1、Anna Hermansen,The Linux FoundationMarch 2025Pathways to Open DataFindings from the 2024 World Open Innovation Conference Challenge SessionPaul Wiegmann,Eindhoven University of TechnologyForeword by Professor Henry Chesbrough,Luiss University and Haas School of Business at UC BerkeleyPathways to Ope

2、n DataCopyright 2025 The Linux Foundation|March 2025.This report is licensed under the Creative Commons Attribution-NoDerivatives 4.0 International Public License.Data silos hamstring research&innovation,and have become increasingly onerous alongside growing data needs to train AI models.Data privac

3、y concerns stem from compliance with regulations such as GDPR,which create a climate of risk aversion.Significant human resources are required for cleaning,standardizing,&maintaining a dataset.Overture Maps Foundation has built an open,agnostic,&standardized geospatial data platform for data owners&

4、service providers to leverage.Open data is freely accessible for universal use,leading to new avenues for innovation,greater reliability,&increased trust.Proprietary control over data gives companies greater certainty around compliance&quality while reducing the fear of losing competitive advantage.

5、The financial&resource costs of dataset maintenance engender a tradeoff between the quality of the data&the cost of accessing it.Building open data infrastructure requires a reworking of current data collection&sharing processes.The unique qualities of data as compared to softwaresuch as maintenance

6、,quality,privacy,&license diversitymake its openness challenging.“Semi-open”data platforms allow for collaborators to share best practices and other pre-competitive data while maintaining their competitive advantage.While a lack of standardization makes datasets unusable,AI tools offer opportunities