Orientation to ICRISAT Data Management Unit activities
Transcript of Orientation to ICRISAT Data Management Unit activities
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Chukka Srinivasa Rao Data Management Unit - KSI
Orientation to ICRISAT Data Management Unit activities 5, December, 2013
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Agenda
Background
Why Established Data Management Unit ?
Key objectives of Data Management Unit
Data Management Strategy
Ongoing activities
Future plans and Way forward
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Background
Traditional method of data generation, collection, reporting, and publishing did not allow to share the data effectively on which the research articles were based.
Voluminous research data generated in the last 4 decades at ICRISAT were restricted to scientists’ computers, files or other storage devices due to lack of formalized process of automated data flow for aggregation, preservation and Sharing.
These huge datasets can serve as key assets to ICRISAT and its partner organizations for future research activities.
Also there is increasing requirement from donor funding agencies, to include data management strategies to ensuring public funded research data are shared with public and are available to re-use for public good.
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Why Established DMU?
The Need
• Understanding the value of these research data as valuable asset, ICRISAT recognized the need to establish separate unit to handle data management activities.
Goal
• With a goal to aggregate research datasets that are produced across the institute and organize them efficiently in a “central data repository” with structured access to individual datasets.
Function
• Support the scientific community at ICRISAT with innovative tools, techniques and infrastructure support for better data management, aggregation, sharing and preservation.
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Key objectives of DMU
Develop a user friendly suite of work-flows and
protocols for data management
Develop methods to aggregate and preserve
the data
Capacity Building and Awareness Creation
Support in Requirement Gathering to procure/design data
analysis system
Global outreach
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Before 2010 2010-2011 2012-2013 Future
No data uniformity Initiated the Digitization of the
research data
Executing VDSA DM project
Policy making at Organizational level
Unstructured data Initiated Data management projects
Implementing aWhere-HOPE and TLII
Implement DM strategy for CG centers
No Data sharing and publishing
Initiated the Central Data Repository
Open source -data sharing and analytical tools
Standardize meta data and data formats
No digital security Initiated Data security standards
Plant Breeding Software- AGROBASE
Data governance Enterprise Data
management
No Relational data management
Initiated IBP, Genomics and Genetic resource data
management projects
Develop Decision support system
Evolution and Evaluation of DMU @ ICRISAT
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Develop methods to aggregate and preserve the data
Capacity Building and Awareness Creation
Support in Requirement Gathering to procure/design data analysis
system Global outreach
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Data Management Strategy
“Access to data to get successful results”
Decentralized Data Management Platforms with Central Data Repository
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Data Management - Process Flow
• One stop shop for data aggregation, validation, analysis to perform day to day activities of researchers
• Centralized data management platform for the partners, funders, researchers
• Address pressing global issues to boost crop productivity and resilience by facilitating access to best research results, cutting edge technologies
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Data Management – Conceptual Framework
Knowledge Sets
Curated/
Validated
Data Sets
Data Retrieval
Data Analysis
Results
Research
Programs
Research
Projects
ICRISAT
Research
Objectives
Observational Units/Data
Experimental
Design
Central
Data Repository
Access to Data to get Successful Results For Addressing Pressing Global Issues
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Data Management Unit - Activities
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Ongoing DMU Activities
aWhere Data Management Platform
• Coordinate on requirement gathering from scientists
• Identified suitable data management for Tropical Legume and HOPE projects.
• Coordinate on successful implementation of aWhere Data management platform.
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Ongoing DMU Activities…cont.
Village Development Studies in South Asia (VDSA)
• Supported in Software Requirement Specifications (SRS) requirement gathering
• Technical advisory to VDSA data warehouse project team.
• Testing VDSA Application for suitability
• Ensuring smooth functioning of application
1. Integrate socio–economic data into warehouse system 2. Farm Field level information to the users 3. Online Analytical Reports 4. Village Dynamics Database
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Ongoing DMU Activities…cont.
Tablet based Data Collection tools
• Implementing tablet based data collection & reposting system using open source and proprietary software.
• Helping scientist to adopt appropriate tools for data collection, aggregation and real –time transfer to central repository.
• Capacity building and training on use of tablet mediated tools.
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Ongoing DMU Activities…cont.
Automation of Paper base LSU Data Management Systems
• Implementation of Paper less Data Management Application for LSU
• Provide consistent online paperless on-boarding process & data management system.
Development of Data Management Unit Website
• Knowledge repositories of ICRISAT Data Management activities
• Share best practices, case study and information with global community about ICRISAT initiatives on Data Management
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Ongoing DMU Activities…cont.
Tablet based Data Collection tool – Krishi Gyan Sagar (KGS)
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Krishi Gyan Sagar (KGS) Innovations in linking research-extension-farmers-markets
Modules (Farm to Fork) in both tablet/mobile app as well as web app Experimentation is in progress in three experimental hubs located in Mahabubnagar
& Ananthapur districts of AP and Bhoochetana districts in Karnataka. Each experimental hub is unique and experiments are carried out with different set
of partners to test the hypothesis.
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Way forward
Integration of Data Management Tool/ Repositories
Automation of CRP Work Plan repository
Integration of ‘’ R “software and GIS features in ICRISAT Dataverse
Implement and share best practices on data management in closed coordination to CG Centers
Organize capacity building and training programs on data management activities
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Thanks!