Content analysis of Journal articles on Wiki in Science Direct Database

The study aims for analyzing the contents of articles on wiki that were published in the journals of science direct database, to find out the methods of research used, type of data analysis techniques used for wiki articles, most productive country contributing highest number of articles, highest contributing author, year wise publication, authors subject background etc.

Out of total 142 hits, from Science Direct database, the articles without having abstract and full text were excluded from the study and a total of 89 numbers of articles were analyzed. The study reveals that Majority of the articles on wiki are research articles and used Survey method. Again descriptive data analysis seemed to be the favored method used in majority of articles.

Germany and USA are the most productive country contributing majority of articles on wiki and majority of the authors contributing the articles on wiki are from Computer science background.

URL : http://digitalcommons.unl.edu/libphilprac/1331/

Qu’est-ce que la Text Encoding Initiative ?

Les Guidelines de la Text Encoding Initiative (TEI) sont depuis longtemps considérées comme le standard de fait pour la préparation de ressources textuelles numériques dans la communauté académique. Elles offrent au débutant un éventail de possibilités qui peut paraître intimidant, mais qui reflète l’impressionnante étendue des applications possibles pour l’encodage de texte, depuis les éditions critiques traditionnelles jusqu’aux corpus linguistiques, aux lexiques historiques, aux archives numériques et au-delà.

Utilisant de nombreux exemples de textes encodés en TEI issus de domaines variés, ce livre simple et direct est destiné à aider le débutant à faire ses propres choix parmi les multiples options offertes par la TEI. Il explique la technologie XML utilisée par la TEI d’une manière accessible au lecteur dépourvu de formation technique, et offre une visite guidée des dédales de l’univers de la TEI, et de la façon dont elle peut être personnalisée pour répondre aux besoins d’un projet particulier.

URL : http://books.openedition.org/oep/1237

How do scientists perceive the current publication culture? A qualitative focus group interview study among Dutch biomedical researchers

Design

Qualitative focus group interview study.

Setting

Four university medical centres in the Netherlands.

Participants

Three randomly selected groups of biomedical scientists (PhD, postdoctoral staff members and full professors).

Main outcome measures

Main themes for discussion were selected by participants.

Results

Frequently perceived detrimental effects of contemporary publication culture were the strong focus on citation measures (like the Journal Impact Factor and the H-index), gift and ghost authorships and the order of authors, the peer review process, competition, the funding system and publication bias. These themes were generally associated with detrimental and undesirable effects on publication practices and on the validity of reported results.

Furthermore, senior scientists tended to display a more cynical perception of the publication culture than their junior colleagues. However, even among the PhD students and the postdoctoral fellows, the sentiment was quite negative. Positive perceptions of specific features of contemporary scientific and publication culture were rare.

Conclusions

Our findings suggest that the current publication culture leads to negative sentiments, counterproductive stress levels and, most importantly, to questionable research practices among junior and senior biomedical scientists.

URL : How do scientists perceive the current publication culture? A qualitative focus group interview study among Dutch biomedical researchers

Alternative location : http://bmjopen.bmj.com/content/6/2/e008681.full

Communicating the Open Access Message: A Case Study from Ireland

Since 2009, Open Access (OA) Week has been celebrated worldwide in October each year. It is an opportunity for librarians to engage with the research community, and demonstrate the value that they bring to their organisations in the area of disseminating scholarly output. Although thousands of events have been held since the inception of OA Week, little research has been carried out into the impact of these events.

The article presents a review of the literature on OA Week and evaluates the effectiveness of three events held during OA Week 2015 in Ireland through the use of statistics and a survey. The three events held during OA Week 2015 in Ireland that were evaluated include: a seminar run by Repository Network Ireland (RNI), a D.E.A.R. (Drop Everything And Read) campaign using OA materials organised by Dr. Steevens’ Library and a collaborative OA seminar between Dr. Steevens’ Library and Dublin Institute of Technology (DIT) libraries.

The author concludes that a collaborative approach to planning and managing OA week between librarians from academic and other sectors can have tangible benefits both in terms of promoting OA and also promoting the role of the Librarian in the OA movement.

URL : http://hdl.handle.net/10147/596552

Open Source Archaeology: Ethics and Practice

‘Open Source Archaeology: Ethics and Practice’ brings together authors and researchers in the field of open-source archaeology, defined as encompassing the ethical imperative for open public access to the results of publicly-funded research; practical solutions to open-data projects; open-source software applications in archaeology; public information sharing projects in archaeology; open-GIS; and the open-context system of data management and sharing.

This edited volume is designed to discuss important issues around open access to data and software in academic and commercial archaeology, as well as to summarise both the current state of theoretical engagement, and technological development in the field of open-archaeology.

URL : http://www.degruyter.com/view/product/460080

Open Access Meets Discoverability: Citations to Articles Posted to Academia.edu

Using matching and regression analyses, we measure the difference in citations between articles posted to Academia.edu and other articles from similar journals, controlling for field, impact factor, and other variables. Based on a sample size of 31,216 papers, we find that a paper in a median impact factor journal uploaded to Academia.edu receives 16% more citations after one year than a similar article not available online, 51% more citations after three years, and 69% after five years. We also found that articles also posted to Academia.edu had 58% more citations than articles only posted to other online venues, such as personal and departmental home pages, after five years.

URL : Open Access Meets Discoverability: Citations to Articles Posted to Academia.edu

DOI : 10.1371/journal.pone.0148257

Research data explored: an extended analysis of citations and altmetrics

In this study, we explore the citedness of research data, its distribution over time and its relation to the availability of a digital object identifier (DOI) in the Thomson Reuters database Data Citation Index (DCI).

We investigate if cited research data “impacts” the (social) web, reflected by altmetrics scores, and if there is any relationship between the number of citations and the sum of altmetrics scores from various social media platforms.

Three tools are used to collect altmetrics scores, namely PlumX, ImpactStory, and Altmetric.com, and the corresponding results are compared. We found that out of the three altmetrics tools, PlumX has the best coverage. Our experiments revealed that research data remain mostly uncited (about 85 %), although there has been an increase in citing data sets published since 2008.

The percentage of the number of cited research data with a DOI in DCI has decreased in the last years. Only nine repositories are responsible for research data with DOIs and two or more citations. The number of cited research data with altmetrics “foot-prints” is even lower (4–9 %) but shows a higher coverage of research data from the last decade. In our study, we also found no correlation between the number of citations and the total number of altmetrics scores.

Yet, certain data types (i.e. survey, aggregate data, and sequence data) are more often cited and also receive higher altmetrics scores. Additionally, we performed citation and altmetric analyses of all research data published between 2011 and 2013 in four different disciplines covered by the DCI.

In general, these results correspond very well with the ones obtained for research data cited at least twice and also show low numbers in citations and in altmetrics. Finally, we observed that there are disciplinary differences in the availability and extent of altmetrics scores.

URL : http://link.springer.com/article/10.1007/s11192-016-1887-4