Prioritizing curation targets for data curation based on downstream impact

Abstract

Methods and systems for curating data by a data manager are disclosed. Data may be curated from various data sources before being provided to downstream consumers that may rely on the trustworthiness of the curated data in order to provide desired computer-implemented services. During the data curation process, data curation resources are used to improve the trustworthiness and/or value of the collected data. However, data curation resources (e.g., data curators, computing resources) may be limited and/or insufficient to perform the data curation process as desired, which may result in unusable and/or uncurated (e.g., untrustworthy) data. Thus, portions of the data (e.g., curation targets) may be prioritized (e.g., relative to other curation targets). The curation targets may be curated with the available data curation resources based on their relative priority in order to reduce the likelihood of providing untrustworthy data to entities (e.g., downstream consumers) that facilitate the computer-implemented services.