The OpenUP Pilot on Research Data Sharing, Validation and Dissemination in Social Sciences

2019 ◽  
pp. 248-258
Author(s):  
Daniela Luzi ◽  
Roberta Ruggieri ◽  
Lucio Pisacane
Keyword(s):  
Social Sciences ◽  
Data Sharing ◽  
Research Data

scholarly journals DataStaR: Using the Semantic Web approach for Data Curation

2011 ◽  
Vol 6 (2) ◽  
pp. 209-221 ◽  
Author(s):  
Huda Khan ◽  
Brian Caruso ◽  
Jon Corson-Rikert ◽  
Dianne Dietrich ◽  
Brian Lowe ◽  
...  
Keyword(s):  
Social Sciences ◽  
Semantic Web ◽  
Data Sharing ◽  
Research Data ◽  
Data Curation ◽  
Data Staging ◽  
Domain Specific ◽  
Digital Infrastructure

In disciplines as varied as medicine, social sciences, and economics, data and their analyses are essential parts of researchers’ contributions to their respective fields. While sharing research data for review and analysis presents new opportunities for furthering research, capturing these data in digital forms and providing the digital infrastructure for sharing data and metadata pose several challenges. This paper reviews the motivations behind and design of the Data Staging Repository (DataStaR) platform that targets specific portions of the research data curation lifecycle: data and metadata capture and sharing prior to publication, and publication to permanent archival repositories. The goal of DataStaR is to support both the sharing and publishing of data while at the same time enabling metadata creation without imposing additional overheads for researchers and librarians. Furthermore, DataStaR is intended to provide cross-disciplinary support by being able to integrate different domain-specific metadata schemas according to researchers’ needs. DataStaR’s strategy of a usable interface coupled with metadata flexibility allows for a more scaleable solution for data sharing, publication, and metadata reuse.

scholarly journals Research Data Management and Data Sharing among Research Scholars of Life Sciences and Social Sciences

2019 ◽  
Vol 39 (06) ◽  
pp. 290-299
Author(s):  
Naushad Ali PM ◽  
Sidra Saeed
Keyword(s):  
Social Sciences ◽  
Data Management ◽  
Data Sharing ◽  
Life Sciences ◽  
Scientific Progress ◽  
Research Data ◽  
Key Factors ◽  
Research Data Management ◽  
Share Data

This study investigates perception of research scholars towards research data management and sharing. A survey was conducted among research scholars from Faculty of Life Sciences and Social Sciences, Aligarh Muslim University (AMU). In total, 352 participants filled out the questionnaire. The study shows that research scholars ofFaculty of Social Sciences are more willing to share their research data as compared to Research Scholars of Life Sciences. Contributing to scientific progress and increasing research citations and visibility were the key factors that motivated researchers to share data. However, confidentiality and data misuse were the main concerns among those who were unwilling to share. Finally, some recommendations to improve the of data management and sharing practices are presented.

scholarly journals Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group

2021 ◽  
Vol 5 ◽  
pp. 267
Author(s):  
Claire C. Austin ◽  
Alexander Bernier ◽  
Louise Bezuidenhout ◽  
Juan Bicarregui ◽  
Timea Biro ◽  
...  
Keyword(s):  
Social Sciences ◽  
Community Participation ◽  
Data Sharing ◽  
Indigenous Peoples ◽  
Working Group ◽  
Clinical Medicine ◽  
Research Data ◽  
Ethical Considerations ◽  
Data Repositories ◽  
Research Software

The systemic challenges of the COVID-19 pandemic require cross-disciplinary collaboration in a global and timely fashion. Such collaboration needs open research practices and the sharing of research outputs, such as data and code, thereby facilitating research and research reproducibility and timely collaboration beyond borders. The Research Data Alliance COVID-19 Working Group recently published a set of recommendations and guidelines on data sharing and related best practices for COVID-19 research. These guidelines include recommendations for clinicians, researchers, policy- and decision-makers, funders, publishers, public health experts, disaster preparedness and response experts, infrastructure providers from the perspective of different domains (Clinical Medicine, Omics, Epidemiology, Social Sciences, Community Participation, Indigenous Peoples, Research Software, Legal and Ethical Considerations), and other potential users. These guidelines include recommendations for researchers, policymakers, funders, publishers and infrastructure providers from the perspective of different domains (Clinical Medicine, Omics, Epidemiology, Social Sciences, Community Participation, Indigenous Peoples, Research Software, Legal and Ethical Considerations). Several overarching themes have emerged from this document such as the need to balance the creation of data adherent to FAIR principles (findable, accessible, interoperable and reusable), with the need for quick data release; the use of trustworthy research data repositories; the use of well-annotated data with meaningful metadata; and practices of documenting methods and software. The resulting document marks an unprecedented cross-disciplinary, cross-sectoral, and cross-jurisdictional effort authored by over 160 experts from around the globe. This letter summarises key points of the Recommendations and Guidelines, highlights the relevant findings, shines a spotlight on the process, and suggests how these developments can be leveraged by the wider scientific community.

scholarly journals Data policies and data archives as prerequisites of reproducible published research in economics journals

2014 ◽  
Author(s):  
Sven Vlaeminck
Keyword(s):  
Social Sciences ◽  
Data Sharing ◽  
Research Data ◽  
Technical Solution ◽  
German Research Foundation ◽  
Scholarly Journals ◽  
Related Data ◽  
The Social ◽  
Economics Journals ◽  
Published Research

>> See video of presentation (19 min.) In economics - as in many other branches of the social sciences- collaboratively working on data and sharing data is not very common, yet. This is also reflected in the professions’ journals, where policies on data management and data sharing currently exist for a small minority of journals only.I would like to introduce the presentation with some empirical results of a survey, in which economists working for the project EDaWaX (European Data Watch, a project funded by the German Research Foundation) analysed the data sharing behaviour of 488 US and European applied economists. Subsequently we give an overview on data policies of journals in economics and business studies. In the course of the EDaWaX project, the data policies in a sample of more than 300 economics journals have been analysed. The talk suggests guidelines for data policies aiming to foster replication of published research and presents some characteristics of journals equipped with those data policies as well as the status quo in disseminating underlying research data of empirically based articles.Against this analytical background the talk identifies some challenges associated with the current e-infrastructure for providing publication-related research data by journals. The presentation also shows a technical solution for some of these challenges. In particular, the talk presents a pilot application for a publication-related data archive for scholarly journals in the social sciences, which has been developed in the first funding phase of the EDaWaX-project. The aim of this open source tool is to empower editors of scholarly journals to easily manage research data for empirically based articles in their journals. The application mainly targets open research data but is also capable of interlinking data and publications even in the case of confidential or proprietary data.In conclusion the talk outlines the further development of our application and sketches other tasks of the project’s second funding phase.More information on the project is available on www.edawax.de  

scholarly journals Representation of Slovak Research Information (A Case Study)

Information ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 137
Author(s):  
Danica Zendulková ◽  
Boris Rysuľa ◽  
Andrea Putalová
Keyword(s):  
Social Sciences ◽  
National Level ◽  
Research Data ◽  
Research Information ◽  
Social Sciences And Humanities ◽  
Central Register ◽  
The World ◽  
Mutual Relations ◽  
Analytical Tools ◽  
The Eu

In the light of the increasing importance of the societal impact of research, this article attempts to address the question as to how social sciences and humanities (SSH) research outputs from 2019 are represented in Slovak research portfolios in comparison with those of the EU-28 and the world. The data used for the analysis originate from the R&D SK CRIS and bibliographic Central Register of Publication Activities (CREPČ) national databases, and WoS Core Collection/InCites. The research data were appropriate for the analysis at the time they were structured, on the national level; of high quality and consistency; and covering as many components as possible and in mutual relations. The data resources should enable the research outputs to be assigned to research categories. The analysis prompts the conclusion that social sciences and humanities research outputs in Slovakia in 2019 are appropriately represented and in general show an increasing trend. This can be documented by the proportion represented by the SSH research projects and other entities involved in the overall Slovak research outputs, and even the higher ratio of SSH research publications in comparison with the EU-28 and the world. Recommendations of a technical character include research data management, data quality, and the integration of individual systems and available analytical tools.

scholarly journals Challenges arising when seeking broad consent for health research data sharing: a qualitative study of perspectives in Thailand

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Phaik Yeong Cheah ◽  
Nattapat Jatupornpimol ◽  
Borimas Hanboonkunupakarn ◽  
Napat Khirikoekkong ◽  
Podjanee Jittamala ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Data Sharing ◽  
Health Research ◽  
Research Data ◽  
Broad Consent

scholarly journals Tutkimusaineiston avoin jakaminen – tutkimusorganisaatioiden jäsenten käsityksiä, kokemuksia ja mielipiteitä

2018 ◽  
Vol 37 (4) ◽  
Author(s):  
Heidi Enwald
Keyword(s):  
Data Sharing ◽  
Data Storage ◽  
Online Survey ◽  
Open Science ◽  
Research Data ◽  
Research Field ◽  
Open Research ◽  
Research Organizations ◽  
Data Collection Instrument ◽  
In The Beginning

Open research data is data that is free to access, reuse, and redistribute. This study focuses on the perceptions, opinions and experiences of staff and researchers of research institutes on topics related to open research data. Furthermore, the differences across gender, role in the research organization and research field were investigated. An international questionnaire survey, translated into Finnish and Swedish, was used as the data collection instrument. An online survey was distributed through an open science related network to Finnish research organizations. In the end, 469 responded to all 24 questions of the survey. Findings indicate that many are still unaware or uncertain about issues related to data sharing and long-term data storage. Women as well as staff and researchers of medical and health sciences were most concerned about the possible problems associated with data sharing. Those in the beginning of their scientific careers, hesitated about sharing their data.

scholarly journals Práticas e percepções dos pesquisadores brasileiros sobre serviços de acesso aberto a dados de pesquisa | Practices and perceptions of Brazilian researchers on open access to research data

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Sonia Elisa Caregnato ◽  
Samile Andrea de Souza Vanz ◽  
Caterina Groposo Pavão ◽  
Paula Caroline Jardim Schifino Passos ◽  
Eduardo Borges ◽  
...  
Keyword(s):  
Open Access ◽  
Data Sharing ◽  
Research Data ◽  
Exploratory Analysis ◽  
Data Reuse ◽  
Institutional Repositories ◽  
Open Research

RESUMO O artigo apresenta análise exploratória das práticas e das percepções a respeito do acesso aberto a dados de pesquisa embasada em dados coletados por meio de survey, realizada com pesquisadores brasileiros. As 4.676 respostas obtidas demonstram que, apesar do grande interesse pelo tema, evidenciado pela prevalência de variáveis relacionadas ao compartilhamento e ao uso de dados e aos repositórios institucionais, não há clareza por parte dos sujeitos sobre os principais tópicos relacionados. Conclui-se que, apesar da maioria dos pesquisadores afirmar que compartilha dados de pesquisa, a disponibilização desses dados de forma aberta e irrestrita ainda não é amplamente aceita.Palavras-chave: Dados Abertos de Pesquisa; Compartilhamento de Dados; Reuso de Dados.ABSTRACT This article presents an exploratory analysis of the practices and perceptions regarding open access to research data based on information collected by a survey with Brazilian researchers. The 4,676 responses show that, despite the great interest in the topic, evidenced by the prevalence of variables related to data sharing and use and to institutional repositories, there is no clarity on the part of the subjects on the main related topics. We conclude that, although the majority of the researchers share research data, the availability of this data in an open and unrestricted way is not yet widely accepted.Keywords: Open Research Data; Data Sharing; Data Reuse.

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