Dr. Domenico Giusti
Paläoanthropologie, Senckenberg Centre for Human Evolution and Palaeoenvironment
I am a research/technician [ORCID] at the Senckenberg Centre for Human Evolution and Palaeoenvironment in Tübingen and an adjunct lecturer at the University of Tübingen, WG Palaeoanthropology. My main research interest lies in the study of archaeological site formation processes through spatial analysis. I am specialized in computer applications and quantitative methods for archaeological research. I am active in international archaeological research projects. I am also interested in techniques and methods for reproducible research and open science.
Source: .
Bachelor Ur- und Frühgeschichtliche Archäologie und Archäologie des Mittelalters / Paläoanthropologie
Master Naturwissenschaftliche Archäologie
+ 2 (Bachelor Geowissenschaften, Master English Linguistics)
Aufgrund der Covid Pandemie findet die Veranstaltung online recorded statt, Unterrichtsmaterialien finden Sie auf Ilias.
Due to the covid pandemic, the course will take place online recorded, material will be uploaded on Ilias on a weekly basis.
Aufgrund der Covid Pandemie findet die Veranstaltung online live via Zoom statt.
Due to the covid pandemic, the course will take place online live via zoom.
The course has NO specific prerequisites. NO background knowledge or programming skills are expected.
Technical requirements: Regardless of your platform (Windows, Mac or Linux) you will need a high-speed Internet connection in order to watch the videos, download data and software, submit your assignments. You will also need to be able to install software on your PC. BTW, This course makes exclusively use of free and open source software.
Week | Module |
---|---|
1 (26 Apr.) | 1. Open Concepts and Principles |
2 (3 May) | 2. Open Research Data |
3 (10 May) | 3. Open Research Software and Open Source |
4 (17 May) | 4. Reproducible Research and Data Analysis |
Pfingsten BREAK | --- |
5 (31 May) | Guest lecture (B. Marwick) |
6 (7 Jun.) | 5. Open Access to Published Research Results |
7 (14 Jun.) | 6. Open Licensing and File Formats |
8 (21 Jun.) | 7. Collaborative Platforms |
9 (28 Jun.) | 8. Open Peer Review, Metrics, and Evaluation |
10 (5 Jul.) | 9. Open Science Policies |
11 (12 Jul.) | 10. Citizen Science |
12 (19 Jul.) | 11. Open Educational Resources |
13 (26 Jul.) | Wrap-up & Final exam |
A growing list of resourses is uploaded on ILIAS.
Please complete the pre-course survey.
Open means anyone can freely access, use, modify, and share for any purpose (subject, at most, to requirements that preserve provenance and openness)
"The Open Definition was initially derived from the Open Source Definition, which in turn was derived from the original Debian Free Software Guidelines, and the Debian Social Contract of which they are a part, which were created by Bruce Perens and the Debian Developers. Bruce later used the same text in creating the Open Source Definition. This definition is substantially derivative of those documents and retains their essential principles. Richard Stallman was the first to push the ideals of software freedom which we continue."
"Free software means software that respects users' freedom and community. Roughly, it means that the users have the freedom to run, copy, distribute, study, change and improve the software. Thus, “free software” is a matter of liberty, not price. To understand the concept, you should think of “free” as in “free speech,” not as in “free beer”. We sometimes call it “libre software,” borrowing the French or Spanish word for “free” as in freedom, to show we do not mean the software is gratis."
A program is free software if the program's users have the four essential freedoms:
"The movement to make scientific research (including publications, data, physical samples, and software) and its dissemination accessible to all levels of an inquiring society, amateur or professional. Open science is transparent and accessible knowledge that is shared and developed through collaborative networks. It encompasses practices such as publishing open research, campaigning for open access, encouraging scientists to practice open-notebook science, and generally making it easier to publish and communicate scientific knowledge."
Wikipedia Open Science Definition
"Open Science is the practice of science in such a way that others can collaborate and contribute, where research data, lab notes and other research processes are freely available, under terms that enable reuse, redistribution and reproduction of the research and its underlying data and methods."
Openness in science is significant in that it both defines the origins of modern science and imagines the future of science.
Bias can be introduced throughout the research process by
Challenge all steps of your research (research question/hypothesis, study design, data sourcing, processing, analysis, report)!
"A research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance."
This image was created by Scriberia for The Turing Way community and is used under a CC-BY licence
What is the difference between Open Science and ‘science’?
Open Science refers to doing traditional science with more transparency involved at various stages, for example by openly sharing code and data. Many researchers do this already, but don’t call it Open Science.
Does ‘Open Science’ exclude the Humanities and Social Sciences?
No, the term Open Science is inclusive. Indeed, the case is that sometimes Open Science is more broadly referred to as ‘Open Research’ or ‘Open Scholarship’ to be more inclusive of other disciplines, principles and practices. However, Open Science is a commonly used term at multiple levels and so it makes sense to adopt it for communication purposes, with the proviso that it includes all research disciplines.
Does Open Science lead to misuse or misunderstanding of research?
No, the application of Open Science principles is in fact a safeguard against misuse or misunderstanding. Transparency breeds trust, confidence and allows others to verify and validate the research process.
Will Open Science lead to too much information overload?
It is better to have too much information and deal with it, than to have too little and live with the risk of missing the important parts. And there are technologies such as RSS feeds, machine learning and artificial intelligence that are making content aggregation easier.
What is the current application of Open Science principles in your institute? Picture the positive outcomes that Open Science might have on your current academic life.
Download and install the R base system and RStudio. Both are needed. Installing RStudio will not automatically install R.