The community of users plays a key role in BERD@NFDI. Users will be involved in project steering and requirements analysis. A user-centered design and an agile development methodology ensure that the infrastructure is aligned with the actual needs of the user community.
In social sciences in general and business and economics in particular, both the amount and type of data sources have proliferated. Creating transparency of the types of data access and collection approaches will enhance the potential to reuse prior data collection efforts for replication, extension, and application to new research problems.
To investigate substantive research questions, researchers not only search for relevant data but also for relevant algorithms to analyze this data. BERD@NFDI enables users to assess algorithm performance to quickly understand potential novel applications, as well as compare performance differences across applications.
Access to a research data infrastructure provides the means to (re)use services for both human and machine scenarios. The BERD@NFDI information portal will package all necessary components and provide access to functionalities like searching, remote access and persistent identifiers.
Researchers generating data often face resource or legal constraints when intending to share data. Even if the data is being shared, it is often located in archives with only a small number of users and little impact on academic insights. BERD@NFDI will demonstrate the value of sharing to those involved in data production and support them to overcome existing barriers.