scholarly journals Semantics for data in agriculture: a community-based wish list.

2018 ◽  
Author(s):  
Caterina Caracciolo ◽  
Sophie Aubin ◽  
Brandon Whitehead ◽  
Panagiotis Zervas
Keyword(s):  
Working Group ◽  
Research Data ◽  
Community Based ◽  
Online Platform ◽  
Semantic Resources ◽  
Local Installation

Abstract The paper reports on activities carried within the Agrisemantics Working Group of the Research Data Alliance (RDA). The group investigated on what are the current problems research and practitioners experience in their work with semantic resources for agricultural data, and elaborated the list of requirements that are the object of this paper. The main findings include the need to broaden the usability of tools so as to make them useful and available to the variety of profiles usually involved in working with semantics resources; the need to online platform to lift users from the burden of local installation; and the need for services that can be integrated in workflows. We further analyze requirements concerning the tools and services and provide details about the process followed to gather evidence from the community.

scholarly journals Promoting cross-jurisdictional primary health care research: developing a set of common indicators across 12 community-based primary health care teams in Canada

2018 ◽  
Vol 20 ◽  
Author(s):  
Sabrina T. Wong ◽  
Julia M. Langton ◽  
Alan Katz ◽  
Martin Fortin ◽  
Marshall Godwin ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
Working Group ◽  
Scale Up ◽  
Data Sources ◽  
Knowledge Generation ◽  
Community Based ◽  
Primary Health ◽  
The Impact

AbstractAimTo describe the process by which the 12 community-based primary health care (CBPHC) research teams worked together and fostered cross-jurisdictional collaboration, including collection of common indicators with the goal of using the same measures and data sources.BackgroundA pan-Canadian mechanism for common measurement of the impact of primary care innovations across Canada is lacking. The Canadian Institutes for Health Research and its partners funded 12 teams to conduct research and collaborate on development of a set of commonly collected indicators.MethodsA working group representing the 12 teams was established. They undertook an iterative process to consider existing primary care indicators identified from the literature and by stakeholders. Indicators were agreed upon with the intention of addressing three objectives across the 12 teams: (1) describing the impact of improving access to CBPHC; (2) examining the impact of alternative models of chronic disease prevention and management in CBPHC; and (3) describing the structures and context that influence the implementation, delivery, cost, and potential for scale-up of CBPHC innovations.FindingsNineteen common indicators within the core dimensions of primary care were identified: access, comprehensiveness, coordination, effectiveness, and equity. We also agreed to collect data on health care costs and utilization within each team. Data sources include surveys, health administrative data, interviews, focus groups, and case studies. Collaboration across these teams sets the foundation for a unique opportunity for new knowledge generation, over and above any knowledge developed by any one team. Keys to success are each team’s willingness to engage and commitment to working across teams, funding to support this collaboration, and distributed leadership across the working group. Reaching consensus on collection of common indicators is challenging but achievable.

scholarly journals MAPPING THE CONCEPT OF A GOOD SCHOOL WITH TEACHERS’ CHARACTERISTICS IN THE CONTEXT OF A GOOD SCHOOL CONCEPT

2019 ◽  
Vol 10 (2) ◽  
pp. 32-42
Author(s):  
Roma KRIAUČIŪNIENĖ ◽  
VILIJA TARGAMADZĖ
Keyword(s):  
Qualitative Research ◽  
General Education ◽  
Research Data ◽  
Structured Interviews ◽  
Community Based ◽  
School Activities ◽  
Good School ◽  
Research Findings ◽  
Research Questions ◽  
School Concept

Aim. The concept of Good School was formed in 2015, however, the implementation of it has been rather slow. Therefore, the research aim of this article is to identify the educational experts’ viewpoints on the concept. The following questions have been raised to specify the aim: if the concept of the school of general education, presented as Good School, is adequately understood, what features should a teacher have in order to implement the concept of Good School? Methods. To answer the research questions a qualitative research by using structured interviews was carried out, i.e. experts’ written surveys were analyzed. The study revealed three positions that are discussed in this article: the concept of Good School, the mission and teachers’ features, which are interpreted in the context of the concept of Good School, albeit in a particular way. Results. The analysis of the empirical research data revealed that insufficient emphasis is placed on the value aspect, modelling of community-based school activities and their reflection. The research findings also showed that there has been a considerable lack of attention paid to some of the teacher's competences – there has been a lack of experts’ focus on the personalization of the educational content, its construction in the interaction with the elements of the pedagogical system, the reflection of pedagogical activities, and others. Conclusions. The concept of Good School is understood by the experts as a map, a conceptual idea, a guideline unfolding the schools’ specificity. The implementation of the concept of Good School should be based on the ideas of constructionism  that open the pathways of common  development,  realization, and improvement of Good School.

scholarly journals Connecting Data Publication to the Research Workflow: A Preliminary Analysis

2017 ◽  
Vol 12 (1) ◽  
pp. 88-105 ◽  
Author(s):  
Sünje Dallmeier-Tiessen ◽  
Varsha Khodiyar ◽  
Fiona Murphy ◽  
Amy Nurnberger ◽  
Lisa Raymond ◽  
...  
Keyword(s):  
Working Group ◽  
Research Data ◽  
Data Publishing ◽  
Data Repository ◽  
Research Activity ◽  
Data Repositories ◽  
Data Publication ◽  
Loosely Coupled ◽  
Definition Of ◽  
Data Documentation

The data curation community has long encouraged researchers to document collected research data during active stages of the research workflow, to provide robust metadata earlier, and support research data publication and preservation. Data documentation with robust metadata is one of a number of steps in effective data publication. Data publication is the process of making digital research objects ‘FAIR’, i.e. findable, accessible, interoperable, and reusable; attributes increasingly expected by research communities, funders and society. Research data publishing workflows are the means to that end. Currently, however, much published research data remains inconsistently and inadequately documented by researchers. Documentation of data closer in time to data collection would help mitigate the high cost that repositories associate with the ingest process. More effective data publication and sharing should in principle result from early interactions between researchers and their selected data repository. This paper describes a short study undertaken by members of the Research Data Alliance (RDA) and World Data System (WDS) working group on Publishing Data Workflows. We present a collection of recent examples of data publication workflows that connect data repositories and publishing platforms with research activity ‘upstream’ of the ingest process. We re-articulate previous recommendations of the working group, to account for the varied upstream service components and platforms that support the flow of contextual and provenance information downstream. These workflows should be open and loosely coupled to support interoperability, including with preservation and publication environments. Our recommendations aim to stimulate further work on researchers’ views of data publishing and the extent to which available services and infrastructure facilitate the publication of FAIR data. We also aim to stimulate further dialogue about, and definition of, the roles and responsibilities of research data services and platform providers for the ‘FAIRness’ of research data publication workflows themselves.

scholarly journals A National Research Data Management Strategy for Canada: The Work of the National Data Archive Consultation Working Group

10.29173/iq91 ◽  
2001 ◽  
Vol 25 (3) ◽  
pp. 13
Author(s):  
Yvette Hackett
Keyword(s):  
Data Management ◽  
Working Group ◽  
Management Strategy ◽  
Research Data ◽  
Data Archive ◽  
National Data ◽  
Research Data Management

A National Research Data Management Strategy for Canada: The Work of the National Data Archive Consultation Working Group

scholarly journals Practicing what we preach: developing a data sharing policy for the Journal of the Medical Library Association

2018 ◽  
Vol 106 (2) ◽  
Author(s):  
Kevin B. Read ◽  
Liz Amos ◽  
Lisa M. Federer ◽  
Ayaba Logan ◽  
T. Scott Plutchak ◽  
...  
Keyword(s):  
Data Sharing ◽  
Working Group ◽  
Health Sciences ◽  
Research Data ◽  
Research Results ◽  
Medical Library ◽  
Information Professionals ◽  
Published Research

Providing access to the data underlying research results in published literature allows others to reproduce those results or analyze the data in new ways. Health sciences librarians and information professionals have long been advocates of data sharing. It is time for us to practice what we preach and share the data associated with our published research. This editorial describes the activity of a working group charged with developing a research data sharing policy for the Journal of the Medical Library Association.

scholarly journals Research Data Management - Current status and future challenges for German non-university research institutions

2020 ◽  
Vol 6 ◽  
Author(s):  
Mareike Petersen ◽  
Bianca Pramann ◽  
Ralf Toepfer ◽  
Janna Neumann ◽  
Harry Enke ◽  
...  
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Working Group ◽  
Research Data ◽  
University Research ◽  
Current Status ◽  
Research Data Management ◽  
World Cafe ◽  
Future Challenges ◽  
Scientific Fields

This report describes the results of a workshop on research data management (RDM) that took place in June 2019. More than 50 experts from 46 different non-university institutes covering all Leibniz Sections participated. The aim of the workshop was the intra- and transdisciplinary exchange among RDM experts of different institutions and sections within the Leibniz Association on current questions and challenges but also on experiences and activities with respect to RDM. The event was structured in inspiring talks, a World Café to discuss ideas and solutions related to RDM and an exchange of experts following their affiliation to the different Leibniz sections. The workshop revealed that most institutions, independent of scientific fields, face similar overarching problems with respect to RDM, e.g. missing incentives and no awareness of the benefits that would arise from a proper RDM and data sharing. The event also endorsed that the Research Data Working Group of the Leibniz Association (AK Forschungsdaten) is a place for the exchange of all topics around RDM and enables discussions on how to refine RDM at all institutions and in all scientific fields.

scholarly journals Tiny Data: Building a Community of Practice around Humanities Datasets

2019 ◽  
Vol 13 (1) ◽  
pp. 319-326
Author(s):  
Veronica Ikeshoji-Orlati ◽  
Mary Anne Caton ◽  
Suellen Stringer-Hye
Keyword(s):  
Community Of Practice ◽  
Working Group ◽  
Quantitative Data ◽  
Scientific Research ◽  
Research Data ◽  
Structured Data ◽  
Free Form ◽  
Social Scientific ◽  
Vanderbilt University

Quantitative data, the foundation of scientific research, have been in the foreground of discussions about data creation, curation, and publication pipelines. However, data for humanistic and social scientific inquiries take many forms, including physical and ephemeral primary resources (books, objects, performances, interactions); qualitative, free-form observations; as well as quantitative, structured data and metadata. At the Vanderbilt University Jean and Alexander Heard Library, we started the Tiny Data Working Group (TDWG) in 2016 to tackle some of the humanistic research data creation and curation issues in a constructive, collaborative, and interdisciplinary format. The present paper considers what it means to be FAIR with humanities data, as well as how to build a community of data-literate humanists, based on our experiences with the TDWG.

scholarly journals Citizen Science Network Austria Working Group on Open Biodiversity Databases in Citizen Science Projects: Catalogue of Questions for Project Managers

2019 ◽  
Author(s):  
Florian Heigl ◽  
Daniel Dörler ◽  
Theresa Walter ◽  
Linde Morawetz
Keyword(s):  
Citizen Science ◽  
Working Group ◽  
Publishing Research ◽  
Project Managers ◽  
Research Data ◽  
Research Results ◽  
Science Projects ◽  
Biodiversity Databases

As part of the Citizen Science Network Austria (https://www.citizen-science.at/netzwerk), the working group Open Biodiversity Databases in Citizen Science Projects was established in February 2018. The objectives of this working group are (I) to formulate a catalogue of questions to help deciding about open publishing of research data collected in a citizen science biodiversity project, (II) to accompany and document the process of open publishing of research data from a concrete project and (III) to write and publish a so-called data paper in addition to publishing research results. This document is the product of point (I) of the objectives, the questionnaire.

Enhancing Professional Learning Through Mobile Devices for Pre-Service Teachers in Remote Communities

2018 ◽  
Vol 10 (4) ◽  
pp. 13-31
Author(s):  
Philip Bruce Townsend
Keyword(s):  
Mobile Devices ◽  
Professional Learning ◽  
Torres Strait Islander ◽  
Academic Support ◽  
Research Data ◽  
Initial Teacher Education ◽  
Teacher Education Programs ◽  
Career Goal ◽  
Remote Communities ◽  
Community Based

This article details the construction of a Grounded Theory to explain the concept of enhancing professional learning through mobile devices. The research data was delimited to the behaviours and beliefs of Aboriginal and Torres Strait Islander pre-service teachers enrolled in two community-based initial teacher education programs in very remote communities in Australia. Four educational uses of mobile devices were identified: accessing content, handling administration, collaborating for academic support and sharing personal encouragement. The use of mobile devices enabled adults to choose times of study, choose places of study, complete assessment relevant to their course and achieve a career goal. Three elements that impact the educational use of mobile devices were identified (i.e. context, precursors and catalyst). Seven categories underlie the concept of enhancing professional learning through mobile devices: fostering access, facilitating customisation, promoting collaboration, supporting relevance, completing the course, empowering agency and enabling networking.

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