Results 41 to 50 of about 23,724,259 (306)

Questionnaire Data Stewardship Results in .xlsx

open access: yes, 2019
<p>This dataset is cited in the LCRDM task group Data Stewardship report, DOI <a href="https://zenodo.org/deposit/2642066">10.5281/zenodo.2642066</a> (April 2019). A  .sav version can be found here <a href="https:/
Task group Data Stewardship
core   +1 more source

A manifesto for increasing access to data in engineering

open access: yesData-Centric Engineering, 2020
This paper introduces a set of principles that articulate a shared vision for increasing access to data in the engineering and related sectors. The principles are intended to help guide progress toward a data ecosystem that provides sustainable access to
Leigh Dodds   +3 more
doaj   +1 more source

Long live the data! Embedded data management at a long‐term ecological research site

open access: yesEcosphere, 2021
Open‐access data associated with research efforts depend upon managing, packaging, and preserving data for sharing with collaborators and the public. The U.S. Long‐Term Ecological Research (LTER) Network, established in 1980, provides an early example of
Nicole E. Kaplan   +2 more
doaj   +1 more source

An evaluation of antimicrobial stewardship in community pharmacy [PDF]

open access: yes, 2016
This study investigated several aspects of antimicrobial stewardship by gathering information from community pharmacists and members of the public. The aim was to identify how community pharmacists implement antimicrobial stewardship guidelines and ...
Mellor, Callan, Hancock, Laura Jade
core   +2 more sources

Engaging state geological surveys in implementing data stewardship practices: a pilot workshop at the Kentucky Geological Survey [PDF]

open access: yesResearch Ideas and Outcomes
State geological surveys create and steward valuable long-term earth and environmental science datasets and often serve as physical archives for material samples.
Elizabeth Adams   +4 more
doaj   +3 more sources

Research Data Alliance Interest Group Professionalising Data Stewardship Career Tracks Survey Dataset

open access: yes, 2023
This is the final dataset resulting from the data steward Career Tracks survey that the Reseach Data Alliance (RDA) Interest Group Professionalising Data Stewardship carried out in 2022. Data stewards were defined as professionals who aim at guaranteeing
Biru, Zhou   +4 more
core   +1 more source

Embracing data preservation, sharing, and re-use in traumatic stress research

open access: yesEuropean Journal of Psychotraumatology, 2020
This editorial argues that it is time for the traumatic stress field to join the growing international movement towards Findable, Accessible, Interoperable, and Re-usable (FAIR) research data, and that we are well-positioned to do so.
Nancy Kassam-Adams, Miranda Olff
doaj   +1 more source

Identifying and addressing data asymmetries so as to enable (better) science

open access: yesFrontiers in Big Data, 2022
As a society, we need to become more sophisticated in assessing and addressing data asymmetries—and their resulting political and economic power inequalities—particularly in the realm of open science, research, and development.
Stefaan Verhulst, Andrew Young
doaj   +1 more source

Curriculum Development for FAIR Data Stewardship

open access: yesData Intelligence, 2022
Abstract The FAIR Guidelines attempts to make digital data Findable, Accessible, Interoperable, and Reusable (FAIR). To prepare FAIR data, a new data science discipline known as data stewardship is emerging and, as the FAIR Guidelines gain more acceptance, an increase in the demand for data stewards is expected.
Francisca Oladipo   +4 more
openaire   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed   +6 more
wiley   +1 more source

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