TY - CONF A1 - Pauw, Brian Richard A1 - Smales, Glen Jacob T1 - The SPONGE N2 - This software tool is intended to calculate X-ray scattering patterns from 3D objects described by an STL file. The fundamentals and use example(s) are shown. T2 - Better with Scattering workshop 2020 CY - BAM, Berlin, Germany DA - 16.03.2020 KW - Small angle scattering KW - Software KW - Simulation PY - 2020 AN - OPUS4-51020 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard A1 - Breßler, Ingo T1 - 30.000+ datasets in an underground SciCat instance: the good, the bad, and the improvables. N2 - For the last four years, we have been running a SciCat instance to manage the projects and data in our X-ray scattering laboratory. We here report on the configuration of this SciCat instance, how it connects to the scientific workflow, and how it is integrated in the data pipeline. T2 - SciCat 2023 CY - Didcot, UK DA - 18.07.2023 KW - Scicat KW - X-ray scattering KW - Laboratory management KW - Research Data Management KW - Laboratory organization KW - RunDeck PY - 2023 AN - OPUS4-57958 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - The dark side of science N2 - This talk explores the various ways in which bad science can proliferate in the current academic environment, and what can be done to recognize and (maybe) correct it. T2 - Better with Scattering workshop 2020 CY - BAM, Berlin, Germany DA - 16.03.2020 KW - Scientific rigor KW - Academic fraud KW - Academic metrics PY - 2020 AN - OPUS4-51017 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - McSAS for SAS analysis: Usage, Benefits and Potential Pitfalls N2 - This talk introduces McSAS, code for analysis of scattering patterns to extract particle size distributions. It highlights how it works, how it should be used, and when it may (not) be applied T2 - Better with Scattering workshop 2020 CY - BAM, Berlin, Germany DA - 16.03.2020 KW - Small angle scattering KW - Software KW - Analysis PY - 2020 AN - OPUS4-51019 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - The Dark Side of Science N2 - An overview of the dark side of science: what it is, how it occurs, and what you can do to understand it and fight for the light side. T2 - First training event of the ITN-Project GW4SHM CY - Online meeting DA - 23.11.2020 KW - Scientific rigor KW - Scientific misconduct KW - Data manipulation KW - Image manipulation PY - 2020 AN - OPUS4-51830 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - The Dark side of Science N2 - We all may have started out as bright-eyed students trying to do science to the best of our abilities, but over time, some of us have gradually drifted to the dark side. The dark side of science has an impressive publication rate in high-ranking journals, good success with funding agencies, and rocks the world with stellar findings. Unfortunately, these findings aren't real, either by accident or on purpose. As the presenter and his colleagues found, trying to correct or even dispute any of these findings in literature is a supremely complex and time-consuming effort. With no recent reduction in the frequency of such false findings, it is up to us to try to stem the flow. Besides looking at examples, we need to understand the underlying driving forces behind this dark scientific movement. By combining this understanding with a refresher of the core scientific principles, we can then develop the necessary argumentative tools and mechanisms that may prevent our own slide down the slippery slope. This talk will therefore start out with several entertaining examples of probably accidental, as well as definitely deliberate, false scientific findings in literature (and in particular in the field of materials research). We will then take a brief look at the possible causes for these developments, after which some tools will be presented that can help both the fresh as well as the well-seasoned scientist to rise up against the dark side. T2 - DGM special event (invited lecture) CY - Online meeting DA - 23.06.2021 KW - Scientific fraud KW - Reproducibility crisis KW - Bad science KW - Scientific method KW - Publication pressure PY - 2021 AN - OPUS4-53274 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Everything SAXS Part 1: Introduction, Sample Requirements and Measurement "Space" N2 - This talk for the Swiss Society for Crystallography (SSCr) workshop on SAXS will introduce scattering from various angles, focusing in particular on: - Information content of X-ray scattering experiments, three entry points… - An introduction to Fourier Transforms - Sample criteria, compatibility, and selection - Key indicators of a measurement – where is the information? - Key indicators of measurement quality - Experiment planning, the basics T2 - Topical workshop of the Swiss Society for Crystallography CY - Zurich, Switzerland DA - 08.09.2023 KW - X-ray scattering KW - Data stewardship KW - Measurement science KW - MOUSE KW - Holistic experiment approaches PY - 2023 AN - OPUS4-58235 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Everything SAXS Part 2: Data Processing, Workflow and Pitfalls N2 - The second talk for the Swiss Society for Crystallography (SSCr) workshop on SAXS will highlight the data processing challenges, holistic experimental workflow developments, and the pitfalls. In particular, the following items will be addressed: - The importance of data processing and estimating uncertainty - A universal correction pipeline – away with the headaches, at least for this step! - Experiment planning part 2, some tips and advice to improve your corrected data. - Sample preparation, background selection, some tips and advice to improve your corrected data. - Automate for your mental well-being; electronic logbooks, measurement catalogs and workflow management software - Life on the edge: several pitfalls to avoid… T2 - Topical workshop of the Swiss Society for Crystallography CY - Zurich, Switzerland DA - 08.09.2023 KW - X-ray scattering KW - MOUSE KW - Data processing KW - Uncertainties KW - Pitfalls PY - 2023 AN - OPUS4-58236 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - The Dark Side of Science (2023 edition) N2 - An introductory lecture on the Dark Side of Science; what it is, why it exists, and what can be done to fight it. This lecture illuminates the increasing prevalence of fraudulent scientific work (e.g. faked data, manipulated images, paper mills) with plenty of examples and sources. The second section expands on the driving forces that caused this phenomenon to emerge, largely driven by pressures from management, peers and the researcher themselves. The third section expands on methods and tools that can be used to educate and arm oneself against this phenomenon. The 2023 edition includes new examples of larger fraudulent bodies of work emerging, and the problems posed by the arrival of LLMs. T2 - Lecture series on "Information management" CY - Berlin, Germany DA - 27.11.2023 KW - Research fraud KW - Scientific misconduct KW - Paper mills KW - Metrics-driven science KW - Image manipulation KW - Faked research PY - 2023 AN - OPUS4-58925 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - The Dark Side of Science (2024.v2 edition) N2 - This talk introduces the dark side of science (the ever increasing levels of fraudulent activities in science and scientific publishing). It furthermore explores why the focus on inherently limited metrics drives this phenomenon, and how one can arm themselves against going down this gradient. Tools and tips are presented to enable assessment of other works, and what can be done in general to move away from this. T2 - Informationsmanagement“ im Master Lebensmitteltechnologie CY - Berlin, Germany DA - 26.11.2024 KW - Research fraud KW - Scientific misconduct KW - Literature research KW - Materials science PY - 2024 AN - OPUS4-61792 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -