ge ö de on:
P epa ing, cu a ing and desc ibing quali a i e esea ch da a
– he RDC Qualise ice app oach
Ka i Mozygemba, Susanna P epeliczay, Noemi Be anco Cab e a
In e na ional Secu e Da a Facili y P o essionals Ne wo k (ISDFPN)
10 h Sep embe 2025, online
DOI: 10.5281/zenodo.17533208
O e iew
The RDC Qualise ice: social science disciplines and ypes o esea ch da a
Focus wo k low o da a p epa a ion, cu a ion and a chi ing:
Pa 1 – Coope a i e p epa a ion o esea ch da a (legal base IC, con ex ualisa ion, anonymisa ion)
Pa 2 – Da a submission p ocess (ag eemen )
Pa 3 – Cu a ion p ocess in he Sa e Cen e
Pa 4 – Me ada a (model, ca aloguing, ou pu )
Pa 5 – Da a a chi ing
The Resea ch Da a Cen e (RDC)
•RDC o all kinds o quali a i e esea ch ma e ials (i.e.,
esea ch da a & con ex ma e ials) in he social &
beha io al sciences
•This includes e.g. in e iew ansc ip s, obse a ion
p o ocols, ield no es, images/pho os, audio isual da a
e c.
•Loca ed a he Uni e si y o B emen; Ge many, head:
P o . D . Be ina Holls ein
•Acc edi ed by he Ge man Da a Fo um (Ra SWD);
membe o Konso SWD-NFDI4Socie y wi hin he
Na ional Resea ch Da a In as uc u e (NFDI)
h ps://www.qualise ice.o g/en/
Focus on “sensi i e“ (e.g., pe sonal) da a and he ela ed e hical, legal, p o essional, and echnical
equi emen s
Wo k low o da a p epa a ion and da a cu a ion a
Cen al cha ac e is ics – Resea ch F iendliness:
•Close coope a ion be ween esea che s and RDC
du ing he whole p ocess
•RDC s a is expe ienced in quali a i e esea ch
•O e lexibili y o di e en esea ch da a ypes o
p ojec speci ic equi emen s
•Fu he de elopmen o wo k low(s) in coope a ion
wi h esea che s om di e en disciplines (use
s udies)
Pa 1 – „Coope a i e Da a P epa a ion“
Wo k low o da a p epa a ion and da a cu a ion a
Wo k low Pa 1 – „Coope a i e Da a P epa a ion“
•Takes place du ing he esea ch p ocess, ou side he RDC
•Qualise ice suppo s esea che s h oughou he en i e esea ch p ojec in he s eps ha a e
impo an o da a sha ing, om he applica ion s age onwa ds,
•The aim is o in eg a e da a p epa a ion in o he esea ch p ojec
•C ea e syne gies (e.g. wi h ega d o documen a ion)
•P e en a backlog o asks a he end o he p ojec
•Find he bes solu ion o he p ojec : aking in o accoun con en - ela ed aspec s,
esea ch e hics and da a p o ec ion aspec s, while maximizing euse alue
•Includes consul a ion and suppo o esea che s wi h a ocus on p ojec -speci ic da a sha ing
equi emen s
•Collabo a ion in designing he da a se (s)
•p o iding handou s and ools
•Consul he comple ing o he da a ans e ag eemen (p e equisi e o ans e o he RDC)
Wo k low Pa 1 – „Coope a i e Da a P epa a ion“
Al e na i es o w i en
In o med Consen
h p://dx.doi.o g/10.26092/elib/1070
IC-Templa e o p ima y esea ch
IC-Templa e o da a
sha ing
•Qualise ice suppo s esea che s in
p epa ing in o med consen ,
•p o ides legally e i ied empla es o
p ima y esea ch, a chi ing and da a
sha ing
•as well as in o ma ion on p ac ices o
in o med consen and al e na i es o
i .
Wo k low Pa 1 – „Coope a i e Da a P epa a ion“
Suppo ing In o med Consen
Wo k low Pa 1 – „Coope a i e Da a P epa a ion“
Pa 2 – Da a submission based on ag eemen wi h da a p o ide s
Wo k low o da a p epa a ion and da a cu a ion a
Comp ises condi ions o da a usage igh s and scien i ic e-use
Indi idual euse condi ions o each da ase de ined by p ima y esea che s (da a p o ide s):
e.g. di e en pu poses ( esea ch/seconda y analyses s. academic eaching)
Scien i ic Use File (SUF) and/o Campus Use File (CUF) wi h di e en le els o anonymiza ion
•De ine scope o au ho ized ci a ions (e.g. leng h; pa aph asing)
•E.g., emba go pe iods (un il p ojec publica ions inalised; ime span p o ec ing in e iewees)
•Re-use wi h/ou app o al by da a p o ide s o in o ma ion o da a p o ide s
•Onsi e-Use o sensible documen s ( ansc ip s, ideos e c.) a B emen Uni e si y
•Time-limi ed pe iods o scien i ic e-use ela ed o speci ic pu pose ( esea ch o eaching)
•Usage ag eemen annexed o da a submission ag eemen
Secu e ans e o (anonymized/pseudonymized) esea ch da a ia p o ec ed upload space
Pa 3 – Cu a ion p ocess in he Sa e Cen e
Wo k low o da a p epa a ion and da a cu a ion a
Pa 3 – Re iew and Cu a ion p ocess in Sa e Cen e
Wo k low o da a p epa a ion and da a cu a ion a
•T ans e o esea ch da a and ma e ials o in e nal d i e in he Sa e Cen e
•Comple eness checks & so ing o iles in o cu a ion di ec o ies; echnical unc ionali y checks
•Re iew o con ex ma e ials: s udy epo , in e iew guidelines, igne es, o he ma e ials
•Check o in o ma ion abou iles and sample p ope ies p o ided in p ojec o e iew able
Pa 3 – Cu a ion p ocess in he Sa e Cen e
Wo k low o da a p epa a ion and da a cu a ion a
Pa 3 – Cu a ion p ocess in he Sa e Cen e
Wo k low o da a p epa a ion and da a cu a ion a
Con ol o anonymiza ion by domain expe s
•Anonymiza ion concep deli e ed by da a p o ide s me hodic basis, ules
•Use o QualiAnon anonymiza ion ool eading o ansc ip s wo d by wo d
•Comple ion o eplacemen s whe e necessa y
•Documen a ion o all changes in able o e iew (place o o igin/ ile/ ow, iden i ied p oblem o
ques ion(s), applied solu ion, name(s) o cu a o (s)
•AI Cha bo ool wi h ins uc ions o cu a o s : cu en ly in implemen a ion
Feedback p ocess wi h da a p o ide s
•Di e en deg ees o anonymiza ion selec ion o iles o SUF and CUF
•Ma e ials ha canno be anonymized su icien ly o wa an p o ec ion o pa icipan s
wi hou oo much loss o scien i ic ele an in o ma ion Onsi e use
Pa 3 – Cu a ion p ocess in Sa e cen e
Wo k low o da a p epa a ion and da a cu a ion a
Teil 3 – Cu a ion p ocess in Sa e cen e : compila ion o mic o-me ada a
Wo k low o da a p epa a ion and da a cu a ion a
Pa 4 – Me ada a
(model, ca aloguing, ou pu )
Wo k low o da a p epa a ion and da a cu a ion a
The Qualise ice Me ada a Model
Requi emen s by designing he Qualise ice me ada a schema:
•(In e )na ional s anda ds und ini ia i es: DDI Speci ica ions,
Da aCi e, DCAT, REFI-QDA and QuDEx
•Reco ding o me ada a: da a c ea o s know hei da a
be e ( e m sugges ions and ee ex en ies) + da a
cu a o s eco d i homogeneously in he sys em
•P oduc : a machine- eadable and FAIR e sion o he s udy
and da a desc ip ion
•P ojec ne wo ks and collabo a i e esea ch cen es can be
eco ded as well as indi idual quali a i e p ojec s and
a ious da a ypes, wa es o da a collec ion and me hods
Pa 4 – Me ada a
Based on DDI Li ecycle
www.ddialliance.o g
The Qualise ice Me ada a Model
Pa 4 – Me ada a
Me ada a in Qualise ice (ca aloguing sys em)
PANGAEA Edi o ial Sys em:
„DDI-P o ile“
Pa 4 – Me ada a
Me ada a in Qualise ice (ca aloguing sys em)
Con olled Vocabula ies
Pa 4 – Me ada a
Da ase me ada a
Pa 4 – Me ada a
Da ase me ada a
Pa 4 – Me ada a
FAIR Me ada a:
•PIDs o he da ase and o e e encing o he esou ces:
oS udy epo : Con ex ualises he da ase and i is e e enced in he me ada a. The s udy
epo can be sea ched in ull ex on he sea ch po al
oQuan i a i e da a: Qualise ice coope a es wi h GESIS o join ly p esen mixed-me hods
s udies e e encing he espec i e p ojec pa ia DOI in he me ada a so ha he s udy
con ex emains isible.
Da ase me ada a
Pa 4 – Me ada a
Da ase me ada a
Pa 4 – Me ada a
FAIR Me ada a:
•Use o con olled ocabula ies o in e ope abili y
•P o enance, license in o ma ion, and
•Mic ome ada a p o iding mo e g anula in o ma ion a he da a objec le el o
eusabili y
Da ase me ada a
Pa 4 – Me ada a
•Non-sensi i e in o ma ion abou he case i sel (e.g. socio-demog aphic da a),
•Technical in o ma ion on he da a objec and he e en (du a ion o he in e iew, ile o ma ,
loca ion o he in e iew e c.),
•Allow an o e iew o he en i e da a se a his le el o de ail,
•Impo an o assessing he da a i o selec ing sui able in e iews (as a da a se can con ain a
la ge numbe o in e iews (o e 100 o mo e)
Mic ome ada a a Qualise ice
Pa 4 – Me ada a
Mic ome ada a a Qualise ice
Pa 4 – Me ada a
Mic ome ada a a Qualise ice
Pa 4 – Me ada a
