{'fraction_non_alphanumeric': 0.018447348193697154, 'fraction_numerical': 0.0, 'mean_word_length': 5.78125, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Information Centric Networking for Sharing and Accessing Digital Objects with Persistent Identifiers on Data Infrastructures

Persistent identifiers (PIDs) such as Digital Object Identifiers (DOIs) provide a unique and persistent way to identify and cite digital objects such as publications, media content and research data. They are widely used by data producers to catalogue and publish digital assets and research data. Nowadays, research infrastructures (RIs) offer services not only for accessing and publishing data objects, but also for processing data based on user demands, e.g., via scientific workflows or third party virtual research environments. However, efficiently retrieving and sharing digital objects in a shared data processing environment requires knowledge of application access patterns as well as the underlying network level distribution. As the number and size of data objects increases, optimizing data discovery and access among distributed partners on shared infrastructure emerges as an important challenge for infrastructure operators to maintain quality of service and user experience. In this paper, we propose a novel approach that utilizes Information Centric Networking (ICN) to retrieve content based on PIDs while optimizing data access on shared infrastructure.