BERD@NFDI: NFDI for Business, Economic and Related Data

Collecting, processing, analyzing and preserving Business, Economic and Related Data – all in one place. BERD@NFDI will provide a powerful platform that will facilitate the integrated management of algorithms and data along the whole research cycle, with a special focus on unstructured (big) data such as video, images, audio, text or mobile data.

Planned features of the BERD@NFDI platform

  • BERD community building
  • BERD data lake with public-available and online accessible datasets
  • BERD data documentation and preservation guided by the FAIR principles
  • BERD algorithm repository and benchmarker
  • Computing and storage power to analyze (big) BERD
  • A broad set of APIs to interact with external systems

Learn more about us in our BERD@NFDI in a Nutshell presentation.

Our Mission

BERD@NFDI community involvement

The community of users representing the audience for BERD@NFDI infras- tructure plays a key role in this project. We intend to establish a connection with the user community to keep it involved and part of the whole project. This connection enables a more …

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BERD@NFDI community involvement

The community of users representing the audience for BERD@NFDI infras- tructure plays a key role in this project. We intend to establish a connection with the user community to keep it involved and part of the whole project. This connection enables a more active role of the users, starting from the conception and reaching to the design, implementation, and evaluation of the project. A user-centered design and an agile development methodolo- gy are an opportunity for an active and important role of the user community.

During the first phase, the user-centered design is used to identify the in – frastructure requirements from conception to implementation. The second phase continues to revolve around the user, but this time in a more “push” fashion. Now that infrastructure services are implemented, we will monitor usage activities, determine common patterns and make subtle, unobtru- sive suggestions to the user for maximum benefits from the infrastructure usage.

Measures

  • Involving the scientific community and libraries
  • Methods of user-centered requirements engineering Methods of user- centered requirements engineering Methods of user-centered require
  • Dissemination
  • Measuring impact
 

Processing BERD

BERD@NFDI supports a community that works with many different resource types. Since they often do not stem from a single entity, they adhere to potentially different data management practices and can be created with different data collection approaches. Thus, researchers …

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Processing BERD

BERD@NFDI supports a community that works with many different resource types. Since they often do not stem from a single entity, they adhere to potentially different data management practices and can be created with different data collection approaches. Thus, researchers have to deal with a variety of data and different levels of data quality. If the data is already available in a structured form, established checks and normalization procedures can be used to improve the quality of the (meta-)data. For unstructured data, new methods of classification, normalization, and quality assessment have been applied, but there is no commonly accepted standard. When dealing with historical data sources, the printed sources must first be digitized using text recognition methods. In all cases, data protection requirements may make further processing necessary (e.g., anonymization to protect personal information). BERD@NFDI will support the research community in selecting suitable methods for processing BERD and in documenting and making them accessible. We will develop standards and guidelines for the processing and documentation of unstructured data, evaluate new anonymization methods and provide tools to manage the conversion of historical data sources.

Measures:

  • Quality assurance and normalization
  • Anonymization
  • Processing Digitized Documents
 

Preservation of and Access to BERD

Access to a research data infrastructure and preservation of data provides the means to (re)use services for both human and machine scenarios. The information portal of BERD@NFDI will package all the necessary components in a delivery platform of …

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Preservation of and Access to BERD

Access to a research data infrastructure and preservation of data provides the means to (re)use services for both human and machine scenarios. The information portal of BERD@NFDI will package all the necessary components in a delivery platform of preservation and access to users. It will provide search functionalities with different levels of granularity, a single sign-on solution in order to enable remote access to the infrastructure, and the persistent identification (PID) as well as migration of resources in BERD@NFDI. The prerequisite for the implementation of these functionalities is the development of a metadata schema that meets the requirements of the heterogeneous data in BERD@NFDI and is compatible with existing standards and approaches.

Measures:

  • FAIR Metadata Management
  • Search
  • Remote Access and Secure Data Storage
  • Information portal
  • Persistent identifiers
  • Migration Strategy
 

Research Data Management Strategy

Given the increasing relevance of unstructured and semi-structured data in empirical research in business, economics and related fields, we propose to establish a holistic data management approach. The approach considers data management processes that are based on the UK Data Archive Lifecycle and governed by four major pillars, such as data governance (including data ethics), data integration and inter-operability, data quality (including data cleansing, data integrity, data enrichment as well as data quality assurance) and data management infrastructure (including database and storage management).