Library Binding

Abstract

Open Data (OD) is an emerging term in the process of defining how scientific data may be published and re-used without price or permission barriers. Scientists generally see published data as belonging to the scientific community, but many publishers claim copyright over data and will not allow its re-use without permission. This is a major impediment to the progress of scholarship in the digital age. This article reviews the need for Open Data, shows examples of why Open Data are valuable, and summarizes some early initiatives in formalizing the right of access to and re-use of scientific data.     

Einstein's First Published Paper

This article reviews Albert Einstein's first published paper, submitted for publication in 1900. At that time, Einstein was 21 and a recent college graduate. His paper uses modeling and least squares to analyze data in support of a scientific proposition. Einstein is shown to be well trained, for his day, in using statistics as a tool in his scientific research. This paper also shows his ability to make trivial arithmetic mistakes and some clumsiness in data recording. A major aim of this article is to help provide a better appreciation of Einstein as an active user of statistical arguments in this and other of his important publications.     

Open Access: A Review of an Emerging Phenomenon

Discussion about Open Access (OA) has dominated industry news for the past two years. Librarians and publishers alike are attempting to fully grasp the implications of different business models on various issues, including costs, peer review, funding mechanisms, value, and archives. While there is general agreement about the importance of broadening access to scientific literature, there is disagreement on how this is best achieved in a financially responsible fashion. This article looks at some of the questions surrounding Open Access journals as well as the role publishing plays in the continuum of science in general, particularly with regard to membership organizations.     

Open Access: A Review of an Emerging Phenomenon

Abstract

Discussion about Open Access (OA) has dominated industry news for the past two years. Librarians and publishers alike are attempting to fully grasp the implications of different business models on various issues, including costs, peer review, funding mechanisms, value, and archives. While there is general agreement about the importance of broadening access to scientific literature, there is disagreement on how this is best achieved in a financially responsible fashion. This article looks at some of the questions surrounding Open Access journals as well as the role publishing plays in the continuum of science in general, particularly with regard to membership organizations.     

The “Green” and “Gold” Roads to Open Access: The Case for Mixing and Matching

Recent discussions on Open Access (OA) have tended to treat OA journals and self-archiving as two distinct routes. Some supporters of self-archiving even suggest that it alone can bring about full Open Access to the world's scientific literature. In this paper, it is argued that each route actually corresponds to a phase in the movement toward Open Access; that the mere fact of self-archiving is not enough; that providing some branding ability to the repositories is needed. However, doing so will eventually bring about the creation of overlay (or database) journals. The two roads, therefore, will merge to create a mature OA landscape.     

The “Green” and “Gold” Roads to Open Access: The Case for Mixing and Matching

Abstract

Recent discussions on Open Access (OA) have tended to treat OA journals and self-archiving as two distinct routes. Some supporters of self-archiving even suggest that it alone can bring about full Open Access to the world's scientific literature. In this paper, it is argued that each route actually corresponds to a phase in the movement toward Open Access; that the mere fact of self-archiving is not enough; that providing some branding ability to the repositories is needed. However, doing so will eventually bring about the creation of overlay (or database) journals. The two roads, therefore, will merge to create a mature OA landscape.     

Mixing and Matching the Green and Gold Roads to Open Access—Take 2

Three years ago, the Gold and Green Roads to Open Access were viewed as complementary strategies, with repositories having the potential of gradually behaving more like journals, and vice versa. Since then, repositories and journals have been progressing on parallel tracks. Re-examining the situation, the reasoning suggested in 2004 appears still valid. Simultaneously, a knowledge economy has made of science a strategic resource. The developing world is essentially invited to contribute to world science with little or no regard to the development of an autonomous scientific capacity. Open Access, in this context, takes a new meaning with one objective to help development of local and autonomous scientific capacity. However, to do so, mixing and matching repositories with journals is needed. Brazil exemplifies this type of development and shows how the Green and Gold roads can mix and match.     

The Shifting Sands of Open Access Publishing, a Publisher's View

This paper sets Open Access (OA) publishing in the context of today's scientific, technical, and medical (STM) publishing trends. Four areas are covered: (a) a brief overview of STM publishing and its value today; (b) OA's place in the industry; (c) the underlying economics of OA, particularly its author-pays model; and (d) directions in moving towards “universal access” to STM information, where both researchers and the public have access to the scientific information they need.     

The Shifting Sands of Open Access Publishing,a Publisher's View

Abstract

This paper sets Open Access (OA) publishing in the context of today's scientific, technical, and medical (STM) publishing trends. Four areas are covered: (a) a brief overview of STM publishing and its value today; (b) OA's place in the industry; (c) the underlying economics of OA, particularly its author-pays model; and (d) directions in moving towards “universal access” to STM information, where both researchers and the public have access to the scientific information they need.     

British Publications of Note on Serials

Abstract

Three years ago, the Gold and Green Roads to Open Access were viewed as complementary strategies, with repositories having the potential of gradually behaving more like journals, and vice versa. Since then, repositories and journals have been progressing on parallel tracks. Re-examining the situation, the reasoning suggested in 2004 appears still valid. Simultaneously, a knowledge economy has made of science a strategic resource. The developing world is essentially invited to contribute to world science with little or no regard to the development of an autonomous scientific capacity. Open Access, in this context, takes a new meaning with one objective to help development of local and autonomous scientific capacity. However, to do so, mixing and matching repositories with journals is needed. Brazil exemplifies this type of development and shows how the Green and Gold roads can mix and match.     

Evaluation of adjustments for partial non-response bias in the US National Immunization Survey

Summary.  Many health surveys conduct an initial household interview to obtain demographic information and then request permission to obtain detailed information on health outcomes from the respondent's health care providers. A 'complete response' results when both the demographic information and the detailed health outcome data are obtained. A 'partial response' results when the initial interview is complete but, for one reason or another, the detailed health outcome information is not obtained. If 'complete responders' differ from 'partial responders' and the proportion of partial responders in the sample is at least moderately large, statistics that use only data from complete responders may be severely biased. We refer to bias that is attributable to these differences as 'partial non-response' bias. In health surveys it is customary to adjust survey estimates to account for potential differences by employing adjustment cells and weighting to reduce bias from partial response. Before making these adjustments, it is important to ask whether an adjustment is expected to increase or decrease bias from partial non-response. After making these adjustments, an equally important question is 'How well does the method of adjustment work to reduce partial non-response bias?'. The paper describes methods for answering these questions. Data from the US National Immunization Survey are used to illustrate the methods.     

Estimand framework: Are we asking the right questions? A case study in the solid tumor setting

The estimand framework requires a precise definition of the clinical question of interest (the estimand) as different ways of accounting for “intercurrent” events post randomization may result in different scientific questions. The initiation of subsequent therapy is common in oncology clinical trials and is considered an intercurrent event if the start of such therapy occurs prior to a recurrence or progression event. Three possible ways to account for this intercurrent event in the analysis are to censor at initiation, consider recurrence or progression events (including death) that occur before and after the initiation of subsequent therapy, or consider the start of subsequent therapy as an event in and of itself. The new estimand framework clarifies that these analyses address different questions (“does the drug delay recurrence if no patient had received subsequent therapy?” vs “does the drug delay recurrence with or without subsequent therapy?” vs “does the drug delay recurrence or start of subsequent therapy?”). The framework facilitates discussions during clinical trial planning and design to ensure alignment between the key question of interest, the analysis, and interpretation. This article is a result of a cross-industry collaboration to connect the International Council for Harmonisation E9 addendum concepts to applications. Data from previously reported randomized phase 3 studies in the renal cell carcinoma setting are used to consider common intercurrent events in solid tumor studies, and to illustrate different scientific questions and the consequences of the estimand choice for study design, data collection, analysis, and interpretation.     

Transforming Access to Research Literature for Developing Countries

The economic development of a country depends heavily on its scientific strength and ability to resolve problems in such areas as public health, infectious disease, environmental management, or industrial progress. Access to research information traditionally depends on ability to pay, which has a negative impact on developing countries. A number of new initiatives address this imbalance, ranging from consortial licensing and new publishing models to the Open Access Initiative, and have the ability to meet the needs of research in financially constrained countries. The advent of the Open Access strategies, particularly interoperable institutional archives, has the potential to revolutionize access to essential research.     

Transforming Access to Research Literature for Developing Countries

Abstract

The economic development of a country depends heavily on its scientific strength and ability to resolve problems in such areas as public health, infectious disease, environmental management, or industrial progress. Access to research information traditionally depends on ability to pay, which has a negative impact on developing countries. A number of new initiatives address this imbalance, ranging from consortial licensing and new publishing models to the Open Access Initiative, and have the ability to meet the needs of research in financially constrained countries. The advent of the Open Access strategies, particularly interoperable institutional archives, has the potential to revolutionize access to essential research.     

Not the First Digit! Using Benford's Law to Detect Fraudulent Scientif ic Data

Digits in statistical data produced by natural or social processes are often distributed in a manner described by ‘Benford's law’. Recently, a test against this distribution was used to identify fraudulent accounting data. This test is based on the supposition that first, second, third, and other digits in real data follow the Benford distribution while the digits in fabricated data do not. Is it possible to apply Benford tests to detect fabricated or falsified scientific data as well as fraudulent financial data? We approached this question in two ways. First, we examined the use of the Benford distribution as a standard by checking the frequencies of the nine possible first and ten possible second digits in published statistical estimates. Second, we conducted experiments in which subjects were asked to fabricate statistical estimates (regression coefficients). The digits in these experimental data were scrutinized for possible deviations from the Benford distribution. There were two main findings. First, both digits of the published regression coefficients were approximately Benford distributed or at least followed a pattern of monotonic decline. Second, the experimental results yielded new insights into the strengths and weaknesses of Benford tests. Surprisingly, first digits of faked data also exhibited a pattern of monotonic decline, while second, third, and fourth digits were distributed less in accordance with Benford's law. At least in the case of regression coefficients, there were indications that checks for digit-preference anomalies should focus less on the first (i.e. leftmost) and more on later digits.     

A comparison study on modeling of clustered and overdispersed count data for multiple comparisons

Data collected in various scientific fields are count data. One way to analyze such data is to compare the individual levels of the factor treatment using multiple comparisons. However, the measured individuals are often clustered – e.g. according to litter or rearing. This must be considered when estimating the parameters by a repeated measurement model. In addition, ignoring the overdispersion to which count data is prone leads to an increase of the type one error rate. We carry out simulation studies using several different data settings and compare different multiple contrast tests with parameter estimates from generalized estimation equations and generalized linear mixed models in order to observe coverage and rejection probabilities. We generate overdispersed, clustered count data in small samples as can be observed in many biological settings. We have found that the generalized estimation equations outperform generalized linear mixed models if the variance-sandwich estimator is correctly specified. Furthermore, generalized linear mixed models show problems with the convergence rate under certain data settings, but there are model implementations with lower implications exists. Finally, we use an example of genetic data to demonstrate the application of the multiple contrast test and the problems of ignoring strong overdispersion.