HUPO World Congress Publication Committee Meeting August 2008, Amsterdam,The Netherlands

The plenary session of the Publications Committee of the Human Proteome Organisation at the 7^th annual HUPO world congress examined the relationship between journals, proteomics standardization initiatives, such as the work of the HUPO‐PSI, and the public domain data repositories. Delegates from industry, academia and the publishing houses discussed how best to bring these bodies closer to together and facilitate the publication process for the bench scientist.     

Research Data in Core Journals in Biology,Chemistry, Mathematics,and Physics

This study takes a stratified random sample of articles published in 2014 from the top 10 journals in the disciplines of biology, chemistry, mathematics, and physics, as ranked by impact factor. Sampled articles were examined for their reporting of original data or reuse of prior data, and were coded for whether the data was publicly shared or otherwise made available to readers. Other characteristics such as the sharing of software code used for analysis and use of data citation and DOIs for data were examined. The study finds that data sharing practices are still relatively rare in these disciplines’ top journals, but that the disciplines have markedly different practices. Biology top journals share original data at the highest rate, and physics top journals share at the lowest rate. Overall, the study finds that within the top journals, only 13% of articles with original data published in 2014 make the data available to others.     

Protein folds, functions and evolution.

The evolution of proteins and their functions is reviewed from a structural perspective in the light of the current database. Protein domain families segregate unequally between the three major classes, the 32 different architectures and almost 700 folds observed to date. We find that the number of new topologies is still increasing, although 25 new structures are now determined for each new topology. The corresponding analysis and classification of function is only just beginning, fuelled by the genome data. The structural data revealed unexpected conservations and divergence of function both within and between families. The next five years will see the compilation of a definitive dictionary of protein families and their related functions, based on structural data which reveals relationships hidden at the sequence level. Such information will provide the foundation to build a better understanding of the molecular basis of biological complexity and hopefully to facilitate rational molecular design.     

Sharing gene expression data: an array of options

Sharing of microarray data has many advantages for the scientific and biomedical community, and should be advocated by neuroscience journals. The goals of sharing are manifold, and include improving analysis and confidence in results, and facilitating global comparisons between experiments, while at the same time, not penalizing those who share. The sharing of microarray data poses unique challenges relative to more generic data such as DNA sequences. These challenges are surmountable, and various sharing formats are possible. Centralized non-commercial databases are being developed to facilitate this process.     

Water,Water, Everywhere: Defining and Assessing Data Sharing in Academia

Sharing of research data has begun to gain traction in many areas of the sciences in the past few years because of changing expectations from the scientific community, funding agencies, and academic journals. National Science Foundation (NSF) requirements for a data management plan (DMP) went into effect in 2011, with the intent of facilitating the dissemination and sharing of research results. Many projects that were funded during 2011 and 2012 should now have implemented the elements of the data management plans required for their grant proposals. In this paper we define ‘data sharing’ and present a protocol for assessing whether data have been shared and how effective the sharing was. We then evaluate the data sharing practices of researchers funded by the NSF at Oregon State University in two ways: by attempting to discover project-level research data using the associated DMP as a starting point, and by examining data sharing associated with journal articles that acknowledge NSF support. Sharing at both the project level and the journal article level was not carried out in the majority of cases, and when sharing was accomplished, the shared data were often of questionable usability due to access, documentation, and formatting issues. We close the article by offering recommendations for how data producers, journal publishers, data repositories, and funding agencies can facilitate the process of sharing data in a meaningful way.     

Differentiation of two Oesophagostomum spp. from pigs, O. dentatum and O. quadrispinulatum, by computer-assisted image analysis of fourth-stage larvae

A method was developed to differentiate between fourth-stage larvae (L4) of two species of porcine nodular worms, Oesophagostomum dentatum and O. quadrispinulatum, by computer-assisted analysis of digitised microphotographs of L4 grown in vitro for various time periods and of L4 ex vivo. The overall lengths of the larvae and the lengths of the oesophagus as well as parameters describing the shape of the oesophagus and buccal capsule were measured and a formula based on these parameters was developed that could differentiate between the two species on the basis of the morphometric data. It was demonstrated that morphometry can produce unbiased data which can be employed for the calculation of indices suitable for the differentiation of morphologically different specimens. Computer-based techniques facilitate the processing of the complex data and offer the option for automation of measurements for routine applications.     

A tale of four stories: soil ecology, theory, evolution and the publication system

Background

Soil ecology has produced a huge corpus of results on relations between soil organisms, ecosystem processes controlled by these organisms and links between belowground and aboveground processes. However, some soil scientists think that soil ecology is short of modelling and evolutionary approaches and has developed too independently from general ecology. We have tested quantitatively these hypotheses through a bibliographic study (about 23000 articles) comparing soil ecology journals, generalist ecology journals, evolutionary ecology journals and theoretical ecology journals.

Findings

We have shown that soil ecology is not well represented in generalist ecology journals and that soil ecologists poorly use modelling and evolutionary approaches. Moreover, the articles published by a typical soil ecology journal (Soil Biology and Biochemistry) are cited by and cite low percentages of articles published in generalist ecology journals, evolutionary ecology journals and theoretical ecology journals.

Conclusion

This confirms our hypotheses and suggests that soil ecology would benefit from an effort towards modelling and evolutionary approaches. This effort should promote the building of a general conceptual framework for soil ecology and bridges between soil ecology and general ecology. We give some historical reasons for the parsimonious use of modelling and evolutionary approaches by soil ecologists. We finally suggest that a publication system that classifies journals according to their Impact Factors and their level of generality is probably inadequate to integrate “particularity” (empirical observations) and “generality” (general theories), which is the goal of all natural sciences. Such a system might also be particularly detrimental to the development of a science such as ecology that is intrinsically multidisciplinary.     

Further steps in standardisation. Report of the second annual Proteomics Standards Initiative Spring Workshop (Siena, Italy 17-20th April 2005)

The spring workshop of the HUPO-PSI convened in Siena to further progress the data standards which are already making an impact on data exchange and deposition in the field of proteomics. Separate work groups pushed forward existing XML standards for the exchange of Molecular Interaction data (PSI-MI, MIF) and Mass Spectrometry data (PSI-MS, mzData) whilst significant progress was made on PSI-MS' mzIdent, which will allow the capture of data from analytical tools such as peak list search engines. A new focus for PSI (GPS, gel electrophoresis) was explored; as was the need for a common representation of protein modifications by all workers in the field of proteomics and beyond. All these efforts are contextualised by the work of the General Proteomics Standards workgroup; which in addition to the MIAPE reporting guidelines, is continually evolving an object model (PSI-OM) from which will be derived the general standard XML format for exchanging data between researchers, and for submission to repositories or journals.     

Free-living nematodes research: State of the art,prospects, and future directions. A bibliometric analysis approach

Nematodes are among the most successful metazoans inhabiting the Earth and they are pivotal components as in terrestrial as in aquatic (both in marine and freshwater) environments providing important ecosystem services. The aim of this study was to understand major research trends and topics on free-living nematodes inhabiting soil, marine and freshwater environments and to highlight possible differences among them. To achieve this objective, a bibliometric analysis was performed using Scopus database. The indexed global scientific literature on free-living nematodes from 1912 to 2021 was explored using VOSviewer software, allowing a comprehensive overview of the topic. The analyses of co-authorship (among researchers and countries), the co-occurrence of keywords and the analysis of citation of journals were performed. Overall, free-living soil nematodes found a wider audience in high ranked journals especially when compared with freshwater nematodes. Marine nematodes stand in between them and many aspects of biodiversity research in marine ecosystems are covered by high-medium ranked journals (i.e. taxonomy, systematic, phylogeny, morphological and genetic diversity). Although, the estimation of the taxonomic diversity of the phylum Nematoda enumerated a high number of documents, an increasing attention emerged for the investigation of pollution effects (i.e. nematodes as bioindicators of environmental status) and the use of nematodes as model organisms for addressing scientific questions in line with the Eco-Evo-Devo (Ecological Evolutionary Developmental biology) approach. These fundamental themes were indirectly confirmed by the co-authorship analysis, which revealed that taking integrative approaches between taxonomy (both morphological and molecular), ecological and evolutionary aspects attracted a higher number of citations.     

Electrophoresis gel image processing and analysis using the KODAK 1D software.

The present article reports on the performance of the KODAK 1D Image Analysis Software for the acquisition of information from electrophoresis experiments and highlights the utility of several mathematical functions for subsequent image processing, analysis, and presentation. Digital images of Coomassie-stained polyacrylamide protein gels containing molecular weight standards and ethidium bromide stained agarose gels containing DNA mass standards are acquired using the KODAK Electrophoresis Documentation and Analysis System 290 (EDAS 290). The KODAK 1D software is used to optimize lane and band identification using features such as isomolecular weight lines. Mathematical functions for mass standard representation are presented, and two methods for estimation of unknown band mass are compared. Given the progressive transition of electrophoresis data acquisition and daily reporting in peer-reviewed journals to digital formats ranging from 8-bit systems such as EDAS 290 to more expensive 16-bit systems, the utility of algorithms such as Gaussian modeling, which can correct geometric aberrations such as clipping due to signal saturation common at lower bit depth levels, is discussed. Finally, image-processing tools that can facilitate image preparation for presentation are demonstrated.     

基于Nextflow构建的宏条形码自动化分析流程EPPS

基于宏条形码技术的物种快速检测有助于生物多样性的评估、预测和保护。本文介绍了常用宏条形码分析的步骤和参数设定方法。我们利用Nextflow搭建了一款宏条形码分析流程EPPS, 可以自动化地运行从原始数据的质量控制到环境多样性的比较。Nextflow软件还拥有流程监控的功能, 可视化输出每个进程所消耗的时间与内存。本文还使用测试数据和已发表数据证明该平台能够有效地分析宏条形码数据并可靠地分析环境生物多样性的相似性。     

Retriever and CompareTable, two informatics tools for data analysis of high-density oligonucleotide arrays.

High-density oligonucleotide arrays are widely employed for detecting global changes in gene expression profiles of cells or tissues exposed to specific stimuli. Presented with large amounts of data, investigators can spend significant amounts of time analyzing and interpreting this array data. In our application of GeneChip arrays to analyze changes in gene expression in viral-infected epithelium, we have needed to develop additional computational tools that may be of utility to other investigators using this methodology. Here, I describe two executable programs to facilitate data extraction and multiple data point analysis. These programs run in a virtual DOS environment on Microsoft Windows 95/98/2K operating systems on a desktop PC. Both programs can be freely downloaded from the BioTechniques Software Library (www.BioTechniques.com). The first program, Retriever, extracts primary data from an array experiment contained in an Affymetrix textfile using user-inputted individual identification strings (e.g., the probe set identification numbers). With specific data retrieved for individual genes, hybridization profiles can be examined and data normalized. The second program, CompareTable, is used to facilitate comparison analysis of two experimental replicates. CompareTable compares two lists of genes, identifies common entries, extracts their data, and writes an output text file containing only those genes present in both of the experiments. The output files generated by these two programs can be opened and manipulated by any software application recognizing tab-delimited text files (e.g., Microsoft NotePad or Excel).     

RECENT ORNITHOLOGICAL LITERATURE

Beginning in 1983 (Auk 100, Ibis 125) the AOU and BOU combined their Recent Literature sections, to publish a single supplement of ornithological literature to which members of both unions contribute. The RAOU joined this partnership in 1987 (Emu 87). The AOU covers journals published in the Americas and The Philippines. The BOU covers journals published in Europe, Africa, and mainland Asia. The RAOU covers journals published in Australasia and other island nations of the Pacific. More than 150 volunteers scan about 650 titles and contribute abstracts regularly. Authors' addresses are included, if the journal lists them, to facilitate communication between readers and authors.
Recent Ornithological Literature strives for comprehensive coverage of the world's periodical literature of interest to persons studying wild birds. Readers are encouraged to consult the "List of Journals Scanned" published annually in the October supplement and to make recommendations for increasing journal coverage.     

论文引用率影响因素——中外生态学期刊比较

本文选择8种有代表性中外生态学期刊,对其一定发表周期内的论文引用率进行分析,探讨生态学论文引用率的影响因素及中外生态学期刊的差异.结果表明：4种英文期刊的年均被引次数均远大于4种中文期刊;英文期刊1位作者的论文数量百分比相对较高;所有期刊的合著论文比例均较高,体现了合作性在现代生态学研究中的重要性;论文作者数量与引用率之间有一定的正相关关系,但不显著;英文期刊论文的长度显著高于中文论文;随着论文长度的增加,年均被引次数增多.对中外期刊论文的引用率变化动态进行分析表明,英文期刊中总被引次数高的论文其增长速率也较快,表明其持续影响力强于中文生态学论文.我们希望这些结果会对生态学者以及相关期刊工作者有所裨益.     

RECENT ORNITHOLOGICAL LITERATURE

Beginning in 1983 (Auk 100, Ibis 125) the AOU and BOU combined their Recent Literature sections, to publish a single supplement of ornithological literature to which members of both unions contribute. The RAOU joined this partnership in 1987 (Emu 87). The AOU covers journals published in the Americas and The Philippines. The BOU covers journals published in Europe, Africa, and mainland Asia. The RAOU covers journals published in Australasia and other island nations of the Pacific. More than 150 volunteers scan about 650 titles and contribute abstracts regularly. Authors' addresses are included, if the journal lists them, to facilitate communication between readers and authors.
Recent Ornithological Literature strives for comprehensive coverage of the world's periodical literature of interest to persons studying wild birds. Readers are encouraged to consult the "List of Journals Scanned" published annually in the October supplement and to make recommendations for increasing journal coverage.     

Integrative Approach to Quality Assessment of Medical Journals Using Impact Factor,Eigenfactor, and Article Influence Scores

Background

Impact factor (IF) is a commonly used surrogate for assessing the scientific quality of journals and articles. There is growing discontent in the medical community with the use of this quality assessment tool because of its many inherent limitations. To help address such concerns, Eigenfactor (ES) and Article Influence scores (AIS) have been devised to assess scientific impact of journals. The principal aim was to compare the temporal trends in IF, ES, and AIS on the rank order of leading medical journals over time.

Methods

The 2001 to 2008 IF, ES, AIS, and number of citable items (CI) of 35 leading medical journals were collected from the Institute of Scientific Information (ISI) and the http://www.eigenfactor.org databases. The journals were ranked based on the published 2008 ES, AIS, and IF scores. Temporal score trends and variations were analyzed.

Results

In general, the AIS and IF values provided similar rank orders. Using ES values resulted in large changes in the rank orders with higher ranking being assigned to journals that publish a large volume of articles. Since 2001, the IF and AIS of most journals increased significantly; however the ES increased in only 51% of the journals in the analysis. Conversely, 26% of journals experienced a downward trend in their ES, while the rest experienced no significant changes (23%). This discordance between temporal trends in IF and ES was largely driven by temporal changes in the number of CI published by the journals.

Conclusion

The rank order of medical journals changes depending on whether IF, AIS or ES is used. All of these metrics are sensitive to the number of citable items published by journals. Consumers should thus consider all of these metrics rather than just IF alone in assessing the influence and importance of medical journals in their respective disciplines.     

Show the data, don't conceal them

Current standards of data presentation and analysis in biological journals often fall short of ideal. This is the first of a planned series of short articles, to be published in a number of journals, aiming to highlight the principles of clear data presentation and appropriate statistical analysis. This article considers the methods used to show data, in particular the value of the dot plot, and methods to summarise the distribution of values. The uses of measures such as standard deviation, standard error of the mean, and confidence intervals are contrasted.     

Proteomics Data Collection – 5th ProDaC Workshop 4 March 2009, Kolympari,Crete, Greece

The Proteomics Data Collection (ProDaC) consortium, a “Coordination Action” funded by the 6th EU Framework Programme, started in October 2006. Its aim was to facilitate the collection and distribution of proteomics data and the public availability of data sets from proteomics experiments. Within the consortium standard formats are created and tools are developed to allow extensive data collection within the proteomics community. An important part of ProDaC is the organization of workshops twice a year to inform about the consortium's progress and to stimulate communication between the ProDaC partners and between partners and interested members of the proteomics community. ProDaC ends on March 31, 2009. The most recent (and final) workshop was the 5th ProDaC workshop held on March 4, 2009 in Kolympari, Crete, Greece. The progress since the last meeting and an overall summary was presented by the work package coordinators and partners. Four external speakers presented talks about their work in relation to ProDaC.     

RECENT ORNITHOLOGIAL LITERATURE

Recent Ornithological Literature is a cooperative, volunteer project for the benefit of ornithologists the world over. The partnership began in 1983 (Auk 100, Ibis 125) when the AOU and BOU combined their Recent Literature sections to publish a single supplement of ornithological literature. The RAOU joined this partnership in 1987 (Emu 87). The AOU covers journals published in the Americas and the Philippines. The BOU covers journals published in Europe, Africa, and mainland Asia. The RAOU covers journals published in Australasia and other island nations of the Pacific. More than 150 volunteers scan about 650 titles and contribute abstracts regularly. Authors' addresses are included, if the journal lists them, to facilitate communication between readers and authors.
Recent Ornithological Literature strives for comprehensive coverage of the world's periodical literature of interest to persons studying wild birds. Readers are encouraged to consult the "List of Journals Scanned" published annually in the fourth supplement and to make recommendations for increasing journal coverage. Authors, editors, or publishers whose articles or journals are not covered by the ROL should send reprints, abstracts, or exchange issues to the editor responsible for covering the geographical area where the journal is published. Volunteer abstractors are welcomed.