Johnson, Eric
johnsoeo
Recent Submissions
Item Gephi - Network analysis and visualization
Johnson, EricThis set of PowerPoint slides used in a workshop for librarians gives a brief explanation of network analysis and how to use the Gephi visualization tool (version 0.9.2).Item DSpace solr activity extractor
Johnson, EricThis quick tool is designed for DSpace administrators who want to extract usage statistics from their DSpace IR. You will need to be able to log into the server that is hosting your DSpace instance. This is not the same thing as being able to login to the web interface. When you run this tool, it will allow you to select a collection or community from your DSpace platform as well as a starting date. Then it will create a spreadsheet showing the d for each item by month in that time period.Item Digital Preservation - Policies and Practices
Johnson, EricItem Faculty Engagement in Digital Projects
Johnson, EricItem Planning for Digital Preservation
Jones, Ashley; Johnson, EricThis presentation will focus on the process Miami University Libraries used when researching and selecting digital preservation solutions. Digital Preservation can be an overwhelming undertaking for any institution. The relative newness of the field coupled with the complex issues specific to digital preservation presents quite a challenge for any institution looking to create a digital preservation program. Factors involved in the decision included budget, desired program characteristics, frequently shifting priorities, existing workflow and infrastructure, and existing contracts and relationships. The presentation will also cover challenges such as institutional inertia, resistance to change, reluctance to adopt new workflows, and differing priorities amongst stakeholders. This presentation will discuss the background of digital preservation and why it’s important, followed by the challenges many institutions have putting a digital preservation program into place. We will then cover some technical background information and discuss the process we used to evaluate and decide on digital preservation solutions for our institution. We will also describe how we navigated additional roadblocks on our way towards implementing a solution. At the end of the presentation there will be time for audience questions and discussion.Item Digitizing Vinegar Syndrome Film
Johnson, EricStep-by-step equipment build procedure for digitizing damaged 16 mm film stock.Item Simply Analytics overview
Johnson, EricThis is an overview of the SimplyAnalytics online resource, prepared for Miami University's libguides and website. Script: Hello, this is Eric Johnson. Today we’re going to be looking at the Simply Analytics database. To begin with, got to the library homepage and then click on the “Databases A-Z” link. Once the Databases page comes up, click on “S” for SimplyAnalytics and then scroll down. Or use Control – F or Command F to search for Simply Analytics. and then click on the link If you create an account, your maps will be saved between sessions, Or click on the “Sign in as guest” link at the bottom. Once you are in you can take the brief tour Let’s select our area of interest. Will pick Ohio. Then create project. It will give us some variables to start with. We can add more variables later. The map can be moved by left clicking and dragging or by sliding the context window. You can zoom using the slider at the upper left or the scroll wheel. This dropdown allows us to select the geographic scale. We can edit the map and legend. Since we are dealing with money, I will change the color to green. Let’s increase the number of steps from 5 to 9 and remove the outline. I can also click on the Businesses tab and add CVS, a chain store. When the map is the way we want, we can export it by clicking at the upper right. Here we can adjust our viewport. And then go on to the layout to add a North arrow. We’ll cancel for now. The ranking tab at the right lets us compare each of the variables. Lets click Data at the upper left to add population. I’m interested in college age So lets filter for 18 to 24 Notice that most variables are repeated. You can select total number or percentage. In this case, we will select percentage. Let’s close this pane and look at our report. Clicking on a column header will let us sort that column. We can change from congressional districts to cities. The new view button lets us create a variety of tables. If you have questions click on the Support button for a video Or you can click on Help Center to go to a chat window This has been Eric Johnson, data librarian at Miami University.Item Rubrics and Decision Matricies
Johnson, EricDesigning rubrics for informed decision making How often do committees spend an inordinate amount of time nit-picking a trivial issue and fail to discuss the heart of a problem? Do you find yourself constantly busy, but never seeming to make much headway with things that need to be done? Breaking a big decision or set of daily tasks into facets can help individuals manage the process. By creating a rubric or decision matrix of small, easy to tackle tasks and decisions you avoid a daunting initial hurdle and build a stronger final accomplishment. This process can be used for personnel search committees, libraries making large purchase or program decisions, and to help individuals make decisions about their own work goals and promotion process. Designing a good rubric is a skill that can be developed. A rubric should be designed to summarize, clarify and guide discussion towards a decision, allowing the committee (or you) to focus on the issues most important to the final decision. This helps produces efficient committee meetings, reduce anger and dissention and provides documented support for the committee's decision when making a report to higher administrators. This presentation will go through the steps for creating a good decision values rubric, how to weigh and combined the rubric elements and the best ways to use the resulting values to guide decision discussions. We will also talk about managing the unknown and factors outside the committee's control.Item Developing Digital Scholarship Collaboration - Source Notes
Johnson, EricOur library has a unit dedicated to providing project consultations and technical support for faculty, students and other campus units. Many of our projects have strong pedagogical components with hands-on student learning. We also work with clients over a longer time than brief librarian reference sessions while providing guidance, hardware and web hosting. As a result, we have developed several mutually beneficial partnerships. This panel / presentation will demonstrate the progress and results of these partnerships and give participants the opportunity to discuss how they might implement new partnerships on their campus. This particular section of the presentation focuses on SourceNotes - a online system for annotating and sharing research notes about primary documents.Item GetMeData: A Data Purchase Program for students
Johnson, EricThis presentation describes the GetMeData! data purchase program at Miami University. The program connects undergraduate students with liaison librarians for research help including purchasing data for them to use in their research.Item SOAP and the Web of Science: how to bulk download query results
Johnson, EricRecently, we had a faculty member ask to download thousands of citation records from Web of Science (WOS). With modern tasks such as data mining for research, this bulk “nonconsumptive” use of textual data is increasing. Because of the size of the download, she needed the library’s help. Described below are the steps and tools needed so you can repeat the process with your own search terms. This process is also applicable to other Web services that use the simple object access protocol (SOAP).Item Resource Locator Maps: Pinpointing Your Library's Software Stuff
Johnson, Eric; Andrews, NickWOULDN'T IT BE NICE IF THERE WERE A SYSTEM THAT WOULD JUST TELL US WHAT SOFTWARE HAS BEEN DEPLOYED ON EACH COMPUTER? Our librarians at multiple service points needed a simple, fast tool to answer a common question: "Which computer has [pick your favorite] software?" Software packages are often expensive or require high-end machines to run, so not every software tool is available on every machine. Memorizing the location of each piece of specialized software is impractical, and written lists of software packages on each of hundreds of terminals are impractical and become rapidly outdated. The solution was to create a webpage displaying an interactive map of our computer areas along with a list of available software. Hovering over a software title highlights each computer with that software. Clicking on a computer highlights every piece of software on that computer. Behind the scenes, we accomplished this by combining a spreadsheet of computer names correlated to the software on each machine with a map of computer locations. The same methodology can be used to answer other resources questions, such as, "Which study rooms have whiteboards?" and "What are the hours and services at each branch location?"Item Source Notes: A collaboration between C.D.S., Faculty, campus I.T., and the Humanities Center
Johnson, Eric; Offenburger, Andrew; Reese, GregFinding, retrieving and annotating digital news items is almost as important as their generation and storage. Our university is developing new tools for digital news research. To aid in the collection and close reading of news documents, partners from diverse units across campus have collaborated to develop a software tool that allows researchers to code and search for a vast array of subjects, names, dates, direct quotes and interpretative notes within large digital news collections. Each news item can be annotated by multiple people with accurate tracing of each person’s contribution. Designed to be simple for undergraduates to use, but powerful enough for professional research, the text, annotations and other metadata are fully searchable. The results of researchers’ queries can then be processed by further analytical tools including text mining or individual reading. This tool’s theory, background, design and operation is described along with plans for the future.Item Detailed search stats from DSpace Solr
Johnson, EricThe DSpace institutional repository platform has several methods for extracting usage statistics. This brief case study gives an overview 3 methods and shows some of the advanced details available using the Solr API.Item Interactive data entry and validation tool: A collaboration between librarians and researchers
Johnson, EricPurpose – The purpose of this paper is to share a case study process of collaboration with faculty, highlight some design considerations when creating data entry forms and describe some considerations when planning for data management. Design/methodology/approach – A case study is presented with goals, events and design considerations. Findings – Findings show that librarians can be essential members of a faculty research team. Research limitations/implications – Each partnership is different with different data management needs. Design considerations for a data entry form depend on the specific data being collected. Practical implications – Principles can be applied to other libraries developing data management collaborations with faculty or for designing of Web/paper data entry forms. Originality/value – Most forms are not interactive beyond simple presentation of alternate questions. This form of design method builds on user inputs to create dynamic, color-coded and textual guidance. Some of the process of collaborating with faculty partners is shared.Item Find it Here! Interactive Resource Location Kiosks
Johnson, EricAn overview of an interactive software and resource locator. A list of software is displayed on a touch screen along with a map of a computer lab. Clicking either a software title or computer highlights the corresponding computers or titles. A portion of the data tracking and html generating spreadsheet is shown.Item Resource Location Maps
Johnson, EricOur librarians needed an easy way to answer the question, “Which computer has X software?” Since some software packages are expensive, or require an above average machine to operate, not every software tool is available on every machine. To solve this, we created a web page that displayed an active map of each computer room and a list of available software. Hovering over a software title highlights every computer with that software. Clicking on a computer highlights every piece of software on that computer. Behind the scenes, we combined a spreadsheet of computer names correlated with the software on each machine with a map of computer locations. The process can also be used to answer other resources questions such as, “Where are study rooms with white boards?” and “What are the hours and services at each of the branch locations?”Item Tablet Based Data Recorder for Librarians and Researchers
Johnson, EricTo promote easier and more accurate data collection, a tablet based tool was created that guides data collectors by providing color coded and textual instructions. Validation rules can be dynamically created that will analyze entered data and give immediate feedback to the data collector to improve accuracy. This poster shows the paper-based form and images of the electronic tablet form in action. Some design goals and benefits that can be applied to many data entry systems include element order, color coding, typeface selection, active validation, automatic uploading, active guidance, and automatic data entry. Benefits include easy error correction and elimination of many errors, more involved guidance, remote validation rule design, and immediate availability of data for analysis.Item Error free data collection
Johnson, EricTo improve upon paper based data collection, a new software tool was developed and is being used by Craig Williamson’s team for the Lakes as Sentinels of Climate Change project. We designed this to go beyond the typical data collection methods by providing interactive help for data collectors, using modern layout design principles and integrating the tool into the overall research data workflow. This poster shows a few of the design considerations that others can use to improve their own data collection systems. • Guidance is integrated into the form at the locations where the user will have questions • Controlled vocabulary limits errors and makes later searching more effective • Collected data is automatically uploaded and compiled into a single database to simplify queries and analysis. • Data entry layout is optimized based on modern Human Computer Interaction (HCI) research. • Data entry is interactive with prompts, guidance and dynamic color coding to help students and others collect accurate data. • As data is entered, it is automatically validated. Errors are immediately reported to the data collector so they can be corrected while the data is fresh. • Data validation rules adjust to match the site and conditions being observed and can be updated remotely by the Principal Investigator as needed.