Fede ica Bazzocchi, A ea Science Pa k
GenOA Week 2025
18/11/2025
CHALLENGES AND
OPPORTUNITIES OF
REAL FAIR-BY-DESIGN
Mas e in Da a Managemen and Cu a ion
The Mas e in Da a Managemen and Cu a ion was launched in
2024–2025 as pa o a pilo ini ia i e by A ea Science Pa k,
CNR-IOM, and SISSA, suppo ed by p ojec s unded unde
I aly’s Na ional Reco e y and Resilience Plan (PNRR).
Mas e in Da a Managemen and Cu a ion Pilo edi ion
2024-2025 had well de ined and clea goals
T aining new expe s in FAIR
Da a Managemen de o ed o
dissemina ion o FAIR p inciples,
echniques and ools in he
expe imen al labo a o ies o he
PRP and NFFA-DI Resea ch
in as uc u e
Realizing FAIR-by-design
pipelines in he labo a o ies o
he in ol ed Resea ch
In as uc u es
Funded by he Na ional Reco e y and Resilience Plan (“PNRR”) wi hin “Missione 4, Is uzione e Rice ca - Componen e 2, Dalla ice ca
all’imp esa - Linea di in es imen o 3.1, Fondo pe la ealizzazione di un sis ema in eg a o di in as u u e di ice ca e inno azione”, wi h
unds om he Eu opean Union –Nex Gene a ionEU.
Tu n o be a
a o able
oppo uni y o ou
o ma : mixing
on al lessons and
p ac ical in e nship
Why do we need
MDMC?
6
Da a a e g owing as e han e e .
The eal challenge is no hei quan i y, bu ou
capaci y o manage hem esponsibly
MDMC aims a p epa ing pa icipan s wi h he heo y and
p ac ice o succeed in his mission, p o iding he skills o u n
his challenge in o oppo uni y
Mission :
To ain p o essionals capable o ans o ming da a
challenges in o alue, inno a ion, and collec i e knowledge.
DIGITAL INFRASTRUCTURES and DATA SPACES will
p o ide he echnological and policy amewo k,
people p o ide he p ac ice.
We need a change o pe spec i e om ‘FAIR da a’ o
‘FAIR-by-design’ beha io s ac oss labs, eposi o ies,
and se ices.
We canno ha e a FAIR ecosys em wi hou FAIR-
skilled people.
MDMC is designed o
The undamen al p inciples o ep oducibili y
FAIR DATA MANAGEMENT is no a bu euc a ic bu den
FAIR can be seen as he hecnical implemen a ion o he
scien i ic me hod
T aining he nex gene a ion
o FAIR & Da a p o essionals
•Open Resea ch In as uc u es
•Da a Cen e and HPC ORFEO
•Labo a o y o Da a Enginee ing – LADE
•Technology Pa k
• Theo e ical and Scien i ic Da a Science G oup
•Pionee in OA (hos ed A Xi e se e s, OA
jou nals)
•O he success ul Mas e s p og ams (MSC,
MHPC)
Ou ecosys em combines in as uc u es, esea ch expe ience, inno a ion
and a s ong Open Science cul u e
MASTER IN DATA MANAGEMENT AND CURATION
FAIR-BY-DESIGN
METHODOLOGY
FAIR da a managemen by design is an
app oach ha ensu es he applica ion o
FAIR p inciples om he incep ion o a
p ojec , making he da a Findable,
Accessible, In e ope able, and Reusable
(FAIR) h oughou all s ages o esea ch
da a li ecycle.
The nex gene a ion o esea che s
should be ained and suppo ed o do
anspa en and ep oducible science
om day one — ha is, o be “open
science na i es”.
Open By Design — Open By Design a
S an o d (dsi-co es.gi hub.io)
and
DOI 10.5281/zenodo.3332807
BY DESIGN!!!
WE HAVE A DREAM….
•analyzing he con en
and s uc u e
•de ining and choosing
a seman ic model,
•en iching he
eco e able me ada a
• ans o ming i in o
an open and linkable
o ma
•assigning licenses.
FAIRi ica ion
GO FAIR amewo k
0
20
40
60
80
100
120
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ime spen
P oduce he da a
Images gene a ed by AI
LEGO® Da a Classi ica ion
Games o FAIR Da a T aining
h ps://doi.o g/10.5281/zenod
o.17183871
•Planning he s uc u e
•Planning he inges ion
•de ining and choosing a
seman ic model,
•Planning how o collec
me ada a
• how o ans o m da a
in o an open and linkable
o ma
•choosing licenses
FAIR-by-design
Implemen he pipeline
Images gene a ed by AI
0
20
40
60
80
100
120
10 20 30 40 50 60 70 80 90 100 110 120 130 140 150
ime spen
‘‘ he planning and he implemen a ion o a da a jou ney
such ha , o e e y da a mo emen om si e o si e,
da a and me ada a a e p oduced and ans o med in a
way compa ible o he FAIR p inciples. Ideally, e e y
mo emen o he jou ney ou pu s a machine-ac ionable
da a objec .’’
Fai -by-design da a jou ney: a bluep in , F.Vasone and
F.Bazzocchi, in p epa a ion
Da a eposi o y
OFED (da alake)
SEP
The Con ex : Elemen s o he Resea ch Digi al In as uc u e
Ca alogue managemen /
Facili y access
manangemen
Da a & Me ada a P oduc o s
FAIR-by-design da a&me ada a
collec o s
Da a se ices
DB alignmen
Example: CNR-IFN.TN AND CNR-ISMN.BO
Ques a o o di Au o e sconosciu o è concesso in licenza da CC BY
Ques a o o di Au o e sconosciu o è
concesso in licenza da CC BY-SA-NC
TN
BO
FABLIMS
CAMS
JSON FORMAT ,
OWN
VOCABULARY
WORD FORMAT
OWN
VOCABULARY
BOTTOM –UP APPROACH
•C ea ion o syne gies among
labo a o ies o di e en ins i u ions
ha had same echniques (and
di e en ins umen a ions)
•Compa ison among di e en da a
p oduc ion wo k low o each a
common laye
•Acquisi ion o he same me ada a
s anda ds and da a o ma s
•Sha ing o skills and compe encies,
c ea ion o a communi y
Example: CNR-IFN.TN AND CNR-ISMN.BO
TN
BO
FABLIMS
CAMS
JSON FORMAT ,
SHARED
VOCABULARY
JSON FORMAT
SHARED
VOCABULARY
NEW
MODULE
MAPPING
UNIQUE
PLUGIN REPOSITORY
Da a p oduced a CNR-IFN.TN
and CNR.ISMN.BO a e NOW
ully in e ope able!
common seman ic and
syn ac ic
Ques a o o di Au o e sconosciu o è concesso in licenza da CC BY
Ques a o o di Au o e sconosciu o è
concesso in licenza da CC BY-SA-NC
We lea n and we a e
lea ning a lo …
Passion d i es be e science
When s uden s lea n he p inciples o Open Science and Da a Cu a ion,
hey don’ jus acqui e new skills, hey emb ace a new way o doing science.
They eel engaged, mo i a ed, and awa e ha by aking ca e o da a, hey a e
also aking ca e o he in eg i y and u u e o esea ch.
And ha passion makes
hem be e scien is s.
Image gene a ed by AI
STRATEGIES LEARNT FROM THE MASTER
➢FAIR-by-design mindse : in eg a ing da a ca e om he e y beginning.
➢In e disciplina y language: lea ning o communica e ac oss echnical,
legal, and e hical domains.
➢Hands-on lea ning: h ough eal-wo ld in e nships and applied p oblem-
sol ing.
➢Communi y app oach: lea ning oge he , sha ing expe iences, building
us .
➢Da a as a sha ed alue: unde s anding ha ca ing o da a means ca ing
o science i sel .
STRATEGIES THAT COULD MAKE THE
DIFFERENCE
✓Recognise and ewa d da a ca e: include s ewa dship e o s in esea ch
assessmen .
✓In es in p o essional oles: suppo o da a s ewa ds, enginee s, and cu a o s.
✓Encou age communi y engagemen : os e ac i e pa icipa ion in open science
ne wo ks.
✓Highligh success s o ies and champions: make bes p ac ices isible and
inspi ing.
✓S eng hen he b idge wi h ins i u ions and companies: align scien i ic and
inno a ion alue.
✓Teach da a ca e ea ly: embed Open Science and FAIR p inciples in e e y s age o
educa ion.
✓Rewa d collabo a ion and openness: celeb a e sha ed p ocesses, no only
esul s.
ma ia i a.deluca@a easciencepa k.i
ede ica.bazzocchi@a easciencepa k.i
OUR CONTACTS
✓Websi e: MDMC - SISSA
✓A ailable OPEN ma e ial: MDMC - Zenodo
✓Gi eposi o y: MDMC – Gi Hub
✓Email : [email p o ec ed]
MDMC INFORMATION and LINKS
