26 papers · ranked by Valyu relevance
Karen S. Baker, Florence Millerand
After decades of growth, a research community's network information system and data repository were transformed to become a national data management office and a major element of data infrastructure for ecology and the environmental sciences. Developing functional data infrastructures is key to the support of ongoing…
Boris Otto, Anja Burmann
Daten stellen eine strategische Ressource für die Wettbewerbsfähigkeit von Unternehmen und die Prosperität der Gesellschaft dar. Von der Nutzung von Daten vieler einzelner Akteure profitieren die Gemeinschaft, aber auch das Individuum. Beispiele hierfür liefern das Gesundheitswesen oder die Mobilität. Dabei sind die…
Shantenu Jha, Daniel S. Katz, André Luckow, Omer Rana + 2 more
'Yogesh Simmhan' 'Neil Chue Hong'] A common feature across many science and engineering applications is the amount and diversity of data and computation that must be integrated to yield insights. Data sets are growing larger and becoming distributed; and their location, availability and properties are often…
Rachel Drysdale, Charles E. Cook, Robert Petryszak, Vivienne Baillie-Gerritsen + 13 more
Life science research in academia, industry, agriculture, and the health sector is critically dependent on free and open data resources. ELIXIR, the European Research Infrastructure for life sciences data, has undertaken the task of identifying the set of Core Data Resources within Europe that are of most fundamental…
Roman Lukyanenko
Data Management Authors: ['Roman Lukyanenko'] In an era dominated by information technology, the critical discipline of data management remains undervalued compared to the innovations it enables, such as artificial intelligence and social media. The ambiguity surrounding what constitutes data management and its…
Trishan Panch, Heather Mattie, Leo Anthony Celi
As the UK sits in painful deadlock over Brexit, it is important to remember that governments are regularly faced with crises, and their responses can create enduring benefit for future generations. Back in 1858, for example, the UK parliament was dealing with another messy crisis: “the great stink.” In a world before…
MJ Schull, M Azimaee, M Marra, RG Cartagena + 3 more
'A Guttmann'] Background ICES was founded in 1992 to study the health care system in Ontario and promote effective, efficient and equitable health care. Over 27 years later, the goal remains largely unchanged, though the institute has grown in size and impact. Originally known as the Institute for Clinical Evaluative…
M. TAMER ÖZSU
Work-in-progressThere has been an increasing recognition of the value of data and of data-based decision making. As a consequence, the development of data science as a field of study has intensified in recent years. However, there is no systematic and comprehensive treatment and understanding of data science. This…
Kai-Hsin Hung, Sumaya Nur Adan, Krupa Suchak, Armita Sadeghian Barzoki + 2 more
Artificial intelligence depends on large-scale compute resources and their supporting infrastructure. However, AI governance debates treat compute primarily as a technical input rather than as an outcome of investment, ownership, and financial control. This paper examines AI infrastructure investment flows across…
Konstantin Pilz, Lennart Heim
This report characterizes the data center industry and its importance for AI development. Data centers are industrial facilities that efficiently provide compute at scale and thus constitute the engine rooms of today's digital economy. As large-scale AI training and inference become increasingly computationally…
Authors not listed
Agentic artificial intelligence (AI) is poised to redefine how science is conducted, automating not just data analysis but the entire research lifecycle, from hypothesis generation to validation. Yet most current AI agents remain domain-bound, tailored to specific applications such as materials synthesis or quantum…
Vijay Gadepally, Jeremy Kepner
Data forms a key component of any enterprise. The need for high quality and easy access to data is further amplified by organizations wishing to leverage machine learning or artificial intelligence for their operations. To this end, many organizations are building resources for managing heterogenous data, providing…
J.L. Hyde, A.C. Swanson, S.A. Bohlman, S. Athayde + 2 more
New infrastructure projects are planned or under construction in several countries, including in the bioculturally diverse Amazon, Mekong, and Congo regions. While infrastructure development can improve human health and living standards, it may also lead to environmental degradation and social change. Accessible, high…
Danielle C. Robinson, Joe A. Hand, Mathias Buus Madsen, Karissa R. McKelvey
'Karissa R. McKelvey'] Today’s scientific data are primarily stored and accessed via centralized Web-based infrastructure. Centralization has advantages but also carries risks such as link rot and content drift, which can hinder scientific progress. It is time to ask whether traditional, centralized Web architecture…
Dimitri Yatsenko, Jacob Reimer, Alexander S. Ecker, Edgar Y. Walker + 6 more
The rise of big data in modern research poses serious challenges for data management: Large and intricate datasets from diverse instrumentation must be precisely aligned, annotated, and processed in a variety of ways to extract new insights. While high levels of data integrity are expected, research teams have diverse…
Michael Hanke, Franco Pestilli, Adina S. Wagner, Christopher J. Markiewicz + 2 more
'Christopher J. Markiewicz' 'Jean-Baptiste Poline' 'Yaroslav O. Halchenko'] Decentralized research data management (dRDM) systems handle digital research objects across participating nodes without critically relying on central services. We present four perspectives in defense of dRDM, illustrating that, in contrast to…
Liwei Wang, Andrew Wen, Sunyang Fu, Xiaoyang Ruan + 5 more
The Observational Medical Outcomes Partnership (OMOP) common data model (CDM) that is developed and maintained by the Observational Health Data Sciences and Informatics (OHDSI) community supports large scale cancer research by enabling distributed network analysis. As the number of studies using the OMOP CDM for cancer…
L. Jonathan Dursi, Zoltan Bozoky, Richard de Borja, Jimmy Li + 27 more
Rapid expansions of bioinformatics and computational biology have broadened the collection and use of -omics data including genomic, transcriptomic, methylomic and a myriad of other health data types, in the clinic and the laboratory. Both clinical and research uses of such data require co-analysis with large datasets…
Rosa Virginia Encinas Quille, Felipe Valencia de Almeida, Mauro Yuji Ohara, Pedro Luiz Pizzigatti Corrêa + 5 more
'Mauro Yuji Ohara' 'Pedro Luiz Pizzigatti Corrêa' 'Leandro Gomes de Freitas' 'Solange Nice Alves-Souza' 'Jorge Rady de Almeida Jr.' 'Maggie Davis' 'Giri Prakash'] Atmospheric data are collected by researchers every day. Campaigns such as GOAmazon 2014/2015 and the Amazon Tall Tower Observatory collect essential data on…
Chia-Lin Lin, Pei-Chi Huang, Simone Graessle, Christoph Grathwol + 20 more
Results of scientific work in chemistry can usually be obtained in the form of materials and data. A big step towards transparency and reproducibility of the scientific work can be gained if scientists publish their data in a FAIR (Findable, Accessible, Interoperable, Reusable) manner in research data repositories.…
Authors not listed
The nanosafety domain has seen significant advancements in data generation and sharing, yet challenges remain in ensuring data interoperability and reuse. This article focuses on developing a semantic interoperability framework for nanosafety data to maximize the FAIRness (Findability, Accessibility, Interoperability…
Juha-Pekka Soininen, Gabriella Laatikainen
The paper presents a use case model and a logical architecture model of a data space system. The models view the data space system from the user and operator perspectives and describe the needed functionalities and their connection on an abstract level. The core features in our data space model are collaboration…
Lucy Waruingi, Alistair Rob Marchant, Diego Juffe, D. Neil Burgess + 2 more
Globally, conservation and development efforts are impacted by human-wildlife conflict as this issue negatively affects human lives. Increasingly, sub-Saharan Africa has become the focus of linear transportation infrastructure development that encroaches on many traditional wildlife areas. One of the resulting effects…
Authors not listed
The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The traditional approach often led to redundant engineering effort, high…
Lukas Küng, Silvan Aeschlimann, Charithea Charalambous, Fergus McIlwaine + 8 more
Direct air carbon capture and storage (DACCS) involves a set of approaches for capturing CO2 directly from the air and its subsequent long-term storage. DACCS is at an early stage of technical development and currently faces a variety of challenges, including high cost and energy requirements. Building on publicly…
Lukas Küng, Silvan Aeschlimann, Charithea Charalambous, Fergus McIlwaine + 8 more
Direct air carbon capture and storage (DACCS) involves a set of approaches for capturing CO2 directly from the air and its subsequent long-term storage. DACCS is at an early stage of technical development and currently faces a variety of challenges, including high cost and energy requirements. Building on publicly…