This is an introduction to the classic version of ArcGIS StoryMaps. It provides a walkthrough of the website functions and has tasks listed for students to build their first story map.

Pomona College -- fall 2022

Word Count: 33688

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

In this resource, you will find five archival preservation handouts and one handout addressing arrangement and description. These handouts will quickly help a user understand how to best preserve different types of materials at their home. There are both full-color and black and white versions of each of these handouts. The handouts are licensed under CC, by 4.0. 

Archiving for the Future is a free training course designed to teach language documenters, activists, and researchers how to organize, arrange, and archive language documentation, revitalization, and maintenance materials and metadata in a digital repository or language archive. Then entire course can be completed in approximately 3-5 hours.

This course was developed by the staff of the Archive of the Indigenous Languages of Latin America at the University of Texas at Austin in consultation with representatives of various DELAMAN (https://www.delaman.org/) archives and other digital data repositories in the United States, the United Kingdom, the European Union, Australia, and Cameroon.

The course material is based upon work supported by the National Science Foundation under Grant No. BCS-1653380 (September 1, 2016 to August 31, 2020). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Covering necessary information literacy topics in a traditional "one shot" session can be difficult. To address this challenge, a suite of interactive online modules were developed to provide active learning lessons on various information literacy topics. The modules can be used in fully online, flipped or face-to-face courses and can be integrated into a learning management system (LMS) so student knowledge and progress can be tracked and assessed.

Developed using Articulate Storyline, the sources files are available as open source downloads under a GNU General Public License (GPLv3). Please feel free to download and continue to enhance and improve these modules.

Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 95,000 words on the topic, with a 3-400 item bibliography.

Overview: Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 100,000 words on the topic, with a 4-500 item bibliography. It is the 2024 Second Edition of a 2023 book. It is about 100 pages longer than the first edition.

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.

When looking for information, one of the first steps is to develop a research question to figure out the scope of what exactly is needed. In this lesson, students will explore what it takes to narrow a search in order to find the best information.

This resource is a modification of the Washington Models for the Evaluation of Bias Content in Instructional Materials (2009) that is made available through OER Commons under a public domain license. This resource attempts to both update the content with more contemporary vocabulary and also to narrow the scope to evaluating still images as they are found online. It was developed as a secondary project while working on a BranchED OER grant during summer 2020. It includes an attached rubric adapted from the Washington Model (2009).

There is broad interest to improve the reproducibility of published research. We developed a survey tool to assess the availability of digital research artifacts published alongside peer-reviewed journal articles (e.g. data, models, code, directions for use) and reproducibility of article results. We used the tool to assess 360 of the 1,989 articles published by six hydrology and water resources journals in 2017. Like studies from other fields, we reproduced results for only a small fraction of articles (1.6% of tested articles) using their available artifacts. We estimated, with 95% confidence, that results might be reproduced for only 0.6% to 6.8% of all 1,989 articles. Unlike prior studies, the survey tool identified key bottlenecks to making work more reproducible. Bottlenecks include: only some digital artifacts available (44% of articles), no directions (89%), or all artifacts available but results not reproducible (5%). The tool (or extensions) can help authors, journals, funders, and institutions to self-assess manuscripts, provide feedback to improve reproducibility, and recognize and reward reproducible articles as examples for others.

This module is adapted from the original Department of Health module, which you can find here.We were inspired by the original and heartened at the opportunity to integrate across content areas.Our iteration includes direct connections with secondary ELA and showcases content integration across science and social studies with a strong social justice component. ​Furthermore, our adaptation highlights Washington state policy that addresses wildfire awareness, prevention, and preventive measures.Please note the work of the Department of Health Epidemiologists in using data science to understand medical trends and the opportunity to plan health interventions. This is a strong career connection for our students.

ARDC curate a collection of resources for researchers, librarians and eResearch professionals. The topics covered by resources and guides range from ethics and sensitive data to managing data; from research data policy and licensing to training and teaching research data management skills.

Author Carpentry is a researcher-to-researcher training and outreach program in open authoring and publishing. It was initiated at the Caltech Library to enhance scientific authorship and publishing in the digital age. The aim of Author Carpentry is to promote and support good information handling tools, practices, and skills that help researchers prepare, submit, and publish contributions that add value to the scholarly record and invite others to adapt and build upon. Ideally, that means contributions that fulfill not only the original Big Four of the scholarly record – Registration, Validation, Dissemination, and Preservation - but also enable an essential fifth component of knowledge management in the digital age: Replication, Reuse, and Remixing.

This is an editable flyer for institutions participating in the OER Collective to use to promote the Collective to academics. 

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.

PowerPoint presentation on avoidance of plagiarism and associated tools. This resource should be accessible and includes captioning, as well as narration transcript within notes. Conversion to MP4 format can be found with the following link: https://1drv.ms/v/s!Au0Iieak3rI_0FzvLimwqLC6KUxo?e=Np6bCL.

There are several important elements to digital preservation, including data protection, backup and archiving. In this lesson, these concepts are introduced and best practices are highlighted with case study examples of how things can go wrong. Exploring the logistical, technical and policy implications of data preservation, participants will be able to identify their preservation needs and be ready to implement good data preservation practices by the end of the module.

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).