Catégorie : EN

Catégories
EN

Introducing Massively Open Online Papers (MOOPs)

Authors: Jonathan P. Tennant, Natalia Bielczyk, Bastian Greshake Tzovaras, Paola Masuzzo, Tobias Steiner

An enormous wealth of digital tools now exists for collaborating on scholarly research projects. In particular, it is now possible to collaboratively author research articles in an openly participatory and dynamic format.

Here we describe and provide recommendations for a more open process of digital collaboration, and discuss the potential issues and pitfalls that come with managing large and diverse authoring communities.

We summarize our personal experiences in a form of ‘ten simple recommendations’. Typically, these collaborative, online projects lead to the production of what we here introduce as Massively Open Online Papers (MOOPs).

We consider a MOOP to be distinct from a ‘traditional’ collaborative article in that it is defined by an openly participatory process, not bound within the constraints of a predefined contributors list.

This is a method of organised creativity designed for the efficient generation and capture of ideas in order to produce new knowledge. Given the diversity of potential authors and projects that can be brought into this process, we do not expect that these tips will address every possible project.

Rather, these tips are based on our own experiences and will be useful when different groups and communities can uptake different elements into their own workflows.

We believe that creating inclusive, interdisciplinary, and dynamic environments is ultimately good for science, providing a way to exchange knowledge and ideas as a community. We hope that these Recommendations will prove useful for others who might wish to explore this space.

URL : Introducing Massively Open Online Papers (MOOPs)

DOI : http://doi.org/10.5334/kula.63

Catégories
EN Non classé

Open access and research dissemination in Africa

Authors : Katie Wilson, Anthony Kiuna, Richard Lamptey, Susan Veldsman, Lucy Montgomery, Cameron Neylon, Richard Hosking, Karl Huang, Alkim Ozaygen

This paper discusses research undertaken by the Curtin Open Knowledge Initiative (COKI) and participants during and following an Open Knowledge international workshop held in Mauritius in September 2019.

The workshop brought together key experts to explore the role of open knowledge in the creation of equitable and inclusive global knowledge landscapes.

This paper explores the role of open access and institutional repositories in knowledge sharing and the dissemination of research output from higher education and research institutions within the African continent.

The paper reviews the landscape of research output from the African continent; analyses open access research output, overviews of institutional knowledge sharing positions and the dissemination of research output from Ghana, Rwanda, South Africa and Uganda.

URL : https://hal.archives-ouvertes.fr/hal-02544891

Catégories
EN

How Can We Use Social Media Data Related to OA Monographs

Authors : Alkim Ozaygen, Lucy Montgomery, Cameron Neylon, Katie Wilson, RichardHosking, Karl Huang

This paper reports on a study of social media events relating to 28 Open Access (OA) monographs, published between 2014 and 2015. As with citations (Cronin 1981) social media events represent the frozen footprints of the journey that monographs take as they move through digital landscapes.

The study captured mentions of the study-set of monographs via Twitter, Facebook, Wikipedia and online blogs; as well as user ratings on Google Books, Amazon and Goodreads.

Information relating to the ways in which the books were bookmarked and cited was captured via the online reference managing platform Mendeley. The benefits and limitations of different altmetrics approaches to capturing and analyzing this data are discussed.

Practical suggestions for researchers interested in the application of Altmetrics approaches to studies of monographs are also provided.

URL : https://hal.archives-ouvertes.fr/hal-02544911

Catégories
EN

Did awarding badges increase data sharing in BMJ Open? A randomized controlled trial

Authors : Anisa Rowhani-Farid, Adrian Aldcroft, Adrian G. Barnett

Sharing data and code are important components of reproducible research. Data sharing in research is widely discussed in the literature; however, there are no well-established evidence-based incentives that reward data sharing, nor randomized studies that demonstrate the effectiveness of data sharing policies at increasing data sharing.

A simple incentive, such as an Open Data Badge, might provide the change needed to increase data sharing in health and medical research. This study was a parallel group randomized controlled trial (protocol registration: doi:10.17605/OSF.IO/PXWZQ) with two groups, control and intervention, with 80 research articles published in BMJ Open per group, with a total of 160 research articles.

The intervention group received an email offer for an Open Data Badge if they shared their data along with their final publication and the control group received an email with no offer of a badge if they shared their data with their final publication.

The primary outcome was the data sharing rate. Badges did not noticeably motivate researchers who published in BMJ Open to share their data; the odds of awarding badges were nearly equal in the intervention and control groups (odds ratio = 0.9, 95% CI [0.1, 9.0]). Data sharing rates were low in both groups, with just two datasets shared in each of the intervention and control groups.

The global movement towards open science has made significant gains with the development of numerous data sharing policies and tools.

What remains to be established is an effective incentive that motivates researchers to take up such tools to share their data.

URL : Did awarding badges increase data sharing in BMJ Open? A randomized controlled trial

DOI : https://doi.org/10.1098/rsos.191818

Catégories
EN

Faculty knowledge and attitudes regarding predatory open access journals: a needs assessment study

Authors : Stephanie M. Swanberg, Joanna Thielen, Nancy Bulgarelli

Objective

The purpose of predatory open access (OA) journals is primarily to make a profit rather than to disseminate quality, peer-reviewed research.

Publishing in these journals could negatively impact faculty reputation, promotion, and tenure, yet many still choose to do so. Therefore, the authors investigated faculty knowledge and attitudes regarding predatory OA journals.

Methods

A twenty-item questionnaire containing both quantitative and qualitative items was developed and piloted. All university and medical school faculty were invited to participate.

The survey included knowledge questions that assessed respondents’ ability to identify predatory OA journals and attitudinal questions about such journals. Chi-square tests were used to detect differences between university and medical faculty.

Results

A total of 183 faculty completed the survey: 63% were university and 37% were medical faculty. Nearly one-quarter (23%) had not previously heard of the term “predatory OA journal.”

Most (87%) reported feeling very confident or confident in their ability to assess journal quality, but only 60% correctly identified a journal as predatory, when given a journal in their field to assess.

Chi-square tests revealed that university faculty were more likely to correctly identify a predatory OA journal (p=0.0006) and have higher self-reported confidence in assessing journal quality, compared with medical faculty (p=0.0391).

Conclusions

Survey results show that faculty recognize predatory OA journals as a problem. These attitudes plus the knowledge gaps identified in this study will be used to develop targeted educational interventions for faculty in all disciplines at our university.

URL : Faculty knowledge and attitudes regarding predatory open access journals: a needs assessment study

Original location : http://jmla.pitt.edu/ojs/jmla/article/view/849

Catégories
EN

FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units

Authors : Koenraad De Smedt, Dimitris Koureas, Peter Wittenburg

Data science is facing the following major challenges: (1) developing scalable cross-disciplinary capabilities, (2) dealing with the increasing data volumes and their inherent complexity, (3) building tools that help to build trust, (4) creating mechanisms to efficiently operate in the domain of scientific assertions, (5) turning data into actionable knowledge units and (6) promoting data interoperability.

As a way to overcome these challenges, we further develop the proposals by early Internet pioneers for Digital Objects as encapsulations of data and metadata made accessible by persistent identifiers.

In the past decade, this concept was revisited by various groups within the Research Data Alliance and put in the context of the FAIR Guiding Principles for findable, accessible, interoperable and reusable data.

The basic components of a FAIR Digital Object (FDO) as a self-contained, typed, machine-actionable data package are explained. A survey of use cases has indicated the growing interest of research communities in FDO solutions.

We conclude that the FDO concept has the potential to act as the interoperable federative core of a hyperinfrastructure initiative such as the European Open Science Cloud (EOSC).

URL : FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units

Alternative location : https://www.mdpi.com/2304-6775/8/2/21

Catégories
EN

Integration of a National E-Theses Online Service with Institutional Repositories

Authors : Vasily Bunakov, Frances Madden

We present an information resource prototype that was developed by the FREYA project for the integration of a national e-thesis service and institutional repositories supported by a large national laboratory.

The integration allows us to mutually enrich the metadata in the e-thesis service and institutional repositories with new entities and attributes, and can offer novel ways of reasoning over research outcomes that are supported by direct funding and funding-in-kind by large research facilities.

The integrated information resource can be presented as a labeled-property graph for its exploration with a declarative query language and visualizations. We emphasize the role of persistent identifiers (PIDs), including for entities that are currently not necessarily or not consistently assigned PIDs.

URL : Integration of a National E-Theses Online Service with Institutional Repositories

Alternative location : https://www.mdpi.com/2304-6775/8/2/20/htm