1
D1.3 Da a
Managemen Plan
V0.3
G an ag eemen : No. 101069689
F om: F aunho e ISE
P epa ed by: Sebas ian Helmling
Da e: 31/03/2023
2
TABLE OF CONTENTS
TABLE OF CONTENTS .................................................................................................................................................................... 2
ABBREVIATIONS .................................................................................................................................................................................. 3
LIST OF FIGURES ................................................................................................................................................................................. 4
VERSIONS................................................................................................................................................................................................. 4
1. INTRODUCTION ............................................................................................................................................................................... 5
1.1 Objec i e o he deli e able ...................................................................................................................................... 5
1.3 Con ibu ion o pa ne s .................................................................................................................................................... 5
1.4 Rela ion wi h o he ac i i ies in he p ojec .......................................................................................................... 6
1.5 The FAIR da a managemen p inciples .................................................................................................................. 6
1.6 in o ma ion exchange pla o m ................................................................................................................................... 7
1.7 p o ec ion o pe sonal da a ............................................................................................................................................ 8
1.9 public deli e ables ................................................................................................................................................................. 8
2. Moni o ing .......................................................................................................................................................................................... 8
2.1 de ini ion o sys em bounda ies ................................................................................................................................... 8
2.2 Da a collec ion ........................................................................................................................................................................ 9
3. Da a S o age and P ocessing Pla o ms ....................................................................................................................... 9
3.1. Locally a demons a ion Si es ........................................................................................................................ 10
3.2. Cloud In eg a ion o da a se s ......................................................................................................................... 10
3.2.1. IoT-Pla o m ................................................................................................................................................................. 10
3.2.2. Backup s a egy ........................................................................................................................................................... 11
3.2.3. Time Se ies S o age ................................................................................................................................................. 11
3.2.4. Me a da a ........................................................................................................................................................................ 11
3.2.5. Da a s o age P o ec ion ....................................................................................................................................... 12
3.2.6. Da a access o measu emen da a and de i ed da a ................................................................. 13
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3.2.7. Da a Des uc ion ........................................................................................................................................................ 14
4. Da a P o ec ion Impac Assessmen ............................................................................................................................. 14
4.1 Risks ................................................................................................................................................................................................ 14
4.2 Measu es o educe he isks ...................................................................................................................................... 15
5. Lis o e e ences ......................................................................................................................................................................... 16
ABBREVIATIONS
ACL
Access Con ol Lis
DPIA
Da a P o ec ion Impac Assessmen
GDPR
Gene al Da a P o ec ion Regula ion
HUT
Hea Upg ade Technology
IoT
In e ne o Things
IPR
In ellec ual P ope y
WP
Wo k Package
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LIST OF FIGURES
Figu e 1: mondas IoT Pla o m .................................................................................................................................................... 11
Figu e 2: me a da a managemen ool ............................................................................................................................. 12
VERSIONS
No.
Name
Pa ne
Con ibu ion
Da e
0.1
Sebas ian Helmling
F aunho e ISE
Fi s comple e d a
17/02/2023
0.2
Sebas ian Helmling
ALL
Checked by he pa ne s
08/03/2023
0.3
Sebas ian Helmling
F aunho e ISE
Final upda e
31/03/2023
5
1. INTRODUCTION
1.1 Objec i e o he
deli e able
The main objec i e o he deli e able is o p o ide a da a managemen plan o he
measu emen da a which is collec ed and he de i ed da a which a e gene a ed wi hin he
PUSH2HEAT p ojec .
The Da a Managemen Plan is he cen al documen desc ibing he li e cycle o he da a
om collec ion o a chi ing, including all measu es o ensu e ha he da a emains a ailable,
usable, and comp ehensible (unde s andable).
Du ing he p ojec measu emen da a om he hea upg ade echnologies (HUT) will be
ga he ed a he h ee/ ou demons a ion si es. This equi es he ins alla ion o senso s and
da a acquisi ion sys ems on si e. Fu he mo e, addi ional da a sou ces such as he con olle s
o he hea upg ade de ices and he p ocess au oma ion o he plan s hos ing he hea
upg ade echnologies mus be connec ed.
This equi es he ga he ing, ex ac ion, p ocessing, s o age and managemen o da a se s
coming om he PUSH2HEAT demons a ion si es. This documen speci ies he da a
managemen plan ha will be employed by he PUSH2HEAT p ojec o ensu e ha all
ele an da a managemen policies a e adhe ed o and o ensu e ha eliable da a can be
ex ac ed and used o he PUSH2HEAT p ojec de elopmen .
This documen is being de eloped in acco dance wi h he H2020 Guidelines on Da a
Managemen [1].
This documen is deli e ed in Mon h 6 o he p ojec . I will be upda ed e e y 12 mon hs and
whene e i becomes necessa y e.g. because o he in eg a ion o new da a se s.
1.3 Con ibu ion o pa ne s
The ask T1.3 in WP1 is led by F aunho e ISE and pa icipa ed by he WP Leade s, i.e.
TECNALIA, FRAUNHOFER, POLIMI, OST and EHPA.
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Since all p ojec pa ne s ha e an in e ac ion wi h he measu emen da a, hei inpu o his
documen is necessa y.
1.4 Rela ion wi h o he
ac i i ies in he p ojec
The da a managemen plan will se he basis o he in e ac ion wi h measu ed and de i ed
da a in he p ojec . I de ines he ules o he in e ac ion o he s akeholde s o he p ojec .
The ollowing asks ha e a ela ion o ha da a and a e he e o e ela ed o his deli e able.:
- T3.5. Commissioning and i s pe o mance es s
- T3.6. Assessmen o commissioned demons a ion sys ems.
- T4.1. Moni o ing plan
- T4.2. Moni o ing sys em in eg a ion and alida ion
- T4.3. Moni o ing, pe o mance da a analysis
- T5.2. Replica ion s udies
- T5.3. Li e cycle en i onmen al and cos assessmen (LCA/LCC)
- T6.3. Communica ion and dissemina ion ac i a ion: c ea ing impac and expanding
ou each.
1.5 The FAIR da a
managemen p inciples
The FAIR (Findable, Accessible, In e ope able, and Reusable) da a managemen p inciples
p o ide a amewo k o making esea ch da a mo e accessible and eusable. The p inciples
a e designed o ensu e ha da a a e a ailable o euse and ha hey a e o high quali y,
eusable, and eliable. The Ho izon Eu ope open access manda e aims o p omo e open
access o scien i ic publica ions and esea ch da a, and i aligns wi h he FAIR da a
managemen p inciples. He e's a s ep-by-s ep b eakdown o how PUSH2HEAT mee s he
FAIR da a managemen p inciples [2].
1. Findable: The i s p inciple o FAIR da a managemen is ha da a should be indable.
This means ha da a should be easily disco e able and accessible.
To mee his p inciple, he Push2Hea esea ch da a will be deposi ed and indexed In
he OpenAIRE [3] in as uc u e.
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2. Accessible: The second p inciple o FAIR da a managemen is ha da a should be
accessible. This means ha da a should be a ailable o euse wi hou any legal,
echnical, o inancial ba ie s. To achie e his goal, an a emp is made o make he
Push2Hea esul s a ailable i no ade sec e s o pe sonal igh s a e iola ed by doing
so.
3. In e ope able: The hi d p inciple o FAIR da a managemen is ha da a should be
in e ope able. This means ha da a should be s uc u ed in a way ha allows i o be
easily in eg a ed wi h o he da a sou ces. To mee his p inciple, PUSH2HEAT uses a
s anda dized da a o ma and a me ada a schema.
4. Reusable: The ou h p inciple o FAIR da a managemen is ha da a should be
eusable. This means ha da a should be o high quali y and sui able o euse in
di e en con ex s. To mee his p inciple, PUSH2HEAT p o ides he documen a ion o
he me ada a ha desc ibes esea ch da a.
1.6 in o ma ion exchange
pla o m
Push2Hea uses he Mic oso 365 Sha ePoin o manage all he documen s in he p ojec .
Mic oso 365 Sha ePoin is a cloud-based pla o m ha allows he PUSH2HEAT pa ne s o
collabo a e and sha e iles and esou ces. I is pa o he Mic oso 365 sui e o applica ions
and p o ides a ange o ools o c ea ing, managing, and sha ing con en , including
documen s, images, and ideos. Sha ePoin is used o manage hei PUSH2HEAT wo k lows
and con en in a cen alized and secu e way.
Sha ePoin p o ides powe ul sea ch capabili ies, allowing PUSH2HEAT pa ne s o quickly
ind he con en hey need. In addi ion, i includes e sion con ol and audi ing ea u es, which
help ensu e ha con en is always up- o-da e and ha changes a e acked.
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1.7 p o ec ion o pe sonal
da a
E-mail add esses and phone numbe s o he PUSH2HEAT pa ne s a e pe sonal in o ma ion
and co e ed by he GDPR [4].
All he con ac da a o he PUSH2HEAT pa ne s is s o ed in he Push2Hea Mic oso 365
Sha ePoin which is passwo d p o ec ed. This ensu es ha only au ho ized PUSH2HEAT
pa ne s ha e access o his da a. I is no pe mi ed o sha e his da a wi hou he pe mi o
he espec i e pa ne .
1.9 public deli e ables
The deli e ables which a e gene a ed wi hin he PUSH2HEAT will be accessible o he
scien i ic and echnological communi y, i no ma ke sensi i e. All he p ojec pape s will be
published in ull open access jou nals, as Open Resea ch Eu ope, and s o ed in eposi o ies
ha a e accessible h ough he EC se ice OpenAIRE [2] and Google sea ches. Fu he mo e,
he publica ions will be s o ed in he ZENODO [5] eposi o y.
2. Moni o ing
The hea upg ade sys ems will be examined unde eal ope a ing condi ions. Bo h an ene gy
e alua ion and an in es iga ion o he ope a ing beha iou a e o be ca ied ou . Fo his
pu pose, he sys ems a e es ed wi hin he amewo k o a me ological examina ion.
2.1 de ini ion o sys em
bounda ies
In o de o be able o e alua e he sys ems based on uni o m c i e ia, bounda y condi ions
mus be de ined. These bounda ies apply o all h ee/ ou si es in he same manne . Fi s , he
ollowing h ee amewo k condi ions a e de ined o he e alua ion o he sys ems:
9
1. Hea upg ade echnology (HUT) only. Pu pose: calcula e and moni o he
pe o mance o he machine unde di e en ope a ing condi ions.
2. HUT + hea sou ce ci cui s and hea sink ci cui s o e alua ing he impac o he
auxilia ies o he ex e nal ci cui s on he pe o mances.
3. En i e ene gy sys em including o he gene a o s. Pu pose: e alua e he absolu e and
ela i e impac o he HUT on he o e all sys em ( uel sa ings, addi ional elec ical
consump ion, bo h in speci ic and absolu e e ms).
2.2 Da a collec ion
Fo e alua ing he pe o mance o he PUSH2HEAT echnologies da a mus be collec ed. This
da a will be ga he ed om h ee main da a sou ces:
Senso s, hea me e s. elec ici y me e s, e c. measu ing he physical s a e a iables
among he hea upg ade de ices. These senso s a e connec ed o a local da a
acquisi ion sys em.
Con olle o he hea upg ade de ice: The con olle connec s senso s whose
measu ed alues a e o in e es o he e alua ion o he PUSH2HEAT sys em. These
da a se s a e ei he ans e ed o he da a acquisi ion sys em ia an app op ia e
p o ocol o sen o he F aunho e ISE se e ia an app op ia e p o ocol.
P oduc ion au oma ion sys em: The p ocess au oma ion con ol sys em collec s da a
ha is o in e es o e alua ing he amewo k condi ions o he echnology. These
da a se s a e ei he ans e ed o he da a acquisi ion sys em ia an app op ia e
p o ocol o sen o he F aunho e ISE se e ia an app op ia e p o ocol.
3. Da a S o age and P ocessing
Pla o ms
The da a collec ed as pa o he PUSH2HEAT p ojec may be s o ed, main ained, and
p ocessed a se e al di e en poin s depending i s ly on he na u e o he da a and
secondly he p o ision o his da a o access o o he PUSH2HEAT ools. The emaining o
his sec ion p o ides an ou line o each op ion ha has been de ined.
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5. Lis o e e ences
[1]
h p://ec.eu opa.eu/ esea ch/pa icipan s/da a/ e /h2020/g an s_manual/hi/oa_pilo /h2020-
hi-oa-da a-mg _en.pd
[2]
h ps://www.openai e.eu/how- o-comply-wi h-ho izon-eu ope-manda e- o -publica ions
[3]
h ps://p o ide.openai e.eu/home
[4]
h ps://gdp .eu/
[5]
h ps://zenodo.o g/
