OpenPsy: Open Science Initiative der Fakultät für Psychologie
Section outline
-
-
Open Science is "the movement to make scientific research, data and dissemination accessible to all levels of an inquiring society." (FOSTER). It can broadly be viewed as a way of enhancing scientific progress through sharing of knowledge and methods, wider collaboration, and increased rigour. Often, the usage of Open Science seems to be based around three core things: Processes, products, and values.
In here, you'll find answers to the following questions:
- What is Open Science?
- What is the link between Open Science and Good Scientific Practice?
- What is the ideology underlying Open Science?
-
-
In a preregistration, researchers specify, in as much detail as they can, their plans for a study (e.g., number and nature of subjects, stimulus materials, procedures, measures, rules for excluding data, plans for data analysis, predictions/hypotheses, etc.), typically in advance of data collection, and they post those plans in a time-stamped, locked file in an online repository that can be accessed by editors, reviewers, and ultimately by readers.
In here, you'll find answers to the following questions:
- What is Preregistration?
- Can I preregister my study after data collection has begun?
- Is preregistration useful when I do not have any hypotheses?
-
In this section, you find information on:
- What are unreviewed preregistrations and where can I register a study plan?
- What should be in an unreviewed preregistration?
- Templates/Recipes
-
In this section you find information on:
- What are Registered Reoprts and where can I submit them?
- What should be in a Registered Report
- Templates/Recipes
-
In this section you find information on some challenges that researchers might face when considering preregistration.
These challenges concern 1) unreviewed preregistration AND 2) registered resports.
-
In this section, you find information on how to integrate preregistration into your teaching:
- Teaching materials
- Opportunities and recommendations for integrating preregistration in teaching
- Opportunities and recommendations for integrating preregistration in student research projects, as well as BA and MA theses
- Teaching materials
-
-
-
Sharing of research materials, research data, and analytical code, is a fundamental prerequisite to ensure that any research finding can be independently reproduced and verified, possibly with additional robustness tests, to enable independent replications with new samples, facilitate methodological research and meta-analyses, allow exploration and alternative analyses (and different interpretations) leading to new insights. It accelerates the interchange of ideas, fosters collaboration, assists with education and training, and increases the sustainability of research funding.
Learn more about the reasons to share research materials, which materials should be shared (and which should not), how to document them, and which sharing tools/platforms are available to you.
-
Learn more about the ‘FAIR Guiding Principles for scientific data management and stewardship’ (Wilkinson et al., 2016) to improve the findability, accessibility, interoperability, and reuse of digital research assets.
-
Open Materials means making research materials (stimuli, procedures, instruments, code, instructions, tests) freely available on the public internet permitting any user to download, copy, analyse, re-process, pass them to software or use them for any other purpose without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself.
Here you will find information about:
- Basics
- Licensing
- Research Data Management and Law
- Tools
-
Open Data means making data freely available on the public internet permitting any user to download, copy, analyse, re-process, pass them to software or use them for any other purpose without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself.
Here you will find information about:
- ethical barriers
- rights/duties of authors and secondary users
-
Open analysis code means providing the analysis code along with the belonging open data and thereby making the open data repeatable and reusable. At the best, this includes all scripts used for data processing as well as statistical analyses and other codes (simulations, etc.).
In cases of non-open access data (e.g., ethical barriers), related open analysis code makes conducted analyses still more transparent.
Here you will find information about:
- content of open analysis code
- aspects to create reproduceable code
- check your code for reproducibility
- examples
- content of open analysis code
-
-
-
Publishing open access means making peer reviewed scholarly manuscripts freely available via the Internet, permitting any user to read, download, copy, distribute, print, search, or link to the full text without financial, legal or technical barriers other than those inseparable from gaining access to the internet itself.
Here, you can learn about
- the four different forms of Open Access publishing (Diamond, Gold, Green, Hybrid)
- and the German secondary publishing right
-
-
-
This section gives a short introduction into what OER are, providing one of the various working definitions and a short historical overview.
Examples of types and formats as well as a first list of general useful resources on OER are provided. -
This section aims at motivating the use of OER by pointing to the main benefits of utilizing and creating them in terms of enabling access to as well as dissemination and modification of educational material.
In addition, potential problems along with their solutions are mentioned. -
This section deals with issues to consider when using OER such as licensing and copyright.
Utilization of Creative Commons licensing is introduced and explicated. -
A list of many useful online OER related sources is presented in this section.
-
This section is intended to help those who are interested in creating OER to get started with it.
Here you can find tutorials, checklists and useful tools.
-