RES...apidays
 
h5web: a web-based viewer of HDF5 files
h5web: a web-based viewer of HDF5 filesh5web: a web-based viewer of HDF5 files
h5web: a web-based viewer of HDF5 filesPaNOSC
 
Introduction to Open Services for Lifecycle Collaboration (OSLC)
Introduction to Open Services for Lifecycle Collaboration (OSLC)Introduction to Open Services for Lifecycle Collaboration (OSLC)
Introduction to Open Services for Lifecycle Collaboration (OSLC)Axel Reichwein
 
Data science for smart manufacturing at Pirelli
Data science for smart manufacturing at PirelliData science for smart manufacturing at Pirelli
Data science for smart manufacturing at PirelliData Science Milan
 
The A-Z of Data: Introduction to MLOps
The A-Z of Data: Introduction to MLOpsThe A-Z of Data: Introduction to MLOps
The A-Z of Data: Introduction to MLOpsDataPhoenix
 
Open DMPs: Machine Actionable open data management planning (Presentation at ...
Open DMPs: Machine Actionable open data management planning (Presentation at ...Open DMPs: Machine Actionable open data management planning (Presentation at ...
Open DMPs: Machine Actionable open data management planning (Presentation at ...OpenAIRE
 
Big Data Europe: Simplifying Development and Deployment of Big Data Applications
Big Data Europe: Simplifying Development and Deployment of Big Data ApplicationsBig Data Europe: Simplifying Development and Deployment of Big Data Applications
Big Data Europe: Simplifying Development and Deployment of Big Data ApplicationsBigData_Europe
 

What's hot (13)

Image Caption Generation: Intro to Distributed Tensorflow and Distributed Sco...
Image Caption Generation: Intro to Distributed Tensorflow and Distributed Sco...Image Caption Generation: Intro to Distributed Tensorflow and Distributed Sco...
Image Caption Generation: Intro to Distributed Tensorflow and Distributed Sco...
 
Open Services for Lifecycle Collaboration (OSLC)
Open Services for Lifecycle Collaboration (OSLC) Open Services for Lifecycle Collaboration (OSLC)
Open Services for Lifecycle Collaboration (OSLC)
 
Enabling the digital thread using open OSLC standards
Enabling the digital thread using open OSLC standardsEnabling the digital thread using open OSLC standards
Enabling the digital thread using open OSLC standards
 
A view of graph data usage by Cerved
A view of graph data usage by CervedA view of graph data usage by Cerved
A view of graph data usage by Cerved
 
Resume_VS
Resume_VSResume_VS
Resume_VS
 
TIN-X v2: modernized architecture with REST API
TIN-X v2: modernized architecture with REST APITIN-X v2: modernized architecture with REST API
TIN-X v2: modernized architecture with REST API
 
apidays LIVE Helsinki & North - 20 minutes to build a serverless COVID-19 RES...
apidays LIVE Helsinki & North - 20 minutes to build a serverless COVID-19 RES...apidays LIVE Helsinki & North - 20 minutes to build a serverless COVID-19 RES...
apidays LIVE Helsinki & North - 20 minutes to build a serverless COVID-19 RES...
 
h5web: a web-based viewer of HDF5 files
h5web: a web-based viewer of HDF5 filesh5web: a web-based viewer of HDF5 files
h5web: a web-based viewer of HDF5 files
 
Introduction to Open Services for Lifecycle Collaboration (OSLC)
Introduction to Open Services for Lifecycle Collaboration (OSLC)Introduction to Open Services for Lifecycle Collaboration (OSLC)
Introduction to Open Services for Lifecycle Collaboration (OSLC)
 
Data science for smart manufacturing at Pirelli
Data science for smart manufacturing at PirelliData science for smart manufacturing at Pirelli
Data science for smart manufacturing at Pirelli
 
The A-Z of Data: Introduction to MLOps
The A-Z of Data: Introduction to MLOpsThe A-Z of Data: Introduction to MLOps
The A-Z of Data: Introduction to MLOps
 
Open DMPs: Machine Actionable open data management planning (Presentation at ...
Open DMPs: Machine Actionable open data management planning (Presentation at ...Open DMPs: Machine Actionable open data management planning (Presentation at ...
Open DMPs: Machine Actionable open data management planning (Presentation at ...
 
Big Data Europe: Simplifying Development and Deployment of Big Data Applications
Big Data Europe: Simplifying Development and Deployment of Big Data ApplicationsBig Data Europe: Simplifying Development and Deployment of Big Data Applications
Big Data Europe: Simplifying Development and Deployment of Big Data Applications
 

Similar to Research Data Management for Computational Science

How to build containerized architectures for deep learning - Data Festival 20...
How to build containerized architectures for deep learning - Data Festival 20...How to build containerized architectures for deep learning - Data Festival 20...
How to build containerized architectures for deep learning - Data Festival 20...Antje Barth
 
Cut your Grails application to pieces - build feature plugins
Cut your Grails application to pieces - build feature pluginsCut your Grails application to pieces - build feature plugins
Cut your Grails application to pieces - build feature pluginsGR8Conf
 
mago3D Technical Workshop Material
mago3D Technical Workshop Material mago3D Technical Workshop Material
mago3D Technical Workshop Material SANGHEE SHIN
 
Challenges of Deep Learning in Computer Vision Webinar - Tessellate Imaging
Challenges of Deep Learning in Computer Vision Webinar - Tessellate ImagingChallenges of Deep Learning in Computer Vision Webinar - Tessellate Imaging
Challenges of Deep Learning in Computer Vision Webinar - Tessellate ImagingAdhesh Shrivastava
 
Building a Data Exchange with Spring Cloud Data Flow
Building a Data Exchange with Spring Cloud Data FlowBuilding a Data Exchange with Spring Cloud Data Flow
Building a Data Exchange with Spring Cloud Data FlowVMware Tanzu
 
Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...
Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...
Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...Scilab
 
Use AppDynamics SDK to Integrate with your Applications - AppSphere16
Use AppDynamics SDK to Integrate with your Applications - AppSphere16Use AppDynamics SDK to Integrate with your Applications - AppSphere16
Use AppDynamics SDK to Integrate with your Applications - AppSphere16AppDynamics
 
AI-SDV 2020: Using Transformer technology to build an AI based personal News ...
AI-SDV 2020: Using Transformer technology to build an AI based personal News ...AI-SDV 2020: Using Transformer technology to build an AI based personal News ...
AI-SDV 2020: Using Transformer technology to build an AI based personal News ...Dr. Haxel Consult
 
Federated Machine Learning Framework
Federated Machine Learning FrameworkFederated Machine Learning Framework
Federated Machine Learning FrameworkAnup kumar
 
Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...
Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...
Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...Shirshanka Das
 
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...Yael Garten
 
FSM integration with SAP
FSM integration with SAPFSM integration with SAP
FSM integration with SAPCapgemini
 
End-to-End Machine learning pipelines for Python driven organizations - Nick ...
End-to-End Machine learning pipelines for Python driven organizations - Nick ...End-to-End Machine learning pipelines for Python driven organizations - Nick ...
End-to-End Machine learning pipelines for Python driven organizations - Nick ...PyData
 
DevOpsDaysRiga 2018: Eric Skoglund, Lars Albertsson - Kubernetes as data plat...
DevOpsDaysRiga 2018: Eric Skoglund, Lars Albertsson - Kubernetes as data plat...DevOpsDaysRiga 2018: Eric Skoglund, Lars Albertsson - Kubernetes as data plat...
DevOpsDaysRiga 2018: Eric Skoglund, Lars Albertsson - Kubernetes as data plat...DevOpsDays Riga
 
Kubernetes as data platform
Kubernetes as data platformKubernetes as data platform
Kubernetes as data platformLars Albertsson
 
FRIDA 101 Android
FRIDA 101 AndroidFRIDA 101 Android
FRIDA 101 AndroidTony Thomas
 

Similar to Research Data Management for Computational Science (20)

How to build containerized architectures for deep learning - Data Festival 20...
How to build containerized architectures for deep learning - Data Festival 20...How to build containerized architectures for deep learning - Data Festival 20...
How to build containerized architectures for deep learning - Data Festival 20...
 
Cut your Grails application to pieces - build feature plugins
Cut your Grails application to pieces - build feature pluginsCut your Grails application to pieces - build feature plugins
Cut your Grails application to pieces - build feature plugins
 
mago3D Technical Workshop Material
mago3D Technical Workshop Material mago3D Technical Workshop Material
mago3D Technical Workshop Material
 
R sharing 101
R sharing 101R sharing 101
R sharing 101
 
Challenges of Deep Learning in Computer Vision Webinar - Tessellate Imaging
Challenges of Deep Learning in Computer Vision Webinar - Tessellate ImagingChallenges of Deep Learning in Computer Vision Webinar - Tessellate Imaging
Challenges of Deep Learning in Computer Vision Webinar - Tessellate Imaging
 
Building a Data Exchange with Spring Cloud Data Flow
Building a Data Exchange with Spring Cloud Data FlowBuilding a Data Exchange with Spring Cloud Data Flow
Building a Data Exchange with Spring Cloud Data Flow
 
Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...
Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...
Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...
 
Use AppDynamics SDK to Integrate with your Applications - AppSphere16
Use AppDynamics SDK to Integrate with your Applications - AppSphere16Use AppDynamics SDK to Integrate with your Applications - AppSphere16
Use AppDynamics SDK to Integrate with your Applications - AppSphere16
 
AI-SDV 2020: Using Transformer technology to build an AI based personal News ...
AI-SDV 2020: Using Transformer technology to build an AI based personal News ...AI-SDV 2020: Using Transformer technology to build an AI based personal News ...
AI-SDV 2020: Using Transformer technology to build an AI based personal News ...
 
Federated Machine Learning Framework
Federated Machine Learning FrameworkFederated Machine Learning Framework
Federated Machine Learning Framework
 
journal in research
journal in research journal in research
journal in research
 
journal published
journal publishedjournal published
journal published
 
Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...
Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...
Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...
 
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...
 
FSM integration with SAP
FSM integration with SAPFSM integration with SAP
FSM integration with SAP
 
End-to-End Machine learning pipelines for Python driven organizations - Nick ...
End-to-End Machine learning pipelines for Python driven organizations - Nick ...End-to-End Machine learning pipelines for Python driven organizations - Nick ...
End-to-End Machine learning pipelines for Python driven organizations - Nick ...
 
Ab initio training Ab-initio Architecture
Ab initio training Ab-initio ArchitectureAb initio training Ab-initio Architecture
Ab initio training Ab-initio Architecture
 
DevOpsDaysRiga 2018: Eric Skoglund, Lars Albertsson - Kubernetes as data plat...
DevOpsDaysRiga 2018: Eric Skoglund, Lars Albertsson - Kubernetes as data plat...DevOpsDaysRiga 2018: Eric Skoglund, Lars Albertsson - Kubernetes as data plat...
DevOpsDaysRiga 2018: Eric Skoglund, Lars Albertsson - Kubernetes as data plat...
 
Kubernetes as data platform
Kubernetes as data platformKubernetes as data platform
Kubernetes as data platform
 
FRIDA 101 Android
FRIDA 101 AndroidFRIDA 101 Android
FRIDA 101 Android
 

Recently uploaded

Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptxAmazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptxAbdelrhman abooda
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Sapana Sha
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfLars Albertsson
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...Florian Roscheck
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...dajasot375
 
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptdokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptSonatrach
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDRafezzaman
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]📊 Markus Baersch
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...limedy534
 
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样vhwb25kk
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxStephen266013
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFAAndrei Kaleshka
 
vip Sarai Rohilla Call Girls 9999965857 Call or WhatsApp Now Book
vip Sarai Rohilla Call Girls 9999965857 Call or WhatsApp Now Bookvip Sarai Rohilla Call Girls 9999965857 Call or WhatsApp Now Book
vip Sarai Rohilla Call Girls 9999965857 Call or WhatsApp Now Bookmanojkuma9823
 
办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一
办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一
办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一F La
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024thyngster
 
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理e4aez8ss
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130Suhani Kapoor
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort servicejennyeacort
 

Recently uploaded (20)

Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptxAmazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdf
 
Call Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort ServiceCall Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort Service
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
 
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptdokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
 
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docx
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFA
 
vip Sarai Rohilla Call Girls 9999965857 Call or WhatsApp Now Book
vip Sarai Rohilla Call Girls 9999965857 Call or WhatsApp Now Bookvip Sarai Rohilla Call Girls 9999965857 Call or WhatsApp Now Book
vip Sarai Rohilla Call Girls 9999965857 Call or WhatsApp Now Book
 
办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一
办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一
办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
 
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
 

Research Data Management for Computational Science

  • 1. Research Data Management for Computational Science Gerard Gorman g.gorman@imperial.ac.uk Christian Jacobs c.jacobs10@imperial.ac.uk 1 / 9
  • 2. Data requirements Data produced by scientific software should be reproducible and recomputable. This requires: raw data (input and output files) the software (with info about the specific version used) to produce it provenance data We need a way of curating this data and software at the push of a button... ...and a way of referencing it correctly in papers. 2 / 9
  • 3. Figshare In addition to papers and figures, Figshare (figshare.com) provides hosting for datasets. Each dataset is given its own Digital Object Identifier (DOI). Programs developed by users can interface with Figshare via the Figshare API. 3 / 9
  • 4. Aims Develop a program to automatically push software and data to Figshare. Incorporate this program into the workflow of Fluidity – an open-source CFD code for fluid flow simulations (http://amcg.ese.ic.ac.uk/fluidity). DOIs are ‘minted’ automatically, and added to the current metadata of simulation output. 4 / 9
  • 5. Fluidity with RDM support Current progress Implementation of a Python program which enables the publication of both software and data to Figshare. Addition of a ‘publish’ option to Fluidity simulation setup files. New DOIs created when: Software is pushed to Figshare (if the specific version of the software, identified by the git commit hash, has not been published already). Input data is pushed to Figshare. Output data is pushed to Figshare. DOIs are recorded in the simulation setup file – if the simulation is run again, the same DOI is used to store the data. In the future, we will use MD5sums. 5 / 9
  • 6. Fluidity with RDM support Screenshot of the ‘publish’ option in the Fluidity simulation setup file. 6 / 9
  • 7. Fluidity with RDM support Example: simulation of the top hat cg supg test case Screenshot of software, input data and output data automatically pushed to Figshare. 7 / 9
  • 8. Links The Software Sustainability Institute: www.software.ac.uk Digital Curation Centre: www.dcc.ac.uk Software Carpentry: software-carpentry.org (and Data Carpentry: nescent.github.io/2014-05-08-datacarpentry) Fidgit: www.github.com/arfon/fidgit Reproducible Research course: https://www.coursera.org/course/repdata ROpenSci’s Reproducibility Guide: http://ropensci.github.io/reproducibility-guide 8 / 9
  • 9. ’It has always been my habit to hide none of my methods, either from my friend Watson or from any one who might take an intelligent interest in them.’ Sherlock Holmes 9 / 9