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339 results for “Fairness”
Understanding FAIR Data
<p>Video introduction to FAIR data in research</p>
Illustration for "Ten simple rules for making training materials FAIR"
<p>Illustration for paper "Ten simple rules for making training materials FAIR"</p>
Making Drug Discovery Data FAIR: The Yawning Gap between Aspiration and Implementation (recording)
<p>Recording from BioITWorld October 2020</p> <p>The FAIRification of data is gaining impetus. However, for drug discovery, the envisaged increased flow of structures and bioactivity into major public databases, such as PubChem, has not happened. Reasons will be reviewed, but a key impediment is that even when supplementary data from journal papers is submitted to open repositories, such as figshare, there is neither push nor pull into PubChem. Ways to ameliorate this major bottleneck will be discussed, including bypassing the entombment of chemistry in PDFs</p> <p> </p>
FAIR Digital Object and DiSSCo Research Infrastructure Design
<p>This presentation is about how <a href="https://dissco.eu">DiSSCo</a> (Distributed System of Scientific Collections) is using the FAIR Digital Object as the cornerstone of a research infrastructure design. DiSSCo -- a new Research Infrastructure currently in the preparation phase -- will digitally unify European natural science assets under common curation and access and will ensure that data is Findable, Accessible, Interoperable and Reusable (FAIR). DiSSCo will integrate a fragmented landscape of natural science collections, transforming it into a unified, robust, quality ensured knowledge base of unprecedented scale for bio- and geodiversity.</p> <p>With a brief historical context of FAIR Digital Object, this presentation introduces the concept of Digital Specimen. Then it highlights the incorporation of outputs from several <a href="https://rd-alliance.org/">RDA</a> (Research Data Alliance) interests and working groups in the design decision.</p>
Data from: Partner choice creates fairness in humans
Many studies demonstrate that partner choice has played an important role in the evolution of human cooperation, but little work has tested its impact on the evolution of human fairness. In experiments involving divisions of money, people become either over-generous or over-selfish when they are in competition to be chosen as cooperative partners. Hence, it is difficult to see how partner choice could result in the evolution of fair, equal divisions. Here, we show that this puzzle can be solved if we consider the outside options on which partner choice operates. We conduct a behavioural experiment, run agent-based simulations and analyse a game-theoretic model to understand how outside options affect partner choice and fairness. All support the conclusion that partner choice leads to fairness only when individuals have equal outside options. We discuss how this condition has been met in our evolutionary history, and the implications of these findings for our understanding of other aspects of fairness less specific than preferences for equal divisions of resources.
Figure 1 from: Conte M, Flynn AJ, Barrison P, Boisvert P, Landis-Lewis Z, Friedman C (2023) Digital objects to make computable biomedical knowledge FAIR: an infrastructural approach to knowledge representation, dissemination and implementation. Research Ideas and Outcomes 9: e109307. https://doi.org/10.3897/rio.9.e109307
Figure 1 Conceptual model of a Knowledge Object (KO) containing a payload, machine-actionable service and deployment specifications, metadata and a unique persistent identifier. We are exploring aligning our conceptual model with emerging best practices for FAIR Digital Objects. Derived from Wittenburg et al's Digital Objects as Drivers towards Convergence in Data Infrastructures (Wittenburg et al. 2019).
Figure 3 from: Conte M, Flynn AJ, Barrison P, Boisvert P, Landis-Lewis Z, Friedman C (2023) Digital objects to make computable biomedical knowledge FAIR: an infrastructural approach to knowledge representation, dissemination and implementation. Research Ideas and Outcomes 9: e109307. https://doi.org/10.3897/rio.9.e109307
Figure 3 This figure illustrates the dual nature of Knowledge Objects: knowledge-as-resource and knowledge-as-service. A KO can be curated and maintained in a repository, pass metadata to a knowledge graph or deployed into applications. Different to other digital objects, the methods to deploy the KO to applications via custom or generic runtimes called by microservices are built into the KO.
Figure 2 from: Conte M, Flynn AJ, Barrison P, Boisvert P, Landis-Lewis Z, Friedman C (2023) Digital objects to make computable biomedical knowledge FAIR: an infrastructural approach to knowledge representation, dissemination and implementation. Research Ideas and Outcomes 9: e109307. https://doi.org/10.3897/rio.9.e109307
Figure 2 (L) Sample KO as viewed from the KGrid Library, from which the KO can be implemented in a hosted runtime environment or downloaded. (R) Sample output results from deploying the KO.
Towards Social Fairness in Smart Policing: Leveraging Territorial, Racial, and Workload Fairness in the Police Districting Problem
<p>Data, results, and source code.</p>
Data from: Rational constraints and the evolution of fairness in the Ultimatum Game
Behavior in the Ultimatum Game has been well-studied experimentally, and provides a marked contrast between the theoretical model of a self-interested economic agent and that of an actual human concerned with social norms such as fairness. How did such norms evolve, when punishing unfair behavior can be costly to the punishing agent? The work described here simulated a series of Ultimatum Games, in which populations of agents earned resources based on their preferences for proposing and accepting (or rejecting) offers of various sizes. Two different systems governing the acceptance or rejection of offers were implemented. Under one system, the probability that an agent accepted an offer of a given size was independent of the probabilities of accepting the other possible offers. Under the other system, a simple, ordinal constraint was placed on the acceptance probabilities such that a given offer was at least as likely to be accepted as a smaller offer. For simulations under either system, agents' preferences and their corresponding behavior evolved over multiple generations. Populations without the ordinal constraint came to emulate maximizing economic agents, while populations with the constraint came to resemble the behavior of human players.
Supplementary material 1 from: Niehues A, de Visser C, Hagenbeek FA, Karu N, Kindt ASD, Kulkarni P, Pool R, Boomsma DI, van Dongen J, van Gool AJ, `t Hoen PAC (2022) A Multi-omics Data Analysis Workflow Packaged as a FAIR Digital Object. Research Ideas and Outcomes 8: e94042. https://doi.org/10.3897/rio.8.e94042
Members of the ACTION Consortium
Supplementary material 1 from: Agosti D, Bénichou L, Casino A, Nielsen L, Ruch P, Kishor P, Penev L, Mergen P, Arvanitidis C (2024) Liberate the power of biodiversity literature as FAIR digital objects. Research Ideas and Outcomes 10: e126586. https://doi.org/10.3897/rio.10.e126586
Liberate the power of biodiversity literature as FAIR digital objects
Supplementary material 1 from: Penev L, Groom Q, Casino A, Barov B (2024) Uniting FAIR data through interlinked, machine-actionable infrastructures. Research Ideas and Outcomes 10: e126588. https://doi.org/10.3897/rio.10.e126588
Uniting FAIR data through interlinked, machine-actionable infrastructures
FAIRmat Tutorial 2: Electronic lab notebooks and FAIR data management
<p>This tutorial is reviewing the need of using Electronic Lab Notebooks (ELNs) in materials science research labs, synthesis, and experimental characterization facilities. A special emphasis is put on efficiently collecting all metadata and perform a FAIR data management which not only facilitates organizing the work better and making the processes in the lab more performant, but also guarantees the possibility of data reuse via offering machine readability and machine interpretability.</p> <p>The tutorial is also addressing the questions: Which kind of choices are available and how to set up such ELN system for a laboratory? A demonstration of such a lab setup will also be provided on the first day.</p> <p>On the second day, three more presentations will guide you through the details of implementing such a setup for your own lab. For this purpose, we have chosen relevant, but simple use cases which can help you in mapping our strategies and solutions onto your institute.</p> <p><strong>Disclaimer:</strong> NOMAD is being continuously developed based on input and feedback from the scientific community. Hence the features, services or interface may have changed since the time of recording of this video. For up-to-date information please consult our latest tutorials and the NOMAD documentation <a href="https://nomad-lab.eu/prod/v1/docs/">https://nomad-lab.eu/prod/v1/docs/</a></p>
Decentralized Fair Data Exchange with Minimal Mutual Trust using Distributed Ledgers - Replication Package
<p>Replication package for the PhD Thesis of Matthias Lohr</p>
Figure 1 from: Seibt J, Vestergaard C (2018) Fair Proxy Communication: Using Social Robots to Modify the Mechanisms of Implicit Social Cognition. Research Ideas and Outcomes 4: e31827. https://doi.org/10.3897/rio.4.e31827
Figure 1 A job interview using FPC, from the perspective of the interviewer. The male interviewer (in the definition: H2) communicates via the Telenoid R4 robot with H1, a female job candidate as shown in Fig. 2.
Figure 2 from: Seibt J, Vestergaard C (2018) Fair Proxy Communication: Using Social Robots to Modify the Mechanisms of Implicit Social Cognition. Research Ideas and Outcomes 4: e31827. https://doi.org/10.3897/rio.4.e31827
Figure 2 A job interview using FPC, from the perspective of the job candidate. A female candidate (in the definition D1-1: H1) operates her robotic proxy, a Telenoid R4 robot, while she communicates with the male interviewer. Her head movements, lip movements and speech are translated directly to the robot, either via a kinetic sensor on a headset or by a facial reading programme; her voice may or may not be morphed to mask gender (see section "Practical Significance" below). The camera that projects the interviewer on to her computer screen is in the eyes of the robot –thus, in contrast to a skype session, she looks into the interviewer's eyes when facing the interviewer.
FAIR principles images
<p>Images about the FAIR data principles</p>
"This was on this huge market Kikar Shabat in Jerusalem. Iwas on holiday in Israel during a Jewish Festival called Sukkot. I live in England and I'm a Jew. Iwas in the market to buy lulav and estrog. It was a huge traditional festive fair opened a week after Sukkot. It was my first trip to Israel since Iwas a teenager. There was bustle, a lot of Jews. Irecorded this sound, because Iwanted to have a souvenir, to keep this experience of this bustle and hubbub". [Mike/Sparrer]11 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"This was on this huge market Kikar Shabat in Jerusalem. Iwas on holiday in Israel during a Jewish Festival called Sukkot. I live in England and I'm a Jew. Iwas in the market to buy lulav and estrog. It was a huge traditional festive fair opened a week after Sukkot. It was my first trip to Israel since Iwas a teenager. There was bustle, a lot of Jews. Irecorded this sound, because Iwanted to have a souvenir, to keep this experience of this bustle and hubbub". [Mike/Sparrer]11
Supplementary Materials of the Tutorial: "Promotion of Open Science in Requirements Engineering: Leveraging the ORKG and ORKG Ask for FAIR Scientific Information"
<h1>Summary</h1> <p>This collection contains all the supplementary materials of the second tutorial titled "<a href="https://conf.researchr.org/details/RE-2025/RE-2025-tutorials/1/Promotion-of-Open-Science-in-Requirements-Engineering-Leveraging-the-ORKG-and-ORKG-A" target="_blank" rel="noopener">Promotion of Open Science in Requirements Engineering: Leveraging the ORKG and ORKG Ask for FAIR Scientific Information</a>", accepted at the <a href="https://conf.researchr.org/home/RE-2025" target="_blank" rel="noopener">33rd IEEE International Requirements Engineering Conference 2025</a>.</p> <p>The materials complement the tutorial sessions and provide participants with resources to enhance their understanding and application of open science principles in the field of Requirements Engineering (RE) by leveraging the <a href="https://orkg.org/" target="_blank" rel="noopener">Open Research Knowledge Graph (ORKG)</a> and <a href="https://ask.orkg.org/" target="_blank" rel="noopener">ORKG Ask</a> for FAIR scientific information. These materials contain all the presentation slides and exercise materials so that everyone can repeat the theoretical presentations independently and carry out the practical exercises themselves at any time.</p> <h1>Contents</h1> <h2>1. Slides - All slides used in the tutorial.</h2> <table> <tbody> <tr> <td><strong>Files</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>0. RE25 Tutorial - All Sessions.pdf</td> <td>The complete set of all slides used in the tutorial, which are also provided individually for each session of the tutorial.</td> </tr> <tr> <td>1. RE25 Tutorial - Welcome.pdf</td> <td>The welcome with an overview of the content of the tutorial.</td> </tr> <tr> <td>2. RE 25 Tutorial - Introduction to Open Science in RE.pdf</td> <td>The theoretical introduction to open science regarding its importance, benefits, and incentives for researchers themselves and the wider RE community.</td> </tr> <tr> <td>3. RE25 Tutorial - Introduction to ORKG and ORKG Ask.pdf</td> <td>The theoretical introduction to the Open Research Knowledge Graph (ORKG) and ORKG Ask.</td> </tr> <tr> <td>4. RE25 Tutorial - Using SciKGTeX.pdf</td> <td>The practical exercise, with detailed step-by-step instructions on how to use the LaTeX package <a href="https://github.com/Christof93/SciKGTeX" target="_blank" rel="noopener">SciKGTeX</a> to create a FAIR-annotated publication and import it into the ORKG.</td> </tr> <tr> <td>5. RE25 Tutorial - Using the ORKG.pdf</td> <td>The practical exercise, with detailed step-by-step instructions on how to use the <a href="https://orkg.org/" target="_blank" rel="noopener">ORKG </a>to describe publications regarding their scientific information and use these descriptions to create and publish an ORKG comparison.</td> </tr> <tr> <td>6. RE25 Tutorial - Using the ORKG Ask and ORKG CSV Import.pdf</td> <td>The practical exercise, with detailed step-by-step instructions on how to use <a href="https://ask.orkg.org/" target="_blank" rel="noopener">ORKG Ask</a> and the <a href="https://orkg.org/" target="_blank" rel="noopener">ORKG</a> CSV Import to describe publications regarding their scientific information and use these descriptions to create and publish an ORKG comparison.</td> </tr> <tr> <td>7. RE25 Tutorial - Reflection and Closing.pdf</td> <td>The summary, reflection, and closing of the tutorial with an outlook to the future of <a href="https://gitlab.com/TIBHannover/orkg/ExtracTable" target="_blank" rel="noopener">ExtracTable</a>.</td> </tr> </tbody> </table> <h2>2. Exercise Materials - All exercise materials used in the tutorial.</h2> <h3>2.1 SciKGTeX Materials</h3> <table> <tbody> <tr> <td><strong>Folder</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>SciKGTeX_Example</td> <td> <p>The folder contains an example publication and all required SciKGTeX files for annotating the scientific information.</p> <p>Files:</p> <ol> <li>example.tex : LaTeX file of the example publication.</li> <li>scikgtex.lua : Required LaTeX package file for using SciKGTeX.</li> <li>scikgtex.sty : Required LaTeX package file for using SciKGTeX.</li> <li>project.zip : Zip file containing all above files for uploading as a project in Overleaf.</li> </ol> <p><em>Remark:</em> SciKGTeX is constantly being further developed. For the latest version of the required files, please refer to the corresponding <a href="https://github.com/Christof93/SciKGTeX" target="_blank" rel="noopener">GitHub project</a>.</p> </td> </tr> <tr> <td>SciKGTeX_Solution</td> <td> <p>The folder contains an Overleaf project with the solution for a possible annotation of the example publication provided.</p> <p>Files:</p> <ol> <li>example.pdf : PDF with annotations embedded into the PDF's XMP metadata.</li> <li>example.tex : LaTeX file of the example publication with annotations.</li> <li>output.xmp_metadata.xml : XMP file generated by SciKGTeX to check the annotations created.</li> <li>scikgtex.lua : Required LaTeX package file for using SciKGTeX.</li> <li>scikgtex.sty : Required LaTeX package file for using SciKGTeX.</li> <li>project.zip : Zip file containing all above files for uploading as a project in Overleaf.</li> </ol> <p><em>Remark:</em> SciKGTeX is constantly being further developed. For the latest version of the required files, please refer to the corresponding <a href="https://github.com/Christof93/SciKGTeX" target="_blank" rel="noopener">GitHub project</a>.</p> </td> </tr> </tbody> </table> <h3>2.2 ORKG Materials</h3> <table> <tbody> <tr> <td><strong>Folder</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>ORKG_Exemplary_Comparison</td> <td> <p>The folder contains a created ORKG comparison as a PDF and PNG file, consisting of 4 exemplary publications that were described with the ORKG template provided for the tutorial.</p> </td> </tr> <tr> <td>ORKG_Exemplary_Publications</td> <td> <p>The folder contains 20 PDF files with short summaries of scientific findings on empirical research practices from 20 different publications of the IEEE International Requirements Engineering Conference. The participants have received these PDFs to enter them in the ORKG and then create an ORKG Comparison.</p> <p><em>Remark:</em> We have provided the short summaries instead of the full publications to simplify the extraction process due to time constraints.</p> </td> </tr> <tr> <td>ORKG_Template</td> <td> <p>The folder contains an overview of the ORKG template used in the tutorial as a PNG file and an N3 file of its RDF structure.</p> </td> </tr> </tbody> </table> <h3>2.3 ORKG Ask & ORKG CSV Import Materials</h3> <table> <tbody> <tr> <td><strong>File</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>empty_orkg_csv_file_for_orkg_csv_import.csv</td> <td> <p>The file contains an empty template for creating an ORKG CSV file for the ORKG CSV Import with own content.</p> </td> </tr> <tr> <td>empty_orkg_csv_file_for_orkg_csv_import.xlsx</td> <td> <p> </p> The file contains an empty template for creating an ORKG CSV file for the ORKG CSV Import with own content. <p> </p> </td> </tr> <tr> <td>orkg_ask_synthesized_answer_and_link_to search.txt</td> <td>The file contains the synthesized answer with references from ORKG Ask for the question "What is the state of the art in empirical research applied in requirements engineering?" with a link to the associated saved search.</td> </tr> <tr> <td>original_orkg_ask_export_for_orkg_csv_import.csv</td> <td> <p>The file contains the original content of an exported ORKG Ask result table that is revised in the tutorial to create an ORKG Comparison using the ORKG CSV Import.</p> </td> </tr> <tr> <td>original_orkg_ask_export_for_orkg_csv_import.xlsx</td> <td> <p>The file contains the original content of an exported ORKG Ask result table that is revised in the tutorial to create an ORKG Comparison using the ORKG CSV Import.</p> </td> </tr> <tr> <td>revised_orkg_ask_export_for_orkg_csv_import.csv</td> <td> <p>The file contains the revised content of an exported ORKG Ask result table that is used in the tutorial to create an ORKG Comparison using the ORKG CSV Import.</p> </td> </tr> <tr> <td>revised_orkg_ask_export_for_orkg_csv_import.xlsx</td> <td> <p>The file contains the revised content of an exported ORKG Ask result table that is used in the tutorial to create an ORKG Comparison using the ORKG CSV Import.</p> </td> </tr> </tbody> </table> <h1>Usage Notes</h1> <p>These materials are intended for use by the participants of the tutorial, the broader RE community, and everyone interested in open science. They are provided to support the long-term transition towards FAIR scientific information and to empower researchers to integrate open science infrastructures into their work.</p> <h1>License</h1> <p>The materials are released under <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener">Creative Commons Attribution 4.0 International (CC BY 4.0) license</a>, allowing for reuse and distribution in accordance with open science practices.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.