Archives des mots-clés : data sharing

Willingness to Share Research Data Is Related to…

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Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results :

“Background : The widespread reluctance to share published research data is often hypothesized to be due to the authors’ fear that reanalysis may expose errors in their work or may produce conclusions that contradict their own. However, these hypotheses have not previously been studied systematically.

Methods and Findings : We related the reluctance to share research data for reanalysis to 1148 statistically significant results reported in 49 papers published in two major psychology journals. We found the reluctance to share data to be associated with weaker evidence (against the null hypothesis of no effect) and a higher prevalence of apparent errors in the reporting of statistical results. The unwillingness to share data was particularly clear when reporting errors had a bearing on statistical significance.

Conclusions : Our findings on the basis of psychological papers suggest that statistical results are particularly hard to verify when reanalysis is more likely to lead to contrasting conclusions. This highlights the importance of establishing mandatory data archiving policies.”

URL : http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0026828
doi:10.1371/journal.pone.0026828

Sharing and the Creative Economy Culture in the…

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Sharing and the Creative Economy: Culture in the Internet Age :

“In the past fifteen years, file sharing of digital cultural works between individuals has been at the center of a number of debates on the future of culture itself. To some, sharing constitutes piracy, to be fought against and eradicated. Others see it as unavoidable, and table proposals to compensate for its harmful effects. Meanwhile, little progress has been made towards addressing the real challenges facing culture in a digital world. Sharing starts from a radically different viewpoint, namely that the non-market sharing of digital works is both legitimate and useful. It supports this premise with empirical research, demonstrating that non-market sharing leads to more diversity in the attention given to various works. Taking stock of what we have learnt about the cultural economy in recent years, Sharing sets out the conditions necessary for valuable cultural functions to remain sustainable in this context.”
URL : http://paigrain.debatpublic.net/docs/internet_creation_1-3.pdf
URL : http://www.amazon.com/Sharing-Culture-Economy-Internet-Age/dp/9089643850

Creative Commons licenses and the non-commercial condition: Implications for the re-use of biodiversity information

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The Creative Commons (CC) licenses are a suite of copyright-based licenses defining terms for the distribution and re-use of creative works. CC provides licenses for different use cases and includes open content licenses such as the Attribution license (CC BY, used by many Open Access scientific publishers) and the Attribution Share Alike license (CC BY-SA, used by Wikipedia, for example). However, the license suite also contains non-free and non-open licenses like those containing a “non-commercial” (NC) condition.

Although many people identify “non-commercial” with “non-profit”, detailed analysis reveals that significant differences exist and that the license may impose some unexpected re-use limitations on works thus licensed. After providing background information on the concepts of Creative Commons licenses in general, this contribution focuses on the NC condition, its advantages, disadvantages and appropriate scope. Specifically, it contributes material towards a risk analysis for potential re-users of NC-licensed works.

URL : http://zookeys.pensoft.net/articles.php?id=3036

doi: 10.3897/zookeys.150.2189

Linking to Data Effect on Citation Rates in…

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Linking to Data – Effect on Citation Rates in Astronomy :

“Is there a difference in citation rates between articles that were published with links to data and articles that were not? Besides being interesting from a purely academic point of view, this question is also highly relevant for the process of furthering science. Data sharing not only helps the process of verification of claims, but also the discovery of new findings in archival data. However, linking to data still is a far cry away from being a “practice”, especially where it comes to authors providing these links during the writing and submission process. You need to have both a willingness and a publication mechanism in order to create such a practice. Showing that articles with links to data get higher citation rates might increase the willingness of scientists to take the extra steps of linking data sources to their publications. In this presentation we will show this is indeed the case: articles with links to data result in higher citation rates than articles without such links. The ADS is funded by NASA Grant NNX09AB39G.”

URL : http://arxiv.org/abs/1111.3618

Report on Integration of Data and Publications …

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Report on Integration of Data and Publications :

“Scholarly communication is the foundation of modern research where empirical evidence is interpreted and communicated as published hypothesis driven research. Many current and recent reports highlight the impact of advancing technology on modern research and consequences this has on scholarly communication. As part of the ODE project this report sought to coalesce current though and opinions from numerous and diverse sources to reveal opportunities for supporting a more connected and integrated scholarly record. Four perspectives were considered, those of the Researcher who generates or reuses primary data, Publishers who provide the mechanisms to communicate research activities and Libraries & Data enters who maintain and preserve the evidence that underpins scholarly communication and the published record. This report finds the landscape fragmented and complex where competing interests can sometimes confuse and confound requirements, needs and expectations. Equally the report identifies clear opportunity for all stakeholders to directly enable a more joined up and vital scholarly record of modern research.”

URL : http://www.libereurope.eu/sites/default/files/ODE-ReportOnIntegrationOfDataAndPublication.pdf

Who Shares Who Doesn’t Factors Associated with Openly…

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Who Shares? Who Doesn’t? Factors Associated with Openly Archiving Raw Research Data :

“Many initiatives encourage investigators to share their raw datasets in hopes of increasing research efficiency and quality. Despite these investments of time and money, we do not have a firm grasp of who openly shares raw research data, who doesn’t, and which initiatives are correlated with high rates of data sharing. In this analysis I use bibliometric methods to identify patterns in the frequency with which investigators openly archive their raw gene expression microarray datasets after study publication.

Automated methods identified 11,603 articles published between 2000 and 2009 that describe the creation of gene expression microarray data. Associated datasets in best-practice repositories were found for 25% of these articles, increasing from less than 5% in 2001 to 30%–35% in 2007–2009. Accounting for sensitivity of the automated methods, approximately 45% of recent gene expression studies made their data publicly available.

First-order factor analysis on 124 diverse bibliometric attributes of the data creation articles revealed 15 factors describing authorship, funding, institution, publication, and domain environments. In multivariate regression, authors were most likely to share data if they had prior experience sharing or reusing data, if their study was published in an open access journal or a journal with a relatively strong data sharing policy, or if the study was funded by a large number of NIH grants. Authors of studies on cancer and human subjects were least likely to make their datasets available.

These results suggest research data sharing levels are still low and increasing only slowly, and data is least available in areas where it could make the biggest impact. Let’s learn from those with high rates of sharing to embrace the full potential of our research output.”

URL : http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0018657

DataStaR A Data Sharing and Publication Infrastructure to…

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DataStaR: A Data Sharing and Publication Infrastructure to Support Research :

“DataStaR, a Data Staging Repository (http://datastar.mannlib.cornell.edu/) in development at Cornell University’s Albert R. Mann Library (Ithaca, New York USA), is intended to support collaboration and data sharing among researchers during the research process, and to promote publishing or archiving data and high-quality metadata to discipline-specific data centers and/or institutional repositories. Researchers may store and share data with selected colleagues, select a repository for data publication, create high quality metadata in the formats required by external repositories and Cornell’s institutional repository, and obtain help from data librarians with any of these tasks. To facilitate cross-domain interoperability and flexibility in metadata management, we employ semantic web technologies as part of DataStaR’s metadata infrastructure. This paper describes the overall design of the system, the work to date with Cornell researchers and their data sets, and possibilities for extending DataStaR for use in international agriculture research..

URL : http://journals.sfu.ca/iaald/index.php/aginfo/article/view/199