Data Gov­er­nance

Enable public authorities and businesses to better handle data.

Data governance serves to ensure data protection and data security, access rights, data availability and data quality. The Federal Ministry of Transport and Digital Infrastructure wanted to know how organizations can implement self-data governance and is supporting our project as accompanying research for the mFUND.

The chal­lenge

Today, a large part of the inno­va­tions in the mobil­i­ty sec­tor are based on the use of dif­fer­ent data sources. It is pre­cise­ly such research and devel­op­ment projects relat­ing to dig­i­tal data-based appli­ca­tions for mobil­i­ty 4.0 that the BMVI’s mFUND research ini­tia­tive has been fund­ing since 2016. while some of the imple­ment­ing orga­ni­za­tions have decades of expe­ri­ence in the strate­gic han­dling of data, oth­ers see ensur­ing data qual­i­ty or data secu­ri­ty as a major challenge.

Our approach

We want to enable pub­lic author­i­ties and com­pa­nies to set up their own rules and struc­tures for respon­si­ble han­dling of the data they man­age and use — this is called self gov­er­nance. The con­cept for this is being devel­oped on the basis of the needs of the mFUND projects. Since some com­pa­nies and author­i­ties are already act­ing in accor­dance with data gov­er­nance, case stud­ies will be pre­pared as best prac­tices. Annu­al online sur­veys as well as inter­views with the mFUND projects are nec­es­sary for a con­tin­u­ous view on the needs. At the same time, we work in an inter­dis­ci­pli­nary team and con­sult other experts* at var­i­ous points, as data gov­er­nance touch­es on a wide range of topics.

The results

The project team devel­ops novel self-data gov­er­nance con­cepts for dif­fer­ent types of orga­ni­za­tions. The result­ing con­sult­ing model can be used in var­i­ous data-dri­ven indus­tries. Inter­im results are pub­lished and dis­cussed at var­i­ous events, at trade fairs, local meet­ings and via the data gov­er­nance reports.

More on accom­pa­ny­ing research

Gov­er­nance reports for down­load (Ger­man)
Issue 1, May 2018
Issue 2, Octo­ber 2018
Issue 3, May 2019
Issue 4, Octo­ber 2019
Issue 5, May 2020

Check­list for bet­ter data qual­i­ty for down­load (Ger­man)
Check­list data qual­i­ty
Check­liste data protection

mFUND con­fer­ences
mFUND Con­fer­ence Octo­ber 2018 (Ger­man)
mFUND Con­fer­ence Sep­tem­ber 2019 (Ger­man)

Das Lab

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