Data Stewardship Competence Framework: Instrumental in
Organisational Skills Management, Career Path building and Training
Yuri Demchenko (University of Amsterdam)
EDISON Data Science Framework (EDSF): Baisis for Data Stewardship Competences Definition

DS-BoK

MC-DS

Community
Portal (CP)Data Science
Educational Environ

Data Science
Framework

Directory Edu &Train
Materials

DS Prof Profiles

Virtual Data Labs

Foundation & Concepts••••“Best Data Steward is not made but found” DMBOK1(2009)• Separation ofgovernanceresponsibilities• Multi-layer
• CDO
• CIO
• Councils

Applications and Services• Virtual Data Science Labs
• Data Science EducationalEnvironment• Directory of edu & train resources• Community Portal – currently github

CF-DS – Data Science Competence Framework (Part 1)
DS-BoK – Data Science Body of Knowledge (Part 2)
MC-DS – Data Science Model Curriculum (Part 3)
DSPP – Data Science Professional profiles (Part 4)
Data Science Taxonomies and Scientific Disciplines
Classification

Job Market Study: Wide range of Competences: Responsibility, Functions, activities
Functions/Abilities - Competences
806040200
DSE

DMRMP

How to use CF-DSP and DSP-BoK for curriculum Design

DK BizAcademic domain

14121086420LOCompetence

Knowledge

151050DM

RMPAttitude

BoK KA &KU

DSADSEDMRMP

DK BizModelCurriculum• LO• LU
• Courses

PProfileDMBOK20DSESkills

Competence Framework

Required Experience/skills

DSA

Data Governance Office(DGO)• Chief Data Steward• Executive Data
Steward• Business Data Steward
or SME

Knowledge topics

100DSA

Creating and managing core
Metadata
Documenting rules and standards
Managing data quality issues
Executing operational data
governance activities

Apps & Services

EDISON Framework core components anddocuments–––––

Data Steward functions• EDSFspecification• Communitysupport• Tools andcoderepository

CF-DS
Taxonomy andVocabulary

Data Steward in the Organisational Data Management and Governance

DK Biz

DSA – Data Science and Analytics
DSE – Data Science Engineering
DM – Data Management and Governance
RMP – Research Methods and ProjectManagement
DK Biz – Domain Knowledge, particularBusiness domain

EDISON Data Science Framework••Relations between Competences, Skills,
Knowledge/BoK, Professional Profiles
Mapping between Competence elements
and Academic domain elements• LO are defined based on required competences• LU defined by selected KU• Curriculum target defined by intended
Professional Profile• Final curriculum adopted to available resources• Look Adoption Handbook for suggested courses

Outcome Based Educations and Training Model: Addressing target competences for the profession

Individual Competences Benchmarking
Individual Education/Training Path based onCompetence benchmarking

TargetCompetences

Red polygon indicates the chosen professional
profile: Data Scientist (general)
Green polygon indicates the candidate orpractitioner competences/skills profile
Insufficient competences (gaps) are highlightedin red

From Competences and DSP Profiles
to Learning Outcomes (LO)and to Knowledge Unites (KU) and LearningUnits (LU)

DSDA01 – DSDA06 Data Science Analytics
DSRM01 – DSRM05 Data Science Research Methods• EDSF allow for customized educational courses
and training modules design

Can be use for team skills match marking andorganisational skills management
GAPS FOR DSP04
DSBPM06
DSBPM05

DSDA01
5DSDA02
DSDA03

4.5
DSBPM04

DSDA0443.5

DSBPM03

DSDA05

Example Planning courses by semesters

3DSBPM02

DSDA06

2.52

DSBPM01

DSENG01

1.51DSRM06

DSENG02

0.50

DSRM05DSENG03

DSRM04

DSENG04

DSRM03

DSENG05

DSRM02

DSENG06

DSRM01

DSDM01
DSDM06

DSDM02
DSDM05

DSDM03
DSDM04

Data Steward in the Data Science TeamReferences
Yuri Demchenko, Lennart Stoy, Research Data Management and Data Stewardship Competences in University Curriculum,
In Proc. Data Science Education (DSE), Special Session, EDUCON2021 – IEEE Global Engineering Education Conference, 2123 April 2021, Vienna, Austria - http://www.uazone.org/demch/papers/educon2021-data-stewardship-competence-fwv02.pdf
The Data Science Framework, A View from the EDISON Project, Editors Juan J. Cuadrado-Gallego, Yuri Demchenko,
Springer Nature Switzerland AG 2020, ISBN 978-3-030-51022-0, ISBN 978-3-030-51023-7
FAIR data [online] https://www.dtls.nl/fair-data/fair-data/
DAMA Data Management Body of Knowledge (DMBOK2), DAMA International, 2017

Contact: Yuri Demchenko <y.demchenko@uva.nl>