-
Alice ReyPosterPoster
In the age of massive data, time-intensive loading phases make databases less viable for data exploration tasks.
Go to contribution page
Still, the highly optimized query engines of database systems are greatly beneficial for the performance of data analysis tasks.
With our research, we want to bridge this gap and provide paramount analytical performance without the need of static data loading.
Our approach... -
Prof. Michael Beurskens (Universität Passau), Stefanie Scherzinger (Universität Passau)PosterPoster
Mit diesem Poster stellen wir das Datenbankherstellerrecht vor. Hierbei handelt es sich nicht, wie man aus dem Blickwinkel eines juristischen Laien und Mitglied der Datenbankforschungsgemeinde meinen könnte, um die Rechte bei der Entwicklung einer Datenbankmanagementsoftware, sondern um die Rechte des Herstellers einer Datenbankinstanz. Auch Forschende oder Forschungsinstitutionen werden beim...
Go to contribution page -
PosterPoster
Research has become increasingly reliant on extensive data. The integration, sharing and reuse of research data poses a significant challenge, particularly in the context of interdisciplinary collaborative projects. An essential objective for a research infrastructure dedicated to data management is to facilitate efficient data discovery and integration of diverse data sources. This pressing...
Go to contribution page -
PosterPoster
Since the publication of the FAIR principles in 2016, they have become increasingly important and various tools have been developed to help assess published data with regard to compliance with the FAIR principles. There is a wide range of fair assessment tools currently available, from simple printable PDF checklists to fully automated tools that only require a DOI or URL to perform the...
Go to contribution page -
Gereon Dusella (DIMA@TU Berlin)PosterPoster
In recent years, the amount of data made available in the earth-observation domain has increased exponentially. In 2022, for example, data released from the observations of eight Sentinel satellites amounted to 6.64 petabytes [2]. Now, researchers all over the world are using these vast amounts of resources to further improve our understanding of the world. In their journey, the researchers...
Go to contribution page -
PosterPoster
-
PosterPoster
Scientific publications have enormous amounts of information and serve as the main pillar for advancing knowledge across various disciplines. Recently, many sectors and disciplines have been employing Deep Learning (DL) models due to their popularity. However, manually extracting DL method information from publications is becoming tedious with the ever-growing published literature. On the...
Go to contribution page -
PosterPoster
In recent years, the advent of Large Language Models (LLMs) has transformed both natural language processing (NLP) and knowledge representation. With vast pre-trained parameters and advanced neural architectures, these models show remarkable results in generating human-like text. In knowledge representation, ontologies serve as fundamental frameworks for organizing and representing knowledge...
Go to contribution page -
PosterPoster
The STRENDA Commission (STandards for Reporting ENzymology Data, www.beilstein-strenda.org) made up of experts from the enzyme chemistry community and supported by the Beilstein-Institut, has developed the STRENDA Guidelines in tight consultation with the community. The aim is to improve the quality of enzyme function data in the literature. Today, more than 60 biochemical journals already...
Go to contribution page -
PosterPoster
With the acceptance of the FAIR Data principles in the research community, the requirements and standards of data publications have changed significantly. While the FAIR principles are explicitly targeted at metadata and digital resources such as APIs, workflows, ontologies, and models, these digital objects can not be made FAIR without supporting infrastructure services that are themselves...
Go to contribution page -
Poster
In this work, we explore the pivotal role of legal interoperability in facilitating the sharing and reusability of data across diverse domains. In particular, we focus on the challenges within the legal context, delving into issues related to diverse data types, potentially sensitive information, copyright concerns, and licensing intricacies. This work navigates through the complexities of...
Go to contribution page -
Noriko Cassman (Friedrich Schiller University)PosterPoster
Recent advances in sequencing technologies have resulted in a deluge of virus sequences, lately consisting mostly of SARS-Cov-2, into the global repositories such as the INSDC[1]:ENA[2] and GISAID[3]. However, many other viruses are under sequenced, and metadata is often lacking which hampers the re-use of the data[4]. As a service and upcoming Use Case of the NFDI4Microbiota consortium[5], we...
Go to contribution page -
Poster
The practice of data sharing is slowly but surely reaching further and deeper into scholarly realms, and an increasing share of such data meets at least some of the FAIR Principles. On that basis, it is increasingly possible for research data to be found and used by people and processes with no close relationship to the original research context, which opens up both opportunities and...
Go to contribution page
Choose timezone
Your profile timezone: