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Scientific data from and for the citizen

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Authors : Sven Schade, Chrisa Tsinaraki, Elena Roglia

Powered by advances of technology, today’s Citizen Science projects cover a wide range of thematic areas and are carried out from local to global levels. This wealth of activities creates an abundance of data, for example, in the forms of observations submitted by mobile phones; readings of low-cost sensors; or more general information about peoples’ activities.

The management and possible sharing of this data has become a research topic in its own right. We conducted a survey in the summer of 2015 in order to collectively analyze the state of play in Citizen Science.

This paper summarizes our main findings related to data access, standardization and data preservation. We provide examples of good practices in each of these areas and outline actions to address identified challenges.

URL : http://firstmonday.org/ojs/index.php/fm/article/view/7842

Practicing What You Preach: Evaluating Access of Open Access Research

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Author : Teresa Schultz

The open access movement seeks to encourage all researchers to make their works openly available and free of paywalls so more people can access their knowledge. Yet some researchers who study open access (OA) continue to publish their work in paywalled journals and fail to make it open.

This project set out to study just how many published research articles about OA fall into this category, how many are being made open (whether by being published in a gold OA or hybrid journal or through open deposit), and how library and information science authors compare to other disciplines researching this field.

Because of the growth of tools available to help researchers find open versions of articles, this study also sought to compare how these new tools compare to Google Scholar in their ability to disseminating OA research.

From a sample collected from Web of Science of articles published since 2010, the study found that although a majority of research articles about OA are open in some form, a little more than a quarter are not.

A smaller rate of library science researchers made their work open compared to non-library science researchers. In looking at the copyright of these articles published in hybrid and open journals, authors were more likely to retain copyright ownership if they printed in an open journal compared to authors in hybrid journals.

Articles were more likely to be published with a Creative Commons license if published in an open journal compared to those published in hybrid journals.

URL : Practicing What You Preach: Evaluating Access of Open Access Research

DOI : https://dx.doi.org/10.17605/OSF.IO/YBDR8

 

Extracting Core Claims from Scientific Articles

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Authors : Tom Jansen, Tobias Kuhn

The number of scientific articles has grown rapidly over the years and there are no signs that this growth will slow down in the near future. Because of this, it becomes increasingly difficult to keep up with the latest developments in a scientific field.

To address this problem, we present here an approach to help researchers learn about the latest developments and findings by extracting in a normalized form core claims from scientific articles.

This normalized representation is a controlled natural language of English sentences called AIDA, which has been proposed in previous work as a method to formally structure and organize scientific findings and discourse.

We show how such AIDA sentences can be automatically extracted by detecting the core claim of an article, checking for AIDA compliance, and – if necessary – transforming it into a compliant sentence.

While our algorithm is still far from perfect, our results indicate that the different steps are feasible and they support the claim that AIDA sentences might be a promising approach to improve scientific communication in the future.

URL : https://arxiv.org/abs/1707.07678

Against capital

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Author : Stuart Lawson

The ways in which scholars exchange and share their work have evolved through pragmatic responses to the political and economic contexts in which they are embedded.

So rather than being designed to fulfil their function in an optimal way, our methods of scholarly communication have been distorted by the interests of capital and by neoliberal logic.

If these two interlinked political forces – that suffuse all aspects of our lives – are the reason for the mess we are currently in, then surely any alternative scholarly communication system we create should be working against them, not with them. The influence of capital in scholarly publishing, and the overwhelming force of neoliberalism in our working practices, is the problem.

So when the new ‘innovative disrupters’ are fully aligned with the political forces that need to be dismantled, it is questionable that the new way of doing things is a significant improvement.

URL : http://stuartlawson.org/2017/07/against-capital/

 

A multi-disciplinary perspective on emergent and future innovations in peer review

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Authors : Jonathan P. Tennant, Jonathan M. Dugan, Daniel Graziotin, Damien C. Jacques, François Waldner, Daniel Mietchen, Yehia Elkhatib, Lauren B. Collister, Christina K. Pikas, Tom Crick, Paola Masuzzo, Anthony Caravaggi, Devin R. Berg, Kyle E. Niemeyer, Tony Ross-Hellauer, Sara Mannheimer, Lillian Rigling, Daniel S. Kat, Bastian Greshake Tzovaras, Josmel Pacheco-Mendoza, Nazeefa Fatima, Marta Poblet, Marios Isaakidis, Dasapta Erwin Irawan, Sébastien Renaut, Christopher R. Madan, Lisa Matthias, Jesper Nørgaard Kjær, Daniel Paul O’Donnell, Cameron Neylon, Sarah Kearns, Manojkumar Selvaraju, Julien Colomb

Peer review of research articles is a core part of our scholarly communication system. In spite of its importance, the status and purpose of peer review is often contested. What is its role in our modern digital research and communications infrastructure?

Does it perform to the high standards with which it is generally regarded? Studies of peer review have shown that it is prone to bias and abuse in numerous dimensions, frequently unreliable, and can fail to detect even fraudulent research.

With the advent of Web technologies, we are now witnessing a phase of innovation and experimentation in our approaches to peer review. These developments prompted us to examine emerging models of peer review from a range of disciplines and venues, and to ask how they might address some of the issues with our current systems of peer review.

We examine the functionality of a range of social Web platforms, and compare these with the traits underlying a viable peer review system: quality control, quantified performance metrics as engagement incentives, and certification and reputation.

Ideally, any new systems will demonstrate that they out-perform current models while avoiding as many of the biases of existing systems as possible. We conclude that there is considerable scope for new peer review initiatives to be developed, each with their own potential issues and advantages.

We also propose a novel hybrid platform model that, at least partially, resolves many of the technical and social issues associated with peer review, and can potentially disrupt the entire scholarly communication system.

Success for any such development relies on reaching a critical threshold of research community engagement with both the process and the platform, and therefore cannot be achieved without a significant change of incentives in research environments.

URL : A multi-disciplinary perspective on emergent and future innovations in peer review

DOI : http://dx.doi.org/10.12688/f1000research.12037.1

 

Searching Data: A Review of Observational Data Retrieval Practices

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Authors : Kathleen Gregory, Paul Groth, Helena Cousijn, Andrea Scharnhorst, Sally Wyatt

A cross-disciplinary examination of the user behaviours involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data.

Two analytical frameworks rooted in information retrieval and science technology studies are used to identify key similarities in practices as a first step toward developing a model describing data retrieval.

URL : https://arxiv.org/abs/1707.06937