The Principles

The spe­ci­fi­ca­ti­on of the IDS Asso­cia­ti­on forms the basis for a data mar­ket­place based on European values, i.e. data pri­va­cy and secu­ri­ty, equal oppor­tu­nities through a fede­r­a­ted design, and ensu­ring data sover­eig­n­ty for the crea­tor of the data and trust among par­ti­ci­pants. It forms the stra­te­gic link bet­ween the crea­ti­on of data in the inter­net of things on the one hand side and the use of this data in machi­ne lear­ning (ML) and arti­fi­ci­al intel­li­gence (AI) algo­rithms on the other hand side.

Digi­tal respon­si­bi­li­ty is evol­ving from a hygie­ne fac­tor to key dif­fe­ren­tia­tor and source of com­pe­ti­ti­ve advan­ta­ge. Future data plat­forms and mar­kets will be built on design princi­ples that go bey­ond our tra­di­tio­nal under­stan­ding of cyber­se­cu­ri­ty and pri­va­cy. Based on strong data ethics princi­ples the IDS Refe­rence Archi­tec­tu­re Model puts the user in its cen­ter to ensu­re trust­wort­hi­ness in eco­sys­tems and sover­eig­n­ty over data in the digi­tal age as its key value pro­po­si­ti­on.

IDSA defi­nes a refe­rence archi­tec­tu­re, which sup­ports sover­eign exchan­ge and sharing of data bet­ween part­ners inde­pen­dent from their size and finan­ci­al power. Thus, it meets the needs of both lar­ge and small and medi­um enter­pri­ses (SMEs). Fur­ther down the road, it may be taken up by indi­vi­du­als as well. Whe­ther data of IoT devices is con­cer­ned, in on-pre­mi­se sys­tems or cloud plat­forms, the IDSA aims at pro­vi­ding the stan­dard for sharing data bet­ween dif­fe­rent end­points while ensu­ring data sover­eig­n­ty.

A trustworthy architecture

In order to give pro­s­pec­ts and poten­ti­al users of the IDS tech­no­lo­gy and eco­sys­tem, we have worked on a com­pre­hen­si­ve over­view, allo­wing to exp­lain the key princi­ples, com­pon­ents, roles, rules of the IDS-based data mar­ket place.

For instan­ce, take a look at the dif­fe­rent roles of tran­sac­tion part­ners: Data Pro­vi­der, Data User, Data Bro­ker, etc.

Then have a glance at the infra­st­ruc­tu­re, con­sis­ting of IDS Con­nec­tors. They are the guar­di­ans of data exchan­ge at any source and point of use. It beco­mes evi­dent that the IDS is not about data lakes, but pro­vi­des a solu­ti­on for dis­tri­bu­t­ed data mar­ket pla­ces, and bet­ween dif­fe­rent, even pro­prie­ta­ry data sphe­res.

The gra­phic also exp­lains the princi­ples of gover­nan­ce and con­trol in the IDS eco­sys­tem, mani­fes­ted by cer­ti­fi­ca­ti­on cri­te­ria for tie­red secu­ri­ty levels, spe­ci­fi­cal­ly appoin­ted eva­lua­ti­on faci­li­ties and cer­ti­fi­ca­ti­on bodies of which the­re are likely to be several on a glo­bal sca­le.

Why don’t you get acquain­ted with this over­view and find your own path through its ele­ments. We are con­vin­ced that it will help you and any inte­rested par­ty you may meet in the future to sum­ma­ri­ze, what the IDS eco­sys­tem is for, and why it’s approach to gran­ting Data Sover­eig­n­ty, inter­ope­ra­bi­li­ty, ease of adop­ti­on and use, and the who­le at low tran­sac­tion cost is so uni­que.

Unleash the value of your data

When broa­de­ning the per­spec­tive from an indi­vi­du­al use case sce­n­a­rio to a plat­form land­s­cape view, the INTERNATIONAL DATA SPACES posi­ti­ons its­elf as an archi­tec­tu­re to link dif­fe­rent cloud plat­forms through secu­re exchan­ge and trusted sharing of data, short: through data sover­eig­n­ty.

1.

Make data avail­ab­le – dyna­mic, on demand
(descri­be, expo­se)

2.

Link with eco­sys­tem part­ners
(con­nect, match, inter­pre­te)

3.

Con­trol the access to your data
(usa­ge con­trol)

4.

Crea­te value
(Apps, remo­te soft­ware exe­cu­ti­on, aggre­ga­ti­on)

A blueprint for data space

The refe­rence archi­tec­tu­re model for the Indus­tri­al Data Space con­sists of four par­ti­al archi­tec­tures. It will pre­sent a blue­print for safe data exchan­ge and the effi­ci­ent com­bi­na­ti­on of data and can be con­fi­gu­red for each indi­vi­du­al case.

Business architecture

Inclu­des all con­cepts that are important from an eco­no­mic per­spec­tive, e.g. data gover­nan­ce, coope­ra­ti­ve data manage­ment.

Data and service architecture

Forms the tech­ni­cal func­tio­n­al core of the Indus­tri­al Data Space with app store, bro­kers and con­nec­tors

Software architecture

Descri­bes the imple­men­ta­ti­on of the data and ser­vice archi­tec­tu­re of the Indus­tri­al Data Space.

Security architecture

Con­tains dif­fe­rent secu­ri­ty aspec­ts, e.g. inter­face secu­ri­ty, evi­dence of iden­ti­ty, data use moni­to­ring.

Self determined control of data flows

Unlimited
Interoperability

stan­dard for data flows bet­ween all kinds of data end­points

Trust between different
security domains

com­pre­hen­si­ve secu­ri­ty func­tions pro­vi­ding a maxi­mum level of trust

Governance for the
data economy

usa­ge con­trol and enforce­ment for data flows

Roles Model

Providing, obtaining and utilising data: The roles model for International Data Spaces guarantees the necessary data security and digital sovereignty – have a look at the interaction overview

New standards for the digital economy

With their work on Inter­na­tio­nal Data Spaces the sci­ence and busi­ness com­mu­nities are pur­suing the objec­tive of set­ting a new com­pre­hen­si­ve stan­dard for data eco­no­my. During the deve­lop­ment of the Inter­na­tio­nal Data Spaces, exis­ting stan­dards are being used and fur­ther deve­lo­ped if necessa­ry.

This is whe­re the Inter­na­tio­nal Data Spaces Asso­cia­ti­on gets active:

Desi­gning the cer­ti­fi­ca­ti­on mea­su­res

Defi­ning and imple­men­ting stan­dards