In general, the different member models can be differentiated according to use cases:
|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.
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.
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.
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.
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, …
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.
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.
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.
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.
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.
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.
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.
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.
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”.
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.
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.
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.
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.
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.
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.