FAIR
social science da a
enhancemen
Janez Š ebe, UL/ADP
11TH INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE
METHODOLOGY, Naples, Thu sday, Sep embe 25 h,
11:00-13:00 Session 12C: 8-Emb acing Open Science: Me hodological and
Epis emological Challenges in Resea ch In as uc u es o he Social Sciences II
In oduc ion
Inc easing olume o da a
accessible
In en : Facili a e da a Re-use ia
seconda y analysis
FAIR p inciples is all abou inc easing
da a eusabili y
One o he mission o da a eposi o ies: o suppo
da a p oduce s in FAIR da a enhancemen
By p o iding esou ces and guidance in planning and
p ocessing da a o inc easing he euse po en ial
The e is oom o imp o emen in
making da a speci ically mo e FAIR Examples o esou ces and hei u iliza ion o da a FAIRi ica ion
Resea ch Da a Alliance FAIR Da a Ma u i y
Model Wo king G oup. ‘FAIR Da a Ma u i y
Model: Speci ica ion and Guidelines’, 2020.
h ps://doi.o g/10.15497/RDA00050.
FAIR p inciples e e ences o Da a (wi hou ‚me a‘-)
FAIR
ID Indica o
F1 RDA-F1-
01D
Da a is iden i ied by a pe sis en iden i ie
F1 RDA-F1-
02D
Da a is iden i ied by a globally unique iden i ie
A1 RDA-A1-
02D
Da a can be accessed manually (i.e. wi h human in e en ion)
A1 RDA-A1-
03D
Da a iden i ie esol es o a digi al objec
A1 RDA-A1-
04D
Da a is accessible h ough s anda dised p o ocol
A1 RDA-A1-
05D
Da a can be accessed au oma ically (i.e. by a compu e p og am)
A1.1
RDA-A1.1-
01D
Da a is accessible h ough a ee access p o ocol
A1.2
RDA-A1.2-
01D
Da a is accessible h ough an access p o ocol ha suppo s
au hen ica ion and au ho isa ion
I1 RDA-I1-01D Da a uses knowledge ep esen a ion exp essed in s anda dised
o ma
I1 RDA-I1-02D Da a uses machine-unde s andable knowledge ep esen a ion
I2 RDA-I2-01D Da a uses FAIR-complian ocabula ies
I3 RDA-I3-01D Da a includes e e ences o o he da a
I3 RDA-I3-02D Da a includes quali ied e e ences o o he da a
R1.3
RDA-R1.3-
01D
Da a complies wi h a communi y s anda d
R1.3
RDA-R1.3-
02D
Da a is exp essed in compliance wi h a machine-unde s andable
communi y s anda d
Example:
S anda d occupa ion coding (ISCO by
ILO)
Based on i , he in e na ional ESeC and
Occupa ional p es ige sco e can be
de i ed
Sha ed social science concep s and
ope a ionalisa ions
Classi ica ions and his o ical
ha monisa ion ables, compu e code
syn ax, e e ence da a and me ada a
se s e c.
U ilisa ion o s anda d demog aphics a iables in new da a p oduc ion planing and managemen
Some esou ces:
•Ha y Ganzeboom’s Tools o de i ing occupa ional s a us
measu es om ISCO-08 wi h in e p e a i e no es o ISCO-08
h p://www.ha yganzeboom.nl/isco08/index.h m
•Hughes BT, S i as a a S, Leszko M, Condon DM (2024):
Occupa ional P es ige: The S a us Componen o
Socioeconomic S a us. Collab a: Psychology 16 Janua y 2024;
10 (1): 92882. h ps://doi.o g/10.1525/collab a.92882
•GML, Ge man Mic oda a Lab (2025): MISSY - Me ada a o
O icial S a is ics: Da a Handling & Analysis: EU-SILC. GESIS.
Accessed on May 2025.
h ps://www.gesis.o g/en/missy/ma e ials/EU-
SILC/ ools/da ahandling
•BIBB-FDZ (2025): Me ada a Ca alogue. The Fede al Ins i u e
o Voca ional Educa ion and T aining (BIBB). Accessed May
2025. h ps://me ada en.bibb.de/en/
•Van Leeuwen, MHD, 2016, "Files om HISCO da abase",
h ps://hdl.handle.ne /10622/JA9B8O, IISH Da a Collec ion,
V1.
Examples:
GeoNames iden i ie s esol ing he
language and poli ical changes o e
ime (e.g. Mezzoli, 2022)
Measu ed cha ac e is ics o he named
en i ies om pa allel sou ces as
con ex ual da a
‚Mac o‘ da a keep as a esou ce
eady o in eg a ion wi h ‚mic o‘
da a (e.g. ESS 2019 and CSES
2023)
C oss disciplina y da a in eg a ion
chalenging (e.g. Ha ison, 2024;
G ego y e . al. 2023)
Consis en use o s anda d iden i ie s o named en i ies (loca ions, poli ical pa ies,
peoples...)
Re e ences:
•Mezzoli, E (2022): His o ical da a o he labou o ce, 1945-1947:
Zone A-AMG-Venezia Giulia (Allied Mili a y Go e nmen ) [Da a
ile]. Ljubljana: UL/Slo enian Social Science Da a A chi es.
h ps://doi.o g/10.17898/ADP_HDS47_V1.
•CSES Compa a i e S udy o Elec o al Sys ems (2023): Da a
B idging. Accessed on May 2025. h ps://cses.o g/da a-
download/da a-b idging/
•ESS Eu opean Social Su ey (2019): Con ex ual in o ma ion o
Round 8 now a ailable. Accessed on May 2025.
h ps://www.eu opeansocialsu ey.o g/news/a icle/con ex ual-
in o ma ion- ound-8-now-a ailable
•Ha ison, E (2024). Clima e and Ai Quali y Da a in A i udinal
Resea ch: A Feasibili y Use-Case. Zenodo.
h ps://doi.o g/10.5281/zenodo.10581886
•G ego y A, Wacke ow J, O en H (2023) Reuse and
Rep oducibili y: Desc ibing C oss-Domain Resea ch Da a in
he Science P ojec Clima e Neu al and Sma Ci ies. ARPHA
P ep in s. h ps://doi.o g/10.3897/a phap ep in s.e115047
Conce ns abou he p oli e a ion o
cons uc s and measu es
("jingle/jungle allacies") (NASEM,
2022).
Di icul ies in a iables s anda disa ion
and da a ha monisa ion om mul iple
single s udies
Challenges in eusing exis ing
(psychological) measu es in di e en
esea ch design se ings (Ryse , 2023).
On ology esou ces (e.g. ELSST
Thesau us)
Reposi o ies o exis ing measu es like
Eu opean Ques ion Bank (EQB) and
REPOPSI
Exis ing concep s and ope a ionalisa ions o key social science a iables o Findabili y and
Reuse
Re e ences and esou ces:
•NASEM, Na ional Academies o Sciences, Enginee ing,
and Medicine (2022): On ologies in he Beha io al
Sciences: Accele a ing Resea ch and he Sp ead o
Knowledge. Washing on, DC: The Na ional Academies
P ess. h ps://doi.o g/10.17226/26464 .
•Ryse , V.-A. (2023). Measu ing Psychological
cons uc s. FORS Guide No. 22, Ve sion 1.0. Lausanne:
Swiss Cen e o Expe ise in he Social Sciences FORS.
h ps://doi.o g/10.24449/FG-2023-00022
•EQB and ELSST on CESSDA Digi al Tools (2025).
h ps://www.cessda.eu/Tools
•FAIRsha ing.o g (2024b): REPOPSI; Reposi o y o
Psychological Ins umen s in
Se bian, h ps://doi.o g/10.25504/FAIRsha ing.d8 ec9
•FAIRi ica ion imp o es da a quali y and u ili y
•Da a anspa ency os e s cumula i e knowledge p oduc ion, and o he
•Mo i a ing and aining da a p oduce s o engaging in deepe ano a ion and use o
esou ces
•Enabling esea ch communi y and in as uc u e p o ide s e o s o sus aining such
esou ces
Conclusions
Uni e si y o Ljubljana
Facul y o Social Sciences
Social Science Da a A chi e
Ka delje a ploščad 5
1000 Ljubljana
Slo enia
www.adp. d .uni-lj.si
[email p o ec ed]i-lj.si
A hi .D uzboslo nih.Poda ko
@A hi Poda ko
Thank you!
