Data Sharing & Data Pools

Today, data sharing and data pools are a source of com­pe­ti­ti­ve advan­ta­ge in digi­tal busi­ness. Ger­man Federal Minis­ter Alt­mai­er recent­ly advo­ca­ted Euro­pean data pools to ensu­re the com­pe­ti­ti­ve­ness of com­pa­nies in Euro­pe, par­ti­cu­lar­ly small and medi­um sized enter­pri­ses (Ger­man Federal Minis­ter Alt­mai­er Advo­ca­ting Data Pools)

How to crea­te a data pool? How to make it safe, how to main­tain data rights or in other words, how to ensu­re data sov­er­eig­n­ty?
IDSA is pro­vi­ding the blue­prints with an archi­tec­tu­re to ensu­re that par­ti­ci­pants can share and pool data while main­tai­ning data sov­er­eig­n­ty. Deut­sche Telekom’s IoT busi­ness is one of the pioneers offe­ring a first imple­men­ta­ti­on with its Tele­kom Data Intel­li­gence Hub. It intro­du­ced an IDS-based Con­nec­tor solu­ti­on (see
IDS RAM 3.0) for data sharing with gover­nan­ce con­trols at the 2019 Han­no­ver Tra­de Fair.

The Data Intel­li­gence Hub

The Data Intel­li­gence Hub func­tions as a neu­tral data cus­to­di­an with the hig­hest secu­ri­ty stan­dards, and it can gua­ran­tee the respec­ti­ve data sov­er­eig­n­ty through decen­tra­li­zed data sto­rage. It is imple­men­ting IDS as a cloud-based ser­vice offe­ring to redu­ce the cost and time of sharing data. With the plat­form-as-a-ser­vice design the hub makes data pools acces­si­ble for small com­pa­nies as well as cities, and even other ser­vice pro­vi­ders and con­sul­tanci­es that may lack the resour­ces and cloud exper­ti­se of a lar­ge enter­pri­se.

First Con­nec­tor Imple­men­ta­ti­on of the Data Intel­li­gence Hub based on the IDS Refe­rence Archi­tec­tu­re

Start imple­men­ting IDS yourself: First IDS imple­men­ta­ti­ons are cri­ti­cal so that poten­ti­al users can stop tal­king and start doing, crea­ting and tes­ting first pro­to­ty­pes and solu­ti­ons.

Star­ting is easy!

The Tele­kom Data Intel­li­gence Hub offers free test accounts with a few limi­ted fea­tures. It also offers a “Data Sand­box” for expe­ri­ments with data ana­ly­tics. This sand­box is avail­ab­le on an invi­ta­ti­on basis only, it is vir­tu­al, cloud-based and expli­ci­tly about pro­to­typ­ing: Think big, start small, fail ear­ly, sca­le fast. Test user’s data can be com­ple­men­ted and enri­ched with data from the Data Intel­li­gence Hub ­– pro­vi­ded for free under cer­tain cir­cum­s­tan­ces. For examp­le, it can assist with “peop­le traf­fic data” from Moti­onlo­gic, an expert on the ana­ly­sis of traf­fic and move­ment streams based on anony­mous signa­ling data from mobi­le com­mu­ni­ca­ti­on net­works.

For the “Data Sand­box”: Click here

For a sto­ry with the Moti­onlo­gic use case “Space Race”: Click here

Text by: Prof. Dr. Chris Schlue­ter Lang­don, Deut­sche Tele­kom

More blog arti­cles from Pro­fes­sor Chris­toph Schlue­ter Lang­don:
Click here


Blog post “Ger­man Federal Minis­ter Alt­mai­er Advo­ca­ting Data Pools“:
Click here

IDS Refe­rence Archi­tec­tu­re Model: Click here

Tele­kom joins IDSA ; 2019 Han­no­ver Mes­se: Click here