EN

Open Access and Discovery Tools: How do Primo Libraries Manage Green Open Access Collections?

Posted on by Hans Dillaerts

The Open Access (OA) movement gains more and more momentum with an increasing number of institutions and funders adopting OA mandates for publicly funded research. Consequently, an increasing amount of research output becomes freely available, either from institutional, multi-institutional or thematic repositories or from traditional or newly established journals.

Currently, there are more than 2,700 Open Access repositories (Green Open Access) of all kinds listed on OpenDOAR. Scholarly OA repositories contain lots of treasures including rare or otherwise unpublished materials and articles that scholars self-archive, often as part of their institution’s mandate. But it can be hard to discover this material unless users know exactly where to look.

Since the very beginning, libraries have played a major role in supporting the OA movement. Next to all services they can provide to support the deposit of research output in the repositories, they can make Open Access materials widely discoverable by their patrons through general search engines (Google, Bing…), specialized search engines (like Google Scholar) and library discovery tools, thus expanding their collection to include materials that they would not necessarily pay for.

In this paper, we intend to focus on two aspects regarding Open Access and Primo discovery tool.

In early 2013, Ex Libris Group started to add institutional repositories to Primo Central Index (PCI), their mega-aggregation of hundreds of millions of scholarly e-resources (journal articles, e-books, reviews, dissertations, legal documents, reports…). After two years, it may be interesting to take stock of the current situation of PCI regarding Open Access repositories. This paper will analyze their progressive integration into PCI, the numbers of references, the resource types, the countries of origin…

On basis of a survey to carry out among the Primo community, the paper will also focus on how libraries using Primo discovery tool integrate Green Open Access contents in their catalog. Two major ways are possible for them. Firstly, they can directly harvest, index and manage any repository ‒their own or any from another institution‒ in their Primo and display those free contents next to the more traditional library collections. Secondly, if they are Primo Central Index subscribers, they can quickly and easily activate any, if not all, of the Open Access repositories contained PCI, making thus the contents of those directly discoverable to their end users.

This paper shows what way is preferred by libraries, if they harvest or not their own repository (even if it is included in PCI) and suggests efforts that Ex Libris could take to improve the visibility and discoverability of OA materials included in the “Institutional Repositories” section of PCI.

URL : http://hdl.handle.net/2268/185329

Non classé

Replication, Communication, and the Population Dynamics of Scientific Discovery

Posted on by Hans Dillaerts

Many published research results are false (Ioannidis, 2005), and controversy continues over the roles of replication and publication policy in improving the reliability of research. Addressing these problems is frustrated by the lack of a formal framework that jointly represents hypothesis formation, replication, publication bias, and variation in research quality. We develop a mathematical model of scientific discovery that combines all of these elements.

This model provides both a dynamic model of research as well as a formal framework for reasoning about the normative structure of science. We show that replication may serve as a ratchet that gradually separates true hypotheses from false, but the same factors that make initial findings unreliable also make replications unreliable. The most important factors in improving the reliability of research are the rate of false positives and the base rate of true hypotheses, and we offer suggestions for addressing each. Our results also bring clarity to verbal debates about the communication of research.

Surprisingly, publication bias is not always an obstacle, but instead may have positive impacts—suppression of negative novel findings is often beneficial. We also find that communication of negative replications may aid true discovery even when attempts to replicate have diminished power. The model speaks constructively to ongoing debates about the design and conduct of science, focusing analysis and discussion on precise, internally consistent models, as well as highlighting the importance of population dynamics.

URL : Replication, Communication, and the Population Dynamics of Scientific Discovery

DOI : 10.1371/journal.pone.0136088

EN

Dataverse 4.0: Defining Data Publishing

Posted on by Hans Dillaerts

 The research community needs reliable, standard ways to make the data produced by scientific research available to the community, while getting credit as data authors. As a result, a new form of scholarly publication is emerging: data publishing. Data pubishing – or making data long-term accessible, reusable and citable – is more involved than simply providing a link to a data file or posting the data to the researchers web site.

In this paper, we define what is needed for proper data publishing and describe how the open-source Dataverse software helps define, enable and enhance data publishing for all.

URL : http://scholar.harvard.edu/mercecrosas/publications/dataverse-4-defining-data-publishing

EN

Best Practices for Ethical Sharing of Individual-Level Health Research Data From Low- and Middle-Income Settings

Posted on by Hans Dillaerts

Sharing individual-level data from clinical and public health research is increasingly being seen as a core requirement for effective and efficient biomedical research. This article discusses the results of a systematic review and multisite qualitative study of key stakeholders’ perspectives on best practices in ethical data sharing in low- and middle-income settings.

Our research suggests that for data sharing to be effective and sustainable, multiple social and ethical requirements need to be met. An effective model of data sharing will be one in which considered judgments will need to be made about how best to achieve scientific progress, minimize risks of harm, promote fairness and reciprocity, and build and sustain trust.

URL : Best Practices for Ethical Sharing of Individual-Level Health Research Data From Low- and Middle-Income Settings

Alternative location : http://m.jre.sagepub.com/content/10/3/302

EN

Developing Ethical Practices for Public Health Research Data Sharing in South Africa : The Views and Experiences From a Diverse Sample of Research Stakeholders

Posted on by Hans Dillaerts

The abundance of South African clinical and public health research data has the potential to unlock important and valuable future advances in biomedical science. Amid increasing calls for more effective sharing of individual-level data, commitment to promote access to research data is evident within South Africa’s public research sector, but national guidance and regulation are absent.

This qualitative study examined the perceptions, experiences and concerns of 32 research stakeholders about data-sharing practices. There was consensus about the utility of data sharing in publicly funded health research. However, disparate views emerged about the possible harms and benefits of sharing data and how these should be weighed. The relative dearth of policies governing data-sharing practices needs to be addressed and a framework of support developed that incentivizes data-sharing practices for researchers that are both ethical and effective.

URL : Developing Ethical Practices for Public Health Research Data Sharing in South Africa

Alternative location : http://m.jre.sagepub.com/content/10/3/290

EN

Perceived Benefits, Harms, and Views About How to Share Data Responsibly : A Qualitative Study of Experiences With and Attitudes Toward Data Sharing Among Research Staff and Community Representatives in Thailand

Posted on by Hans Dillaerts

The Thailand Major Overseas Programme coordinates large multi-center studies in tropical medicine and generates vast amounts of data. As the data sharing movement gains momentum, we wanted to understand attitudes and experiences of relevant stakeholders about what constitutes good data sharing practice. We conducted 15 interviews and three focus groups discussions involving 25 participants and found that they generally saw data sharing as something positive.

Data sharing was viewed as a means to contribute to scientific progress and lead to better quality analysis, better use of resources, greater accountability, and more outputs. However, there were also important reservations including potential harms to research participants, their communities, and the researchers themselves. Given these concerns, several areas for discussion were identified: data standardization, appropriate consent models, and governance.

URL : Journal of Empirical Research on Human Research Ethics-2015-Cheah-278-89

Alternative location : http://m.jre.sagepub.com/content/10/3/278

EN

Involving Research Stakeholders in Developing Policy on Sharing Public Health Research Data in Kenya : Views on Fair Process for Informed Consent, Access Oversight, and Community Engagement

Posted on by Hans Dillaerts

Increased global sharing of public health research data has potential to advance scientific progress but may present challenges to the interests of research stakeholders, particularly in low-to-middle income countries. Policies for data sharing should be responsive to public views, but there is little evidence of the systematic study of these from low-income countries.

This qualitative study explored views on fair data-sharing processes among 60 stakeholders in Kenya with varying research experience, using a deliberative approach. Stakeholders’ attitudes were informed by perceptions of benefit and concerns for research data sharing, including risks of stigmatization, loss of privacy, and undermining scientific careers and validity, reported in detail elsewhere.

In this article, we discuss institutional trust-building processes seen as central to perceptions of fairness in sharing research data in this setting, including forms of community involvement, individual prior awareness and agreement to data sharing, independence and accountability of governance mechanisms, and operating under a national framework.

URL : Involving Research Stakeholders in Developing Policy on Sharing Public Health Research Data in Kenya

Alternative location : http://m.jre.sagepub.com/content/10/3/264