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Computación Y Sistemas, Vol. 18, No. 4, 2014, Pp
Open Framework for Web Service Selection Using Multimodal and Configurable Techniques Oscar Cabrera 1, Marc Oriol 1, Xavier Franch 1, Jordi Marco 1, Lidia López 1, Olivia Graciela Fragoso Díaz 2, and René Santaolaya 2 1 Universitat Politècnica de Catalunya (UPC), Barcelona, Spain 2 Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET), Morelos, Mexico {ocabrera, moriol, franch, llopez}@essi.upc.edu, [email protected], {ofragoso, rene}@cenidet.edu.mx Abstract. Services as part of our daily life represent an (QoS), non-functional requirement (NFR), service level important means to deliver value to their consumers agreement (SLA), ranking services. and have a great economic impact for organizations. The service consumption and their exponential proliferation show the importance and acceptance by 1 Introduction their customers. In this sense, it is possible to predict that the infrastructure of future cities will be supported In today´s world, there are different kinds of by different kind of services, such as smart city services created to facilitate the life of citizens in services, open data services, as well as common their daily tasks. These services have been services (e.g., e-mail services), etc. Nowadays a large developed to solve different needs according to percentage of services are provided on the web and certain requirements of different human desires. are commonly called web services (WSs). This kind of As a result, an enormous explosion in offering services has become one of the most used services has occurred. In fact, it can be observed technologies in software systems. Among the that for a given need, a plethora of services can challenges when integrating web services in a given system, requirements-driven selection occupies a be found. -
MAJ 04/2021, Cf. Feuilletage Ci-Dessous
Recherche d’informations sur Internet (perfectionnement) méthodologie et outils disponibles A. Bouchard 04/2021 Pour commencer Principes Moteurs de recherche Sites internet Bases de données bibliographiques Autres bases de données textuelles Images et multimédia Web social Actualités et temps réel Quelques outils complémentaires Veille automatisée Exercices de synthèse Bibliographie Principes Internet ? web ? • internet • réseau de réseaux • fin des années 1960 • protocole TCP/IP • applications et services divers : courrier électronique (mail), messagerie instantanée (IM), forums de discussion, transfert de fichiers (FTP), pair à pair (P2P), web (www)… • données • utilisateurs : 5,1 MM. dans le monde (Internet World Stats, 2020) • langues : 61 % du contenu en anglais, 2,8 % en français (W3Techs, 2021) • voir également Internet live stats Internet ? web ? • Web • World Wide Web (www) • milieu des années 1990 • ensemble de pages HTML (textes, images, liens…) avec une URL et accessibles avec le protocole HTTP • web visible / web invisible • web invisible ou web profond (deep web) : partie du web non indexée et qui ne peut être trouvée par les moteurs de recherche (pages protégées par un mot de passe, pages générées dynamiquement à la suite d’une requête…), voire dark web (web illégal) : 95 % du total ? • taille • 1,2 MM. de sites (Netcraft) • web indexé : au moins 5,3 milliards de pages (Worldwidewebsize) • taille du web identifié (URL connues) ? web général ? Internet ? web ? Ascodocpsy ConceptArt multimédia, 2010 Les âges du web du web âges Les Méthodologie • DEBUSQUER l’information Différents outils Esprit critique Bookmark organisé URL significative Syntaxe de recherche Questions préalables Utilisation réfléchie Evaluation Règles à respecter d’après Eduscol. Rechercher sur internet Méthodologie 1° définir le sujet (contexte de la recherche et mots-clés) Questions Prendre du temps au départ pour en gagner par la suite.. -
Mapping the Future of Scholarly Publishing
THE OPEN SCIENCE INITIATIVE WORKING GROUP Mapping the Future of Scholarly Publishing The Open Science Initiative (OSI) is a working group convened by the National Science Communi- cation Institute (nSCI) in October 2014 to discuss the issues regarding improving open access for the betterment of science and to recommend possible solutions. The following document summa- rizes the wide range of issues, perspectives and recommendations from this group’s online conver- sation during November and December 2014 and January 2015. The 112 participants who signed up to participate in this conversation were drawn mostly from the academic, research, and library communities. Most of these 112 were not active in this conversa- tion, but a healthy diversity of key perspectives was still represented. Individual participants may not agree with all of the viewpoints described herein, but participants agree that this document reflects the spirit and content of the conversation. This main body of this document was written by Glenn Hampson and edited by Joyce Ogburn and Laura Ada Emmett. Additional editorial input was provided by many members of the OSI working group. Kathleen Shearer is the author of Annex 5, with editing by Dominque Bambini and Richard Poynder. CC-BY 2015 National Science Communication Institute (nSCI) www.nationalscience.org [email protected] nSCI is a US-based 501(c)(3) nonprofit organization First edition, January 2015 Final version, April 2015 Recommended citation: Open Science Initiative Working Group, Mapping the Future of Scholarly -
First Name Initial Last Name
Allyson E. Smally. A Comparative Analysis of Open Access Institutional Repositories in Mexico. A Master’s Paper for the M.S. in L.S degree. March, 2013. 69 pages. Advisor: Barbara Moran. This project examined open access digital repositories in Mexico. The results are based on data drawn from repository websites and guided by three research questions: 1) How do Mexican repositories promote or encourage the development of national standards for preservation of digital information? 2) Are Mexican repositories and their content easily accessible within their host institutions and on the Web? 3) Can repositories serve to promote collaboration and establish connections between scholars? Examining repositories revealed that nearly all rely on software and metadata developed outside of Mexico but that many do take a role in advancing the discussion about digital preservation. Repositories had mixed levels of web visibility, both within their own institution and on the web. Some of the larger repositories that draw from multiple institutions incorporate features that might promote collaboration, but this is less common among repositories focused solely on the research output of one institution. Headings: Institutional repositories Open access publishing Scholarly publishing A COMPARATIVE ANALYSIS OF OPEN ACCESS INSTITUTIONAL REPOSITORIES IN MEXICO by Allyson E. Smally A Master’s paper submitted to the faculty of the School of Information and Library Science of the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Master of Science in Library Science. Chapel Hill, North Carolina March 2013 Approved by _______________________________________ Barbara B. Moran 1 A COMPARATIVE ANALYSIS OF OPEN ACCESS INSTITUTIONAL REPOSITORIES IN MEXICO In 2002, Raym Crow published a position paper for the Scholarly Publishing and Academic Research Coalition that is often identified as one of the first discussions of digital institutional repositories (St. -
A Tool for Assessing Alignment of Biomedical Data Repositories with Open, FAIR, Citation and Trustworthy Principles
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.19.427362; this version posted April 16, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. A tool for assessing alignment of bio- medical data repositories with open, FAIR, citation and trustworthy principles Fiona Murphy1*, Michael Bar-Sinai2*, Maryann E. Martone3 1MoreBrains Cooperative Ltd, Chichester, UK 2Department of Computer Science, Ben-Gurion University of the Negev and The Institute of Quantitative Social Science at Harvard University 3Department of Neurosciences, University of California, San Diego; SciCrunch, Inc. *Contributed equally to this manuscript Fiona Murphy*: https://orcid.org/0000-0003-1693-1240 Michael Bar-Sinai*https://orcid.org/0000-0002-0153-8465 Maryann E. Martone3: https://orcid.org/0000-0002-8406-3871 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.19.427362; this version posted April 16, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Abstract Increasing attention is being paid to the operation of biomedical data repositories in light of efforts to improve how scientific data is handled and made available for the long term. Multi- ple groups have produced recommendations for functions that biomedical repositories should support, with many using requirements of the FAIR data principles as guidelines. -
Do You Speak Open Science? Resources and Tips to Learn the Language
Do You Speak Open Science? Resources and Tips to Learn the Language. Paola Masuzzo1, 2 - ORCID: 0000-0003-3699-1195, Lennart Martens1,2 - ORCID: 0000- 0003-4277-658X Author Affiliation 1 Medical Biotechnology Center, VIB, Ghent, Belgium 2 Department of Biochemistry, Ghent University, Ghent, Belgium Abstract The internet era, large-scale computing and storage resources, mobile devices, social media, and their high uptake among different groups of people, have all deeply changed the way knowledge is created, communicated, and further deployed. These advances have enabled a radical transformation of the practice of science, which is now more open, more global and collaborative, and closer to society than ever. Open science has therefore become an increasingly important topic. Moreover, as open science is actively pursued by several high-profile funders and institutions, it has fast become a crucial matter to all researchers. However, because this widespread interest in open science has emerged relatively recently, its definition and implementation are constantly shifting and evolving, sometimes leaving researchers in doubt about how to adopt open science, and which are the best practices to follow. This article therefore aims to be a field guide for scientists who want to perform science in the open, offering resources and tips to make open science happen in the four key areas of data, code, publications and peer-review. The Rationale for Open Science: Standing on the Shoulders of Giants One of the most widely used definitions of open science originates from Michael Nielsen [1]: “Open science is the idea that scientific knowledge of all kinds should be openly shared as early as is practical in the discovery process”. -
A Compendium of Case Studies and Interviews with Experts About Open Education Practices and Resources
A Compendium of Case Studies and Interviews with Experts about Open Education Practices and Resources A Compendium of Case Studies and Interviews with Experts Practices about Open Education 1 To read the full report, please visit: www.openmedproject.eu This work is licensed under a Creative Commons Attribution 4.0 Inter- national License (CC BY 4.0). This means that you are free to: • Share – copy and redistribute the material in any medium or format • Adapt – remix, transform, and build upon the material You may do so for any purpose, even commercially. However, you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Please credit this Executive Summary of the report to: Wimpenny, K., Merry, S.K., Tombs, G. & Villar-Onrubia, D. (eds) (2016), Opening Up Education in South Mediterranean Countries: A Compendi- um of Case Studies and Interviews with Experts about Open Education- al Practices and Resources. OpenMed, ISBN 978-1-84600-0 The European Commission support for the production of this publication does not con- stitute an endorsement of the contents which reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein. 2 Introduction OpenMed is an international cooperation project co-funded by the Erasmus + Capacity Building in HE programme of the European Union during the period 15 October 2015 - 14 October 2018 involving five partners from Europe and eight from South-Mediterranean (S-M) countries (Morocco, Palestine, Egypt and Jordan). -
Diapositiva 1
Recursos Electrónicos Problemas empíricos o exploratorios • Los problemas empíricos o exploratorios hacen al ámbito científico, aunque no al ámbito axiomático de la ciencia, pero sin los cuales ese corpus axiomático no puede existir. Podemos a su vez distinguir dos subtipos: • a) recolección de datos: fuentes documentales, biográficas, biblio•gráficas, mapas, fotografías, etc.; • b) realización de instrumentos útiles para la investigación (para el investigador o para terceros): edición de obras críticas, aparatos crítico-bibliográficos, archivo de documentos y su respectiva clasificación, etcétera. Problemas teóricos y conceptuales Los problemas teóricos y conceptuales implican la decons•trucción del conocimiento previo (incluso para confirmarlo) y la formulación, mediante las relativas hipótesis alternativas, de nue•vas instancias de investigación. Se pueden distinguir diversos problemas teóricos: • A) descripción de hechos: descubrimiento de problemas "puros", "nuevos"; • B) ordenación: i. e. clasificación de datos; • C) dilucidación: aclaración de conceptos teóricos aplicados; • D) comprobación de las soluciones planteadas: por el mismo investigador en investigaciones previas o por terceros; • E) explicación: es decir, formulación de hipótesis; • F) proyección de hipótesis o aplicación a determinados datos empíricos previamente definidos; • G) formulación de nuevos términos teóricos; • H) descubrimiento de nuevos problemas teóricos; • I) generalización de verificaciones empíricas previas; • J) proyección y/o abducción de hechos: predicción -
Aggregating Research Papers from Publishers' Systems to Support Text
Aggregating Research Papers from Publishers’ Systems to Support Text and Data Mining: Deliberate Lack of Interoperability or Not? Petr Knoth, Nancy Pontika The Open University Walton Drive, Milton Keynes, United Kingdom [email protected], [email protected] Abstract In the current technology dominated world, interoperability of systems managed by different organisations is an essential property enabling the provision of services at a global scale. In the Text and Data Mining field (TDM), interoperability of systems offering access to text corpora offers the opportunity of increasing the uptake and impact of TDM applications. The global corpus of all research papers, i.e. the collection of human knowledge so large no one can ever read in their lifetime, represents one of the most exciting opportunities for TDM. Although the Open Access movement, which has been advocating for free availability and reuse rights to TDM from research papers, has achieved some major successes on the legal front, the technical interoperability of systems offering free access to research papers continues to be a challenge. COnnecting REpositories (CORE) (Knoth and Zdrahal, 2012) aggregates the world’s open access full-text scientific manuscripts from repositories, journals and publisher systems. One of the main goals of CORE is to harmonise and pre-process these data to lower the barrier for TDM. In this paper, we report on the preliminary results of an interoperability survey of systems provided by journal publishers, both open access and toll access. This helps us to assess the current level of systems’ interoperability and suggest ways forward. Keywords: Interoperability, publishers, standardisation 1. -
Find Research Data Repositories for the Humanities - the Data Deposit Recommendation Service Stefan Buddenbohm, Maaike De Jong, Jean-Luc Minel, Yoann Moranville
Find Research Data Repositories for the Humanities - The Data Deposit Recommendation Service Stefan Buddenbohm, Maaike de Jong, Jean-Luc Minel, Yoann Moranville To cite this version: Stefan Buddenbohm, Maaike de Jong, Jean-Luc Minel, Yoann Moranville. Find Research Data Repos- itories for the Humanities - The Data Deposit Recommendation Service. 2020. hal-03020703v2 HAL Id: hal-03020703 https://hal.archives-ouvertes.fr/hal-03020703v2 Preprint submitted on 14 Jan 2021 (v2), last revised 19 Aug 2021 (v3) 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. Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives| 4.0 International License Find Research Data Repositories for the Humanities - The Data Deposit Recommendation Service Abstract How can researchers identify suitable research data repositories for the deposit of their research data? Which repository matches best the technical and legal requirements of a specific research project? For this end and with a humanities perspective the Data Deposit Recommendation Service (DDRS) has been developed as a prototype. It not only serves as a functional service for selecting humanities research data repositories but it is particularly a technical demonstrator illustrating the potential of re-using an already existing infrastructure - in this case re3data - and the feasibility to set up this kind of service for other research disciplines. -
Glossary of Scholarly Communications Terms
Your Institution’s Logo Here INSTITUTIONAL MOBILIZATION TOOLKIT Glossary of Scholarly Communications Terms Altmetrics What Can I Do? Altmetrics – also known as cybermetrics or webometrics – are non- Be aware that the increasing traditional metrics that are proposed as an alternative to traditional citation cost of journals is outpacing impact metrics. Altmetrics.org, the organization leading the Altmetrics the increase of library movement, proposes to create new metrics that includes social web activity, budgets, putting pressure on such as: your library to do more with Usage, based on the number of downloads less. Peer-review – when a scholar is considered to have be an expert Citations – using traditional methodologies Be open to a conversation with your librarian about Alt-metrics – analyzing links, bookmarks and conversations your scholarly content needs APC in terms of your research and Article Processing Charge. A fee paid by authors to subsidize the processing teaching, in an environment and publishing costs for open access journals. where tough content retention decisions may have Berlin Declaration on Open Access to be made. The publication of the “Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities” on 22 October 2003 and the subsequent What Are annual conferences heralded the introduction of a process that heightened Libraries Doing? awareness around the theme of accessibility to scientific information. 2013 Working through consortia to marked the tenth anniversary of the publication of the Berlin Declaration. leverage greater purchasing Berlin 12 was held in December 2015 with a focus on the transformation of power. subscription journals to Open Access. Tools: Big Deal Introduction First initiated by Academic Press in 1996, the Big Deal is a structure in which Evolution of Journal a commercial scholarly publisher sells their content as a large bundle, as Pricing opposed to individual journals. -
Exposing Dmps: Use Cases, Workflows and Guidelines
Exposing DMPs: Use cases, workflows and guidelines Case statement for community review July 2017 Contributors David Carr - The Wellcome Trust John Chodacki, California Digital Library John Faundeen, Earth Resources Observation Center, USGS Bev Jones University of Lincoln Natalie Meyers, Centre for Open Science/ University of Notre Dame Paul Millar, DESY Fiona Murphy, MMC Ltd Kathryn Unsworth, Australian National Data Service Angus Whyte, Digital Curation Centre (Editor) Elena Zudilova-Seinstra, Elsevier Working Group Charter A variety of stakeholders are showing growing interest in exposing data management plans (*) to other actors (human/machine) in the research lifecycle, beyond their creator and the funder or institution that mandates their production. Interested stakeholders include researchers themselves, funders, institutions, and a variety of service providers and community organisations including repositories, institutions, journals, publishers, and providers of tools for writing and maintaining plans. Implementation and adoption is currently hampered by two problems: ● A lack of standards for expression and interchange of DMPs ● Insufficient understanding of the needs of users and the benefits and risks of different modes of action This proposed working group will address both of these issues; the issue of a standardised form of expression for DMPs is the concern of the proposed DMP Common Standards Working Group. The group’s output will include a reference model and alternative strategies for exposing plans, to best serve community interests in meeting FAIR principles,1 based on shared experience of ‘early adopters’ in test implementations. It will be supported by work to gauge user needs and motivations for exposing DMPs as well as perceived risks and disbenefits.