Here you will find answers to frequently asked questions about the data marketplace.


How to set the language?

In the first step, the display language of the web appli­ca­tion is automa­ti­cally selected by the default settings of your browser.If you want to change this setting, there is always a drop-down menu in the upper left corner of the naviga­tion bar that you can use to change your display language to one of 16 options.

What do the languages do?

If you select one of the 16 languages from the drop-down menu, the static text of the entire portal is displayed in the selected language. Dynamically inserted text, such as the details (title, descrip­tion, etc…) of the records in the search results list, can be loaded using the special “Translate” button. The button is located in the upper right corner of the search results list.


What are the different membership models?

The data market­place will offer four diffe­rent membership models: Free, Premium, Small Business & Enterprise.

How do the membership models differ?

In general, the diffe­rent member models can be diffe­ren­tiated according to use cases:

FreePremiumSmall BusinessEnterprise
Primarily aimed at citizens interested in data and generally is the best option “for a taste”. All rudimen­tary functions can be used and tested. It is aimed prima­rily at indivi­duals who are interested in data and who are involved to the extent that the monetary aspect plays a decisive role.This service is aimed prima­rily at SMEs that are interested in moneti­zing their own data or need access to a large data portfolio.Addresses large compa­nies that have a strong commer­cial drive, need many users on the portal and need a very indivi­dual solution.

The “Small Business” and “Enterprise” options are each an organi­za­tion account linked to a number of indivi­dual user accounts tailored to your needs.  You can find out more about organi­za­tions on the Data Marketplace in the FAQ section “Data Management”.

For a detailed list of the diffe­rent functions, please visit our price overview.

How can I create a Premium/Small Business/Enterprise?

In the current phase, these accounts are only set up indivi­dually according to the wishes of the users. If you are interested, you can contact us at any time and we will be happy to advise you.

User profile

Where can I view and edit my profile data?

All data you entered when regis­te­ring your account can be edited on the platform itself (inclu­ding your password).
To do this, you can click either your name or your user picture in the upper naviga­tion bar on the left and then “My Account Settings” in the selec­tion.
You now are on an overview page of your profile data. Now click on the “Edit Account” button on the right-hand side. Changes must be saved with a final click on the “Save Changes” button.

How can I delete my profile?

If you have an account that is linked to an organi­za­tion, please contact the “owner” of that organi­za­tion on the market­place. He has the ability to delete your profile.

If your user account is not linked to an organi­sa­tion, please contact us directly and we will be happy to help you with your requests.

What happens if I forget my login data?

If you have forgotten your login data, navigate to the start page of the data market­place, click on “Login”/“Login” and select the option “Forgot your password”.

After the correct entry of the e‑mail address of the linked account, an e‑mail will be sent to this address with the possi­bi­lity to re-assign a new password.

Data catalog

What is metadata?

One of the special features of the data market­place is that any data found on the portal is stored only as metadata with reference to the original data source.

Metadata is descrip­tive data – data about data. If the actual record is a table file with sensor data, the metadata record provided by Advaneo consists of a meaningful title, a descrip­tion of the content, keywords, catego­ries, file size, file format, …

How do I find data on the marketplace?

There are three modern search and filter options based on the exten­si­vely processed metadata avail­able for naviga­ting through the wide range of products on offer.

Classical text field search

As known from large infor­ma­tion portals (Google, Wikipedia, Amazon…), the first entry point into data search is a familiar, single-line text field for simple entry of search terms. These search terms can be further edited in the results overview either by hand or by prede­fined filters (left side of the results overview). The search function can be used across languages.


The Discovery feature is a visual, immer­sive search experi­ence speci­fi­cally designed to enable users to navigate through the platform’s data network in a novel graphical way. Data and its metadata-level connec­tions are graphi­cally repre­sented, provi­ding new insights.

Tip: Can provide inspi­ra­tion for a new look at the existing possi­bi­li­ties and is parti­cu­larly suitable for an intro­duc­tion.


In addition to the two graphical frontend solutions, the data market­place also offers experi­enced users the oppor­tu­nity* to commu­ni­cate directly with the database via APIs. Currently, you can use APIs to add and search metadata records. More detailed infor­ma­tion will be avail­able in future in our API documen­ta­tion Link.

Beyond these accesses, naviga­tion is supported by a recom­men­da­tion system for data records based on machine learning.

*Access to the API is restricted by membership type.

Offering data

Can I offer my own data on the marketplace?

Yes, you can also offer your own data on the data market­place. In order to create a data economy that is as indivi­dual as possible but nevertheless broad-based, this is even expli­citly desired.

Data offers can be either free or chargeable/commercial.Free offers should be provided with a free license and are avail­able to every regis­tered user at any time after the listing.

For paid offers, the provider sets a price and terms of use in the form of a license. The raw data is only avail­able to the interested party after accep­tance of the license and the confirmed payment.

What payment options are offered?

The data market­place currently offers the possi­bi­lity to pay by credit card (Mastercard & Visa). An exten­sion to all common payment formats, such as other credit cards, direct debit, digital options (Google Pay, Appe Pay…), will follow shortly.

How can I post my own offers?

Own data offers can be added to the portal in two ways: through a graphical user inter­face on the web appli­ca­tion and through the API.

The graphical solution for the prepa­ra­tion of offers can be reached by clicking the “Upload here” button (symbol: up arrow) in the naviga­tion bar. After clicking, you will be taken to a multi-level form, which you can use to create all the required meta infor­ma­tion for your dataset, add the raw data source, a license and a price, and finally preview the entry.

For automated posting of many offers, we recom­mend the API solution. To do this, a data record must be created in the Advaneo metadata schema and sent to the inter­face with authen­ti­ca­tion. For a more detailed descrip­tion, see the API documen­ta­tion in the future.

What is the value of my data?

This is one of the burning questions of the emerging data economy. In order to find an answer and to make it as easy as possible for you to get started with this topic, ADVANEO has developed an appli­ca­tion based on the current state of the art and research, which calcu­lates a proposal for a price range based on some state­ments about the nature of your data.

Whether you follow this sugges­tion at the end, is of course entirely at your discre­tion.

Exchanging data

How can I access the data on the data marketplace?

The exchange of raw data always takes place peer-to-peer directly from the provi­der’s data source to the data user. This can essen­ti­ally take place in two diffe­rent ways: The data provider can provide direct access to his raw data (e.g. via a direct download link or an API) or enter his data source in his ADVANEO Connector, which in turn commu­ni­cates with the data user’s Connector and trans­fers the raw data within the scope of the accepted license.

In general, the rule of thumb for this distinc­tion is: open data should be offered directly, while commer­cial offers should be imple­mented with the connector.

In general, it is worth mentio­ning once again: Access to raw data is only granted by the market­place if the data user accepts the linked license for the data set and, in the case of a commer­cial offer, the data provider has accepted the purchase request and the payment has been confirmed by the system.

What is a connector and how do I use it?

The ADVANEO Connector is a software appli­ca­tion that can be connected to a variety of diffe­rent data sources (file systems, database systems, sensor data streams, … The list is always being extended). The connector can thus be granted access to the raw data and the data memory. At the same time, connec­tors can commu­ni­cate with each other and send and receive data from each other. Since connec­tors can also identify themselves, a basis for a secure and automatable data exchange between two parties is created.

Each user* gets access to a personal connector, which can be managed via a dashboard. The dashboard can be accessed by clicking on the account settings menu > “My Connectors”. There you can access data requests as well as received data trans­mis­sions.

*Details depend on your membership. See also the functio­n­a­li­ties in the price overview.

Governing data

What is a “Closed User Group” (CUG)?

A “Closed User Group” refers to an extern­ally closed group of users who can gain exclu­sive access to certain data through membership. As a rule, this data cannot be found publicly on the market­place and may be parti­cu­larly sensi­tive.

How do I use a CUG?

A CUG can be created by selec­ting “User Groups” > “Create Closed User Group” in the naviga­tion bar. After the click a dialog opens asking for the group name, a descrip­tion of the group, a group logo and the members to be added. Once the group has been created by a confir­ma­tion, you will automa­ti­cally be taken to the group overview, where you can add files, further members and details to the group by simple clicks. The group admins have sover­eignty over the group and can also share the files with the group.

You can get an overview of your existing CUGS via the link “User group” > “My Closed User Groups”.

What is an organization?

An “organi­za­tion” on the data market­place is a repre­sen­ta­tion of organi­za­tions, compa­nies, associa­tions, etc. of real life on the market­place. Users and data can be assigned to these organi­za­tions and access rights defined by an integrated user role system.

A data market­place organi­za­tion is associated with a “Small Business” or “Enterprise” level membership. Adapted to your needs, an organi­za­tion is created on the market­place, a respon­sible person is entered as “Owner” (user role with the highest adminis­tra­tive rights of an organi­za­tion) and the possi­bi­lity is given to add a contract defined number of additional persons as members.

What possibilities does an organization grant me?

Currently, the main functions of an organi­za­tion are to repre­sent your organic organi­za­tion digitally and to organize access rights on the data market­place. The former has the effect that your organi­za­tion can be found on the market­place with the infor­ma­tion you provide and is clearly identi­fied as the owner of your data records. The second is realized via the “Owner”, “Admin” and “Member” for the members of your organi­za­tion. These have respec­tively decrea­sing adminis­tra­tion and access rights to the market­place. For example, “Owners” and “Admins” can view private entries of the organi­za­tion on the market­place which are hidden to all other users or create CUGs to share them.

Your organi­za­tion overview can be accessed via “My account settings” > “Organization details”. If you click on the name of your organi­za­tion, you will be taken to a panel where you can manage general infor­ma­tion about the organi­za­tion, members, requests and your records.

Work with data

How to use the Workbench (Jupyter)

To get to the Workbench, click on the “Workbench” button (symbol “WB”) in the naviga­tion bar.After the click you get to the notebook overview. If you are not yet familiar with a notebook, you can use the folder Examples/Basics to open the file “Jupyter Introduction”, which will intro­duce you to the topic. This folder also contains tutorials for the Python and R languages. Examples of data analysis can be found in “Live Examples”.

If you automa­ti­cally add data from the market­place using the “Add to Workbench” button, it will be saved in the “Workbench Data” folder. Own files can be added to the Workbench via the button “Upload here” in the notebook overview.

Now you can set up your own work struc­ture and start your data projects.

What is the Workbench?

The Data Science Workbench of the data market­place is a collec­tion of common tools for data proces­sing & analysis.

Currently the Workbench includes a Jupyter Notebook which is operated in the Advaneo cloud. Each user has an indivi­dual workbench at his disposal, on which he can effort­lessly integrate data directly from the market­place or from external sources. Currently the Workbench supports projects in Python 3, Julia 1.0.1, R and Ruby 2.5.1. Common data science libra­ries are pre-installed for all kernels. This list can also be extended dynami­cally according to requi­re­ments.

In the near future the imple­men­ta­tion of further common data proces­sing tools (Anaconda, Tensorsflow, H2O, Knime, …) into the market­place is planned.


What is a datathon?

A datathon is a concep­tual specia­li­za­tion of the term “hacka­thon”. A datathon specia­lizes in colla­bo­ra­tively solving data-related IT problems in a compe­ti­tion.
The DataMarketplace offers the possi­bi­lity to create, market and carry out such compe­ti­tions in an organized system in order to generate further added value from your own data.

How do I create my own datathon?

The first step to create a datathon is the theore­tical planning and the develop­ment of the concept. This happens independently of the data market­place.

On the portal the datathon can now be created via the button “Datathons” > “Create a Datathon”. A dialog window opens in which you have to enter a title, a more detailed descrip­tion, an event logo, a price and the datasets to be used.

After confir­ming the details, you will be taken to its overview page.

How do I participate in a datathon?

You can parti­ci­pate in a datathon by naviga­ting via the overview list (“Datathons” > “Datathons”) to the detail page of a datathon and using the “Join Datathon” button there.

There are two options to parti­ci­pate: As a single person or as a team. As an indivi­dual, all you have to do is indicate that you want them to choose this option. A team must be created in advance through the “Datathon” > “Create a Team” dialog. When the required infor­ma­tion is filled in, your team is created and you can parti­ci­pate in the datathon by entering the team name.