Understanding biodiversity patterns as well as drivers of population declines, and range losses provides crucial baselines for monitoring and conservation. However, the information needed to evaluate such trends remains unstandardised and sparsely available for many taxonomic groups and habitats, including the cave-dwelling bats and cave ecosystems. We developed the DarkCideS 1.0 (https://darkcides.org/), a global database of bat caves and species synthesised from publicly available information and datasets. The DarkCideS 1.0 is by far the largest database for cave-dwelling bats, which contains information for geographical location, ecological status, species traits, and parasites and hyperparasites for 679 bat species are known to occur in caves or use caves in part of their life histories. The database currently contains 6746 georeferenced occurrences for 402 cave-dwelling bat species from 2002 cave sites in 46 countries and 12 terrestrial biomes. The database has been developed to be collaborative and open-access, allowing continuous data-sharing among the community of bat researchers and conservation biologists to advance bat research and comparative monitoring and prioritisation for conservation.

Understanding biodiversity patterns as well as drivers of population declines, and range losses provides crucial baselines for monitoring and conservation. However, the information needed to evaluate such trends remains unstandardised and sparsely available for many taxonomic groups and habitats, including the cave-dwelling bats and cave ecosystems. Here, we present the DarkCideS 1.0, a global database of bat caves and bat species based on curated data from the literature, personal collections, and existing datasets. The database contains information for geographical distribution, ecological status, species traits, and parasites and hyperparasites for 679 bat species known to occur in caves or use caves in their life-histories. The database contains 6746 georeferenced occurrences for 402 cave-dwelling bat species from 2002 cave sites in 46 countries and 12 terrestrial biomes. The database has been developed to be a collaborative, open-access, and user-friendly platform, allowing continuous data-sharing among the community of bat researchers and conservation biologists. The database has a range of potential applications in bat research and enables comparative monitoring and prioritisation for conservation.

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As the amount of massive and heterogeneous genomic data and the relative annotations continue to grow, A flexible and easy-to-access data management solution is required to integrate the heterogeneous genomics data that can accommodate the needs of diverse annotation tasks. This research expounds the benefits of using IBM DB2 Content Manager (CM) Software by conducting taskoriented grape genome annotations, and data quality assurance checks throughout the annotation process. To demonstrate the usability of this application, we describe the implementation of two real-life content-based, genome annotation case scenarios: 1) Expressed Sequence Tags annotation and 2) sequence annotation related to Simple Sequence Repeats (SSR) markers. The IBM DB2 CM allowed users to easily construct content-based genomic information applications as rapidly built and readily adapted customized content documents with attributes within an easy-to-use interface system. Users can simultaneously conduct the annotation quality checks while making annotations by utilizing a built-in, standardized data quality control assurance procedure [referred to as] annotation "routing." The system provides search features or cross-links with different annotation contents or data formats. The data quality workflow and procedure within the system also resulted in accuracy and consistency in the data annotation and curation lifecycle.