Use Cases and Software Source Code Identification SCID WG
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Interaction Between Web Browsers and Script Engines
IT 12 058 Examensarbete 45 hp November 2012 Interaction between web browsers and script engines Xiaoyu Zhuang Institutionen för informationsteknologi Department of Information Technology Abstract Interaction between web browser and the script engine Xiaoyu Zhuang Teknisk- naturvetenskaplig fakultet UTH-enheten Web browser plays an important part of internet experience and JavaScript is the most popular programming language as a client side script to build an active and Besöksadress: advance end user experience. The script engine which executes JavaScript needs to Ångströmlaboratoriet Lägerhyddsvägen 1 interact with web browser to get access to its DOM elements and other host objects. Hus 4, Plan 0 Browser from host side needs to initialize the script engine and dispatch script source code to the engine side. Postadress: This thesis studies the interaction between the script engine and its host browser. Box 536 751 21 Uppsala The shell where the engine address to make calls towards outside is called hosting layer. This report mainly discussed what operations could appear in this layer and Telefon: designed testing cases to validate if the browser is robust and reliable regarding 018 – 471 30 03 hosting operations. Telefax: 018 – 471 30 00 Hemsida: http://www.teknat.uu.se/student Handledare: Elena Boris Ämnesgranskare: Justin Pearson Examinator: Lisa Kaati IT 12 058 Tryckt av: Reprocentralen ITC Contents 1. Introduction................................................................................................................................ -
Article Reference
Article Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines BABIC, Zeljana, et al. Abstract The use of misidentified and contaminated cell lines continues to be a problem in biomedical research. Research Resource Identifiers (RRIDs) should reduce the prevalence of misidentified and contaminated cell lines in the literature by alerting researchers to cell lines that are on the list of problematic cell lines, which is maintained by the International Cell Line Authentication Committee (ICLAC) and the Cellosaurus database. To test this assertion, we text-mined the methods sections of about two million papers in PubMed Central, identifying 305,161 unique cell-line names in 150,459 articles. We estimate that 8.6% of these cell lines were on the list of problematic cell lines, whereas only 3.3% of the cell lines in the 634 papers that included RRIDs were on the problematic list. This suggests that the use of RRIDs is associated with a lower reported use of problematic cell lines. Reference BABIC, Zeljana, et al. Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines. eLife, 2019, vol. 8, p. e41676 DOI : 10.7554/eLife.41676 PMID : 30693867 Available at: http://archive-ouverte.unige.ch/unige:119832 Disclaimer: layout of this document may differ from the published version. 1 / 1 FEATURE ARTICLE META-RESEARCH Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines Abstract The use of misidentified and contaminated cell lines continues to be a problem in biomedical research. -
EN125-Web.Pdf
ercim-news.ercim.eu Number 125 April 2021 ERCIM NEWS Special theme: Brain-inspired Computing Also in this issue Research and Innovation: Human-like AI JoinCt ONTENTS Editorial Information JOINT ERCIM ACTIONS ERCIM News is the magazine of ERCIM. Published quarterly, it reports 4 ERCIM-JST Joint Symposium on Big Data and on joint actions of the ERCIM partners, and aims to reflect the contribu - Artificial Intelligence tion made by ERCIM to the European Community in Information Technology and Applied Mathematics. Through short articles and news 5 ERCIM “Alain Bensoussan” Fellowship Programme items, it provides a forum for the exchange of information between the institutes and also with the wider scientific community. This issue has a circulation of about 6,000 printed copies and is also available online. SPECIAL THEME ERCIM News is published by ERCIM EEIG The special theme “Brain-inspired Computing” has been BP 93, F-06902 Sophia Antipolis Cedex, France coordinated by the guest editors Robert Haas (IBM +33 4 9238 5010, [email protected] Research Europe) and Michael Pfeiffer (Bosch Center for Director: Philipp Hoschka, ISSN 0926-4981 Artificial Intelligence) Contributions Introduction to the Special Theme Contributions should be submitted to the local editor of your country 6 Brain-inspired Computing by Robert Haas (IBM Research Europe) and Michael Copyrightnotice Pfeiffer (Bosch Center for Artificial Intelligence) All authors, as identified in each article, retain copyright of their work. ERCIM News is licensed under a Creative Commons Attribution -
The NIDDK Information Network: a Community Portal for Finding Data, Materials, and Tools for Researchers Studying Diabetes, Digestive, and Kidney Diseases
RESEARCH ARTICLE The NIDDK Information Network: A Community Portal for Finding Data, Materials, and Tools for Researchers Studying Diabetes, Digestive, and Kidney Diseases Patricia L. Whetzel1, Jeffrey S. Grethe1, Davis E. Banks1, Maryann E. Martone1,2* 1 Center for Research in Biological Systems, University of California, San Diego, San Diego, California, a11111 United States of America, 2 Dept of Neurosciences, University of California, San Diego, San Diego, California, United States of America * [email protected] Abstract OPEN ACCESS The NIDDK Information Network (dkNET; http://dknet.org) was launched to serve the needs Citation: Whetzel PL, Grethe JS, Banks DE, Martone of basic and clinical investigators in metabolic, digestive and kidney disease by facilitating ME (2015) The NIDDK Information Network: A access to research resources that advance the mission of the National Institute of Diabe- Community Portal for Finding Data, Materials, and Tools for Researchers Studying Diabetes, Digestive, tes and Digestive and Kidney Diseases (NIDDK). By research resources, we mean the and Kidney Diseases. PLoS ONE 10(9): e0136206. multitude of data, software tools, materials, services, projects and organizations available to doi:10.1371/journal.pone.0136206 researchers in the public domain. Most of these are accessed via web-accessible data- Editor: Chun-Hsi Huang, University of Connecticut, bases or web portals, each developed, designed and maintained by numerous different UNITED STATES projects, organizations and individuals. While many of the large government funded data- Received: February 17, 2015 bases, maintained by agencies such as European Bioinformatics Institute and the National Accepted: July 30, 2015 Center for Biotechnology Information, are well known to researchers, many more that have been developed by and for the biomedical research community are unknown or underuti- Published: September 22, 2015 lized. -
High-Performance Web Services for Querying Gene
Xin et al. Genome Biology (2016) 17:91 DOI 10.1186/s13059-016-0953-9 SOFTWARE Open Access High-performance web services for querying gene and variant annotation Jiwen Xin1†, Adam Mark1,2†, Cyrus Afrasiabi1†, Ginger Tsueng1, Moritz Juchler3, Nikhil Gopal3, Gregory S. Stupp1, Timothy E. Putman1, Benjamin J. Ainscough4, Obi L. Griffith4, Ali Torkamani5,6, Patricia L. Whetzel7, Christopher J. Mungall8, Sean D. Mooney3, Andrew I. Su1,6* and Chunlei Wu1* Abstract Efficient tools for data management and integration are essential for many aspects of high-throughput biology. In particular, annotations of genes and human genetic variants are commonly used but highly fragmented across many resources. Here, we describe MyGene.info and MyVariant.info, high-performance web services for querying gene and variant annotation information. These web services are currently accessed more than three million times per month. They also demonstrate a generalizable cloud-based model for organizing and querying biological annotation information. MyGene.info and MyVariant.info are provided as high-performance web services, accessible at http://mygene.info and http://myvariant.info. Both are offered free of charge to the research community. Keywords: Annotation, Gene, Variant, API, Cloud, Repository, Database Background services. Federated data solutions are always up to date, The accumulation of biomedical knowledge is growing but extra care is required to maintain the links, and exponentially. There has been tremendous effort to large queries may take a long time to return due to ser- structure research findings as annotations on biological ver and network limitations. Moreover, the dependability entities (e.g., genes, genetic variants, and pathways). -
Anita Bandrowski, Scicrunch / NIF / RRID [email protected]
on Anita Bandrowski, Sci Cr unch / NI F / RRI D [email protected] Is Reproducibility really a Problem? Growing Challenge: Ensuring the Rigor and Reproducibility of Science Growing Challenge: Ensuring the Rigor and Reproducibility of Science 4 Rigor and Transparency in Research *New Grant Review Criteria* To support the highest quality science, public accountability, and social responsibility in the conduct of science, NIH’s Rigor and Transparency efforts are intended to clarify expectations and highlight attention to four areas that may need more explicit attention by applicants and reviewers: • Scientific premise • Scientific rigor • Consideration of relevant biological variables, such as sex • Authentication of key biological and/or chemical resources Rigor and Transparency in Research *New Grant Review Criteria* To support the highest quality science, public accountability, and social responsibility in the conduct of science, NIH’s Rigor and Transparency efforts are intended to clarify expectations and highlight attention to four areas that may need more explicit attention by applicants and reviewers: • Scientific premise • Scientific rigor • Consideration of relevant biological variables, such as sex • Authentication of key biological and/or chemical resources What is a Key Biological Resource? • Antibodies • Cell Lines • Organisms (transgenic) Reagents that are the most common failure point in experiments What does it cost to have Key Biological Resource fail sometimes? * Freeman et al, 2017. Reproducibility2020: Progress and priorities -
Plos Progress Update 2014/2015 from the Chairman and Ceo
PLOS PROGRESS UPDATE 2014/2015 FROM THE CHAIRMAN AND CEO PLOS is dedicated to the transformation of research communication through collaboration, transparency, speed and access. Since its founding, PLOS has demonstrated the viability of high quality, Open Access publishing; launched the ground- breaking PLOS ONE, a home for all sound science selected for its rigor, not its “significance”; developed the first Article- Level Metrics (ALMs) to demonstrate the value of research beyond the perceived status of a journal title; and extended the impact of research after its publication with the PLOS data policy, ALMs and liberal Open Access licensing. But challenges remain. Scientific communication is far from its ideal state. There is still inconsistent access, and research is oered at a snapshot in time, instead of as an evolving contribution whose reliability and significance are continually evaluated through its lifetime. The current state demands that PLOS continue to establish new standards and expectations for scholarly communication. These include a faster and more ecient publication experience, more transparent peer review, assessment though the lifetime of a work, better recognition of the range of contributions made by collaborators and placing researchers and their communities back at the center of scientific communication. To these ends, PLOS is developing ApertaTM, a system that will facilitate and advance the submission and peer review process for authors, editors and reviewers. PLOS is also creating richer and more inclusive forums, such as PLOS Paleontology and PLOS Ecology Communities and the PLOS Science Wednesday redditscience Ask Me Anything. Progress is being made on early posting of manuscripts at PLOS. -
EBRAINS Data and Knowledge Services: FAIR Data and Models for the Neuroscience Community Status at M7 (D4.1 - SGA3)
EBRAINS Data and Knowledge services: FAIR Data and Models for the Neuroscience Community Status at M7 (D4.1 - SGA3) Figure 1 Key services accessible through EBRAINS Data and Knowledge The background image depicts the graph structure of the active and continuously developing content of the EBRAINS Knowledge Graph (derived from https://kg.ebrains.eu/statistics/) D4.1 (D32) SGA3 M8 ACCEPTED 210504.docx PU = Public 4-May-2021 Page 1 / 30 Project Number: 945539 Project Title: HBP SGA3 Document Title: D4.1 EBRAINS FAIR data services (SC1) status at M7 Document Filename: D4.1 (D32) SGA3 M8 ACCEPTED 210504.docx Deliverable Number: SGA3 D4.1 (D32) Deliverable Type: Other Dissemination Level: PU = Public Planned Delivery Date: SGA3 M7 / 30 Oct 2020 Actual Delivery Date: SGA3 M8 / 13 Nov 2020; resubmitted 27 Apr 2021; accepted 04 May 2021 Jan G. BJAALIE, UIO (P81), Andrew DAVISON, CNRS (P10), Ida AASEBØ, UIO (P81), Author(s): Lyuba ZEHL, JUELICH (P20), Oliver SCHMID, EPFL (P134), Mathew ABRAMS, KI (P37), Simisola AKINTOYE, DMU (P16), William KNIGHT, DMU (P16), Damian EKE, DMU (P16) Compiled by: Martha Elisabeth BRIGG and Roman VOLCHENKOV, UIO (P81) Shailesh APPUKUTTAN, CNRS (P10), Onur ATES, CNRS (P10), Timo DICKSCHEID, JUELICH (P20), Tom GILLESPIE (International Neuroinformatics Coordinating Facility), Xiao GUI, JUELICH (P20), Camilla HAGEN BLIXHAVN, UIO (P81), Anna HILVERLING, JUELICH (P20), Heidi KLEVEN, UIO (P81), Stefan KÖHNEN, JUELICH Contributor(s): (P20), Trygve LEERGAARD, UIO (P81), Elodie LEGOUÉE, CNRS (P10), Glynis MATTHEISEN, CNRS (P10), Maja PUCHADES, UIO (P81), Ingrid REITEN, UIO (P81), Ulrike SCHLEGEL, UIO (P81), Benjamin WEYERS, UT(130), Sara ZAFARNIA, JUELICH (P20), Yann ZERLAUT, CNRS (P10) WP QC Review: Timo DICKSCHEID, JUELICH (P20) WP Leader / Deputy Jan G. -
Audience-Driven Web Design
Updated version published in: Information modelling in the new millennium, Eds. Matt Rossi & Keng Siau, IDEA GroupPublishing, ISBN 1-878289-77-2, 2001. Audience-driven Web Design Olga De Troyer Vrije Universiteit Brussel WISE Research group Pleinlaan 2, B-1050 Brussel, Belgium [email protected] INTRODUCTION Today Web-related software development seems to be faced with a crisis not unlike the one that occurred a generation ago when in the 70s computer hardware experienced an order of magnitude increase in computational power. While this made possible the implementation of a new class of applications larger both in size and complexity, the methods for software development available at that time were not able to scale up to such large projects. The "software crisis" was a fact with its legendary stories of delays, unreliability, maintenance bottlenecks and costs. Now we seem to be starting to deal painfully with a corresponding "web site crisis". Over the last few years, the Internet has boomed and the World Wide Web with it. Web browsers are the basic user platform of the Internet. Because of the immense potential audience, and because publishing on the web is in principle very easy, the number of web applications has exploded. Most of the web sites are created opportunistically without prior planning or analysis. Moreover, even large mission-critical intranet projects are being started without any regard for methodology. The resulting problems of maintenance and development backlog, so well known in "classical" information systems, can easily be predicted, and will happen on a much larger scale. Because web sites are almost by definition required to adapt and grow, and have to interact with other sites and systems unknown at the moment of creation, these problems will also be much more complex and severe. -
Improving Data Identification and Tagging for More Effective Decision Making in Agriculture Pascal Neveu, Romain David, Clement Jonquet
Improving data identification and tagging for more effective decision making in agriculture Pascal Neveu, Romain David, Clement Jonquet To cite this version: Pascal Neveu, Romain David, Clement Jonquet. Improving data identification and tagging for more effective decision making in agriculture. Leisa Armstrong. Improving Data Management and Decision Support Systems in Agriculture, 85, Burleigh Dodds Science Publishing, 2020, Series in Agricultural Science, 978-1-78676-340-2. hal-02164149 HAL Id: hal-02164149 https://hal.archives-ouvertes.fr/hal-02164149 Submitted on 11 May 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Improving data identification and tagging for more effective decision making in agriculture Pascal Neveu and Romain David, INRA, France and Clement Jonquet, LIRMM, France Abstract Data integration, data analytics and decision support methods can help increase agriculture challenges such as climate change adaptation or food security. In this context, smart data acquisition systems, interoperable information systems and frameworks for data structuring are required. In this chapter we describe methods for data identification and provide some recommendations. We also describe how to enrich data with semantics and a way to tag data with the relevant ontology. -
Data Standards and Guidelines 05/11/2020 Online Event
Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery The Physical Sciences Data-Science Service (PSDS) Patterns Failed it to Nailed it: Data Standards and Guidelines 05/11/2020 Online Event Dr Samantha Kanza & Dr Nicola Knight University of Southampton 10/12/2020 AI3SD-Event-Series:Report-20 Failed it to Nailed it: Data Standards and Guidelines AI3SD-Event-Series:Report-20 10/12/2020 DOI: 10.5258/SOTON/P0033 Published by University of Southampton Network: Artificial Intelligence and Augmented Intelligence for Automated Invest- igations for Scientific Discovery This Network+ is EPSRC Funded under Grant No: EP/S000356/1 Principal Investigator: Professor Jeremy Frey Co-Investigator: Professor Mahesan Niranjan Network+ Coordinator: Dr Samantha Kanza An EPSRC National Research Facility to facilitate Data Science in the Physical Sciences: The Physical Sciences Data science Service (PSDS) This Facility is EPSRC Funded under Grant No: EP/S020357/1 Principal Investigator: Professor Simon Coles Co-Investigators: Dr Brian Matthews, Dr Juan Bicarregui & Professor Jeremy Frey Contents 1 Event Details1 2 Event Summary and Format1 3 Event Background1 4 Talks 2 4.1 Metadata........................................2 4.1.1 Introduction to Metadata...........................2 4.1.2 Introduction to FAIR.............................2 4.1.3 Data generation, data standards, and metadata capture in drug discovery - Dr Martin-Immanuel Bittner (Arctoris)..................2 4.2 Open Data.......................................8 4.2.1 Introduction to Open Data..........................8 4.2.2 Giving your open data the best chance to realise its potential - Mr Chris Gutteridge (University of Southampton)...................8 4.3 Linked Data....................................... 13 4.3.1 Introduction to Semantic Web Technologies................ -
Generic Structure Template AUTOSAR CP Release 4.3.1
Generic Structure Template AUTOSAR CP Release 4.3.1 Document Title Generic Structure Template Document Owner AUTOSAR Document Responsibility AUTOSAR Document Identification No 202 Document Status Final Part of AUTOSAR Standard Classic Platform Part of Standard Release 4.3.1 Document Change History Date Release Changed by Description AUTOSAR • Introduction of FileInfoCmmment 2017-12-08 4.3.1 Release • Ordered collections Management • Naming conventions in variant handling patterns • Extend AttributeValuePattern for enumeration AUTOSAR • Editorial changes 2016-11-30 4.3.0 Release • Control the production of Management specification documents • Added section on Special Data Group Definitions AUTOSAR • Update View Approach 2015-07-31 4.2.2 Release • Combinations of status values Management • Update Inline Text Model Element AUTOSAR 2014-10-31 4.2.1 Release • Propagation of LifeCycleState Management • Editorial changes AUTOSAR • Update of blueprint topics 2014-03-31 4.1.3 Release • Extension of variant handling topics Management • Editorial changes AUTOSAR 2013-10-31 4.1.2 Release • Editorial changes Management • Extension of formula language 1 of 456 Document ID 202: AUTOSAR_TPS_GenericStructureTemplate.pdf — AUTOSAR CONFIDENTIAL — Generic Structure Template AUTOSAR CP Release 4.3.1 • Editorial changes including tagged specification items AUTOSAR • Support of build action manifest 2013-03-15 4.1.1 Administration • Support of roles and rights • Added life cycle support • Support of collections and collectable elements • Editorial changes including