Search results for: data steward

• 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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• 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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• Toward Robust Pedestrian Detection With Data Augmentation

  Publication

  • S. Cygert
  • A. Czyżewski

  - IEEE Access - Year 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

  Journals

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

• Nicole Nawrot dr inż.

  People

  Department of Sanitary Engineering

  Dr. Eng. Nicole Nawrot has been employed at the Department of Sanitary Engineering since 2016. In 2021, she obtained a PhD in the field of engineering and technical sciences in the discipline of environmental engineering, mining and energy. Doctoral thesis entitled "Heavy metals in urban retention tanks bottom sediments: distribution, source tracking, and evaluation of phytostabilization adaptability and performance of P. australis...

• 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

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

  Publication

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

  - ENVIRONMENTAL MONITORING AND ASSESSMENT - Year 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

  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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• Marta Piątek-Hnat dr hab. inż.

  People

  Biblioteka Główna [untranslated]

• Źródła antropologii Juliana Haynesa Stewarda

  Publication

  • R. Sadowski
  • R. F. SADOWSKI

  - Studia Ecologiae et Bioethicae - Year 2006

  Full text to download in external service

• Data Reduction Algorithm for Machine Learning and Data Mining

  Publication

  • I. Czarnowski
  • P. Jȩdrzejowicz

  - Year 2008

  Full text to download in external service

• 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

  Journals

  ISSN: 2306-5729

• 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.