scholarly journals 11,000 researchers gave their views on data sharing, here's what we learned

2019 ◽  
Author(s):  
Mithu Lucraft ◽  
Samuel Winthrop
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Market Research ◽  
Open Data ◽  
White Paper ◽  
Research Community ◽  
Data Publishing ◽  
Training And Education ◽  
Collaborative Action ◽  
Share Data

Good data sharing can make research more productive, more likely to be cited, and unlock innovation for the good of society. In 2019, a Springer Nature white paper (Lucraft et al. 2019), based on surveys with more than 11,000 researchers internationally, set out key challenges in data management and data sharing. We found: Data sharing is increasing: more than 64% of researchers in a 2018 survey said they made their data openly available. The majority of researchers see data sharing as important: across three surveys, when asked about the importance of making data discoverable, researchers gave an average rating of 7.5 out of 10. Data sharing and planning is currently suboptimal: The majority of the research community are not yet managing or sharing data in ways that make it findable, accessible or reusable. Increasingly, funders and other expert groups (European Commission 2018) are emphasising the need for data that is FAIR (findable, accessible, interoperable and re-useable). To shift the needle on data sharing and to reap the benefits from more widely-available open data, collaborative action is required. In this presentation, we will discuss the five measures we believe are needed to make data sharing the norm: Clear policy: from funders, institutions, journals/publishers, and research communities themselves. Better credit: to make data sharing worth a researcher’s time. Explicit funding: for data management and data sharing, as well as data publishing. Practical help: for organising data, finding appropriate repositories, and provision of faster, easier routes to share data. Training and education: to answer common questions from researchers on data sharing and to help build skills and knowledge. We will draw on evidence and case studies from across Europe and beyond, as well as further feedback from our market research.

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 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.

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 Journal Data Sharing Policies and Statistical Reporting Inconsistencies in Psychology

2017 ◽  
Author(s):  
Michele B. Nuijten ◽  
Jeroen Borghuis ◽  
Coosje Lisabet Sterre Veldkamp ◽  
Linda Dominguez Alvarez ◽  
Marcel A. L. M. van Assen ◽  
...  
Keyword(s):  
Decision Making ◽  
Data Sharing ◽  
Observational Studies ◽  
Statistical Significance ◽  
Open Data ◽  
Psychological Science ◽  
Statistical Errors ◽  
Share Data ◽  
Journal Policies

In this paper, we present three retrospective observational studies that investigate the relation between data sharing and statistical reporting inconsistencies. Previous research found that reluctance to share data was related to a higher prevalence of statistical errors, often in the direction of statistical significance (Wicherts, Bakker, & Molenaar, 2011). We therefore hypothesized that journal policies about data sharing and data sharing itself would reduce these inconsistencies. In Study 1, we compared the prevalence of reporting inconsistencies in two similar journals on decision making with different data sharing policies. In Study 2, we compared reporting inconsistencies in psychology articles published in PLOS journals (with a data sharing policy) and Frontiers in Psychology (without a stipulated data sharing policy). In Study 3, we looked at papers published in the journal Psychological Science to check whether papers with or without an Open Practice Badge differed in the prevalence of reporting errors. Overall, we found no relationship between data sharing and reporting inconsistencies. We did find that journal policies on data sharing are extremely effective in promoting data sharing. We argue that open data is essential in improving the quality of psychological science, and we discuss ways to detect and reduce reporting inconsistencies in the literature.

scholarly journals Open Data in Scientific Communication

2018 ◽  
Vol 60 (3) ◽  
pp. 192-198
Author(s):  
Dorota Grygoruk
Keyword(s):  
Information Technology ◽  
Open Access ◽  
Data Management ◽  
Data Sharing ◽  
Open Data ◽  
Scientific Communication ◽  
Scientific Data ◽  
Scientific Publications ◽  
Management Policies ◽  
Access Model

Abstract The development of information technology makes it possible to collect and analyse more and more data resources. The results of research, regardless of the discipline, constitute one of main sources of data. Currently, the research results are increasingly being published in the Open Access model. The Open Access concept has been accepted and recommended worldwide by many institutions financing and implementing research. Initially, the idea of openness concerned only the results of research and scientific publications; at present, more attention is paid to the problem of sharing scientific data, including raw data. Proceedings towards open data are intricate, as data specificity requires the development of an appropriate legal, technical and organizational model, followed by the implementation of data management policies at both the institutional and national levels. The aim of this publication was to present the development of the open data concept in the context of open access idea and problems related to defining data in the process of data sharing and data management.

scholarly journals Open data repositories: Current risks and opportunities

2020 ◽  
Vol 81 (2) ◽  
pp. 62
Author(s):  
Abigail Goben ◽  
Robert J. Sandusky
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Open Data ◽  
Management Consulting ◽  
Academic Institutions ◽  
Data Repositories ◽  
Professional Societies ◽  
Funding Agencies ◽  
Academic Researchers

As data sharing has become a more familiar obligation for academic researchers, there has been a correlating increase in the roles that librarians play supporting open data repositories and providing data management consulting and services. These repositories are sponsored by governments, funding agencies, academic institutions, professional societies, and scholarly publishers.

scholarly journals Ensuring the success of data sharing in Canada

FACETS ◽  
2021 ◽  
Vol 6 ◽  
pp. 1534-1538
Author(s):  
David Moher ◽  
Kelly D. Cobey
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Career Advancement ◽  
Research Data ◽  
Audit And Feedback ◽  
Management Policy ◽  
Training And Education ◽  
Canadian Universities ◽  
Research Data Management ◽  
Strategic Plans

The Canadian federal Tri-Agency Research Data Management Policy has recently been released. This will require Canadian universities and other research institutes to create and share strategic plans regarding data management and to equip their researchers with skills to complete data deposits. To help maximize the success of data sharing we outline five domains for research institutions to consider during implementation: training and education, paying for data sharing, audit and feedback, meta-science, and career advancement.

Research Data Sharing and Reuse Through Open Data

2021 ◽  
pp. 284-306
Author(s):  
Abel Christopher M'kulama ◽  
Akakandelwa Akakandelwa
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Data Storage ◽  
Mixed Methods Research ◽  
Open Data ◽  
Research Process ◽  
Research Data ◽  
Research Data Management ◽  
Inadequate Knowledge ◽  
Self Administered Questionnaire

Research data management is considered a critical step in the research process among researchers. Researchers are required to submit RDM plans with details about data storage, data sharing, and reuse procedures when submitting research proposals for grants. This chapter presents findings of an investigation into the perceptions and practices of ZARI researchers towards research data management. Mixed methods research using a self-administered questionnaire was adopted for data collection. Fifty-one researchers were sampled and recruited for participation into the study. The study established that the majority of the researchers were not depositing their research data in central repositories; data was kept on individual's devices and was therefore not readily available for sharing. The major challenges being faced by researchers included lack of a policy, lack of a repository, and inadequate knowledge in RDM. The study concludes that research data at ZARI was not being professionally managed. The study recommends for formulation of policies, establishment of repository and staff training.

scholarly journals CROSS-BORDER OPEN DATA SHARING: GIOCONDA PROJECT

2019 ◽  
Vol XLII-4/W14 ◽  
pp. 233-238
Author(s):  
J. F. Toro ◽  
D. Carrion ◽  
A. Albertella ◽  
M. A. Brovelli
Keyword(s):  
Best Practices ◽  
Data Sharing ◽  
Spatial Information ◽  
Open Data ◽  
Data Publishing ◽  
Economic Activities ◽  
The Public ◽  
Cross Border ◽  
Open Government Data ◽  
Government Data

<p><strong>Abstract.</strong> Open Data, and Open Government Data, are proving to be an important resource for the economic development inside the domain where information has a key role (Carrara et al., 2015). Although, different practices for data publishing have led to misalignment, underuse and repetition of information (Bizer et al., 2011). For this reason, the Public Administrations have undergone efforts on integrating the information and promoting interoperability through the implementation of best practices, as for example, the use of a common semantics vocabulary for the metadata (DCAT) as proposed by the ISA2 programme of the European Commission. The Interreg Italy-Switzerland GIOCOnDA project has been proposed for enhancing the data sharing processes in the cross-border area, particularly addressing tourism and mobility that are key economic activities for the region. For this work, a review on the data catalogues published in dati.lombardia.it and opendata.swiss is presented. The revision of the datasets showed the need for: 1) defining common semantics for the description of the categories of data to avoid the arbitrary use of vocabularies, and 2) adopting standards for the description of geodata. On the other hand, it was observed the potential to gather existing information to produce geodata querying the datasets with specific keywords that can provide spatial information. Open data, as well as the use of best practices for publishing data, push towards the use of FOSS. In this work, Python has been exploited to analyse the content of the catalogues to access web portals resources.</p>

scholarly journals From data sharing to data publishing

2019 ◽  
Vol 2 ◽  
pp. 1 ◽  
Author(s):  
Jean-Baptiste Poline
Keyword(s):  
Data Sharing ◽  
Cultural Context ◽  
Life Science ◽  
Science Research ◽  
Research Community ◽  
Data Publishing ◽  
Life Science Research

Data sharing, i.e. depositing data in research community accessible repositories, is not becoming as rapidly widespread across the life science research community as hoped or expected. I consider the sociological and cultural context of research and lay out why the community should instead move to data publishing with a focus on neuroscience data, and outline practical steps that can be taken to realize this goal.

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