Wyniki wyszukiwania dla: data steward

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

  Publikacja

  • A. Wałek

  - Przegląd Biblioteczny - Rok 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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• The Importance of Demand and Environment for Defining and Establishing the Role of Data Stewards

  Publikacja

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

  - Rok 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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• Toward Robust Pedestrian Detection With Data Augmentation

  Publikacja

  • S. Cygert
  • A. Czyżewski

  - IEEE Access - Rok 2020

  In this article, the problem of creating a safe pedestrian detection model that can operate in the real world is tackled. While recent advances have led to significantly improved detection accuracy on various benchmarks, existing deep learning models are vulnerable to invisible to the human eye changes in the input image which raises concerns about its safety. A popular and simple technique for improving robustness is using data...

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• ATOMIC DATA AND NUCLEAR DATA TABLES

  Czasopisma

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

• Nicole Nawrot dr inż.

  Osoby

  Katedra Inżynierii Sanitarnej

  Dr inż. Nicole Nawrot jest zatrudniona w Katedrze Inżynierii Sanitarnej od 2016 roku. W 2021 uzyskała tytuł naukowy doktora z wyróżnieniem w dziedzinie nauk inżynieryjno-technicznych w dyscyplinie inżynieria środowiska, górnictwo i energetyka. Pracę doktorską pt. „Heavy metals in urban retention tanks bottom sediments: distribution, source tracking, and evaluation of phytostabilisation adaptability and performance of P. australis...

• Data in Brief

  Czasopisma

  ISSN: 2352-3409

• Scientific Data

  Czasopisma

  ISSN: 2052-4463

• JOURNAL OF CHEMICAL AND ENGINEERING DATA

  Czasopisma

  ISSN: 0021-9568 , eISSN: 1520-5134

• Big Data

  Czasopisma

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

• Genomics Data

  Czasopisma

  ISSN: 2213-5960

• Data Intelligence

  Czasopisma

  eISSN: 2641-435X

• Data & Policy

  Czasopisma

  eISSN: 2632-3249

• Determination of EC50 toxicity data of selected heavy metals toward heterocypris incongruens and their comparison to "direct-contact" and microbiotests

  Publikacja

  • B. Kudłak
  • L. Wolska
  • J. Namieśnik

  - ENVIRONMENTAL MONITORING AND ASSESSMENT - Rok 2011

  W artykule omówiono czułość organizmu Heterocypris incongruens wobec metali ciężkich. Pomimo iż test Ostracodtoxkit F jest dostępny hadlowo na rynku od wielu lat to brak jest danych na temat czułości i selektywności tego organizmu, a dane na ten temat są niezbędne podczas interpretowania wyników oznaczeń toksyczności chronicznej próbek gleb i osadów. Wyniki LC50 oraz EC50 zostały też porównane z danymi innych handlowo dostępnych...

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• Data Analysis in Bridge of Data

  Publikacja

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

  - Rok 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

  Wydarzenia

  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

  Publikacja

  • I. Czarnowski
  • P. Jędrzejowicz

  - Journal of Intelligent & Fuzzy Systems - Rok 2019

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• Harmony Search for Data Mining with Big Data

  Publikacja

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

  - Rok 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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• Marta Piątek-Hnat dr hab. inż.

  Osoby

  Biblioteka Główna

• Data

  Czasopisma

  ISSN: 2306-5729

• Źródła antropologii Juliana Haynesa Stewarda

  Publikacja

  • R. Sadowski
  • R. F. SADOWSKI

  - Studia Ecologiae et Bioethicae - Rok 2006

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• Data governance: Organizing data for trustworthy Artificial Intelligence

  Publikacja

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

  - GOVERNMENT INFORMATION QUARTERLY - Rok 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 Reduction Algorithm for Machine Learning and Data Mining

  Publikacja

  • I. Czarnowski
  • P. Jȩdrzejowicz

  - Rok 2008

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• Data Processing Systems

  Czasopisma

  ISSN: 1681-7710

• DATA & KNOWLEDGE ENGINEERING

  Czasopisma

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

• Big Data Research

  Czasopisma

  ISSN: 2214-5796

• Big Data & Society

  Czasopisma

  ISSN: 2053-9517

• Data Technologies and Applications

  Czasopisma

  ISSN: 2514-9288 , eISSN: 2514-9318

• Journal on Data Semantics

  Czasopisma

  ISSN: 1861-2032 , eISSN: 1861-2040

• Geoscience Data Journal

  Czasopisma

  ISSN: 2049-6060

• EPJ Data Science

  Czasopisma

  ISSN: 2193-1127

• Biodiversity Data Journal

  Czasopisma

  ISSN: 1314-2836 , eISSN: 1314-2828

• Intelligent Data Analysis

  Czasopisma

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

• Data Science Journal

  Czasopisma

  ISSN: 1683-1470

• Transactions on Data Privacy

  Czasopisma

  ISSN: 1888-5063 , eISSN: 2013-1631

• Health data management

  Czasopisma

  ISSN: 1079-9869

• Data Science and Engineering

  Czasopisma

  ISSN: 2364-1185

• Methods Data Analyses

  Czasopisma

  ISSN: 1864-6956 , eISSN: 2190-4936

• Chemical Data Collections

  Czasopisma

  ISSN: 2405-8300

• NCHS data brief

  Czasopisma

  ISSN: 1941-4935

• Annals of Data Science

  Czasopisma

  ISSN: 2198-5804 , eISSN: 2198-5812

• Data Science and Management

  Czasopisma

  eISSN: 2666-7649

• Data-Centric Engineering

  Czasopisma

  eISSN: 2632-6736

• Foundations of Data Science

  Czasopisma

  eISSN: 2639-8001

• Frontiers in Big Data

  Czasopisma

  eISSN: 2624-909X

• Big Earth Data

  Czasopisma

  ISSN: 2096-4471 , eISSN: 2574-5417

• NUCLEAR DATA SHEETS

  Czasopisma

  ISSN: 0090-3752 , eISSN: 1095-9904

• BMC Genomic Data

  Czasopisma

  ISSN: 2730-6844

• LIFETIME DATA ANALYSIS

  Czasopisma

  ISSN: 1380-7870 , eISSN: 1572-9249

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

  Publikacja

  • M. Ali

  - Rok 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,...

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

  Publikacja

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

  - Rok 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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