New & improved B2FIND 3.0

• Upgraded new hardware with larger storage space for growing number of records or research communities

• Inclusion of supplementary libraries (e.g. BeautifulSoup, Shapely) 

• Clean, modular python-based code in the backend that enables faster and more flexible metadata integration according to research communities’ needs on several complexity levels.

• Option to group different harvesting endpoints to one community with specific mapping for each endpoint, including reader for common standards.

• Enhanced metadata schema based on Datacite, including now the elements ‘Size’, ‘Version’, ‘Funding Reference’ and ‘Instrument’. 

• Reingestion of all B2FIND communities using common standards reader and additional adjusted mapfiles

Read more information on the service.