A Remarkable Record of Science for Change Since 1967.

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A Remarkable Record of Science for Change Since 1967 Implementation of CIAT’s Research Data Management Policy

Transcript of A Remarkable Record of Science for Change Since 1967.

Page 1: A Remarkable Record of Science for Change Since 1967.

A Remarkable Record of Science for Change

Since 1967

Implementation of CIAT’s Research Data Management Policy

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A Remarkable Record of Science for Change

Since 1967

Description of Policy• Defines standard terms of CIAT data management and provides guidance

for implementing the access, storage, preservation, internal and external sharing and exchange of data associated with research activities.

• CIAT wants to promote the sharing of data as widely and effectively as possible

• All data generated under the auspices of the Center belongs to CIAT and should remain in the public domain

• Maximum of two years after completion of data collection before making the data publicly available (outside CIAT) unless the data is made available earlier through a scientific publication

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A Remarkable Record of Science for Change

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Description of Policy

• All research data within CIAT has open access without further need to establish internal agreements for use.

• CIAT’s researchers are responsible for the handing over of project results to the Data Management Unit, including: – primary and secondary data, documented registries and trial protocols

using the appropriate forms.

• This policy has been completely approved by the Management Team

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A Remarkable Record of Science for Change

Since 1967

Current Status

• Implementation will begin with datasets obtained after Feb 1, 2012; Some datasets collected prior to this policy may not be sufficiently well documented for public release and must be revised before doing so.

• Definition of metadata:– A block or group of data that defines, explains and complements a

dataset resulting from research (trials, surveys, census etc.)

• 3 stages defined for the implementation of the policy– Data Definition, Data Collection, Data Presentation & Sharing

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A Remarkable Record of Science for Change

Since 1967

First Stage – Awaiting Feedback(Suggestions from the regions are welcome)

• Field and Laboratory data collected though research trials

Phenotypic and Soils Data

• Surveys, census, questionnaires etc.

Socioeconomic data

• Maps and Climate data

Geospatial and Climatic Data

• Laboratory data such as markers, sequences, QTLs, etc.

Genotypic and Laboratory Data

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A Remarkable Record of Science for Change

Since 1967

Second Stage – In Process(How to collect and store information)

Phenotypic and Soils Data:

• A Web module will be developed, to allow the capture of metadata associated with trials, definition of trait descriptors etc. that will generate a field book which can be later downloaded for data input

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A Remarkable Record of Science for Change

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Second Stage – In Process(How to collect and store information)

Socioeconomic Data:

• An Excel template will be implemented with all the descriptions and the information needed. These files will be stored by IT to make them available at a later date.

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A Remarkable Record of Science for Change

Since 1967

Second Stage – In Process(How to collect and store information)

Geospatial and Climatic Data:

• This Information will be stored directly by using the software for generating ArcInfo maps, and may be kept in the institutional databases.

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A Remarkable Record of Science for Change

Since 1967

Second Stage – In Process(How to collect and store information)

Genotypic and Laboratory data:

• A system will be developed that includes data for laboratory books. In cases where there is existing field data collection, the phenotypic data model can be used, but an additional module should be developed to complement the laboratory information.

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A Remarkable Record of Science for Change

Since 1967

Third Stage – In Process(How to present and share Research Results)

Evaluation of Alternatives

• A process should be initiated to select one of the following alternatives and evaluate which fits more to CIAT’s information.

• A few alternatives are:• IFPRI is using Dataverse for publications:

http://dvn.iq.harvard.edu/dvn/dv/IFPRI

• CIAT has developed a software to share raw data known as AGTRIALhttp://www.agtrials.org:8080/

• This stage is to be carried out in parallel to the second stage, in order to adjust them as necessary.

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A Remarkable Record of Science for Change

Since 1967

Thank You

Any Comments or Suggestions?Please contact Maya Rajasekharan

([email protected])