Expected time slot: 6 hours
Audience: Systems librarians, metadata librarians and data managers.
Expertise: Participants should be familiar with command line interfaces (CLI) and have a basic knowledge of the MARC21 format.
Required: Laptop with VirtualBox (https://www.virtualbox.org/wiki/Downloads) installed. Organisers will provide a VirtualBox image (Linux guest system) beforehand.
Programming experience: Not required.
Catmandu (http://librecat.org) is a command line tool to access and convert data from your digital library, research services or any other open data sets. With Catmandu you can:
Expected time slot: 6 hours
Audience: Library / Cultural Heritage technologists, collection developers
Expertise: Beginner to intermediate
Required: A laptop with a working copy of Virtualbox (http://virtualbox.org) pre-installed
Programming experience: You should have an understanding of the command line (Bash), and basic programming notions (loops, conditionals, variables, functions,...). Hands-on experience with (S)CSS, HTML, Ruby and XML will definitely be an advantage throughout this bootcamp.
Project Blacklight (http://projectblacklight.org/) is a discovery platform framework for libraries, archives, cultural heritage institutions,... At its core, this framework provides an easy to deploy and customisable faceted search machine powered by Apache Solr. First designed and developed at Stanford University, this framework is now used by institutions around the world to provide userfriendly and easy on-line access to their collections. This bootcamp will give participants a hands-on dive in Project Blacklight and covers aspects such as:
Expected time slot: 6 hours
Audience: librarians and developers working with linked open data
Expertise: basic command line and text editor usage
Required: Laptop running VirtualBox. Before the workshop we will publish detailed installation instructions and at the bootcamp we will provide a fully configured virtual machine.
Programming experience: Not required but helpful
Linked Open Usable Data (LOUD) extends Linked Open Data (LOD) by focussing on use cases,
being as simple as possible, and providing developer friendly web APIs with JSON-LD.
This bootcamp will introduce you to the basic concepts of LOUD, web APIs, and JSON-LD.
You'll learn how to publish and document data as LOUD, and how to use that data in
In this bootcamp, we will:
Expected time slot: 2 hours
Audience: Operators of institutional repositories, university libraries, libraries of other research institutions
Expertise: Apart from editing and handling normal text files no special knowledge required
Required: Laptop computers, internet connection
Programming experience: Not required
Funded by the German Research Foundation the DeepGreen project (https://deepgreen.kobv.de/de/deepgreen/) is developing an automated workflow to transfer scholarly publications from publishers to open access repositories. Publishers deposit data files (metadata and full text) and DeepGreen is matching them to authorized repositories using affiliations included in the publishers metadata. Repositories can upload a file with possible name variations of their institution into their DeepGreen account. This so-called match-config-file improves a successful matching process when configured thoroughly. The Bootcamp will focus on the proper configuration of the match-config-file. Participants will be guided to generate suitable match-config-files for several examples (both universities and research institutions). In a concluding part of the Bootcamp, participants will discuss their results of the matching process and share difficulties, comments and new insights that occurred during the configuration.
Expected time slot: 3-4 hours
Audience: Web developers
Required: Laptop with a browser
Almost every web based application offers some kind of forms. Especially in database driven applications users have to enter values into fields either when inserting or updating a record but also when entering data for a search requests. When editing fields in a form selectize.js supports autocompletion in either a synchronous but also in an asynchronous way to make the selection of possible values for a field easy and convenient. We are using this plugin in our self-developed PHP framework "dbkit" (which stands for database toolkit and which is similar to PHP Symfony) but it can also be used in other smaller web applications. This plugin can be used easily and offers not only autocompletion but also rendering features. In our library it's part of our institutional repository KITopen containing all the publications and research data of KIT. Maybe in the future it will also be part of the CRIS system which is in a development process. Selectize.js is a great way to enhance the usability of your own web applications! This bootcamp gives you a deep insight into the usage of selectize.js
Expected time slot: 3 hours
Audience: Systems librarians, systems operators, Devops
Expertise: Basic Linux Administration
Required: OSX or Linux laptop (Windows w/ Linux subsystem should work), Python (2 or 3) installed locally, virtualbox
Programming experience: Not required, but would be helpful
Ansible is an open-source configuration management and build orchestration tool designed to make system automation easier. This workshop will introduce participants of the main components of Ansible, guide them through writing an ansible playbook, and will cover some best practices for writing maintainable and reusable Ansible scripts.
By the end of the bootcamp, participants should be ready to start using Ansible for daily work, and will have the foundations for building more complex playbooks and roles with Ansible
Audience: data analysts or librarians responsible of building dashboards
Expertise: at least a basic knowledge in SQL
Programming experience: not needed at all
Urungi is an Open Source web application to create dashboards and reports (http://www.urungi.org). It is based on 3 easy to understand concepts (data source, data layer, reports and dashboard), that will be explained in detail.
Building a report and a layer is then requiring no technical skill, it's all clic/drag&drop mode.
Come with a dump (or send it a few days before the bootcamp) of your database [mysql/mariaDB], we'll load it on a bootcamp server, then discover how to use Urungi to create statistics and dashboards based on your own data and your own needs.
(your data will be deleted from the bootcamp server quickly after the bootcamp)