scholarly journals A gestão dos dados de pesquisa no âmbito da comunidade dos pesquisadores vinculados aos programas de pós-graduação brasileiros na área da Ciência da Informação: desvendando as práticas e percepções associadas ao uso e reuso de dados | The management of research data within the community of researchers linked to Brazilian post-graduate programs in the area of Information Science: unveiling the practices and perceptions associated with the use and reuse of data

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Guilherme Ataíde Dias ◽  
Renata Lemos Dos Anjos ◽  
Débora Gomes De Araújo
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Management Practices ◽  
Information Science ◽  
Graduate Programs ◽  
Research Data ◽  
Formal Control ◽  
Community Of Researchers ◽  
E Mail ◽  
Science Information

RESUMO A pesquisa investigou as práticas e percepções associadas com a gestão de dados pelos pesquisadores na pós-graduação brasileira na área da Ciência da Informação (CI). O instrumento de pesquisa utilizado foi um questionário semiestruturado, enviado por e-mail para 341 pesquisadores vinculados aos programas de pós-graduação brasileiros em CI. Os dados obtidos foram analisados através de técnicas de estatística descritiva e análise temática. Verificou-se que as práticas de gestão de dados conduzidas pelos pesquisadores precisam ser aprimoradas e que eles possuem postura favorável com relação ao compartilhamento de dados, desde que exista algum controle formal sobre os mesmos.Palavras-chave: Dados de Pesquisa; Compartilhamento de Dados de Pesquisa; Ciência da Informação; Tecnologia da Informação.ABSTRACT The research investigated the practices and perceptions associated with data management by researchers in Brazilian postgraduate programs in the Information Science (IC) area. A semi-structured survey was used as the research instrument, it was sent by e-mail to 341 researchers linked to the Brazilian postgraduate programs in CI. The data was analyzed through descriptive statistics techniques and thematic analysis. It was found that the data management practices conducted by the researchers need to be improved and that they have a favorable approach regarding data sharing, provided there is some formal control over them.Keywords: Research Data; Research Data Sharing; Information Science; Information Technology.

Research Data Management

2016 ◽  
pp. 184-195
Author(s):  
Yuhong Cui
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Academic Libraries ◽  
Management Practices ◽  
Information Science ◽  
Open Science ◽  
Research Data ◽  
Three Dimensions ◽  
Research Data Management ◽  
The Status

Research Data is acknowledged as constituting elements of the big data landscape and currency of science. With the rise of the open science movement and data sharing policies, research data management has been an emerging practice among domain-specific science and library and information science, while academic libraries have become deeply involved in the development of principles and best practices for managing data for long-term use. Research data management practices in China have a much shorter history and face more challenges. This paper is to explore the development of research data management in China across different disciplines. A conceptual framework of Research Data Management for Development (RDM4D) is proposed to demonstrate the status of data sharing policies, data repositories and libraries actions within three dimensions of societies, technology and humanity in China. Our goal is to bridge the gap between China and other countries and explore which are the proper actions for Chinese academic libraries.

scholarly journals Researchers at Arab Universities Hold Positive Views on Research Data Management and Data Sharing

2020 ◽  
Vol 15 (2) ◽  
pp. 168-170
Author(s):  
Jennifer Kaari
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Data Privacy ◽  
Management Practices ◽  
Open Data ◽  
Scientific Progress ◽  
Management Plan ◽  
Research Data ◽  
Data Repository ◽  
Research Data Management

A Review of: Elsayed, A. M., & Saleh, E. I. (2018). Research data management and sharing among researchers in Arab universities: An exploratory study. IFLA Journal, 44(4), 281–299. https://doi.org/10.1177/0340035218785196 Abstract Objective – To investigate researchers’ practices and attitudes regarding research data management and data sharing. Design – Email survey. Setting – Universities in Egypt, Jordan, and Saudi Arabia. Subjects – Surveys were sent to 4,086 academic faculty researchers. Methods – The survey was emailed to faculty at three Arab universities, targeting faculty in the life sciences and engineering. The survey was created using Google Docs and remained open for five months. Participants were asked basic demographic questions, questions regarding their research data and metadata practices, and questions regarding their data sharing practices. Main Results – The authors received 337 responses, for a response rate of 8%. The results showed that 48.4% of respondents had a data management plan and that 97% were responsible for preserving their own data. Most respondents stored their research data on their personal storage devices. The authors found that 64.4% of respondents reported sharing their research data. Respondents most frequently shared their data by publishing in a data research journal, sharing through academic social networks such as ResearchGate, and providing data upon request to peers. Only 5.1% of respondents shared data through an open data repository.  Of those who did not share data, data privacy and confidentiality were the most common reasons cited. Of the respondents who did share their data, contributing to scientific progress and increased citation and visibility were the primary reasons for doing so. A total of 59.6% of respondents stated that they needed more training in research data management from their universities. Conclusion – The authors conclude that researchers at Arab universities are still primarily responsible for their own data and that data management planning is still a new concept to most researchers. For the most part, the researchers had a positive attitude toward data sharing, although depositing data in open repositories is still not a widespread practice. The authors conclude that in order to encourage strong data management practices and open data sharing among Arab university researchers, more training and institutional support is needed.

The Perception of Library and Information Science (LIS) Professionals about Research Data Management Services in University Libraries of Pakistan

Libri ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Murtaza Ashiq ◽  
Qurat Ul Ain Saleem ◽  
Muhammad Asim
Keyword(s):  
Developing Countries ◽  
Data Management ◽  
Management Practices ◽  
Information Science ◽  
Research Data ◽  
Motivational Factors ◽  
Survey Method ◽  
Library And Information Science ◽  
Research Data Management ◽  
Management Services

Abstract Research data management services (RDMS) is considered as an emerging and groundbreaking area for research libraries. A large number of studies focused on researchers’ perspectives of how they perform research data management practices. There are some studies that examine this important area of research from library and information science (LIS) professionals’ context, especially developing countries like Pakistan. Hence, this study addresses the gap and investigate the RDMS training needs, motivational factors, possible hindrances, and key reasons to support RDMS. A survey method was used and a self-developed questionnaire was prepared using Google Docs survey. The questionnaire link was shared with LIS professionals considering purposive sampling technique. The study highlights the main RDMS supporting reasons, needed training areas, best methods to get training, the motivational factors, and possible hindrances while planning and implementing RDMS. This study fills the gap and addresses research data management literature in developing countries’ context, especially Pakistan, and established that RDMS are poorly observed in developing countries and require some drastic steps to be launched and improved. Higher Education Commission/departments, university administrations, and donor agencies take such initiatives that research data should be openly available through repositories and the maximum number of training opportunities should be provided to LIS professionals.

scholarly journals Data Management Plans A Review

2019 ◽  
Vol 39 (06) ◽  
pp. 322-328
Author(s):  
Cynthia Hudson Vitale ◽  
Heather Moulaison Sandy
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Thematic Analysis ◽  
Text Analysis ◽  
Information Science ◽  
Review Paper ◽  
Scholarly Communication ◽  
Field Research ◽  
Research Data ◽  
Management Plans

With increasing world-wide emphasis on providing access to research data, data management plans (DMPs) have emerged as the expected way for researchers to formalise and communicate their intentions to stakeholders, including to their funders. This review paper focuses on a thematic analysis and presentation of empirical research on DMPs, a literature that is surprisingly limited, likely due to the young age of the field. Research shows that, despite the benefits associated with data sharing, DMPs have potential that is not being realised to the fullest. Researchers in scholarly communication and information science primarily have evaluated DMPs using text analysis methodologies, often supplementing them with surveys or interviews. Future study, especially in areas of machine-actionable DMPs is promising; such research is needed to further explore how DMPs can best be utilised to support data sharing.

scholarly journals VARIABILITY IN CLINICAL RESEARCH DATA MANAGEMENT PRACTICES: LESSONS FROM THE MALARIA COMMUNITY

2017 ◽  
Vol 2 (Suppl 2) ◽  
pp. A19.1-A19
Author(s):  
Amélie Julé ◽  
Hazel Ashurst ◽  
Laura Merson ◽  
Piero Olliaro ◽  
Vicki Marsh ◽  
...  
Keyword(s):  
Clinical Research ◽  
Data Management ◽  
Management Practices ◽  
Research Data ◽  
Research Data Management ◽  
Clinical Research Data

scholarly journals Perceptions and Attitudes toward Data Sharing among Dental Researchers

2018 ◽  
Vol 4 (1) ◽  
pp. 68-75 ◽  
Author(s):  
H. Spallek ◽  
S.M. Weinberg ◽  
M. Manz ◽  
S. Nanayakkara ◽  
X. Zhou ◽  
...  
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
International Association ◽  
Improve Patient Care ◽  
Research Data ◽  
Research Subjects ◽  
Data Repositories ◽  
Use Of Data ◽  
Share Data ◽  
Past Experiences

Introduction: Increasing attention is being given to the roles of data management and data sharing in the advancement of research. This study was undertaken to explore opinions and past experiences of established dental researchers as related to data sharing and data management. Methods: Researchers were recruited from the International Association for Dental Research scientific groups to complete a survey consisting of Likert-type, multiple-choice, and open-ended questions. Results: All 42 respondents indicated that data sharing should be promoted and facilitated, but many indicated reservations or concerns about the proper use of data and the protection of research subjects. Many had used data from data repositories and received requests for data originating from their studies. Opinions varied regarding restrictions such as requirements to share data and the time limits of investigator rights to keep data. Respondents also varied in their methods of data management and storage, with younger respondents and those with higher direct costs of their research tending to use dedicated experts to manage their data. Discussion: The expressed respondent support for research data sharing, with the noted concerns, complements the idea of developing managed data clearinghouses capable of promoting, managing, and overseeing the data-sharing process. Knowledge Transfer Statement: Researchers can use the results of this study to evaluate and improve management and sharing of research data. By encouraging and facilitating the data-sharing process, research can advance more efficiently, and research findings can be implemented into practice more rapidly to improve patient care and the overall oral health of populations.

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 A Report of Data-Intensive Capability, Institutional Support, and Data Management Practices in Social Sciences

2016 ◽  
Vol 11 (1) ◽  
pp. 156 ◽  
Author(s):  
Wei Jeng ◽  
Liz Lyon
Keyword(s):  
Social Sciences ◽  
Data Management ◽  
Data Science ◽  
Management Practices ◽  
Information Science ◽  
Institutional Support ◽  
Current Data ◽  
Management Support ◽  
Model Framework ◽  
Data Intensive

We report on a case study which examines the social science community’s capability and institutional support for data management. Fourteen researchers were invited for an in-depth qualitative survey between June 2014 and October 2015. We modify and adopt the Community Capability Model Framework (CCMF) profile tool to ask these scholars to self-assess their current data practices and whether their academic environment provides enough supportive infrastructure for data related activities. The exemplar disciplines in this report include anthropology, political sciences, and library and information science. Our findings deepen our understanding of social disciplines and identify capabilities that are well developed and those that are poorly developed. The participants reported that their institutions have made relatively slow progress on economic supports and data science training courses, but acknowledged that they are well informed and trained for participants’ privacy protection. The result confirms a prior observation from previous literature that social scientists are concerned with ethical perspectives but lack technical training and support. The results also demonstrate intra- and inter-disciplinary commonalities and differences in researcher perceptions of data-intensive capability, and highlight potential opportunities for the development and delivery of new and impactful research data management support services to social sciences researchers and faculty. 

Sign in / Sign up

Export Citation Format

Share Document