Orientation to ICRISAT Data Management Unit activities

Chukka Srinivasa Rao Data Management Unit - KSI

Orientation to ICRISAT Data Management Unit activities 5, December, 2013

Agenda

Background

Why Established Data Management Unit ?

Key objectives of Data Management Unit

Data Management Strategy

Ongoing activities

Future plans and Way forward

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.

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.

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

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

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

Data Management Strategy

“Access to data to get successful results”

Decentralized Data Management Platforms with Central Data Repository

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

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

Data Management Unit - Activities

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.

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

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.

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

Ongoing DMU Activities…cont.

Tablet based Data Collection tool – Krishi Gyan Sagar (KGS)

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.

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

Thanks!