Archives des mots-clés : data publication

The Research Data Alliance: globally co-ordinated action against barriers to data publishing and sharing

Statut

“This article discusses the drivers behind the formation of the Research Data Alliance (RDA), its current state, the lessons learned from its first full year of operation, and its anticipated impact on data publishing and sharing. One of the pressing challenges in data infrastructure (taken here to include issues relating to hardware, software and content format, as well as human actors) is how best to enable data interoperability across boundaries. This is particularly critical as the world deals with bigger and more complex problems that require data and insights from a range of disciplines. The RDA has been set up to enable more data to be shared across barriers to address these challenges. It does this through focused Working Groups and Interest Groups, formed of experts from around the world, and drawing from the academic, industry, and government sectors.”

URL : http://dx.doi.org/10.1087/20140503

Peer-Reviewed Open Research Data: Results of a Pilot

Posté le par

Peer review of publications is at the core of science and primarily seen as instrument for ensuring research quality. However, it is less common to independently value the quality of the underlying data as well.

In the light of the ‘data deluge’ it makes sense to extend peer review to the data itself and this way evaluate the degree to which the data are fit for re-use. This paper describes a pilot study at EASY – the electronic archive for (open) research data at our institution.

In EASY, researchers can archive their data and add metadata themselves. Devoted to open access and data sharing, at the archive we are interested in further enriching these metadata with peer reviews.

As a pilot, we established a workflow where researchers who have downloaded data sets from the archive were asked to review the downloaded data set. This paper describes the details of the pilot including the findings, both quantitative and qualitative.

Finally, we discuss issues that need to be solved when such a pilot is turned into a structural peer review functionality for the archiving system.

URL : http://www.ijdc.net/index.php/ijdc/article/view/231

Citation and Peer Review of Data Moving Towards…

Posté le par

Citation and Peer Review of Data: Moving Towards Formal Data Publication

“This paper discusses many of the issues associated with formally publishing data in academia, focusing primarily on the structures that need to be put in place for peer review and formal citation of datasets. Data publication is becoming increasingly important to the scientific community, as it will provide a mechanism for those who create data to receive academic credit for their work and will allow the conclusions arising from an analysis to be more readily verifiable, thus promoting transparency in the scientific process. Peer review of data will also provide a mechanism for ensuring the quality of datasets, and we provide suggestions on the types of activities one expects to see in the peer review of data. A simple taxonomy of data publication methodologies is presented and evaluated, and the paper concludes with a discussion of dataset granularity, transience and semantics, along with a recommended human-readable citation syntax.”

URL : http://www.ijdc.net/index.php/ijdc/article/view/181

DataStaR A Data Sharing and Publication Infrastructure to…

Posté le par

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

IISH Guidelines for preserving research …

Posté le par

IISH Guidelines for preserving research data: a framework for preserving collaborative data collections for future research :

“Our guidelines highlight the iterative process of data collection, data processing, data analysis and publication of (interim) research results. The iterative process is best analyzed and illustrated by following the dynamics of data collection in online collaboratories. The production of data sets in such large scale data collection projects, typically takes a lot of time, whilst in the meantime research may already be performed on data sub-sets. If this leads to a publication a proper citation is required. Publishers and readers need to know exactly in what stage of the data collection process specific conclusions on these data were drawn. During this iterative process, research data need to be maintained, managed and disseminated in different forms and versions during the successive stages of the work carried out, in order to validate the outcomes and research results. These practices drive the requirements for data archiving and show that data archiving is not a once off data transfer transaction or even a linear process. Therefore from the perspective of the research process, we recommend the interconnection and interfacing between data collection and data archiving, in order to ensure the most effective and loss-less preservation of the research data.”

URL : http://www.surffoundation.nl/nl/themas/openonderzoek/cris/Documents/SURFshare_Collectioneren_Guidelines_IISH_DEF.pdf