39,502 research outputs found
An open, large-scale, collaborative effort to estimate the reproducibility of psychological science.
No full textReproducibility is a defining feature of science. However, because of strong incentives for innovation and weak incentives for confirmation, direct replication is rarely practiced or published. The Reproducibility Project is an open, large-scale, collaborative effort to systematically examine the rate and predictors of reproducibility in psychological science. So far, 72 volunteer researchers from 41 institutions have organized to openly and transparently replicate studies published in three prominent psychological journals from 2008. Multiple methods will be used to evaluate the findings, calculate an empirical rate of replication, and investigate factors that predict reproducibility. Whatever the result, a better understanding of reproducibility will ultimately improve confidence in scientific methodology and findings
The Reproducibility Project: A model of large-scale collaboration for empirical research on reproducibility.
No full textThe goal of science is to accumulate knowledge that answers questions such as “How do things work?” and “Why do they work that way?” Scientists use a variety of methodologies to describe, predict, and explain natural phenomena. These methods are so diverse that it is difficult to define a unique scientific method, although all scientific methodologies share the assumption of repeatability (Hempel & Oppenheim, 1948; Kuhn, 1962; Popper, 1934; Salmon, 1989). In this chapter, we first briefly review why replications are highly valued but rarely published. Then we describe a collaborative effort — the Reproducibility Project — to estimate the rate and predictors of reproducibility in psychological science. Finally, we detail how we are conducting this project as a large-scale, distributed, open collaboration. A description of the procedures and challenges may assist and inspire other teams to conduct similar projects in other areas of science
The Declaration for Open Science and Research 2025—2030
No full textThe Declaration for Open Science and Research 2025–2030 is an update to the previous Declaration for Open Science and Research 2020–2025. The declaration is elaborated in more detail by four national open science policies, which further define and explain the concepts used in the declaration.
The operating environment of open science is constantly changing, which is why the contents of the declaration also need to be assessed and updated regularly. This version of the declaration considers especially the rapidly changed geopolitical environment and the resulting security concerns. Even though the world is undergoing upheaval, trust in scientific collaboration and openness remains a valuable part of a safe global community built on trust.
The Declaration for Open Science and Research 2025–2030 is the result of collaborative development within the research community. Experts working under the national Open Science Coordination and key stakeholders across the research sector contributed to its drafting. The declaration was officially adopted by the National Open Science and Research Steering Group on 24 March 2025. With the updated declaration, Finland reaffirms its role as an international forerunner in open science – together and responsibly.The Declaration for Open Science and Research 2025–2030 is an update to the previous Declaration for Open Science and Research 2020–2025. The declaration is elaborated in more detail by four national open science policies, which further define and explain the concepts used in the declaration.
The operating environment of open science is constantly changing, which is why the contents of the declaration also need to be assessed and updated regularly. This version of the declaration considers especially the rapidly changed geopolitical environment and the resulting security concerns. Even though the world is undergoing upheaval, trust in scientific collaboration and openness remains a valuable part of a safe global community built on trust.
The Declaration for Open Science and Research 2025–2030 is the result of collaborative development within the research community. Experts working under the national Open Science Coordination and key stakeholders across the research sector contributed to its drafting. The declaration was officially adopted by the National Open Science and Research Steering Group on 24 March 2025. With the updated declaration, Finland reaffirms its role as an international forerunner in open science – together and responsibly
The Structure of Scientific Collaboration Networks in Scientometrics
No full textThe structure of scientific collaboration networks in scientometrics was investigated at the level of individuals by using bibliographic data of all papers published in the international journal Scientometrics retrieved from the Science Citation Index (SCI) during 1978 to 2004. Combined analysis of social network analysis (SNA), co-occurrence analysis, cluster analysis and frequency analysis of words was explored to reveal: (1) The microstructure of the collaboration network on scientists’ aspects of scientometrics; (2) The major collaborative fields of the collaborative sub-networks; (3) The collaborative center of the collaboration network in scientometrics
Collaboration in Iranian Scientific Publications
No full textThis study looks at international collaboration in Iranian scientific publications through the ISI Science Citation Index® (SCI) for the years 1995-1999, inclusive. These results are compared to and contrasted with the earlier findings for the periods covering 1985-1994 (Osareh & Wilson 2000). The results of Iran's increasing productivity over a 15-year period are presented. Iran doubled its output in the first two five-year periods and increased 2.8-fold from the second to the third five-year period. The rise in Iran's scientific publication output is due mainly to factors such as the ending of the war, better economic conditions, recent changes in the Iranian government's policy, basic changes in the political environment brought about by the Reformers, expansion of the Iranian presses for national publications, and the recent return of a large number of students trained overseas through government scholarships. External changes also account for the increased productivity, e.g., the acceptance of three Iranian source journals by the SCI, increased access to international databases through the Internet and better electronic communication facilities for international collaboration. One of the most important and significant factors that caused this dramatic rise seems to be the government's research policies in the last few years. Since 1999, the Iran Science, Research and Technology Ministry, has encouraged researchers to publish their non-Farsi language articles in highly ranked international scientific journals, for example, by giving prizes to researchers who publish their articles in ISI-ranked journals
Testing models of collaboration among high school science teachers in an electronic environment
No full textTeacher collaboration is one of the strategies for encouraging teaches to work together to achieve their common ends. In a complex modern world, teachers rarely have time to collaborate with each other. E-mail and Internet technology encourages teacher collaboration to emerge with personal interaction. E-mail is rapid, permitting responses within the same day or even a few hours. On the network, teachers can seek advice from teachers on other campuses and around the world, and at the same time, they can build their relationship with other users. In Western Australia, an e-mail network for science curriculum leaders was established in both primary and secondary schools. In 1998, a study showed that 93 heads of science departments in government high schools were connected to this e-mail network, and more than two-thirds of them had their computers connected to the World Wide Web.
This study aims to: firstly, test Fishbough's models of collaboration among high school science teachers in an electronic environment (e-mail and Internet); and secondly, presents a detailed science web site analysis in terms of the potential of these websites to foster collaboration. The investigation is divided into two distinct studies: Study One is a survey of the teachers' perceptions of collaboration via the Internet and Study Two is a detailed science website analysis.
Study One employed both mail questionnaire and face-to-face interview techniques as methods of data collection. The Science Teacher Collaboration via E-mail and Internet Questionnaire was developed and used to collect data on models of collaboration and interaction perspective of collaborative relationships via the Internet of science teachers at the selected schools. The information from quantitative analysis was used to compose the interview schedule. The follow-up interview was conducted with science teachers who agreed to be interviewed at the sample schools.
Study Two adopted a content analysis technique for analysis of data collected from the two kinds of science websites, specific science websites for science teachers and science websites for general audiences from five chosen continents, Australia, Asia, Europe, America and Africa.
The study found that the Consulting model of collaboration is frequently used by science teachers and science web sites from five chosen continents
Co-authorship Network of Scientometrics Research Collaboration
No full textThis paper examines the co-authorship network in the field of scientometrics using social network analysis techniques with the aim of developing an understanding of research collaboration in this scientific community. Using co-authorship data from 3125 articles published in the journal Scientometrics with a time span of more than three decades (1980-2012), we construct an evolving co-authorship network and calculate three centrality measures (closeness, betweenness, and degree) for 3024 authors, 1207 institutions, 68 countries and 22 academic fields in this network. This paper also discusses the usability of centrality measures in author ranking, and suggests that centrality measures can be useful indicators for impact analysis. Findings revealed that scientometrics was not dominated by a couple of key researchers as quite a significant number of popular researchers were identified. The United States occupies the topmost position in all measures except for degree centrality. The most active, central and collaborative academic discipline in scientometrics is Information & Library Science
The methodological status of co-authorship networks
No full textA powerful strategy within the study of collaboration
in science is to posit that co-authorship patterns
represent social networks.
It is prerequisite to an application of Social
Network Analysis (SNA) to define the network
entities. A network analysis of the inter-institutional
collaboration in COLLNET on the basis
of co-authorships was conducted. The study reveals
that it is crucial whether the co-authorship
itself is seen as an author's relational property or
as a social event that brings the authors together.
The former possibility is represented by a onemode
network in which each author can be related
to each other author. Quite distinct from
that are two-mode networks, the latter approach.
They consist of two single data sets in which relations
are only possible between different sets.
Different modes of representations require
different network approaches. One is that co-authorship
networks are seen as one-mode networks,
which has the advantage of the application
of a variety of measures. In contrast, twomode
networks, the other option, cannot be analysed
by standard techniques but its distinctive
features demand a new conceptualisation of
measures. In conclusion, the two-mode perspective
is more promising because it allows a dual
perspective on collaboration in science which includes
researchers as well as their scientific output
Relationship among research collaboration, number of documents and number of citations. A case study in Spanish computer science production in 2000-2009.
No full textThis paper analyzes the relationship among research collaboration, number of documents and number of citations of computer science research activity. It analyzes the number of documents and citations and how they vary by number of authors. They are also analyzed (according to author set cardinality) under different circumstances, that is, when documents are written in different types of collaboration, when documents are published in different document types, when documents are published in different computer science subdisciplines, and, finally, when documents are published by journals with different impact factor quartiles. To investigate the above relationships, this paper analyzes the publications listed in the Web of Science and produced by active Spanish university professors between 2000 and 2009, working in the computer science field. Analyzing all documents, we show that the highest percentage of documents are published by three authors, whereas single-authored documents account for the lowest percentage. By number of citations, there is no positive association between the author cardinality and citation impact. Statistical tests show that documents written by two authors receive more citations per document and year than documents published by more authors. In contrast, results do not show statistically significant differences between documents published by two authors and one author. The research findings suggest that international collaboration results on average in publications with higher citation rates than national and institutional collaborations. We also find differences regarding citation rates between journals and conferences, across different computer science subdisciplines and journal quartiles as expected. Finally, our impression is that the collaborative level (number of authors per document) will increase in the coming years, and documents published by three or four authors will be the trend in computer science literature
Implementing open licensing in government open data initiatives: a review of Australian government practice
No full textThis paper finds that Australian Government agencies are embracing open access and a proactive disclosure culture, and that open licensing under Creative Commons licences is increasingly prevalent, but that shortcomings need to be addressed.
Abstract
As support grows for greater access to information and data held by governments, so does awareness of the need for appropriate policy, technical and legal frameworks to achieve the desired economic and societal outcomes. Since the late 2000s numerous international organizations, inter-governmental bodies and governments have issued open government data policies, which set out key principles underpinning access to, and the release and reuse of data. These policies reiterate the value of government data and establish the default position that it should be openly accessible to the public under transparent and non-discriminatory conditions, which are conducive to innovative reuse of the data. A key principle stated in open government data policies is that legal rights in government information must be exercised in a manner that is consistent with and supports the open accessibility and reusability of the data. In particular, where government information and data is protected by copyright, access should be provided under licensing terms which clearly permit its reuse and dissemination. This principle has been further developed in the policies issued by Australian Governments into a specific requirement that Government agencies are to apply the Creative Commons Attribution licence (CC BY) as the default licensing position when releasing government information and data. A wide-ranging survey of the practices of Australian Government agencies in managing their information and data, commissioned by the Office of the Australian Information Commissioner in 2012, provides valuable insights into progress towards the achievement of open government policy objectives and the adoption of open licensing practices. The survey results indicate that Australian Government agencies are embracing open access and a proactive disclosure culture and that open licensing under Creative Commons licences is increasingly prevalent. However, the finding that "[t]he default position of open access licensing is not clearly or robustly stated, nor properly reflected in the practice of Government agencies‟ points to the need to further develop the policy framework and the principles governing information access and reuse, and to provide practical guidance tools on open licensing if the broadest range of government information and data is to be made available for innovative reuse
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