Search results for: data stewardship

• ATOMIC DATA AND NUCLEAR DATA TABLES

  Journals

  ISSN: 0092-640X , eISSN: 1090-2090

• Data in Brief

  Journals

  ISSN: 2352-3409

• Scientific Data

  Journals

  ISSN: 2052-4463

• JOURNAL OF CHEMICAL AND ENGINEERING DATA

  Journals

  ISSN: 0021-9568 , eISSN: 1520-5134

• Big Data

  Journals

  ISSN: 2167-6461 , eISSN: 2167-647X

• Genomics Data

  Journals

  ISSN: 2213-5960

• Data Intelligence

  Journals

  eISSN: 2641-435X

• Data & Policy

  Journals

  eISSN: 2632-3249

• Data Analysis in Bridge of Data

  Publication

  • W. Artichowicz
  • K. Drypczewski
  • J. Proficz

  - Year 2022

  The chapter presents the data analysis aspects of the Bridge of Data project. The software framework used, Jupyter, and its configuration are presented. The solution’s architecture, including the TRYTON supercomputer as the underlying infrastructure, is described. The use case templates provided by the Stat-reducer application are presented, including data analysis related to spatial points’ cloud-, audio- and wind-related research.

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• Data Analytics Meeting

  Events

  17-05-2024 08:30 - 18-05-2024 15:00

  Data Analytics Meeting Konferencja studentów i doktorantów

• Data reduction and stacking for imbalanced data classification

  Publication

  • I. Czarnowski
  • P. Jędrzejowicz

  - Journal of Intelligent & Fuzzy Systems - Year 2019

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• Harmony Search for Data Mining with Big Data

  Publication

  • J. Balicki
  • P. Dryja
  • W. Korłub

  - Year 2016

  In this paper, some harmony search algorithms have been proposed for data mining with big data. Three areas of big data processing have been studied to apply new metaheuristics. The first problem is related to MapReduce architecture that can be supported by a team of harmony search agents in grid infrastructure. The second dilemma involves development of harmony search in preprocessing of data series before data mining. Moreover,...

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• Data

  Journals

  ISSN: 2306-5729

• Data Reduction Algorithm for Machine Learning and Data Mining

  Publication

  • I. Czarnowski
  • P. Jȩdrzejowicz

  - Year 2008

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• Data governance: Organizing data for trustworthy Artificial Intelligence

  Publication

  • M. Janssen
  • P. Brous
  • E. Estevez
  • L. S. Barbosa
  • T. Janowski

  - GOVERNMENT INFORMATION QUARTERLY - Year 2020

  The rise of Big, Open and Linked Data (BOLD) enables Big Data Algorithmic Systems (BDAS) which are often based on machine learning, neural networks and other forms of Artificial Intelligence (AI). As such systems are increasingly requested to make decisions that are consequential to individuals, communities and society at large, their failures cannot be tolerated, and they are subject to stringent regulatory and ethical requirements....

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• Data Processing Systems

  Journals

  ISSN: 1681-7710

• DATA & KNOWLEDGE ENGINEERING

  Journals

  ISSN: 0169-023X , eISSN: 1872-6933

• Big Data Research

  Journals

  ISSN: 2214-5796

• Big Data & Society

  Journals

  ISSN: 2053-9517

• Data Technologies and Applications

  Journals

  ISSN: 2514-9288 , eISSN: 2514-9318

• Journal on Data Semantics

  Journals

  ISSN: 1861-2032 , eISSN: 1861-2040

• Geoscience Data Journal

  Journals

  ISSN: 2049-6060

• EPJ Data Science

  Journals

  ISSN: 2193-1127

• Biodiversity Data Journal

  Journals

  ISSN: 1314-2836 , eISSN: 1314-2828

• Intelligent Data Analysis

  Journals

  ISSN: 1088-467X , eISSN: 1571-4128

• Data Science Journal

  Journals

  ISSN: 1683-1470

• Transactions on Data Privacy

  Journals

  ISSN: 1888-5063 , eISSN: 2013-1631

• Health data management

  Journals

  ISSN: 1079-9869

• Data Science and Engineering

  Journals

  ISSN: 2364-1185

• Methods Data Analyses

  Journals

  ISSN: 1864-6956 , eISSN: 2190-4936

• Chemical Data Collections

  Journals

  ISSN: 2405-8300

• NCHS data brief

  Journals

  ISSN: 1941-4935

• Annals of Data Science

  Journals

  ISSN: 2198-5804 , eISSN: 2198-5812

• Data Science and Management

  Journals

  eISSN: 2666-7649

• Data-Centric Engineering

  Journals

  eISSN: 2632-6736

• Foundations of Data Science

  Journals

  eISSN: 2639-8001

• Frontiers in Big Data

  Journals

  eISSN: 2624-909X

• Big Earth Data

  Journals

  ISSN: 2096-4471 , eISSN: 2574-5417

• NUCLEAR DATA SHEETS

  Journals

  ISSN: 0090-3752 , eISSN: 1095-9904

• BMC Genomic Data

  Journals

  ISSN: 2730-6844

• LIFETIME DATA ANALYSIS

  Journals

  ISSN: 1380-7870 , eISSN: 1572-9249

• DATA INTEROPERABILITY AND THE OPEN DATA ECOSYSTEM: ROLES AND RESEARCH AREAS

  Publication

  • M. Ali

  - Year 2023

  Sustainability and value-creation are considered important parameters to measure the success of an open data system. Unfortunately, existing open data systems are not meeting their promises to achieve a sustainable and value-based open data system. Van Loenen et al. (2021) proposed a sustainable and value-creating open data ecosystem. According to their study, the open data ecosystem needs to be user-driven, inclusive, circular,...

• Data Extraction, Transformation and Loading process in data warehouse development.

  Publication

  • D. Romanowski
  • E. Szczerbicki

  - Year 2004

  Omówiono podstawowe elementy procesu projektowania hurtowni danych.

• Asking Data in a Controlled Way with Ask Data Anything NQL

  Publication

  • A. Seganti
  • P. Kapłański
  • J. Campo
  • K. Cieśliński
  • J. Koziołkiewicz
  • P. Zarzycki

  - Year 2016

  While to collect data, it is necessary to store it, to understand its structure it is necessary to do data-mining. Business Intelligence (BI) enables us to make intelligent, data-driven decisions by the mean of a set of tools that allows the creation of a potentially unlimited number of machine-generated, data-driven reports, which are calculated by a machine as a response to queries specified by humans. Natural Query Languages...

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• The Importance of Demand and Environment for Defining and Establishing the Role of Data Stewards

  Publication

  • A. Wałek
  • P. Helling
  • F. Rau
  • M. Linne
  • J. Dierkes
  • M. Jetten
  • M. Szuflita-Żurawska

  - Year 2022

  Data stewardship is now a central part of FAIR research data management. Although various types of positions called data stewards have been created at academic institutions over the last years, no demand-oriented, formal model of data stewardship and the associated roles exist so far. This workshop report presents the outcomes of the panel discussion “The Importance of Demand and Environment for Defining Data Stewardship” held...

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• Data librarian and data steward – new tasks and responsibilities of academic libraries in the context of Open Research Data implementation in Poland

  Publication

  • A. Wałek

  - Przegląd Biblioteczny - Year 2019

  Thesis/Objective – The policy of Open Access (OA) for researching resources in Europe has been implemented for more than 10 years. The first recommendations concerning providing OA to scientific materials were defined during the implementation of the 7th Framework Programme. Introducing another set of recommendations concerning OA to research data was the next stage. The recommendations were transformed into obligations under the...

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• Managing Data from Heterogeneous Data Sources Using Knowledge Layer

  Publication

  • K. Goczyła
  • T. Zawadzka
  • M. Zawadzki

  - Year 2006

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• Atmospheric emissions of POPs in Europe - a discussion of existing data and data need

  Publication

  • K. Breivik
  • V. Vestreng
  • O. Rozovskaya
  • J. Pacyna

  - ENVIRONMENTAL SCIENCE & POLICY - Year 2006

  Zaproponowano, aby schematy inwentaryzacji i raportowania emisji w przyszłości były tak dobrane, aby zaspokajały potrzeby zarówno administracji odpowiedzialnej za strategię redukcji emisji jak i naukowców wykorzystujących inwentaryzację emisji na potrzeby dalszych badań naukowych. Stan obecny inwentaryzacji emisji POP oszacowany został jako niezadowalający a dalsze usprawnienia są konieczne dla poprawienia wiarygodności wyników...

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• Managing data from heterogeneous data sources using knowledge layer

  Publication

  • K. Goczyła
  • T. Zawadzka
  • M. Zawadzki

  - Year 2006

  W procesie integrowania danych przy użyciu ontologii, ważne jest aby zarządzać danymi przechowywanymi w zewnętrznych źródłach, analogicznie jak tymi przechowywanymi w Bazie Wiedzy. Zaprezentowana w poprzednich pracach metoda kartograficznej reprezentacji wiedzy pozwala na wnioskowanie z danych przechowywanych w Bazie wiedzy. Rozwiązanie zaprezentowane w tej pracy umożliwia wykorzystanie metody kartograficznej do wnioskowania z...

• Big Data i 5V – nowe wyzwania w świecie danych (Big Data and 5V – New Challenges in the World of Data)

  Publication

  • K. Goczyła

  - Year 2014

  Rodzaje danych, składające się na zbiory typu Big Data, to m.in. dane generowane przez użytkowników portali internetowych, dane opisujące transakcje dokonywane poprzez Internet, dane naukowe (biologiczne, astronomiczne, pomiary fizyczne itp.), dane generowane przez roboty w wyniku automatycznego przeszukiwania przez nie Internetu (Web mining, Web crawling), dane grafowe obrazujące powiązania pomiędzy stronami WWW itd. Zazwyczaj,...