INSPIRE PEACH has setup a training program that can help uncover and address the skills and
knowledge gaps of health data professionals with several pathways of training in mind such
as data
trackers, data managers, analysts. The course were developed with the aim to support
scientists
working on health data mapping and transformation tasks and data discovery, access and
reuse.
There are several pathways which can be constructed with these modules. For example:
This module provides an overview of the INSPIRE PEACH project that is harnessing COVID-19 data to support public health and economic decision making in Kenya and Malawi - COVID AI. The two African countries that adopted different strategies in combating the COVID-19 pandemic.
Course developers
: Sylvia Muyingo
C1
M11
Data Ethics, protection and governance
Course developers
: Courses available online
Course Detail
C1
M11
Data Ethics, protection and governance
This course is aimed at equipping INSPIRE PEACH data handlers and users with training on the various aspects of ethics and data protection.
Course developers
: Courses available online
C1
M12a
Data Search and selection and discovering
Course developers
: Marylene Wamkoya and Chifundo Kanjala
Course Detail
C1
M12a
Data Search and selection and discovering
This module seeks to equip data trackers with data searching skills and data inventorying skills for recording the high-level contextual details of the data that they come across during their search.
Course developers
: Marylene Wamkoya and Chifundo Kanjala
C1
M12b
Acquiring and awareness data anonymisation
Course developers
: Marylene Wamkoya and Chifundo Kanjala
Course Detail
C1
M12b
Acquiring and awareness data anonymisation
New description about this course
Course developers
: Marylene Wamkoya and Chifundo Kanjala
C1
M12c
Development of a new data specification
Course developers
: Jim Todd, Jay Greenfield, Marylene Wamkoya and Chifundo Kanjala
Course Detail
C1
M12c
Development of a new data specification
Course developers
: Jim Todd, Jay Greenfield, Marylene Wamkoya and Chifundo Kanjala
C1
M13
INSPIRE PEACH data exchange protocols
Course developers
: Jay Greenfield and Maeve Campman
Course Detail
C1
M13
INSPIRE PEACH data exchange protocols
Course developers
: Jay Greenfield and Maeve Campman
C1
M14a
Introduction to OMOP
Course developers
: Amelia Taylor
Course Detail
C1
M14a
Introduction to OMOP
Course developers
: Amelia Taylor
C1
M14b
INSPIRE PaaS overview
Course developers
: Tathagata Bhattacharjee and Jay Greenfield
Course Detail
C1
M14b
INSPIRE PaaS overview
This module provides an overview of INSPIRE PEACH’s Platform as a Service (PaaS) architecture. Here, the design, configuration and deployment of the various services will be explained through video demonstrations.
Course developers
: Tathagata Bhattacharjee and Jay Greenfield
C2
M21
Data Profiling and quality assessment
Course developers
: Tathagata Bhattacharjee and Linda Maoyi
Course Detail
C2
M21
Data Profiling and quality assessment
Course developers
: Tathagata Bhattacharjee and Linda Maoyi
C2
M22
Transforming source data to INSPIRE PEACH exchange protocols
Course developers
: Tathagata/ Amelia/Linda
Course Detail
C2
M22
Transforming source data to INSPIRE PEACH exchange protocols
Course developers
: Tathagata/ Amelia/Linda
C2
M23
Mapping concepts in the data exchange protocols to OMOP standard vocabularies
Course developers
: Jay/ Maeve
Course Detail
C2
M23
Mapping concepts in the data exchange protocols to OMOP standard vocabularies
Course developers
: Jay/ Maeve
C2
M24
Transforming data from data exchange protocols into OMOP CDM
Course developers
: Amelia/ Tathagata Jay
Course Detail
C2
M24
Transforming data from data exchange protocols into OMOP CDM
Course developers
: Amelia/ Tathagata Jay
C2
M25
Providing data for users and analysts
Course developers
: ??
Course Detail
C2
M25
Providing data for users and analysts
Course developers
: ??
C3
M31
Potential for automated and integrated data
Course developers
: Amelia Taylor
Course Detail
C3
M31
Potential for automated and integrated data
Course developers
: Amelia Taylor
C3
M32
Data validation
Course developers
: Amelia Taylor
Course Detail
C3
M32
Data validation
Course developers
: Amelia Taylor
C3
M33
Integrated data
Course developers
: Amelia Taylor
Course Detail
C3
M33
Integrated data
Course developers
: Amelia Taylor
C3
M34
Structured metadata for source data
Course developers
: Chifundo Kanjala and Arofan Gregory
Course Detail
C3
M34
Structured metadata for source data
Course developers
: Chifundo Kanjala and Arofan Gregory
C3
M35
Data provenance and data sharing metadata
Course developers
: Chifundo Kanjala and Arofan Gregory
Course Detail
C3
M35
Data provenance and data sharing metadata
Course developers
: Chifundo Kanjala and Arofan Gregory
C4
M41
OMOP based analytics
Course developers
: Sylvia Muyongo
Course Detail
C4
M41
OMOP based analytics
Course developers
: Sylvia Muyongo
C4
M42
Dashboard analysis
Course developers
: Amelia Taylor
Course Detail
C4
M42
Dashboard analysis
Course developers
: Amelia Taylor
C4
M43
Analysis of impact of Interventions
Course developers
: Sylvia Muyongo
Course Detail
C4
M43
Analysis of impact of Interventions
Course developers
: Sylvia Muyongo
C4
M44
Causal Loop Diagrams
Course developers
: Jim Todd
Course Detail
C4
M44
Causal Loop Diagrams
Course developers
: Jim Todd
C5
M51
Mapping governance, provenance across the data life cycle
Course developers
: Arofan Gregory, Chifundo Kanjala and Jim Todd
Course Detail
C5
M51
Mapping governance, provenance across the data life cycle
Course developers
: Arofan Gregory, Chifundo Kanjala and Jim Todd
C6
M52
Data analytics for policy decision support
Course developers
: Sylvia Muyongo
Course Detail
C6
M52
Data analytics for policy decision support
Course developers
: Sylvia Muyongo
Get in touch
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