A i s p o o ype o a new eposi o y o ea u e model exchange
and knowledge sha ing
Da id Rome o, José Á. Galindo, Jose-Miguel Ho cas and Da id Bena ides
Uni e si y o Se ille
Se ille, Spain
{d o gan idez,jagalindo,jho cas,bena ides}@us.es
ABSTRACT
Fea u e models a e he “de ac o” s anda d o a iabili y modelling
and a e used in bo h academia and indus y. The MODEVAR ini ia-
i e ies o es ablish a common ex ual ea u e modelling language
ha can be used by di e en communi ies and can allow in o ma-
ion sha ing. Fea u e model ela ed esea ches use di e en models
o di e en pu poses such as analysis, sampling, es ing, debug-
ging, eaching, e c. Those models a e sha ed in p i a e eposi o ies
and he e is a isk ha all ha knowledge is sp ead ac oss di e en
pla o ms which hinde collabo a ion and knowledge euse. In his
pape , we p opose a i s wo king e sion o a new ea u e model
eposi o y ha allows o cen alise he knowledge gene a ed in
he communi y oge he wi h ad anced capabili ies such as DOI
gene a ion, an API, analysis epo s, among o he s. Ou solu ion
is a on end in e ace ha uses he popula open science epos-
i o y Zenodo as an end poin o ma e ialise he s o age o all he
in o ma ion. Zenodo is enhanced wi h cha ac e is ics ha acili a e
he managemen o he models. The idea o ou eposi o y is o
p o ide exis ing bu also new ea u es ha a e no p esen in o he
eposi o ies (e.g., SPLOT). We p opose o popula e ou eposi o y
wi h all he exis ing models o many sou ces including SPLOT.
CCS CONCEPTS
•So wa e and i s enginee ing → So wa e p oduc lines
; Re-
qui emen s analysis; So wa e design enginee ing; So wa e imple-
men a ion planning;␣
KEYWORDS
ea u e model eposi o y,
cha ac e is ics, a iabili y,
equi emen s
1 INTRODUCTION
Fea u e models a e he “de ac o” s anda d o a iabili y modelling
and a e used in bo h academia and indus y. Fea u e models we e
in oduced in he FODA (Fea u e-O ien ed Domain Analysis) ech-
nical epo [
20
] in 1990, by he So wa e Enginee ing Ins i u e.
Nowadays, ea u e model pu poses anges be ween mul iple ac i i-
ies such as analysis [
7
], sampling [
18
], es ing [
19
], debugging [
15
],
and eaching [21], among o he s.
Cu en ly, ea u e model esea che s sha e hei models among
hei so wa e a e ac s o imp o e esul s’ eplicabili y and i
open-science s anda ds [
4
]. Howe e , hose models a e o en sha ed
in p i a e eposi o ies and a e commonly sp ead ac oss di e en
pla o ms, as o example, Gi Hub. Despi e some ea u e models
eposi o ies exis such as SPLOT [
14
], ESPLA [
13
], o LVAT
1
, hey
p esen se e al d awbacks. Fi s , he e is no common empla e o
so wa e APIs o access he eposi o ies, making di icul o sea ch
o , ob ain me ics, download, o e en au oma e he analyses o
he ea u e models. Fo example, SPLOT does no p o ide a REST
API se ice o consume he knowledge p o ided. In addi ion, he
c ea ion, uploading and subsequen main enance o ea u e mod-
els a e igid and wi h limi ed in e ac ion. Second, he e is limi ed
knowledge sha ing. Conc e ely, since he e is no common o gani-
sa ional s uc u e no s anda d guidelines o he uploaded ea u e
models, i is di icul o sha e knowledge in he communi y. To
add ess his issue, he MODEVAR [
1
] ini ia i e ies o es ablish a
common ex ual ea u e modelling language ha can be used by
di e en communi ies and enables in e ope abili y. Howe e , he e
is a lack o sha ing mechanisms o such ea u e modelling lan-
guage. Finally, exis ing eposi o ies a e ou da ed e y soon because
o hei echnical deb [
9
]. Technology used o he c ea ion o such
eposi o ies has been discon inued and has no been adap ed o
he echnological equi emen s ha use s demand nowadays, such
as a esponsi e-web design [
10
], secu e h p p o ocol (h ps), o
use load balancing among o he mode n ea u es. Ul ima ely, a
new eposi o y can be en isioned i he communi y wan s o easily
sha e knowledge in he ollowing yea s.
To ease o hose limi a ions, we ha e designed FMRepo, a i s
p o o ype o a new eposi o y o ea u e model exchange and
knowledge sha ing. FMRepo aims o in eg a e bo h he common
a iabili y language and ea u e model analysis capabili ies ha a e
in consonance wi h o he MODEVAR ini ia i es, such as he p o-
posed uni e sal a iabili y language (UVL) [
1
], and he amewo k
o au oma ed analysis o ea u e models (AAFM) [
6
], as well as
adhe ing o open science p inciples [
16
]. The main mo i a ion o
building up a new eposi o y is o sha e ea u e modelling ela ed
1h ps://gsd.uwa e loo.ca/ ea u e-models-in- he-wild.h ml
SPLC ’21, Sep embe 6–11, 2021, Leices e , Uni ed Kingdom Da id Rome o e al
a e ac s and enable he ep oducibili y o expe imen s wi h ea u e
models. Howe e , he e a e o he ac o s ha p omo e he c ea ion
o such eposi o y:
Mee open science s anda ds.
The e a e nume ous guidelines
wi hin he amewo k o Open Science: Open Access, Open
Da a, Open Rep oducible Sea ch, Open Science E alua ion,
Open Science Policies and Open Science Tools [
4
], o name a
ew, a e pa o he undamen al pilla s. Ou eposi o y ies
o co e all he minimum equi emen s o be classi ied in
his axonomy and o collabo a e in he communi y.
Teaching and educa ion.
Knowledge sha ing o ea u e mod-
els allows he signi ican educ ion o a ious academic s ud-
ies in ela ion o his echnology. Building he eposi o y
wi hin he scope o ee and un es ic ed access can p omo e
he use o educa ional and ins uc ional con en .
Knowledge agg ega ion.
This eposi o y ies o b ing o-
ge he he dispe sed knowledge ha exis s abou ea u e
models gene a ed in a knowledge base ha se es as suppo
o a mo e in-dep h and ex ensi e s udy o his echnology,
sa ing ime and e o .
In his pape , we p esen he design and implemen a ion o FM-
Repo o ul il new demands o esea che s and de elope s. This
is a i s wo king e sion o a new ea u e model eposi o y ha
allows o cen alise he knowledge gene a ed in he communi y
oge he wi h ad anced capabili ies ha do no exis in o he epos-
i o ies such as SPLOT [
14
] o he ESPLA ca alog [
13
]. The main
con ibu ions o FMRepo a e:
•
In eg a ion o Open Science echnologies. FMRepo has been
buil on op o open-science echnologies suppo ed by he
Eu opean Resea ch Council [
11
]. To g an access o uploaded
models in he u u e o he sake o eplicabili y.
•
As pa o he Open Science echnologies, FMRepo p o ides
DOI gene a ion o ea u e models h ough he Zenodo epos-
i o y [
16
]. The gene a ion o DOI can be in e es ing o he
wo k o esea ch a icles. Resea che s can upload hei mod-
els o FMRepo and di ec ly ob ain a uni e sal iden i ie o be
able o in eg a e i in o hei academic wo k. This educes
he ime and complexi y o gene a ing new knowledge using
a single ool.
•
An REST API ha allows a se ies o ad an ages o enable he
use o FMRepo as a base sys em in u u e p ojec s, p o iding
au oma ic access o he ea u e models.
•
In eg a ion wi h ea u e model analysis echnologies as a
se ice. This enables esea che s and de elope s o consume
he exis ing models wi hin he eposi o y and alida e hei
esea ch.
•
Popula ion o FMRepo wi h eal-wo ld and academic ea u e
models om many sou ces, including exis ing eposi o ies
(e.g., SPLOT).
The emainde o his pape is o ganised as ollows: Sec ion 2
desc ibes he necessa y concep s o he echnologies men ioned in
his pape ; Sec ion 3 lis s he cha ac e is ics and needs ha we co e
wi h he unc ionali ies implemen ed in he eposi o y; Sec ion 4,
make a gene al summa y o he main modules ha make up he
a chi ec u e and he eason o i s p esence; Sec ion 5, de ails he
main p oblems o he modules and he solu ion we ha e gi en;
and Sec ion 6 whe e we explain he eal eason o c ea ing his
eposi o y and why i would be con enien o he communi y o
ge in ol ed.
2 OPEN SCIENCE
Open Science [
16
] is a mo emen p omo ed by he OECD
2
coun ies
and p omo ed by he Eu opean Commission. I ad oca es ee access
by ci izens o he esul s o scien i ic esea ch, da a, esou ces,
esul s, hough s, as well as ha he esul s and disco e ies o
scien i ic esea ch a e uni e sally accessible and un es ic ed. Some
o he exis en e o s o suppo open science a e he Eu opean
OpenAIRE
3
p ojec and he In enio
4
amewo k o build open-
science eposi o ies. In enio is an open sou ce p ojec by CERN ha
co e s a eposi o y/documen managemen pla o m (In enioRDM),
an in eg a ed lib a y sys em (In enioILS) and a code lib a y o
build la ge-scale in o ma ion sys ems (such as In enioRDM and
In enioILS).
FMRepo p omo es he open-science s anda ds h ough he use
o Zenodo. Zenodo
5
is an Open Science eposi o y ha has been
de eloped on op o he In enio amewo k which p o ides pe sis-
ence o he da a uploaded as well as o e s a DOI (Digi al Objec
Iden i ie ) o enable easy ci a ion o da a. Zenodo also wo ks as a
backup o all he da a uploaded.
3 REPOSITORY CHARACTERISTICS
In p e ious wo k [
5
], we de ined 12 cha ac e is ics ha a ea u e
model eposi o y should ha e. Those cha ac e is ics we e de ined
obse ing exis ing eposi o ies and we e p esen ed as use s o ies
ollowing he empla e o o “As a [pe sona], I [wan o], [so ha ].”. In
his sec ion, we de ail how FMRepo add esses hose cha ac e is ics
and discuss he limi a ions o exis ing eposi o ies like SPLOT.
(1)
As a esea che , I wan o upload models o he eposi o y, so
ha my models a e a ailable o o he s. This is one o he mos
basic cha ac e is ics, howe e , exis ing eposi o ies do no
p o ide simple uploading o models and complica e his op-
e a ion. Fo ins ance, while SPLOT equi es o upload models
wi hin a URL based on non-secu e h p, ESPLA equi es o
c ea e an issue o a pull eques in Gi Hub, in o de o upload
he ea u e model. FMRepo allows uploading ea u e models
h ough a simple web o m.
(2)
As a esea che , I wan o syn ax check my models be o e
uploading in he eposi o y, so ha my models a e syn ax e -
o ee. FMRepo will p o ide suppo o se e al languages
and no a ions, including p incipally he uni e sal a iabil-
i y modelling language p omo ed by he MODEVAR ini ia-
i e [1].
(3)
As a esea che o use , I wan o download models om he
eposi o y, so ha I can eplica e expe imen s o use exis ing
models. The way models a e downloaded could a y om
one by only ba ch downloads. Fo ins ance, SPLOT suppo s
downloads one by one, o cing esea che s o pe o m ha d-
manual ask o o build cus om sc apping sc ip s o download
2h ps://www.oecd.o g/
3h ps://www.openai e.eu/
4h ps://in enioso wa e.o g/
5h ps://zenodo.o g/
all models a once. FMRepo will p o ide suppo o lexible
downloading o models, om indi idual models o se o
models.
(4)
As a esea che , I wan o gene a e a uni e sal iden i ie o
my models in he eposi o y, so ha my models a e ci able and
easily iden i ied. This cha ac e is ic is a new con ibu ion o
FMRepo which p o ides DOI gene a ion hanks o Zenodo.
The DOI is speci ic o a ea u e model so ha i can be
in eg a ed in o he esea ch pape s.
(5)
As a esea che o use , I wan o manage e sions o my models,
so ha I can compa e di e en e sions. Exis ing eposi o ies
s o e di e en e sions o he ea u e models as independen
(new upload) iles. While his cha ac e is ic could make he
eposi o y mo e complex o main ain, ou objec i e is o
p o ide e sion con ol in FMRepo.
(6)
As a use , I wan o sea ch o models in he eposi o y, so ha
I can ind he models I am in e es ed in. Only ESPLA allows
sea ching i s ca alog using ags. In ac , he in o ma ion
is s o ed in a .cs ile. In con as , ou FMRepo p o ides
di e en sea ch ypes based on ag, me ada a (e.g., au ho s)
o e en me ics (e.g., size o he ea u e model).
(7)
As a use , I wan o display models in he eposi o y, so ha
I can ha e a glance a he model in he case I wan o use i .
Exis ing eposi o ies like SPLOT displays he model as a ee
isualisa ion along wi h a e y limi ed numbe o me ics.
The ESPLA ca alog does no p o ide any isualisa ion o
he models. Ou p oposal, in addi ion o displaying a ea u e
model h ough a g aphical o ex ual isualisa ion, also p o-
ides insigh on ea u e model me ics so ha use s can ha e
a quick cha ac e isa ion o he model be o e using.
(8)
As a use o esea che , I wan o know some indica o s abou
he models in he eposi o y such as a ings o numbe o
downloads, so ha I can compa e models. FMRepo s o es his
in o ma ion as a me ada a o he ea u e model. O he eposi-
o ies like SPLOT do no p o ide me ada a in o ma ion such
as how many imes a model has been downloaded o a ed.
(9)
As a de elope o esea che , I wan o ha e an API ha can
in e ac wi h he eposi o y, so ha I can p og amma ically
access eposi o y’s in o ma ion. The con en s o FMRepo can
be accessed p og ama ically in he o m o an API. This
allows a de elope o call a me hod o download some models
wi h some cha ac e is ics o example a gi en numbe o
ea u es.
(10)
As a use , I wan o ha e ecommenda ions acco ding o my
p o ile, so ha I can do be e model selec ions. Since FMRepo
s o es me ics o he models acco ding o downloads o use
a ings, a ecommenda ion sys em based on use p o iles
and a ings can be de eloped o be e selec models using
he p e ious in o ma ion s o ed in Zenodo. Howe e , his
seems o be a mo e long e m ea u e o be conside ed.
(11)
As a esea che , I wan o c ea e communi ies, so ha I can
ha e a common space o manage my models. The unde lying
Zenodo sys em o FMRepo allows managing mul iple use s
which can be g ouped a ound a esea ch g oup, uni e si y o
communi y. Howe e , his cha ac e is ic has been discussed
also in dep h among he au ho s and no consensus has been
al eady eached.
(12)
As a use , I wan o see model’s me ics, so ha I can ha e
ex a in o ma ion abou he models. The in eg a ion o ea-
u e model analysis echnologies as a se ice wi hin FMRepo
allows p o iding implici in o ma ion o ea u e models such
as he numbe o ea u es, he numbe o ela ionships, s uc-
u al me ics [
2
], o o he analysis ope a ions (e.g., dead
ea u es, numbe o con igu a ions,...) [3].
4 ARCHITECTURE OVERVIEW
This sec ion p esen s he a chi ec u e o FMRepo as well as he
unde line echnology o p o ide suppo o knowledge sha ing
and ea u e models exchange. Figu e 1 shows an o e iew o he
a chi ec u e di ided in wo main pa s: he in e ace ( op o Figu e 1)
and he h ee main modules (bo om o Figu e 1).
Figu e 1: FMRepo a chi ec u e.
4.1 FMRepo in e ace
The in e ace and communica ion be ween he di e en compo-
nen s and he use ha e been de eloped using he
La a el amewo k
.
La a el
6
is a PHP amewo k based on he MVC [
12
] a chi ec u e.
I p o ides a ious con enience u ili ies such as a empla e engine,
a dependency manage o PHP o include hi d-pa y lib a ies in
you own p ojec and a command in e ace p og am ha allows
you o c ea e p ede ined so wa e a e ac s. This allows he epos-
i o y o be ins an ia ed on any web se e wi h a minimum o
con igu a ion.
La a el
se es as he en y poin o he web applica ion and
he REST API consump ion managing bo h modules equally bu
independen ly so hey can be used sepa a ely. Also, La a el allows
us o modula ize [
8
] new unc ionali y wi hou needing o e ac o
code.
FM web applica ion.
To in e ac wi h eposi o y ools, we
p o ide a web in e ace making he sys em mo e accessible
wi hou elying on a command in e ace. In addi ion, he
on end allows se e al echnologies o be b ough oge he
h ough a con ol panel common o all use s. Figu e 2 illus-
a es he web in e ace wi h a lis o models uploaded o he
eposi o y, main aining synch onici y wi h Zenodo. Fea u e
models a e uploaded using a web o m as shown in Figu e 3.
6h ps://la a el.com/
Figu e 2: Lis ing o models in FMRepo.
Figu e 3: Uploading model in FMRepo.
FM REST API.
FMRepo has a REST ul se ice o p o ide di -
e en ope a ions such as consul ing a ea u e model, upda -
ing an associa ed ile, o epo ing me ics. The use ulness
o his module is o p o ide access and de elopmen o new
ools c ea ed in he So wa e P oduc Line amewo k. The
eposi o y REST API is e sioned, which allows o inc ease
i s unc ionali y wi h new ea u es ha will be included in
he sys em in he u u e.
4.2 FMRepo modules
This sec ion p esen s he h ee main modules o he a chi ec u e: he
Open Science module; he Au oma ed Analysis o Fea u e Models
(AAFM) module, and he Da abase module.
4.2.1 Open Science using Zenodo API. To acili a e he in eg a-
ion o he
Zenodo API
wi h he eposi o y, we ha e designed an
API w appe
. The
API w appe
is a so wa e a e ac ha wo ks
as an in e ace o abs ac he implemen a ion de ails o he se ice,
in his case, he
Zenodo API
. This allows he API o be used as
i i was an in e nal eposi o y se ice. The
Zenodo API
can be
ex ended o o he APIs o include mo e Open Science p ojec s.
4.2.2 Au oma ed Analysis o Fea u e Models (AAFM). Mos epos-
i o ies wo k only as s a ic s o age. We ha e designed he a chi ec-
u e so ha ea u e models a e pos -p ocessed hanks o an in e nal
connec ion wi h a
Docke ins ance
. The AAFM is unning on his
machine, which ecei es he use ’s ea u e models and pe o ms
a ious analysis ope a ions o ex ac s me ics.
Ins ead o using jus one machine, we ha e decided o epli-
ca e he AAFM module on mul iple machines. The e o e, a
Load
Balance
dis ibu es he wo k in N ins ances o alle ia e he wo k-
load. The pu pose o his module is no only o wo k wi h Docke
and AAFM machines unning on hem, bu u u e ea u e model
p ocessing echnologies, such as benchma king, can be in eg a ed.
The
Se ice Poin
is in cha ge o p o iding suppo o in eg a -
ing new so wa e ha can un in pa allel.
4.2.3 S o age and da abase. The main s o age is delega ed o
he
Zenodo sys em
. To a oid o e -consuming he API, all ea u e
models a e s o ed locally once Zenodo has e u ned a posi i e
esponse o he upload. The a chi ec u e suppo s di e en ypes
o da abases. La a el has an objec - ela ional mapping capable
o swi ching be ween di e en
da abase echnologys
. We ake
ad an age o his ea u e o demand di e en se ices. Fo example,
he me ada a in o ma ion is s o ed in a non-SQL da abase, in ou
case MongoDB, due o he non- ela ional na u e o his in o ma ion.
Howe e , he di e en in e nal ansac ions, such as he upload o
ea u e models o he esul s gene a ed om he AAFM a e s o ed
in a SQL da abase.
5 IMPLEMENTATION DETAILS
In his sec ion, we b ie ly desc ibe he implemen a ion de ails o
he di e en modules o he FMRepo a chi ec u e.
5.1 Zenodo as abs ac ion laye
The o iginal way o wo king wi h Zenodo is h ough a deposi ion.
A deposi ion is made up o a se ies o me ada a and a achmen s. To
acili a e he implemen a ion o Zenodo in he use o FMRepo, we
ha e decided place i as an abs ac ion laye . The impo an hing
abou deposi ion is ha hey gene a e a unique and pe manen DOI.
Fo p ac ical pu poses, all ea u e models o a use a e uploaded o
he same Zenodo accoun o g oup hem o la e usage.
FMRepo communica es wi h Zenodo by using i s REST API,
which allows he comsump ion o deposi ions and hei a achmen s.
Some o he end poin s ha we ha e de ined o consume he Zenodo
API a e:
•
GET /api/deposi /deposi ions. Lis all deposi ions o he cu -
en ly au hen ica ed use .
•
GET /api/deposi /deposi ions/:id/ iles. Lis all deposi ion iles
o a gi en deposi ion.
•
POST /api/deposi /deposi ions. C ea e a new deposi ion e-
sou ce.
•POST /api/deposi /deposi ions/:id/ iles. Upload a new ile.
•
POST /api/deposi /deposi ions/:id/ac ions/publish. Publish a
deposi ion.
Howe e , he Zenodo REST API needs au hen ica ion o be used.
To simpli y use expe ience, FMRepo has an in e nal oken s o e
ha is au oma ically used o a oid excessi e consump ion o . Zen-
odo REST API.
5.2 Running FM analysis
Ano he u ili y p o ided by FMRepo is he possibili y o analysing
ea u e models uploaded di ec ly om he web applica ion. This
comple ely elimina es he need o ins all AAFM so wa e on he
use ’s machine. Cu en ly we a e elying on he Py hon amewo k
o au oma ed analysis [
6
] p esen ed in MODEVAR [
1
]. The AAFM
ool uns in pa allel on a machine ins an ia ed by Docke
7
o
secu i y easons [
17
]. We ha e decided o ely on a Docke ins ance
o a oid he execu ion o malicious code. This ins ance is capable
o analysing ea u e models om a ious web clien s, allowing
FMRepo o be unning on se e al se e s and inc easing he demand
o esou ces. FMRepo ac s as an in e media y be ween he Docke
machine and he uploaded ea u e models so ha end use s ne e
ha e access o he in e nal se e s.
We ha e also designed a load balance ha allows ha ing mul-
iple ins ances o Docke unning. Using a p io i y algo i hm, he
eposi o y decides which ins ance has he lowes wo kload and
chooses a candida e h oughou he execu ion cycle.
To execu e any analysis o e a ea u e model, mos AAFM ools
equi e access o iles in a ce ain manne . To sol e his, FMRepo
p omo es he use o he same hie a chical ile s uc u e o each
upload ha a e willing o p o ide AAFM suppo . This, also gi es
us he possibili y o add me ada a o ele an in o ma ion. Then a
packaging p ocess is ca ied ou ollowing his s uc u e:
•
The
/model
di ec o y s o es he o iginal ile in XML (o
simila ) o ma o he ea u e model.
•
The
/me ada a
di ec o y s o es he o iginal ile in JSON (o
simila ) o ma o he ea u e model me ada a.
•
The
ea u e.json
ile (op ional) desc ibes he ea u e model
using he isual edi o o he g aphical in e ace ins ead o
uploading an XML ile.
5.3 FMRepo API
To allow u u e expansions o he sys em, we implemen ed an REST
API. FMRepo wo ks as a REST ul se ice o he main unc ionali ies.
When a use logs in as a de elope , he sys em p o ides hem wi h
a unique access oken. This oken allows consuming he API. Ou
API is e sioned and he documen a ion can be consul ed.
We we e inspi ed by he s uc u e o Zenodo, acili a ing hus,
he usage o he pla o m o use s ha had p e iously wo ked wi h
i . The main ac ions ha can be pe o med wi h he API a e:
•
GET /api/ 1/models. Lis all models o he cu en ly au hen-
ica ed use .
•
GET /api/ 1/models/:model/ iles. Lis all iles o a gi en model.
•
GET /api/ 1/models/:model/s uc u e. Re ie es he o iginal
s uc u e o he uploaded model and i s me ada a.
•POST /api/ 1/models. C ea e a new ea u e model.
6 CONCLUSION AND VISION
We belie e ha FMRepo is a s a ing poin o c ea e a mo e ac i e
communi y in he exchange o knowledge. This new eposi o y is
mo e aligned wi h cu en so wa e echnologies and in line wi h
he MODEVAR ini ia i es. FMRepo also in eg a es au oma ed anal-
ysis being able o use he echnology ha uns in he backg ound
7h ps://www.docke .com/
and encou aging i s use i mo e ad anced ope a ions a e desi ed.
The eposi o y a emp s o p omo e he communi y’s use o Open
Science and i s ele ance o esea ch. The a chi ec u e o he epos-
i o y is modula , which will allow o ex end he unc ionali y in a
simple and collabo a i e way in he u u e.
Ou ision o he eposi o y is o p o ide a use ul ool o he
s udy o ea u e models in e ms o me a-managemen , analysis
and sha ing. We appeal o all esea che s and encou age he use
o his eposi o y. We belie e ha communi y suppo will a ou
he de elopmen , expansion and suppo o u u e cha ac e is ics.
To a oid an ou da ed, abandoned and dep eca ed eposi o y, we
u ge he communi y o upload hei own ea u e models ha co e
all possible scena ios and s udy hei pe o mance as an analysis
ool. We belie e ha his will encou age he use o he eposi o y,
becoming a p oduc buil on he Open Science guidelines.
ACKNOWLEDGEMENTS
This wo k was suppo ed by he P ojec (RTI2018-101204-B-C22, OPHELIA),
unded by: FEDER/Minis y o Science and Inno a ion - S a e Resea ch
Agency; he TASOVA ne wo k (MCIU-AEI TIN2017-90644-REDT); and he
Jun a de Andalucia COPERNICA p ojec ; and he Spanish Go e nmen
unde Juan de la Cie a—Fo mación 2019 g an .
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