Impact of Institutional Repositories’ on Scholarly Practices of Scientists

Authors : Prachi Shukla, Naved Ahmad

Institutional Repositories (IRs) are established mainly to provide access to information resources which are otherwise not easily accessible in digital format. Many institutions across the world and particularly in India have successfully developed their own IRs but have not attempted to assess their importance and impact on the Users.

This study conveys the findings of the survey conducted at research centric CSIR (Council of Scientific and Industrial Research) laboratories of India to determine the scientists’ and research scholars’ preference for publishing their research materials; to measure the impact of IRs on their scholarly practices and to recommend future changes for inviting more participation in an IR.

The study deduced that ‘Peer- Review scholarly Journals’ are preferred medium for publishing research content and ‘Increase in the access to grey literature’ is the most significant impact of IR on respondents.

The findings of this research paper provide insight to the IR managers and administrators of low-deposit and low-usage repositories about the contributors’ apprehensions. The study will also help them to define and adopt policies that will eventually enhance their IRs visibility and impact.


Understanding Data Retrieval Practices: A Social Informatics Perspective

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

Open research data are heralded as having the potential to increase effectiveness, productivity, and reproducibility in science, but little is known about the actual practices involved in data search and retrieval.

The socio-technical problem of locating data for (re)use is often reduced to the technological dimension of designing data search systems. In this article, we explore how a social informatics perspective can help to better analyze the current academic discourse about data retrieval as well as to study user practices and behaviors.

We employ two methods in our analysis – bibliometrics and interviews with data seekers – and conclude with a discussion of the implications of our findings for designing data discovery systems.


Attitudes and norms affecting scientists’ data reuse

Authors : Renata Gonçalves Curty, Kevin Crowston, Alison Specht, Bruce W. Grant, Elizabeth D. Dalton

The value of sharing scientific research data is widely appreciated, but factors that hinder or prompt the reuse of data remain poorly understood. Using the Theory of Reasoned Action, we test the relationship between the beliefs and attitudes of scientists towards data reuse, and their self-reported data reuse behaviour.

To do so, we used existing responses to selected questions from a worldwide survey of scientists developed and administered by the DataONE Usability and Assessment Working Group (thus practicing data reuse ourselves).

Results show that the perceived efficacy and efficiency of data reuse are strong predictors of reuse behaviour, and that the perceived importance of data reuse corresponds to greater reuse. Expressed lack of trust in existing data and perceived norms against data reuse were not found to be major impediments for reuse contrary to our expectations.

We found that reported use of models and remotely-sensed data was associated with greater reuse. The results suggest that data reuse would be encouraged and normalized by demonstration of its value.

We offer some theoretical and practical suggestions that could help to legitimize investment and policies in favor of data sharing.

URL : Attitudes and norms affecting scientists’ data reuse


Scholars on Twitter: who and how many are they?

Authors :  Rodrigo Costas, Jeroen van Honk, Thomas Franssen

In this paper we present a novel methodology for identifying scholars with a Twitter account. By combining bibliometric data from Web of Science and Twitter users identified by we have obtained the largest set of individual scholars matched with Twitter users made so far.

Our methodology consists of a combination of matching algorithms, considering different linguistic elements of both author names and Twitter names; followed by a rule-based scoring system that weights the common occurrence of several elements related with the names, individual elements and activities of both Twitter users and scholars matched.

Our results indicate that about 2% of the overall population of scholars in the Web of Science is active on Twitter. By domain we find a strong presence of researchers from the Social Sciences and the Humanities. Natural Sciences is the domain with the lowest level of scholars on Twitter.

Researchers on Twitter also tend to be younger than those that are not on Twitter. As this is a bibliometric-based approach, it is important to highlight the reliance of the method on the number of publications produced and tweeted by the scholars, thus the share of scholars on Twitter ranges between 1% and 5% depending on their level of productivity. Further research is suggested in order to improve and expand the methodology.


Early-Career Researchers’ Perceptions of the Prevalence of Questionable Research Practices, Potential Causes, and Open Science

Authors : Stefan Stürmer, Aileen Oeberst, Roman Trötschel, Oliver Decker

Young researchers of today will shape the field in the future. In light of current debates about social psychology’s research culture, this exploratory survey assessed early-career researchers’ beliefs (N = 88) about the prevalence of questionable research practices (QRPs), potential causes, and open science as a possible solution.

While there was relative consensus that outright fraud is an exception, a majority of participants believed that some QRPs are moderately to highly prevalent what they attributed primarily to academic incentive structures.

A majority of participants felt that open science is necessary to improve research practice. They indicated to consider some open science recommendations in the future, but they also indicated some reluctance. Limitation and implications of these findings are discussed.



Données de la recherche en SHS. Pratiques, représentations et attentes des chercheurs : une enquête à l’Université Rennes 2

Auteurs/Authors : Alexandre Serres, Marie-Laure Malingre, Morgane Mignon, Cécile Pierre, Didier Collet

Quels sont les types de données de recherche collectées, traitées et produites dans une université de lettres et sciences humaines et sociales ? Quelles sont les pratiques des chercheurs en SHS en matière de stockage, d’archivage, de diffusion, de partage de leurs données de recherche ?

Quelles sont leurs représentations et leurs définitions des données de recherche, leur position par rapport au libre accès ? Quels sont leurs besoins prioritaires en matière de gestion ou de partage des données de recherche ?

Comment perçoivent-ils le bon niveau d’une politique des données ? C’est pour répondre à toutes ces questions qu’une double enquête, statistique et qualitative, a été menée à l’Université Rennes 2 au printemps 2017, enquête portée par l’URFIST (Unité Régionale de Formation à l’Information Scientifique et Technique) de Rennes, la Maison des Sciences de l’Homme en Bretagne et le Service Commun de Documentation Rennes 2, avec le soutien des instances de l’université.

Le rapport et ses annexes en présentent ici tous les résultats, avec un certain nombre de propositions pour une politique des données de recherche.

URL : Données de la recherche en SHS. Pratiques, représentations et attentes des chercheurs : une enquête à l’Université Rennes 2

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