SlideShare a Scribd company logo
1 of 26
(ATS6-Dev08) Integrating Contur ELN
with other systems using a RESTful API
Mats Kihlén
Director R&D and Pre-sales
Stockholm, Sweden
mats.kihlen@accelrys.com
The information on the roadmap and future software development efforts are
intended to outline general product direction and should not be relied on in making
a purchasing decision.
Content
• Contur ELN basics
• Extending the ELN capabilities
• RESTful API – strategy and architecture
• Solution examples
Contur ELN basics
• Corporate documentation system for capturing and
sharing experimental observations
• Experiment rather than data centric
• Out-of-the-box solution
– No customized workflows
– Basic connections to other systems through lookup sections
• Common for all disciplines
”Demo section”
”Demo section”
”Demo section”
Technology choice
• Traditionally we connect to other systems using ODBC
– Limited functionality
– Hard to access all data, e.g. due to serialized objects
– Vulnerable to database changes
– Not available for Cloud customers
• Communicating via an API on the application server
would be better!
Extending the capabilities
Formulations Analytical Packaging
Domain
specific
capabilities
Domain
specific
capabilities
Domain
specific
capabilities
Contur ELN
API development scope
• Based on RESTful services
– State-of-the-art technology based on http
– Very general operations: GET, DELETE, PUT, POST
• Focus on experiment content
– Extract selected information from one or several experiments (GET)
– Data returned as XML or JSON objects
– Insert data into specified experiments (PUT, POST)
• Ability to call external applications from the client
– Limited configuration of icons and buttons – currently from an experiment
– Through PipelinePilot protocols
REST API Syntax - example
Operation URL
Start Client http://w2k8-contur-eln.accelrys.net/
Get Information about the system: Users Fetch all users
http://w2k8-contur-eln.accelrys.net/api/v1/users <--
A user
http://w2k8-contur-eln.accelrys.net/api/v1/users/1704
http://w2k8-contur-eln.accelrys.net/api/v1/users/821
Get information about experiments of a user http://w2k8-contur-eln.accelrys.net/api/v1/users/1704/experiments
Fetch author of an experiment http://w2k8-contur-eln.accelrys.net/api/v1/experiments/EXP-12-AA0103/author
Get an experiment http://w2k8-contur-eln.accelrys.net/api/v1/experiments/EXP-12-AA0103
Get a sections of an experiment http://w2k8-contur-eln.accelrys.net/api/v1/experiments/EXP-12-AA0103/sections
Get data of a section http://w2k8-contur-eln.accelrys.net/api/v1/sections/1050
http://w2k8-contur-eln.accelrys.net/api/v1/sections/{ID}/data
http://w2k8-contur-eln.accelrys.net/api/v1/data/1051
API Help file
• Launch PLP protocols from the Contur ELN client and have the
result documented in an experiment
– List of available protocols in the experiment toolbox
– Synchronous or asynchronous running mode
– Input interactively and/or from Contur ELN sections
– Results pushed back into ELN experiment (as text, image, Excel-file,
file attachment etc)
• Component collection embedding API calls will be available
– Direct API calls from any application also possible
Calling applications
Application example : Run PipelinePilot protocol
Choose protocol
from new toolbox in
the experiment
editor
Application example : Run PipelinePilot protocol
Input data can be
read from an ELN
section
Application example : Run PipelinePilot protocol
Run the protocol...
Application example : Run PipelinePilot protocol
Protocol reads data
from experiment
and provides
options
Application example : Run PipelinePilot protocol
...get results
Application example : Run PipelinePilot protocol
...and push back
into the experiment
Application example : Ad hoc reporting
Launch reportinging
protocol
Application example : Ad hoc reporting
...select sections
to publish
Application example : Ad hoc reporting
View report
Application example : Ad hoc reporting
...post to
SharePoint
• First version planned for June 2013 release
– All GET, some PUT and POST
– Focus on experiment content
– The Web client is refactored to use API communication
– Available on the Cloud
• Second version November 2013
– All PUT/POST actions
– Non-experiment calls (user statistics etc)
– Finalize Web client to only use API as communication method
– Call PLP protocols from the Web client
Status and Release plans
• Keeping the core ELN out-of-the-box is critical
• The new API provides an efficient communication method
allowing integration, both with external systems and to build
functional extensions
• The API will also be available for the Cloud
• Building clients on the API facilitates good quality and
performance
Conclusions

More Related Content

What's hot

Functional Testing of RESTful Applications
Functional Testing of RESTful ApplicationsFunctional Testing of RESTful Applications
Functional Testing of RESTful ApplicationsNenad Bozic
 
Automated Translation among EPSILON Languages for Performance-Driven UML Sof...
Automated Translation among EPSILON Languages for Performance-Driven  UML Sof...Automated Translation among EPSILON Languages for Performance-Driven  UML Sof...
Automated Translation among EPSILON Languages for Performance-Driven UML Sof...Daniele Di Pompeo
 
SUN_Nashville_PatchEval
SUN_Nashville_PatchEvalSUN_Nashville_PatchEval
SUN_Nashville_PatchEvalDaniel Mauk
 
[2017/2018] AADL - Architecture Analysis and Design Language
[2017/2018] AADL - Architecture Analysis and Design Language[2017/2018] AADL - Architecture Analysis and Design Language
[2017/2018] AADL - Architecture Analysis and Design LanguageIvano Malavolta
 
[Capella Days 2020] Successful Capella landing on a CNES operational use case
[Capella Days 2020] Successful Capella landing on a CNES operational use case[Capella Days 2020] Successful Capella landing on a CNES operational use case
[Capella Days 2020] Successful Capella landing on a CNES operational use caseObeo
 

What's hot (8)

Functional Testing of RESTful Applications
Functional Testing of RESTful ApplicationsFunctional Testing of RESTful Applications
Functional Testing of RESTful Applications
 
Final Jspring2009 Mda Slimmer Ontwikkelen Van Java Ee Applicaties
Final Jspring2009 Mda Slimmer Ontwikkelen Van Java Ee ApplicatiesFinal Jspring2009 Mda Slimmer Ontwikkelen Van Java Ee Applicaties
Final Jspring2009 Mda Slimmer Ontwikkelen Van Java Ee Applicaties
 
Compiler lecture 07
Compiler lecture 07Compiler lecture 07
Compiler lecture 07
 
Automated Translation among EPSILON Languages for Performance-Driven UML Sof...
Automated Translation among EPSILON Languages for Performance-Driven  UML Sof...Automated Translation among EPSILON Languages for Performance-Driven  UML Sof...
Automated Translation among EPSILON Languages for Performance-Driven UML Sof...
 
SUN_Nashville_PatchEval
SUN_Nashville_PatchEvalSUN_Nashville_PatchEval
SUN_Nashville_PatchEval
 
Ladc presentation
Ladc presentationLadc presentation
Ladc presentation
 
[2017/2018] AADL - Architecture Analysis and Design Language
[2017/2018] AADL - Architecture Analysis and Design Language[2017/2018] AADL - Architecture Analysis and Design Language
[2017/2018] AADL - Architecture Analysis and Design Language
 
[Capella Days 2020] Successful Capella landing on a CNES operational use case
[Capella Days 2020] Successful Capella landing on a CNES operational use case[Capella Days 2020] Successful Capella landing on a CNES operational use case
[Capella Days 2020] Successful Capella landing on a CNES operational use case
 

Similar to (ATS6-DEV08) Integrating Contur ELN with other systems using a RESTful API

Current & Future Use-Cases of OpenDaylight
Current & Future Use-Cases of OpenDaylightCurrent & Future Use-Cases of OpenDaylight
Current & Future Use-Cases of OpenDaylightabhijit2511
 
EPAM ML/AI Accelerator - ODAHU
EPAM ML/AI Accelerator - ODAHUEPAM ML/AI Accelerator - ODAHU
EPAM ML/AI Accelerator - ODAHUDmitrii Suslov
 
Strata parallel m-ml-ops_sept_2017
Strata parallel m-ml-ops_sept_2017Strata parallel m-ml-ops_sept_2017
Strata parallel m-ml-ops_sept_2017Nisha Talagala
 
Scale machine learning deployment
Scale machine learning deploymentScale machine learning deployment
Scale machine learning deploymentGang Tao
 
An introduction to the office devpnp community initiative
An introduction to the office devpnp community initiativeAn introduction to the office devpnp community initiative
An introduction to the office devpnp community initiativeNigel Price
 
Machine Learning At Speed: Operationalizing ML For Real-Time Data Streams
Machine Learning At Speed: Operationalizing ML For Real-Time Data StreamsMachine Learning At Speed: Operationalizing ML For Real-Time Data Streams
Machine Learning At Speed: Operationalizing ML For Real-Time Data StreamsLightbend
 
Oslc case study (poc results) v1.1
Oslc case study (poc results) v1.1Oslc case study (poc results) v1.1
Oslc case study (poc results) v1.1Joseph Lopez, M.ISM
 
(ATS3-DEV04) Introduction to Pipeline Pilot Protocol Development for Developers
(ATS3-DEV04) Introduction to Pipeline Pilot Protocol Development for Developers(ATS3-DEV04) Introduction to Pipeline Pilot Protocol Development for Developers
(ATS3-DEV04) Introduction to Pipeline Pilot Protocol Development for DevelopersBIOVIA
 
Operationalizing Machine Learning: Serving ML Models
Operationalizing Machine Learning: Serving ML ModelsOperationalizing Machine Learning: Serving ML Models
Operationalizing Machine Learning: Serving ML ModelsLightbend
 
Legion - AI Runtime Platform
Legion -  AI Runtime PlatformLegion -  AI Runtime Platform
Legion - AI Runtime PlatformAlexey Kharlamov
 
Bringing SDN to the Management Plane
Bringing SDN to the Management PlaneBringing SDN to the Management Plane
Bringing SDN to the Management PlaneAnees Shaikh
 
Best Practices with OLAP Modeling with Cognos Transformer (Cognos 8)
Best Practices with OLAP Modeling with Cognos Transformer (Cognos 8)Best Practices with OLAP Modeling with Cognos Transformer (Cognos 8)
Best Practices with OLAP Modeling with Cognos Transformer (Cognos 8)Senturus
 
Sumo Logic Quick Start - Feb 2016
Sumo Logic Quick Start - Feb 2016Sumo Logic Quick Start - Feb 2016
Sumo Logic Quick Start - Feb 2016Sumo Logic
 
Apache ® Spark™ MLlib 2.x: How to Productionize your Machine Learning Models
Apache ® Spark™ MLlib 2.x: How to Productionize your Machine Learning ModelsApache ® Spark™ MLlib 2.x: How to Productionize your Machine Learning Models
Apache ® Spark™ MLlib 2.x: How to Productionize your Machine Learning ModelsAnyscale
 
Collaborate 19: Help!! EPRCS, Financial Reports, Smart View, Which Report Too...
Collaborate 19: Help!! EPRCS, Financial Reports, Smart View, Which Report Too...Collaborate 19: Help!! EPRCS, Financial Reports, Smart View, Which Report Too...
Collaborate 19: Help!! EPRCS, Financial Reports, Smart View, Which Report Too...Kelliann Hoelscher
 
IncQuery_presentation_Incose_EMEA_WSEC.pptx
IncQuery_presentation_Incose_EMEA_WSEC.pptxIncQuery_presentation_Incose_EMEA_WSEC.pptx
IncQuery_presentation_Incose_EMEA_WSEC.pptxIncQuery Labs
 
Define enterprise integration strategy by industry leader bhawani nandanprasad
Define enterprise integration strategy by industry leader bhawani nandanprasadDefine enterprise integration strategy by industry leader bhawani nandanprasad
Define enterprise integration strategy by industry leader bhawani nandanprasadBhawani N Prasad
 
Vertex AI: Pipelines for your MLOps workflows
Vertex AI: Pipelines for your MLOps workflowsVertex AI: Pipelines for your MLOps workflows
Vertex AI: Pipelines for your MLOps workflowsMárton Kodok
 
CloudLightning and the OPM-based Use Case
CloudLightning and the OPM-based Use CaseCloudLightning and the OPM-based Use Case
CloudLightning and the OPM-based Use CaseCloudLightning
 

Similar to (ATS6-DEV08) Integrating Contur ELN with other systems using a RESTful API (20)

Current & Future Use-Cases of OpenDaylight
Current & Future Use-Cases of OpenDaylightCurrent & Future Use-Cases of OpenDaylight
Current & Future Use-Cases of OpenDaylight
 
EPAM ML/AI Accelerator - ODAHU
EPAM ML/AI Accelerator - ODAHUEPAM ML/AI Accelerator - ODAHU
EPAM ML/AI Accelerator - ODAHU
 
Strata parallel m-ml-ops_sept_2017
Strata parallel m-ml-ops_sept_2017Strata parallel m-ml-ops_sept_2017
Strata parallel m-ml-ops_sept_2017
 
Scale machine learning deployment
Scale machine learning deploymentScale machine learning deployment
Scale machine learning deployment
 
An introduction to the office devpnp community initiative
An introduction to the office devpnp community initiativeAn introduction to the office devpnp community initiative
An introduction to the office devpnp community initiative
 
Machine Learning At Speed: Operationalizing ML For Real-Time Data Streams
Machine Learning At Speed: Operationalizing ML For Real-Time Data StreamsMachine Learning At Speed: Operationalizing ML For Real-Time Data Streams
Machine Learning At Speed: Operationalizing ML For Real-Time Data Streams
 
Oslc case study (poc results) v1.1
Oslc case study (poc results) v1.1Oslc case study (poc results) v1.1
Oslc case study (poc results) v1.1
 
(ATS3-DEV04) Introduction to Pipeline Pilot Protocol Development for Developers
(ATS3-DEV04) Introduction to Pipeline Pilot Protocol Development for Developers(ATS3-DEV04) Introduction to Pipeline Pilot Protocol Development for Developers
(ATS3-DEV04) Introduction to Pipeline Pilot Protocol Development for Developers
 
Operationalizing Machine Learning: Serving ML Models
Operationalizing Machine Learning: Serving ML ModelsOperationalizing Machine Learning: Serving ML Models
Operationalizing Machine Learning: Serving ML Models
 
Legion - AI Runtime Platform
Legion -  AI Runtime PlatformLegion -  AI Runtime Platform
Legion - AI Runtime Platform
 
Rajesh - CV
Rajesh - CVRajesh - CV
Rajesh - CV
 
Bringing SDN to the Management Plane
Bringing SDN to the Management PlaneBringing SDN to the Management Plane
Bringing SDN to the Management Plane
 
Best Practices with OLAP Modeling with Cognos Transformer (Cognos 8)
Best Practices with OLAP Modeling with Cognos Transformer (Cognos 8)Best Practices with OLAP Modeling with Cognos Transformer (Cognos 8)
Best Practices with OLAP Modeling with Cognos Transformer (Cognos 8)
 
Sumo Logic Quick Start - Feb 2016
Sumo Logic Quick Start - Feb 2016Sumo Logic Quick Start - Feb 2016
Sumo Logic Quick Start - Feb 2016
 
Apache ® Spark™ MLlib 2.x: How to Productionize your Machine Learning Models
Apache ® Spark™ MLlib 2.x: How to Productionize your Machine Learning ModelsApache ® Spark™ MLlib 2.x: How to Productionize your Machine Learning Models
Apache ® Spark™ MLlib 2.x: How to Productionize your Machine Learning Models
 
Collaborate 19: Help!! EPRCS, Financial Reports, Smart View, Which Report Too...
Collaborate 19: Help!! EPRCS, Financial Reports, Smart View, Which Report Too...Collaborate 19: Help!! EPRCS, Financial Reports, Smart View, Which Report Too...
Collaborate 19: Help!! EPRCS, Financial Reports, Smart View, Which Report Too...
 
IncQuery_presentation_Incose_EMEA_WSEC.pptx
IncQuery_presentation_Incose_EMEA_WSEC.pptxIncQuery_presentation_Incose_EMEA_WSEC.pptx
IncQuery_presentation_Incose_EMEA_WSEC.pptx
 
Define enterprise integration strategy by industry leader bhawani nandanprasad
Define enterprise integration strategy by industry leader bhawani nandanprasadDefine enterprise integration strategy by industry leader bhawani nandanprasad
Define enterprise integration strategy by industry leader bhawani nandanprasad
 
Vertex AI: Pipelines for your MLOps workflows
Vertex AI: Pipelines for your MLOps workflowsVertex AI: Pipelines for your MLOps workflows
Vertex AI: Pipelines for your MLOps workflows
 
CloudLightning and the OPM-based Use Case
CloudLightning and the OPM-based Use CaseCloudLightning and the OPM-based Use Case
CloudLightning and the OPM-based Use Case
 

More from BIOVIA

ScienceCloud: Collaborative Workflows in Biologics R&D
ScienceCloud: Collaborative Workflows in Biologics R&DScienceCloud: Collaborative Workflows in Biologics R&D
ScienceCloud: Collaborative Workflows in Biologics R&DBIOVIA
 
(ATS6-PLAT03) What's behind Discngine collections
(ATS6-PLAT03) What's behind Discngine collections(ATS6-PLAT03) What's behind Discngine collections
(ATS6-PLAT03) What's behind Discngine collectionsBIOVIA
 
(ATS6-PLAT09) Deploying Applications on load balanced AEP servers for high av...
(ATS6-PLAT09) Deploying Applications on load balanced AEP servers for high av...(ATS6-PLAT09) Deploying Applications on load balanced AEP servers for high av...
(ATS6-PLAT09) Deploying Applications on load balanced AEP servers for high av...BIOVIA
 
(ATS6-PLAT07) Managing AEP in an enterprise environment
(ATS6-PLAT07) Managing AEP in an enterprise environment(ATS6-PLAT07) Managing AEP in an enterprise environment
(ATS6-PLAT07) Managing AEP in an enterprise environmentBIOVIA
 
(ATS6-PLAT06) Maximizing AEP Performance
(ATS6-PLAT06) Maximizing AEP Performance(ATS6-PLAT06) Maximizing AEP Performance
(ATS6-PLAT06) Maximizing AEP PerformanceBIOVIA
 
(ATS6-PLAT05) Security enhancements in AEP 9
(ATS6-PLAT05) Security enhancements in AEP 9(ATS6-PLAT05) Security enhancements in AEP 9
(ATS6-PLAT05) Security enhancements in AEP 9BIOVIA
 
(ATS6-PLAT04) Query service
(ATS6-PLAT04) Query service (ATS6-PLAT04) Query service
(ATS6-PLAT04) Query service BIOVIA
 
(ATS6-PLAT02) Accelrys Catalog and Protocol Validation
(ATS6-PLAT02) Accelrys Catalog and Protocol Validation(ATS6-PLAT02) Accelrys Catalog and Protocol Validation
(ATS6-PLAT02) Accelrys Catalog and Protocol ValidationBIOVIA
 
(ATS6-PLAT01) Chemistry Harmonization: Bringing together the Direct 9 and Pip...
(ATS6-PLAT01) Chemistry Harmonization: Bringing together the Direct 9 and Pip...(ATS6-PLAT01) Chemistry Harmonization: Bringing together the Direct 9 and Pip...
(ATS6-PLAT01) Chemistry Harmonization: Bringing together the Direct 9 and Pip...BIOVIA
 
(ATS6-GS04) Performance Analysis of Accelrys Enterprise Platform 9.0 on IBM’s...
(ATS6-GS04) Performance Analysis of Accelrys Enterprise Platform 9.0 on IBM’s...(ATS6-GS04) Performance Analysis of Accelrys Enterprise Platform 9.0 on IBM’s...
(ATS6-GS04) Performance Analysis of Accelrys Enterprise Platform 9.0 on IBM’s...BIOVIA
 
(ATS6-GS02) Integrating Contur and HEOS
(ATS6-GS02) Integrating Contur and HEOS(ATS6-GS02) Integrating Contur and HEOS
(ATS6-GS02) Integrating Contur and HEOSBIOVIA
 
(ATS6-GS01) Welcome
(ATS6-GS01) Welcome (ATS6-GS01) Welcome
(ATS6-GS01) Welcome BIOVIA
 
(ATS6-DEV09) Deep Dive into REST and SOAP Integration for Protocol Authors
(ATS6-DEV09) Deep Dive into REST and SOAP Integration for Protocol Authors(ATS6-DEV09) Deep Dive into REST and SOAP Integration for Protocol Authors
(ATS6-DEV09) Deep Dive into REST and SOAP Integration for Protocol AuthorsBIOVIA
 
(ATS6-DEV07) Building widgets for ELN home page
(ATS6-DEV07) Building widgets for ELN home page(ATS6-DEV07) Building widgets for ELN home page
(ATS6-DEV07) Building widgets for ELN home pageBIOVIA
 
(ATS6-DEV06) Using Packages for Protocol, Component, and Application Delivery
(ATS6-DEV06) Using Packages for Protocol, Component, and Application Delivery(ATS6-DEV06) Using Packages for Protocol, Component, and Application Delivery
(ATS6-DEV06) Using Packages for Protocol, Component, and Application DeliveryBIOVIA
 
(ATS6-DEV05) Building Interactive Web Applications with the Reporting Collection
(ATS6-DEV05) Building Interactive Web Applications with the Reporting Collection(ATS6-DEV05) Building Interactive Web Applications with the Reporting Collection
(ATS6-DEV05) Building Interactive Web Applications with the Reporting CollectionBIOVIA
 
(ATS6-DEV04) Building Web MashUp applications that include Accelrys Applicati...
(ATS6-DEV04) Building Web MashUp applications that include Accelrys Applicati...(ATS6-DEV04) Building Web MashUp applications that include Accelrys Applicati...
(ATS6-DEV04) Building Web MashUp applications that include Accelrys Applicati...BIOVIA
 
(ATS6-DEV03) Building an Enterprise Web Solution with AEP
(ATS6-DEV03) Building an Enterprise Web Solution with AEP(ATS6-DEV03) Building an Enterprise Web Solution with AEP
(ATS6-DEV03) Building an Enterprise Web Solution with AEPBIOVIA
 
(ATS6-DEV02) Web Application Strategies
(ATS6-DEV02) Web Application Strategies(ATS6-DEV02) Web Application Strategies
(ATS6-DEV02) Web Application StrategiesBIOVIA
 
(ATS6-DEV01) What’s new for Protocol and Component Developers in AEP 9.0
(ATS6-DEV01) What’s new for Protocol and Component Developers in AEP 9.0(ATS6-DEV01) What’s new for Protocol and Component Developers in AEP 9.0
(ATS6-DEV01) What’s new for Protocol and Component Developers in AEP 9.0BIOVIA
 

More from BIOVIA (20)

ScienceCloud: Collaborative Workflows in Biologics R&D
ScienceCloud: Collaborative Workflows in Biologics R&DScienceCloud: Collaborative Workflows in Biologics R&D
ScienceCloud: Collaborative Workflows in Biologics R&D
 
(ATS6-PLAT03) What's behind Discngine collections
(ATS6-PLAT03) What's behind Discngine collections(ATS6-PLAT03) What's behind Discngine collections
(ATS6-PLAT03) What's behind Discngine collections
 
(ATS6-PLAT09) Deploying Applications on load balanced AEP servers for high av...
(ATS6-PLAT09) Deploying Applications on load balanced AEP servers for high av...(ATS6-PLAT09) Deploying Applications on load balanced AEP servers for high av...
(ATS6-PLAT09) Deploying Applications on load balanced AEP servers for high av...
 
(ATS6-PLAT07) Managing AEP in an enterprise environment
(ATS6-PLAT07) Managing AEP in an enterprise environment(ATS6-PLAT07) Managing AEP in an enterprise environment
(ATS6-PLAT07) Managing AEP in an enterprise environment
 
(ATS6-PLAT06) Maximizing AEP Performance
(ATS6-PLAT06) Maximizing AEP Performance(ATS6-PLAT06) Maximizing AEP Performance
(ATS6-PLAT06) Maximizing AEP Performance
 
(ATS6-PLAT05) Security enhancements in AEP 9
(ATS6-PLAT05) Security enhancements in AEP 9(ATS6-PLAT05) Security enhancements in AEP 9
(ATS6-PLAT05) Security enhancements in AEP 9
 
(ATS6-PLAT04) Query service
(ATS6-PLAT04) Query service (ATS6-PLAT04) Query service
(ATS6-PLAT04) Query service
 
(ATS6-PLAT02) Accelrys Catalog and Protocol Validation
(ATS6-PLAT02) Accelrys Catalog and Protocol Validation(ATS6-PLAT02) Accelrys Catalog and Protocol Validation
(ATS6-PLAT02) Accelrys Catalog and Protocol Validation
 
(ATS6-PLAT01) Chemistry Harmonization: Bringing together the Direct 9 and Pip...
(ATS6-PLAT01) Chemistry Harmonization: Bringing together the Direct 9 and Pip...(ATS6-PLAT01) Chemistry Harmonization: Bringing together the Direct 9 and Pip...
(ATS6-PLAT01) Chemistry Harmonization: Bringing together the Direct 9 and Pip...
 
(ATS6-GS04) Performance Analysis of Accelrys Enterprise Platform 9.0 on IBM’s...
(ATS6-GS04) Performance Analysis of Accelrys Enterprise Platform 9.0 on IBM’s...(ATS6-GS04) Performance Analysis of Accelrys Enterprise Platform 9.0 on IBM’s...
(ATS6-GS04) Performance Analysis of Accelrys Enterprise Platform 9.0 on IBM’s...
 
(ATS6-GS02) Integrating Contur and HEOS
(ATS6-GS02) Integrating Contur and HEOS(ATS6-GS02) Integrating Contur and HEOS
(ATS6-GS02) Integrating Contur and HEOS
 
(ATS6-GS01) Welcome
(ATS6-GS01) Welcome (ATS6-GS01) Welcome
(ATS6-GS01) Welcome
 
(ATS6-DEV09) Deep Dive into REST and SOAP Integration for Protocol Authors
(ATS6-DEV09) Deep Dive into REST and SOAP Integration for Protocol Authors(ATS6-DEV09) Deep Dive into REST and SOAP Integration for Protocol Authors
(ATS6-DEV09) Deep Dive into REST and SOAP Integration for Protocol Authors
 
(ATS6-DEV07) Building widgets for ELN home page
(ATS6-DEV07) Building widgets for ELN home page(ATS6-DEV07) Building widgets for ELN home page
(ATS6-DEV07) Building widgets for ELN home page
 
(ATS6-DEV06) Using Packages for Protocol, Component, and Application Delivery
(ATS6-DEV06) Using Packages for Protocol, Component, and Application Delivery(ATS6-DEV06) Using Packages for Protocol, Component, and Application Delivery
(ATS6-DEV06) Using Packages for Protocol, Component, and Application Delivery
 
(ATS6-DEV05) Building Interactive Web Applications with the Reporting Collection
(ATS6-DEV05) Building Interactive Web Applications with the Reporting Collection(ATS6-DEV05) Building Interactive Web Applications with the Reporting Collection
(ATS6-DEV05) Building Interactive Web Applications with the Reporting Collection
 
(ATS6-DEV04) Building Web MashUp applications that include Accelrys Applicati...
(ATS6-DEV04) Building Web MashUp applications that include Accelrys Applicati...(ATS6-DEV04) Building Web MashUp applications that include Accelrys Applicati...
(ATS6-DEV04) Building Web MashUp applications that include Accelrys Applicati...
 
(ATS6-DEV03) Building an Enterprise Web Solution with AEP
(ATS6-DEV03) Building an Enterprise Web Solution with AEP(ATS6-DEV03) Building an Enterprise Web Solution with AEP
(ATS6-DEV03) Building an Enterprise Web Solution with AEP
 
(ATS6-DEV02) Web Application Strategies
(ATS6-DEV02) Web Application Strategies(ATS6-DEV02) Web Application Strategies
(ATS6-DEV02) Web Application Strategies
 
(ATS6-DEV01) What’s new for Protocol and Component Developers in AEP 9.0
(ATS6-DEV01) What’s new for Protocol and Component Developers in AEP 9.0(ATS6-DEV01) What’s new for Protocol and Component Developers in AEP 9.0
(ATS6-DEV01) What’s new for Protocol and Component Developers in AEP 9.0
 

Recently uploaded

React Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkReact Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkPixlogix Infotech
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...
Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...
Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...itnewsafrica
 
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
 
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security ObservabilityGlenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security Observabilityitnewsafrica
 
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...BookNet Canada
 
Accelerating Enterprise Software Engineering with Platformless
Accelerating Enterprise Software Engineering with PlatformlessAccelerating Enterprise Software Engineering with Platformless
Accelerating Enterprise Software Engineering with PlatformlessWSO2
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024TopCSSGallery
 
A Glance At The Java Performance Toolbox
A Glance At The Java Performance ToolboxA Glance At The Java Performance Toolbox
A Glance At The Java Performance ToolboxAna-Maria Mihalceanu
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA
 
JET Technology Labs White Paper for Virtualized Security and Encryption Techn...
JET Technology Labs White Paper for Virtualized Security and Encryption Techn...JET Technology Labs White Paper for Virtualized Security and Encryption Techn...
JET Technology Labs White Paper for Virtualized Security and Encryption Techn...amber724300
 
React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...Karmanjay Verma
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality AssuranceInflectra
 
All These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFAll These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFMichael Gough
 
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...itnewsafrica
 
Digital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentDigital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentMahmoud Rabie
 
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...panagenda
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI AgeCprime
 

Recently uploaded (20)

React Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkReact Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App Framework
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...
Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...
Irene Moetsana-Moeng: Stakeholders in Cybersecurity: Collaborative Defence fo...
 
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
 
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security ObservabilityGlenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
 
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
 
Accelerating Enterprise Software Engineering with Platformless
Accelerating Enterprise Software Engineering with PlatformlessAccelerating Enterprise Software Engineering with Platformless
Accelerating Enterprise Software Engineering with Platformless
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024
 
A Glance At The Java Performance Toolbox
A Glance At The Java Performance ToolboxA Glance At The Java Performance Toolbox
A Glance At The Java Performance Toolbox
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024
 
JET Technology Labs White Paper for Virtualized Security and Encryption Techn...
JET Technology Labs White Paper for Virtualized Security and Encryption Techn...JET Technology Labs White Paper for Virtualized Security and Encryption Techn...
JET Technology Labs White Paper for Virtualized Security and Encryption Techn...
 
React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
 
All These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFAll These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDF
 
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
 
Digital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentDigital Tools & AI in Career Development
Digital Tools & AI in Career Development
 
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI Age
 

(ATS6-DEV08) Integrating Contur ELN with other systems using a RESTful API

  • 1. (ATS6-Dev08) Integrating Contur ELN with other systems using a RESTful API Mats Kihlén Director R&D and Pre-sales Stockholm, Sweden mats.kihlen@accelrys.com
  • 2. The information on the roadmap and future software development efforts are intended to outline general product direction and should not be relied on in making a purchasing decision.
  • 3. Content • Contur ELN basics • Extending the ELN capabilities • RESTful API – strategy and architecture • Solution examples
  • 4. Contur ELN basics • Corporate documentation system for capturing and sharing experimental observations • Experiment rather than data centric • Out-of-the-box solution – No customized workflows – Basic connections to other systems through lookup sections • Common for all disciplines
  • 8.
  • 9.
  • 10. Technology choice • Traditionally we connect to other systems using ODBC – Limited functionality – Hard to access all data, e.g. due to serialized objects – Vulnerable to database changes – Not available for Cloud customers • Communicating via an API on the application server would be better!
  • 11. Extending the capabilities Formulations Analytical Packaging Domain specific capabilities Domain specific capabilities Domain specific capabilities Contur ELN
  • 12. API development scope • Based on RESTful services – State-of-the-art technology based on http – Very general operations: GET, DELETE, PUT, POST • Focus on experiment content – Extract selected information from one or several experiments (GET) – Data returned as XML or JSON objects – Insert data into specified experiments (PUT, POST) • Ability to call external applications from the client – Limited configuration of icons and buttons – currently from an experiment – Through PipelinePilot protocols
  • 13. REST API Syntax - example Operation URL Start Client http://w2k8-contur-eln.accelrys.net/ Get Information about the system: Users Fetch all users http://w2k8-contur-eln.accelrys.net/api/v1/users <-- A user http://w2k8-contur-eln.accelrys.net/api/v1/users/1704 http://w2k8-contur-eln.accelrys.net/api/v1/users/821 Get information about experiments of a user http://w2k8-contur-eln.accelrys.net/api/v1/users/1704/experiments Fetch author of an experiment http://w2k8-contur-eln.accelrys.net/api/v1/experiments/EXP-12-AA0103/author Get an experiment http://w2k8-contur-eln.accelrys.net/api/v1/experiments/EXP-12-AA0103 Get a sections of an experiment http://w2k8-contur-eln.accelrys.net/api/v1/experiments/EXP-12-AA0103/sections Get data of a section http://w2k8-contur-eln.accelrys.net/api/v1/sections/1050 http://w2k8-contur-eln.accelrys.net/api/v1/sections/{ID}/data http://w2k8-contur-eln.accelrys.net/api/v1/data/1051 API Help file
  • 14. • Launch PLP protocols from the Contur ELN client and have the result documented in an experiment – List of available protocols in the experiment toolbox – Synchronous or asynchronous running mode – Input interactively and/or from Contur ELN sections – Results pushed back into ELN experiment (as text, image, Excel-file, file attachment etc) • Component collection embedding API calls will be available – Direct API calls from any application also possible Calling applications
  • 15. Application example : Run PipelinePilot protocol Choose protocol from new toolbox in the experiment editor
  • 16. Application example : Run PipelinePilot protocol Input data can be read from an ELN section
  • 17. Application example : Run PipelinePilot protocol Run the protocol...
  • 18. Application example : Run PipelinePilot protocol Protocol reads data from experiment and provides options
  • 19. Application example : Run PipelinePilot protocol ...get results
  • 20. Application example : Run PipelinePilot protocol ...and push back into the experiment
  • 21. Application example : Ad hoc reporting Launch reportinging protocol
  • 22. Application example : Ad hoc reporting ...select sections to publish
  • 23. Application example : Ad hoc reporting View report
  • 24. Application example : Ad hoc reporting ...post to SharePoint
  • 25. • First version planned for June 2013 release – All GET, some PUT and POST – Focus on experiment content – The Web client is refactored to use API communication – Available on the Cloud • Second version November 2013 – All PUT/POST actions – Non-experiment calls (user statistics etc) – Finalize Web client to only use API as communication method – Call PLP protocols from the Web client Status and Release plans
  • 26. • Keeping the core ELN out-of-the-box is critical • The new API provides an efficient communication method allowing integration, both with external systems and to build functional extensions • The API will also be available for the Cloud • Building clients on the API facilitates good quality and performance Conclusions