![]() ![]() We therefore posit an agenda for data responsibility considering its collection and critical interpretation. ![]() We contend that it is necessary to advance an open and honest discussion about the responsibilities of all stakeholders in the data ecosystem – collectors, researchers, and those interpreting and applying findings – to thoughtfully and transparently reflect on those biases use data in good faith and acknowledge limitations. As curators and analysts of large, popular data projects, we are uniquely aware of biases that are present when collecting and using event data. In conflict data, there are often perceptions of damaging bias, and skepticism can emanate from several areas, including confidence in whether data collection procedures create systematic omissions, inflations, or misrepresentations. ![]() All data have biases, which we define as an inclination, prejudice, or directionality to information. With increased availability of disaggregated conflict event data for analysis, there are new and old concerns about bias. We show the utility of MIHCSME for HCS data using multiple examples from the Leiden FAIR Cell Observatory, a Euro-Bioimaging flagship node for high content screening and the pilot node for implementing Findable, Accessible, Interoperable and Reusable (FAIR) bioimaging data throughout the Netherlands Bioimaging network. Keywords: Data tables, data cleaning, data integration, database, user interface. In addition, ISA compliance enables broader integration with other types of experimental data, paving the way for visual omics and multi-Omics integration. Semih Salihoglu, School of Computer Science University of Waterloo. ![]() The tabular template provides an easy-to-use practical implementation of REMBI, specifically for High Content Screening (HCS) data. Creating scientific graphs and tables - displaying your data CLIPS Communicating results with scientific graphs Graphs are great visual communication tools that, when used correctly, can consolidate large amounts of data to help identify patterns and relationships for an audience. It has been developed by combining the ISA (Investigations, Studies, Assays) metadata standard with a semantically enriched instantiation of REMBI (Recommended Metadata for Biological Images). The Minimum Information for High Content Screening Microscopy Experiments (MIHCSME) is a metadata model and reusable tabular template for sharing and integrating high content imaging data. The material for this report builds on the FAIR for AI Workshop held at Argonne National Laboratory on June 7, 2022. Here, we present the perspectives, vision, and experiences of researchers from different countries, disciplines, and backgrounds who are leading the definition and adoption of FAIR principles in their communities of practice, and discuss outcomes that may result from pursuing and incentivizing FAIR AI research. FAIR principles are now being adapted in the context of AI models and datasets. Drag and drop shapes, import data, access templates, and so much. The principles were also meant to apply to other digital assets, at a high level, and over time, the FAIR guiding principles have been re-interpreted or extended to include the software, tools, algorithms, and workflows that produce data. Lucidchart is an intelligent diagramming application that takes Gantt charts to the next level. 'Ask a question' if you need PowerPoint instead and I can probably re-upload an adjusted file quickly.ĭownload Notebook software for free at (Downloads section).A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were proposed in 2016 as prerequisites for proper data management and stewardship, with the goal of enabling the reusability of scholarly data. Presentations include links to related YouTube videos to increase student engagement (I can help you use YouTube videos in your class, even if your network blocks such sites, just ask). Presentations serve as lesson plans that guide the teacher through the entire lesson. notebook presentations)ġ skeleton outline also included bar graphing and activities (not correlated with. After creating a table, you can: Control access to your table data Get information about your tables List the tables in a dataset Get table metadata. notebook presentation, including opportunity for a lab experiment (16 slides)ġ skeleton outline notes and activities (not correlated with. Make the necessary number of columns and rows. Scholastic Figure out how many columns and rows you need. Make sure the title relates to the data you will put in your table. notebook presentation (19 slides)ħth grade. Here's how to make a data table: Name your table. This zip file contains material for middle school science lessons on data table creation before an experiment as part of a scientific inquiry / scientific method unit.Ħth grade. ![]()
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