Welcome to the Constructive Research Awareness Management Program (CRAMP). This tool is designed as part of a dissertation in Digital Humanities and seeks to support your individual Research process by focusing on Research Ethics. Regardless of your domain background or research experience, CRAMP provides you with an easily reusable, completely anonymous environment that supports you in the sometimes painful process of reviewing personal research activities. Depending on your individual interest and stance towards the issue of Research Ethics, you can choose between two application modes that will approach you differently.
If you are working on an ongoing research project or are planning to do so, this could be your application mode. Instead of providing you with a fixed list of questions, you will experience an interactive, streamlined questionnaire that becomes successively more specific. After answering a line of questions, you will receive a response that should not be mistaken for qualified advice. Instead, it is designed to raise awareness, ask ethical questions, and provide further food for thought if necessary. Understand CRAMP as a partner in dialogue, but one that does not save or judge your answers. The program assumes that its users understand Ethical Research as an integral part of sustainable Research and Good Research Practice and need no further incentives/explanations to justify this concept. Applying this mode should be easy, anonymous, and hopefully educational.
If you don’t have any interest in optimizing a concrete Research (Data Management) Process but would like to use this tool as an explorative learning resource, you can choose the Exploration Mode. In this application mode, you will not be confronted by any direct questions or “educated” by respective responses, but you can navigate through a database of examples that seek to answer the question “What could possibly go wrong?” for a variety of different use-case scenarios based on actual published data about example situations. The tone and style of answers you receive here is much more provocative and uses satirical writing techniques wherever possible. It is okay to be offended by this.
CRAMP uses a simplified version of the Research Data Life Cycle for its temporal structure. Depending on your specific interests, you can either browse examples, sorted in the chronological segments of the RDLC in Exploration Mode, or confront yourself with control questions from all these research phases in Quality Assurance Mode. If you choose to be confronted with questions, these will occur in 2 Parts, allowing a streamlined questionnaire that reacts to your responses.
The aim of this whole system is not to judge you for any decisions but to raise concern and awareness for individual aspects of your work. CRAMP has no general understanding of right or wrong, but should support you in reflecting consciously about decisions you might miss otherwise. Since everything is work-in-progress, I am always grateful for criticism.
As a consequence of having used Quality Assurance Mode, you will be able to save logs of the questions you got and how you answered them as PDFs. Opportunities to do so appear after each Part 1 Category and at the end of Part 2. This output is not meant for comparing it to others, but in order to provide transparency. Feel free to share your result if you consider this meaningful.
CRAMP was created using Django, Python, jQuery, Atom and ChatGPT. Maintaining the database was done using DB Browser for SQLite and Twine. The used Dyslexia Font was created by Abelardo Gonzalez Jr. All referenced literature is directly linked within the respective software passages.
In its current state, there is no software license assigned to this software. You are using a non-published testing version, so please respect applying copyright.
Unpublished testing version from September 2024.