Should A+ Certification Exam candidates use brain dump sites? My answer, might surprise you.
This is part of Mr. Ford's Guide to the A+ Certification Exam: How to Be A Computer Technician.
Questions about access to scholarship go back farther than recent debates over subscription prices, rights, and electronic archives suggest. The great libraries of the past—from the fabled collection at Alexandria to the early public libraries of nineteenth-century America—stood as arguments for increasing access. In The Access Principle, John Willinsky describes the latest chapter in this ongoing story—online open access publishing by scholarly journals—and makes a case for open access as a public good.
A commitment to scholarly work, writes Willinsky, carries with it a responsibility to circulate that work as widely as possible: this is the access principle. In the digital age, that responsibility includes exploring new publishing technologies and economic models to improve access to scholarly work. Wide circulation adds value to published work; it is a significant aspect of its claim to be knowledge. The right to know and the right to be known are inextricably mixed. Open access, argues Willinsky, can benefit both a researcher-author working at the best-equipped lab at a leading research university and a teacher struggling to find resources in an impoverished high school.
Willinsky describes different types of access—the New England Journal of Medicine, for example, grants open access to issues six months after initial publication, and First Monday forgoes a print edition and makes its contents immediately accessible at no cost. He discusses the contradictions of copyright law, the reading of research, and the economic viability of open access. He also considers broader themes of public access to knowledge, human rights issues, lessons from publishing history, and "epistemological vanities." The debate over open access, writes Willinsky, raises crucial questions about the place of scholarly work in a larger world—and about the future of knowledge.
Usa un código secreto para descifrar un mensaje sobre César Chávez. Actividad de Bolsa de STEM Semanal. Agentes de Colorado Americorp en los condados de Araphahoe, Denver, Garfield, Larimer y Weld. Trabajo apoyado por la Corporación para el Servicio Nacional y Comunitario bajo el número de subvención 18AFHCO0010008 de Americorps. Las opiniones o puntos de vista expresados en esta lección pertenecen a los autores y no representan necesariamente la posición oficial o una posición respaldada por la Corporación o el programa Americorps.
North American ecosystems have fundamentally changed over the late Pleistocene and Holocene; from a system dominated by mammoths, to bison, to domestic livestock. Given the very different body size and herd formation of these 'ecosystem engineers', it is likely that animals influence soil structure, water tables, vegetation and other animals in the ecosystems. What has been the ecological influence of the continued 'downsizing' of the largest animals in the ecosystem?
(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)
This is a problem-based learning activity that guides students through a process whereby the class as a whole investigates various stakeholder perspectives on the global climate change controversy. Individual students then reflect on their own perspectives in light of what they have learned.
Use Purdue OWL to annotate the paper Scale and Cross-Scale Dynamics: Governance and Information in a Multilevel World
Python es un lenguaje de programación general que es útil para escribir scripts para trabajar con datos de manera efectiva y reproducible. Esta es una introducción a Python diseñada para participantes sin experiencia en programación. Estas lecciones pueden enseñarse en un día (~ 6 horas). Las lecciones empiezan con información básica sobre la sintaxis de Python, la interface de Jupyter Notebook, y continúan con cómo importar archivos CSV, usando el paquete Pandas para trabajar con DataFrames, cómo calcular la información resumen de un DataFrame, y una breve introducción en cómo crear visualizaciones. La última lección demuestra cómo trabajar con bases de datos directamente desde Python. Nota: los datos no han sido traducidos de la versión original en inglés, por lo que los nombres de variables se mantienen en inglés y los números de cada observación usan la sintaxis de habla inglesa (coma separador de miles y punto separador de decimales).
What is the current state of artificial intelligence (AI) in the world of scholarly communication? What impact does AI have on the practices and strategies of publishers, libraries, information technology companies, and researchers? What exactly is AI and what are those in the realm of scholarly communication actually thinking about it and doing with it?
This Charleston Briefing seeks to provide some answers to these very important questions, offering both general essays on AI and more specific essays on AI in scholarly publishing, academic libraries, and AI in information discovery and knowledge building. The essays will help publishers, librarians, and researchers better understand the actual impact of AI on libraries and publishing so that they can respond to the potentially transformative impact of AI in a measured and knowledgeable manner.
"Charleston Briefings: Trending Topics for Information Professionals" is a thought-provoking series of brief books concerning innovation in the sphere of libraries, publishing, and technology in scholarly communication. The briefings, growing out of the vital conversations characteristic of the Charleston Conference and Against the Grain, will offer valuable insights into the trends shaping our professional lives and the institutions in which we work.
A Software Carpentry lesson to learn how to use Make Make is a tool which can run commands to read files, process these files in some way, and write out the processed files. For example, in software development, Make is used to compile source code into executable programs or libraries, but Make can also be used to: run analysis scripts on raw data files to get data files that summarize the raw data; run visualization scripts on data files to produce plots; and to parse and combine text files and plots to create papers. Make is called a build tool - it builds data files, plots, papers, programs or libraries. It can also update existing files if desired. Make tracks the dependencies between the files it creates and the files used to create these. If one of the original files (e.g. a data file) is changed, then Make knows to recreate, or update, the files that depend upon this file (e.g. a plot). There are now many build tools available, all of which are based on the same concepts as Make.
The content of both the Dutch and the English-language version of Bad News was
written by DROG (www.aboutbadnews.com), a Dutch organisation working against
the spread of disinformation, in collaboration with researchers at Cambridge
University in the United Kingdom. The visual and graphic design was done by
Gusmanson (www.gusmanson.nl).
Teaches kids the fundamentals of digital citizenship and safety.
In 2017, the ISD launched Be Internet Citizens in partnership with Google and YouTube, delivering in-school workshops and teacher training in schools across the UK. Our aim is to build young people’s resilience to online harms - including disinformation and hate speech - and empower them to become positive, accountable and conscientious leaders online.
In this exercise, students will use the Neotoma database and ArcGIS Online to create a distribution map of modern collection localities of beetle taxa associated with an assemblage of fossil beetles from the Conklin Quarry site in eastern Iowa.
a data rich exercise to help students discover how organisms move in response to climate change
(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)
Experienced Registered Reports editors and reviewers come together to discuss the format and best practices for handling submissions. The panelists also share insights into what editors are looking for from reviewers as well as practical guidelines for writing a Registered Report. ABOUT THE PANELISTS: Chris Chambers | Chris is a professor of cognitive neuroscience at Cardiff University, Chair of the Registered Reports Committee supported by the Center for Open Science, and one of the founders of Registered Reports. He has helped establish the Registered Reports format for over a dozen journals. Anastasia Kiyonaga | Anastasia is a cognitive neuroscientist who uses converging behavioral, brain stimulation, and neuroimaging methods to probe memory and attention processes. She is currently a postdoctoral researcher with Mark D'Esposito in the Helen Wills Neuroscience Institute at the University of California, Berkeley. Before coming to Berkeley, she received her Ph.D. with Tobias Egner in the Duke Center for Cognitive Neuroscience. She will be an Assistant Professor in the Department of Cognitive Science at UC San Diego starting January, 2020. Jason Scimeca | Jason is a cognitive neuroscientist at UC Berkeley. His research investigates the neural systems that support high-level cognitive processes such as executive function, working memory, and the flexible control of behavior. He completed his Ph.D. at Brown University with David Badre and is currently a postdoctoral researcher in Mark D'Esposito's Cognitive Neuroscience Lab. Moderated by David Mellor, Director of Policy Initiatives for the Center for Open Science.
Ever need to help a researcher share and archive their research data? Would you know how to advise them on managing their data so it can be easily shared and re-used? This workshop will cover best practices for collecting and organizing research data related to the goal of data preservation and sharing. We will focus on best practices and tips for collecting data, including file naming, documentation/metadata, quality control, and versioning, as well as access and control/security, backup and storage, and licensing. We will discuss the library’s role in data management, and the opportunities and challenges around supporting data sharing efforts. Through case studies we will explore a typical research data scenario and propose solutions and services by the library and institutional partners. Finally, we discuss methods to stay up to date with data management related topics.
COLTT 2023's keynote speaker, Beth Rudden, is a Global IT and cognitive science leader. With over 20 years of experience, Beth has driven digital transformation through trusted AI systems for IBM in roles including Distinguished Engineer, Chief Data Officer, and Chief Data Scientist.
BLOG DE COMPETENCIAS DIGITALES PARA EDUCACIÓN EN LÍNEA
This interactive Morse Code trainer allows you to practice sending and receiving messages in Morse Code. Ham Radio operators may be interested in this tools. There is also a Japanese version.
Students learn how make phylogenetic trees from morphological data using a variety of candy. Techniques and concepts learned include outgroup analysis, making a character matrix, coding characters, parsimony, building phylogenetic trees, monophyly, polytomy, synapomorphy, and why scientists can get wildly different trees with the same taxa.
Data Carpentry, Software Carpentry, and Library Carpentry are branches under The Carpentries known as a learning program to develop and teach workshops on the fundamental data and coding skills needed to conduct research. Participants can request to host a workshop at their institution or organization, attend a workshop, and/or involve by becoming a certified instructor, contributing in developing the content, or just simply support the programs. All lessons in either Carpentry branch can be used to teach introduction courses in data science/library information sciences.