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191 results for “User data”
IMMERSE Horizon 2020 Project Downstream User Toolbox – data for tutorial on impact of wave coupling on surface particle dispersion simulations
<p>Exemplary data for tutorial on impact of wave coupling on surface particle dispersal simulations<br> <a href="https://github.com/immerse-project/Downstream-Users-Toolbox/tree/main/T8.3_WaveCoupling_ParticleTransport_UniU">https://github.com/immerse-project/Downstream-Users-Toolbox/tree/main/T8.3_WaveCoupling_ParticleTransport_UniU</a><br> created as part of the downstream user toolbox of the IMMERSE Horizon 2020 project (<a href="https://immerse-ocean.eu/">https://immerse-ocean.eu/</a>).</p> <p>In the tutorial the impact of new options for the representation of wave-current interactions in the NEMO ocean model (<a href="https://www.nemo-ocean.eu/">https://www.nemo-ocean.eu/</a>) on surface particle simulations are tested in a case study for the Mediterranean Sea. The tutorial consists of two jupyter notebooks: Parcels_CalcTraj.ipynb and CompTraj_uncoupledVScoupled.ipynb. Parcels_CalcTraj.ipynb calculates Lagrangian particle trajectories based on velocity output from ocean only as well as coupled ocean-wave model simulation by making use of the OceanParcels software (<a href="https://oceanparcels.org/">https://oceanparcels.org/</a>). CompTraj_uncoupledVScoupled.ipynb compares dispersal statistics of Lagrangian particle trajectories calculated from ocean-only vs coupled ocean-wave model simulations.</p> <p>This repository contains the surface velocity and ocean model grid data needed to run Parcels_CalcTraj.ipynb, as well as the trajectory data produced by Parcels_CalcTraj.ipynb, which is needed to run CompTraj_uncoupledVScoupled.ipynb. The surface velocity data stems from two simulations with a regional high-resolution (1/24° horizontal resolution) model configuration for the Mediterranean Sea: a coupled ocean-wave model simulation and a complimentary ocean-only simulation. These model simulations make use of the NEMO v4.2-RC ocean model, the Wave Watch 3 v.6.07 wave model, the OASIS3-MCT coupler, and ECMWF atmospheric fields; they are described in detail in IMMERSE deliverable D5.7 “Assessment of wave-current effects on the circulation in theMed-MFC system”<strong>.</strong></p>
User Study Data for Paper "A case study in designing trustworthy interactions: implications for socially assistive robotics"
<p>Experimental data collected for the user study described in Frontiers paper "A case study in designing trustworthy interactions: implications for socially assistive robotics" by Mengyu Zhong et al. Citation: <i>Zhong, Mengyu, et al. "A case study in designing trustworthy interactions: implications for socially assistive robotics." Frontiers in Computer Science 5.1152532 (2023). </i></p>
Exit poll survey data from users of Helsinki University Library
<p>Survey data from exit poll user surveys at five Helsinki University Library locations collected from 2015 to 2016. Patrons coming out the library premises were asked about their user category (student at the University of Helsinki, researcher or lecturer, student at another institution, other library user) and the reason for their library visit. Also the duration of the visit was noted and wether they needed help during their stay at the library. The file contains 3084 rows of tabular data in CSV format. The language is Finnish.</p>
Data and results for the paper: "From Bugs to Benefits: Improving User Stories by Leveraging Crowd Knowledge with CrUISE-AC"
<div> <div>We provide the following files used in the study "From Bugs to Benefits: Improving User Stories by Leveraging Crowd Knowledge with CrUISE-AC".</div> <div>The paper has been accepted for presentation in the research track of the IEEE/ACM International Conference on Software Engineering (ICSE) 2025 and will be included in the conference proceedings.</div> <div>The preprint is available on <a href="http://arxiv.org/abs/2501.15181" target="_blank" rel="noopener">arXiv</a>.</div> <br> <div><strong>User stories e-commerce.xlsx</strong></div> <div>307 real-world user stories from 3 different eCommerce projects.</div> <br> <div><em>Project A</em> defines a complete set of requirements for a B2C focused onlineshop of a publishing house who aims do sell his own publications directly.</div> <div><em>Project B</em> contains a partial set of requirements for a B2C focused onlineshop of a bookseller.</div> <div><em>Project C</em> includes a subset of B2C and B2B requirements for an online bookstore, supplemented by an eProcurement module designed to provide information and automation for industrial customers.</div> <div>Most of the user stories come with additional acceptance criteria, written in unstructured natural language.</div> <br> <div>The user stories have been anonymized and the merchant's real names were replaced with neutral terms.</div> <br> <div>Columns</div> <div>- ID: a unique ID we assigned across all projects</div> <div>- Project: user story belongs to project A, B or C</div> <div>- Connextra: user story in connextra pattern</div> <div>- Acceptance Criteria: acceptance criteria that came with the user story</div> <br> <div><strong>User stories CMS.xlsx</strong></div> <div>34 CMS related user stories from a dataset that was originally created by</div> <div>*Lucassen, G., Dalpiaz, F., van der Werf, J.M.E., Brinkkemper, S.: Visualizing user</div> <div>story requirements at multiple granularity levels via semantic relatedness. In: Con-</div> <div>ceptual Modeling: 35th International Conference, ER 2016, Gifu, Japan, November</div> <div>14-17, 2016, Proceedings 35. pp. 463–478. Springer (2016)*</div> <br> <div>Columns</div> <div>- ID: a unique ID we assigned</div> <div>- Connextra: user story in connextra pattern</div> <br> <div><strong>Issues e-commerce.xlsx</strong></div> <div>54,396 issues, we harvested from seven different issue trackers between June 2011 and July 2024</div> <div>- magento2 (https://github.com/magento/magento2/issues)</div> <div>- nopCommerce (https://github.com/nopSolutions/nopCommerce/issues)</div> <div>- OpenCart (https://github.com/opencart/opencart/issues)</div> <div>- PrestaShop (https://github.com/PrestaShop/PrestaShop/issues)</div> <div>- Shopware5 (https://issues.shopware.com/?products=SW-5)</div> <div>- Shopware6 (https://issues.shopware.com/?products=SW-6)</div> <div>- WooCommerce (https://github.com/woocommerce/woocommerce/issues)</div> <br> <div>Columns</div> <div>- id: unique ID we have assigned</div> <div>- Issue Tracker: issue tracker this issue originates from</div> <div>- Title: title of the original issue</div> <div>- Body: body / description of the original issue</div> <div>- Preprocessed: result of preprocessing the issue as described in the paper</div> <div>- Sample: issue was part of our 3,500 sample issues we used to evaluate CrUISE-AC</div> <br> <div><strong>Issues CMS.xlsx</strong></div> <div>64,500 issues, we harvested from two different issue trackers between April 2002 and August 2024</div> <div>- Moodle (https://github.com/magento/magento2/issues)</div> <div>- Umbraco (https://github.com/nopSolutions/nopCommerce/issues)</div> <br> <div>Columns are the the same as for "Issues e-commerce.xlsx"</div> <br> <div><strong>trivia-trainingdata.csv</strong></div> Manually labelled dataset to train the trivia classifier. <div>The dataset contains 1916 phrases with an even distribution of 958 trivia and 958 non-trivia phrases.</div> <br> <div>- Label = 1: this sentence is trivia</div> <div>- Label = 0: this sentence is not considered trivia</div> <br> <div>Any source code was replaced by [CODE] to simplify the classification process. Source code in markdown could be identified easily as it is enclosed by a special character https://docs.github.com/en/get-started/writing-on-github/working-with-advanced-formatting/creating-and-highlighting-code-blocks</div> <br><strong>Prompts</strong><br> <div><em>prompt_match.txt</em>: prompt we used across all LLMs to assess, if an issue potentially might affect a given user story</div> <em>prompt_generate.txt</em>: GPT4-turbo prompt to convert an issue text into gherkin-style acceptance criteria for a given user story<br> <div><em>prompt_evaluate.txt</em>: GPT4-turbo prompt to assess the usefulness of a newly generated acceptance criteria for a given user story</div> <br> <div><strong>Evaluation e-commerce.xlsx</strong></div> issue / user story pairs, generated acceptance criteria and result of manual evaluation.<br> <div> </div> <div>Columns</div> <div>- StoryID: unique ID of the user story (refer to User stories e-commerce.xlsx)</div> <div>- IssueID: unique ID of the issue (refer to Issues e-commerce.xlsx)</div> <div>- Issue: preprocessed issue text used as basis to generate the acceptance criterion</div> <div>- Connextra: user story in connextra pattern</div> <div>- Existing AC: acceptance criteria that originally came with the user story</div> <div>- AC: by CrUISE-AC generated acceptance criterion</div> <div>- AC_Explanation: explanation generated by CrUISE-AC why this AC adds new knowledge to the current user story</div> <div>- E1: evaluation result by expert 1 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- E2: evaluation result by expert 2 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- E3: evaluation result by expert 3 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- E4: evaluation result by expert 4 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- 3/4 majority: did at least 3 experts assess this AC as relevant (1 = yes; 0 = no)</div> <br> <div><strong>Evaluation CMS.xlsx</strong></div> <div>- StoryID: unique ID of the user story (refer to User stories CMS.xlsx)</div> <div>- IssueID: unique ID of the issue (refer to Issues CMS.xlsx)</div> <div>- Issue: preprocessed issue text used as basis to generate the acceptance criterion</div> <div>- Connextra: user story in connextra pattern</div> <div>- AC: by CrUISE-AC generated acceptance criterion</div> <div>- AC_Explanation: explanation generated by CrUISE-AC why this AC adds new knowledge to the current user story</div> <div>- E1: evaluation result by expert 1 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- E4: evaluation result by expert 4 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- E5: evaluation result by expert 5 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- 2/3 majority: did at least 2 experts assess this AC as relevant (1 = yes; 0 = no)</div> </div>
Citizen science at public libraries: Data on librarians and users perceptions of participating in a citizen science project in Catalunya, Spain
<p>As libraries struggle to keep pace with the changing societal landscape, emerging practices such as citizen science (CS) initiatives are being incorporated to reinforce the idea of public libraries as gathering, meeting, and collaboration spaces within the context of shared community and shared learning resources. However, there is little empirical evidence of whether the most open and participatory ways that CS puts forward can converge with and be nurtured by the essence of public libraries. Also, the roles of librarians and users in the ‘next generation public library’ have been under-developed. As the number of CS initiatives at public libraries grows, so does the need to collect evidence on the impact and the capacity of assimilation of CS practices. The data describes librarians and users' perceptions of participating in a citizen science project. Two hands-on activities for librarians of the Barcelona Network of Public Libraries were implemented. One was a training course for 30 librarians from 24 libraries which allowed them to envisage citizen science implementation in each library. The second activity consisted in the co-creation of a citizen social science project. 40 library users, 7 librarians from 3 different cities, and professional scientists, were involved. The data on librarians and users' perception was collected through participant observation, surveys, and a focus group to identify strengths and challenges of implementing citizen science at public libraries. The data covers librarians and users attitudes towards citizen science, their motivations to participate, their perceived ability to implement a citizen science project (as for librarians) or to contribute to science (as for library users), and the participants intention to keep engaged with citizen science, drawing on the Theory of Planned Behavior. Responses to closed-ended survey questions are analyzed at a descriptive level. The qualitative feedback from the focus group and the open-ended survey question on motivations is subjected to a thematic analysis. The data offers interesting insights to identify opportunities and challenges of implementing citizen science at public libraries, contributing to the debate over the public library's mission as local community hub.</p> <p>The dataset is formed by 5 tables:</p> <ol> <li>Librarians_pre.csv: data on librarians profiles, attitudes towards citizen science, expected impact of the project and self-efficacy collected at the beginning of the Citizen Science Lab.</li> <li>Librarians_post.csv: data on librarians profiles, attitudes towards citizen science, perceived impact of the project and self-efficacy collected at the end of the Citizen Science Lab.</li> <li>Users_first_phase.csv: data on users profiles, motivation, attitudes towards the library, confidence to perform scientific tasks and self-efficacy collected at the beginning of the Science and Citizen Action.</li> <li>Users_second_phase.csv: data on users profiles and motivation collected at the middle of the Science and Citizen Action.</li> <li>Users_last_phase.csv: data on users profiles, attitudes towards the library, confidence to perform scientific tasks and perceived impact of the project collected at the end of the Science and Citizen Action.</li> </ol> <p><strong>Citizen Science Lab Questionnaire (Librarians_pre)</strong></p> <table> <tbody> <tr> <td> <p><strong>Personal information</strong></p> </td> </tr> <tr> <td> <p>1. [rol_1] What is your role at the library?</p> </td> <td> <ul> <li>Director</li> <li>Library technician</li> <li>Support technician</li> <li>Service support</li> </ul> </td> </tr> <tr> <td> <p>2. [years_1] How long have you been working at the library?</p> </td> <td> <ul> <li>2 or less</li> <li>3 to 5 years</li> <li>6 to 10 years</li> <li>11 to 20 years</li> <li>more than 20 years</li> </ul> </td> </tr> <tr> <td> <p>3. [back_1] Do you have a scientific background?</p> </td> <td> <ul> <li>Yes</li> <li>No</li> </ul> </td> </tr> <tr> <td> <p>4. [know_1] Have you already heard about citizen science?</p> </td> <td> <ul> <li>Yes</li> <li>No</li> </ul> </td> </tr> <tr> <td> <p>5. [part_1] Have you already participated in a citizen science project?</p> </td> <td> <ul> <li>Yes</li> <li>No</li> </ul> </td> </tr> <tr> <td> <p><strong>Attitudes towards users engagement</strong></p> </td> </tr> <tr> <td> <p>6. [att_lib_pre1] Do you believe that library users are able to participate in a citizen science project?</p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4 [Totally]</li> </ul> </td> </tr> <tr> <td> <p>7. [att_lib_pre2] Do you believe that library users will commit to participating in a citizen science project?</p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4 [Totally]</li> </ul> </td> </tr> <tr> <td> <p><strong>Expected impacts</strong></p> </td> </tr> <tr> <td> <p>8. [exp_lib_pre] To what extent do you believe that citizen science may bring positive impacts to your library?</p> <p> </p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4</li> <li>5 [Totally]</li> </ul> </td> </tr> <tr> <td> <p><strong>Self-efficacy</strong></p> </td> </tr> <tr> <td> <p>9. [se_lib_pre1] Right now, do you feel able to recommend any citizen science project to library users?</p> </td> <td> <ul> <li>Yes</li> <li>No</li> </ul> </td> </tr> <tr> <td> <p>10. [se_lib_pre2] Right now, do you feel able to implement yourself and lead a citizen science project?</p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4 [Totally]</li> </ul> </td> </tr> </tbody> </table> <p><strong>Citizen Science Lab Questionnaire (Librarians_post)</strong></p> <table> <tbody> <tr> <td> <p><strong>Personal information</strong></p> </td> </tr> <tr> <td> <p>1. [years_2] How long have you been working at the library?</p> </td> <td> <ul> <li>2 or less</li> <li>3 to 5 years</li> <li>6 to 10 years</li> <li>11 to 20 years</li> <li>more than 20 years</li> </ul> </td> </tr> <tr> <td> <p>2. [back_2] Do you have a scientific background?</p> </td> <td> <ul> <li>Yes</li> <li>No</li> </ul> </td> </tr> <tr> <td> <p>3. [sat_1] To what extent does the project meet your initial expectations?</p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4</li> <li>5 [Totally]</li> </ul> </td> </tr> <tr> <td> <p><strong>Attitudes towards users engagement</strong></p> </td> </tr> <tr> <td> <p>4. [att_lib_post1] Do you believe that library users will commit to participating in a citizen science project?</p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4 [Totally]</li> </ul> </td> </tr> <tr> <td> <p>5. [att_lib_post2] What are/could be the potential barriers to users engagement in citizen science?</p> </td> <td> <p>[open]</p> </td> </tr> <tr> <td> <p><strong>Perceived impact</strong></p> </td> </tr> <tr> <td> <p>6. [imp_lib] What do you believe that citizen science may bring to public libraries and users?</p> <p>1 [Not at all] …… 5 [Totally]</p> <p> </p> </td> <td> <p>a. Knowledge of the scientific process</p> <p>b. New connections among participants </p> <p>c. Fun</p> <p>d. New knowledge of the local environment</p> <p>e. Scientific evidence on a common concern</p> <p>f. Social cohesion</p> <p>g. Positive attitudes towards science</p> <p>h. Willingness to learn</p> <p>i. Critical thinking and self-efficacy</p> </td> </tr> <tr> <td> <p><strong>Self-efficacy</strong></p> </td> </tr> <tr> <td> <p>8. [se_lib_post1] Right now, do you feel able to recommend any citizen science project to library users?</p> </td> <td> <ul> <li>Yes</li> <li>No</li> </ul> </td> </tr> <tr> <td> <p>9. [se_lib_post2] Right now, do you feel able to implement yourself and lead a citizen science project?</p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4 [Totally]</li> </ul> </td> </tr> <tr> <td> <p><strong>Intention to keep engaged</strong></p> </td> </tr> <tr> <td> <p>10. [eng_lib] To what extent are you motivated to keep engaged with citizen science?</p> <p> </p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4</li> <li>5 [Totally]</li> </ul> </td> </tr> </tbody> </table> <p> </p> <p><strong>Science and Citizens Action Focus group guide (Librarians)</strong></p> <p><strong>Opening questions</strong></p> <p><strong>1.</strong> To start with…. Are you satisfied with the project?</p> <p><strong>Probe</strong><strong>:</strong> Yes, no, why? Was it fun/interesting/challenging/enriching….</p> <p><strong>2.</strong> Do you feel you have learned something new?</p> <p><strong>Probe</strong><strong>:</strong> About your library’s environment, users, science and citizen science... Is there anything special that you will take with you after the project?</p> <p><strong>Reflections on the cocreation process</strong></p> <p><strong>3.</strong> At what time during the project have you felt most comfortable?</p> <p><strong>Probe:</strong> For example, has it been easier to lead the activity and/or involve and retain the community? Did you find it entertaining?</p> <p><strong>4.</strong> At what time during the project have you felt less at ease?</p> <p><strong>Probe</strong><strong>:</strong> What was challenging during the cocreation process?</p> <p><strong>5.</strong> To what extent do you feel more capable of implementing and leading a citizen science project in your library right now?</p> <p><strong>Probe: </strong>For example, in the case of both more crowdsourcing and of cocreated projects that actively involve the community</p> <p><strong>Reflections on the perceived impact</strong></p> <p><strong>6. </strong>To what extent does the project meet your initial expectations?</p> <p><strong>Probe</strong><strong>:</strong> in line with what you discussed at the beginning of the project, you expected it to promote participation, new connections among participants, improve the library perceptions and stimulate the participants’ critical thinking...Do you think that citizen science may meet these expectations?</p> <p><strong>Reflections on citizen science at public libraries</strong></p> <p><strong>7.</strong> To what extent can citizen science (in its most ‘extreme’ form of participation) be imagined as an activity within the library that promotes more active user participation?</p> <p><strong>Probe</strong><strong>:</strong> Through for example cocreation, experimentation, and hands-on learning activities...</p> <p><strong>8. </strong>Do you think that the activity has brought new knowledge? What new knowledge has the activity brought from your perspective?</p> <p><strong>Probe</strong><strong>:</strong> Knowledge of the scientific process, knowledge of the community or new users...</p> <p>9. What could be the opportunities and barriers of introducing citizen science at public libraries? And the barriers?</p> <p><strong>Probe:</strong> Like for example improving the perception of the library, actively involving certain users...What could be the ‘return’ for the community? What impact can citizen science projects have on making the environment more dynamic from libraries?</p> <p><strong>10. </strong>More generally, what could be the ‘added value’ of the introduction of citizen science within the library’s range of activities?</p> <p><strong>Probe:</strong> Is it a fun activity that promotes socialization, for example? Or that allows to generate new knowledge? Or that highlights the library’s social value? Or, also, that may offer new uses and new roles to the library? Can it foster a sense of community with the library as a connector? What other impacts can be generated in your environment?</p> <p><strong>Closing</strong></p> <p><strong>11.</strong> Do you see yourselves the next year, implementing a citizen science project as part of the library’s range of activities? And adopting an existing one?</p> <p><strong>Probe: </strong>Are you motivated to get more involved with citizen science projects? What kind of projects? What level of user involvement do you expect? What barriers do you see to users’ involvement? What benefits and opportunities do you think you can bring to the library?</p> <p><strong>12.</strong> We have now reached the end of the discussion. Anyone want to add anything else?</p> <p><strong>Science and Citizens Action Questionnaire (Users_first_phase)</strong></p> <table> <tbody> <tr> <td> <p><strong>Personal information</strong></p> </td> </tr> <tr> <td> <p>1. [gen_1] Are you..?</p> </td> <td> <ul> <li>Woman</li> <li>Man</li> <li>NA</li> </ul> </td> </tr> <tr> <td> <p>2. [years_3] How old are you?</p> </td> <td> <ul> <li>18-25</li> <li>26-35</li> <li>36-45</li> <li>46-55</li> <li>56-65</li> <li>66+</li> </ul> </td> </tr> <tr> <td> <p>3. [rol_2] What is your role at the library?</p> </td> <td> <ul> <li>Library user not associated with local associations</li> <li>Library technician</li> <li>Member of a local association</li> <li>Representative of public administrations</li> <li>Representative of the private sector</li> <li>Others:</li> </ul> </td> </tr> <tr> <td> <p>4. [back_3] Do you have a scientific background?</p> </td> <td> <ul> <li>Yes</li> <li>No</li> </ul> </td> </tr> <tr> <td> <p>5. [part_2] Have you already participated in a citizen science project?</p> </td> <td> <ul> <li>Yes</li> <li>No</li> </ul> </td> </tr> <tr> <td> <p><strong>Motivations to participate</strong></p> </td> </tr> <tr> <td> <p>6. [mot_us] What did motivate you to participate in the project?</p> </td> <td> <p>[open]</p> </td> </tr> <tr> <td> <p><strong>Attitudes towards the library</strong></p> </td> </tr> <tr> <td> <p>7. [att_us_pre1] To what extent do you believe that your library is responsive to the community needs?</p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4 [Totally]</li> </ul> </td> </tr> <tr> <td> <p>8. [att_us_pre2] To what extent to you believe your library is able to face local challenges based on users' active participation?</p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4</li> <li>5 [Totally]</li> </ul> </td> </tr> <tr> <td> <p><strong>Confidence to perform scientific tasks</strong></p> </td> </tr> <tr> <td> <p>9. [conf_us_pre] To what extent do you feel able to contribute to perform the following scientific tasks:</p> <p>1 [Not at all] …… 4 [Totally]</p> </td> <td> <p>a. Formulate the research question</p> <p>b. Data collection</p> <p>c. Analysis and interpretation of the results</p> <p>d. Propose concrete actions based on scientific evidence</p> </td> </tr> <tr> <td> <p><strong>Self-efficacy</strong></p> </td> </tr> <tr> <td> <p>10. [se_us_pre] To what extent do you feel able to positively contribute to the library and your community?</p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4 [Totally]</li> </ul> </td> </tr> </tbody> </table> <p><strong>Science and Citizens Action Questionnaire (Users_second_phase)</strong></p> <table> <tbody> <tr> <td> <p><strong>Personal information</strong></p> </td> </tr> <tr> <td> <p>1. [gen_3] Are you..?</p> </td> <td> <ul> <li>Woman</li> <li>Man</li> <li>NA</li> </ul> </td> </tr> <tr> <td> <p>2. [years_5] How old are you?</p> </td> <td> <ul> <li>18-25</li> <li>26-35</li> <li>36-45</li> <li>46-55</li> <li>56-65</li> <li>66+</li> </ul> </td> </tr> <tr> <td> <p>3. [rol_4] What is your role at the library?</p> </td> <td> <ul> <li>Library user or technician not associated with local associations</li> <li>Member of a local association</li> <li>Representative of public administrations</li> <li>Representative of the private sector</li> <li>Others:</li> </ul> </td> </tr> <tr> <td> <p>3. [back_5] Do you have a scientific background?</p> </td> <td> <ul> <li>Yes</li> <li>No</li> </ul> </td> </tr> <tr> <td> <p>4. [mot_us2] To what extent are you motivated to carry out the experiment?</p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4</li> <li>5 [Totally]</li> </ul> </td> </tr> </tbody> </table> <p><strong>Science and Citizens Action Questionnaire (Users_last_phase)</strong></p> <table> <tbody> <tr> <td> <p><strong>Personal information</strong></p> </td> </tr> <tr> <td> <p>1. [gen_2] Are you..?</p> </td> <td> <ul> <li>Woman</li> <li>Man</li> <li>NA</li> </ul> </td> </tr> <tr> <td> <p>2. [years_4] How old are you?</p> </td> <td> <ul> <li>18-25</li> <li>26-35</li> <li>36-45</li> <li>46-55</li> <li>56-65</li> <li>66+</li> </ul> </td> </tr> <tr> <td> <p>3. [rol_3] What is your role at the library?</p> </td> <td> <ul> <li>Library user or technician not associated with local associations</li> <li>Member of a local association</li> <li>Representative of public administrations</li> <li>Representative of the private sector</li> <li>Others:</li> </ul> </td> </tr> <tr> <td> <p>3. [back_4] Do you have a scientific background?</p> </td> <td> <ul> <li>Yes</li> <li>No</li> </ul> </td> </tr> <tr> <td> <p>4. [part_3] To how many cocreation sessions have you participated?</p> </td> <td> <ul> <li>None</li> <li>1</li> <li>2</li> <li>3</li> </ul> </td> </tr> <tr> <td> <p>5. [sat_2] To what extent are you satisfied with the experiment?</p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4</li> <li>5 [Totally]</li> </ul> </td> </tr> <tr> <td> <p><strong>Attitudes towards the library</strong></p> </td> </tr> <tr> <td> <p>6. [att_us_post] To what extent do you believe that the project has positively changed your perception of the library?</p> </td> <td> <ul> <li>1 [Not at all]</li> <li>2</li> <li>3</li> <li>4</li> <li>5 [Totally]</li> </ul> </td> </tr> <tr> <td> <p><strong>Confidence to perform scientific tasks</strong></p> </td> </tr> <tr> <td> <p>7. [conf_us_post] To what extent do you feel able to contribute to perform the following scientific tasks:</p> <p>1 [Not at all] …… 5 [Totally]</p> </td> <td> <p>a. Formulate the research question</p> <p>b. Data collection</p> <p>c. Analysis and interpretation of the results</p> <p>d. Propose concrete actions based on scientific evidence</p> </td> </tr> <tr> <td> <p><strong>Perceived impact</strong></p> </td> </tr> <tr> <td> <p>8. [imp_us] What do you believe that citizen science may bring to public libraries and users?</p> <p>1 [Not at all] …… 5 [Totally]</p> <p> </p> </td> <td> <p>a. Knowledge of the scientific process</p> <p>b. New connections among participants </p> <p>c. Fun</p> <p>d. New knowledge of the local environment</p> <p>e. Scientific evidence on a common concern</p> <p>f. Social cohesion</p> <p>g. Positive attitudes towards science</p> <p>h. Willingness to learn</p> <p>i. Critical thinking and self-efficacy</p> </td> </tr> </tbody> </table> <p> </p>
Supplementary data to the Baseline Methodological User Needs Analysis
<p>Supplementary data to the Baseline Methodological User Needs Analysis</p>
Replication data for: Enhancing user awareness on inferences obtained from fitness trackers data
<p>Survey results and fitness trackers datasets used for the evaluation of PrivacyEnhAction application.</p>
Data for research article "Privacy Explanations – A Means to End-User Trust"
<p>Research data for article "<strong>Privacy Explanations – A Means to End-User Trust</strong>". This package includes the survey and its results.</p>
Disentangling Web Search on Debated Topics - User Study Data
<p>Data of an exploratory, open-ended user study (N = 255) to advance knowledge and uncover relations between the different facets of web search on debated topics. We explored the relations between factors inherent to the searcher and search system (user characteristics, exposure bias), search intercations (confirmation bias, position bias, search effort), and post-search epistemic states (attitude change, knowledge gain). This data set contains the following variables for each of the 255 participants: SERP ranking bias, prior knowledge, attitude strength, receptiveness to opposing views, attitude-confirming clicks, click rank deviation, number of clicks, time on SERP, hover depth, attitude change, knowledge gain.</p>
Unveiling Perspectives - user study data
<p>Data collected with a user study (N=198), investigating how search behavior when searching on debated topics is affected by stance labels that indicate the stance of each search result. The data set contains independent (SERP display condition, SERP ranking condition), dependent (clicking diversity), and exploratory variables (number of clicks on neutral/opposing/supporting search results, mean click viewpoint, number of clicks, mean click rank, task completion time, attitude change, topic) .</p> <p> </p>
Code and Data for the Study "A User-Centric Model of Connectivity in Street Networks"
<p>This resource contains the code and results used in the paper:</p> <p>Corcoran, P. and R. Lewis (Pending) “A User-Centric Model of Connectivity in Street Networks”</p> <p>Please consult <strong>UserGuide.pdf</strong> for further information. </p>
5G-IANA: UC4 Dataset Mobile users data rate participating in the use case
<p>Location of the mobile user and its nearby place data including their type such as restaurant, café, market, banks and gas station</p>
Data for "Is Stack Overflow in Portuguese attractive for Brazilian Users?"
<p>Data for Botto-Tobar et al. Is Stack Overflow in Portuguese attractive for Brazilian Users?. ICGSE 2018.</p> <p>This data was built based on data dump from Stack Exchange (https://stackexchange.com) website. It contains two separate databases (Stack Overflow in English and Stack Overflow in Portuguese):</p> <ul> <li>Users</li> <li>Posts, decomposed by Answers and Questions</li> <li>Tags</li> <li>PostTags</li> <li>GenderUser</li> <li>UserLocation</li> </ul> <p>For more information, please visit http://www.win.tue.nl/~mbottoto/files/papers/conference_papers/sopt_icgse2018.pdf or write to <em>m.a.botto.tobar@tue.nl</em></p> <p> </p>
Supporting data for: "Diaphysator: an online application for the exhaustive cartography and user-friendly statistical analysis of long bone diaphyses"
<p>Example of dataset to be used with the R-shiny application “Diaphysator”, composed of right tibiae and femora.</p> <p>These data file have been published in: Lacoste Jeanson, A., Santos, F., Villa, C., Banner, J., & Bruzek, J. (2018). Architecture of the femoral and tibial diaphyses in relation to body mass and composition: Research from whole-body CT. <em>American Journal of Physical Anthropology</em>, 167, 813– 826. doi: <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/ajpa.23713">10.1002/ajpa.23713</a></p> <p>This zip file contains:</p> <ul> <li>an “Information file” in CSV format</li> <li>various data files for human femora and tibiae in CSV format</li> </ul> <p>For all CSV files, the field separator is the comma “,” and the character used for decimal points is the dot “.”</p>
Qualitative Interview Data: Users and therapists perceptions of myoelectric multi-function upper limb prostheses with direct and pattern recognition control
<p>The data uploaded here were collected in 2016/2017 through semi-structured interviews with prosthesis users and hand therapists. Participants were mainly asked about satisfaction with their prosthetic device and about activities which they perform with the prosthesis. Interviews were conducted in Dutch and German language.</p> <p>All interview data are made publicly available, except for data of prosthesis users who were experienced with pattern recognition control (n=4). Due to the small number of these participants, their interview data is only available upon reasonable request to not compromise participant privacy. </p> <p> </p>
Doctoral Thesis Artifact "User-Centered Tool Design for Data-Flow Analysis"
<p>This artifact contains the evaluation data and source code accompanying the doctoral thesis "User-Centered Tool Design for Data-Flow Analysis" by Lisa Nguyen Quang Do. The artifact contains (1) the survey questions and anonymized answers of the surveys conducted during the thesis, (2) the user study questionnaires, results, and test applications of the user studies conducted for the thesis, (3) the source code of the research prototypes and video demonstrations of their interfaces, and (4) the benchmark suites used for the empirical evaluation of those prototypes.</p>
Results of user research project to understand data curation practices
<p>Supporting scalable curation is a part of the mission of the Elixir Data Platform.Thus far, we have established infrastructure capable of ingesting and aggregating text-mined outputs from multiple providers and making these available via an API. This public API is used by Europe PMC to display specific entities and relationships on full text articles (via the SciLite application). To ensure that the future development of this infrastructure meets the needs of curators, we first carried out user research to understand and identify common workflow patterns and practices via an observational study. Building on these outcomes, we then devised a curator community survey to more specifically understand which entity types, sections of a paper and tools are of top priority to address. The results of the project is presented here.</p>
Questionnaires answers and data processing for a mixed-presence user study with two wall-sized displays
<p>Questionnaire answers and data processing tabs that was part of a mixed-presence experiment with two wall-sized displays.<br>Was used for a study in Q4 2023. Accompanies a paper.<br>Complements the protocol for that study that can be found at https://zenodo.org/doi/10.5281/zenodo.12663837 and contains answers for the questionnaires that can be found at https://zenodo.org/doi/10.5281/zenodo.12664007</p>
DATA FOR STUDY OF PRIVACY ATTITUDE OF USERS OF SOCIAL NETWORKING SITES AND THEIR EXPECTATIONS FROM LAW IN INDIA
<p>In the present study, on Indian population a disproportionate, stratified, purposive, convenience mixed sampling technique has been adopted in order to ensure proper representation of all the stakeholders concerned with regard to the issue of data privacy in India among the population of the study. The stratified sampling technique is popularly used for a large size population and where it is desirable to purposively have an adequate representation of the all the sub-groups. It is estimated that there are about 0.2 million Law Enforcement Officers (Directors General of Police to Assistant Sub- Inspector), 2.2 million Legal Professionals, including 21,586 Judges, 1.5 million Academicians, about 5000 Information Assurance and Privacy Experts, and 450 million Internet Users in India, out of which 196 million use SNSs. It may be clarified here that all these stakeholders are not only the users of social networking sites but also Indian citizens who are stakeholders in enactment and implementation of the privacy law as and when it is enacted.</p> <p>Based on the size of the total population, a statistically adequate sample size of 385, having a 95 per cent Confidence Level, 5 per cent Margin of Error (Confidence Interval), 0.5 Standard Deviation, a 1.96 Z-score was calculated.</p> <p> </p> <p> </p> <p> </p>
Towards a Data-Driven Requirements Engineering Approach: Automatic Analysis of User Reviews
<p>6000 French user reviews from three applications on Google Play (Garmin Connect, Huawei Health, Samsung Health) are labelled manually. We selected four labels: rating, bug report, feature request and user experience.</p> <ul> <li><strong>Ratings</strong> are simple text which express the overall evaluation to that app, including praise, criticism, or dissuasion.</li> <li><strong>Bug reports</strong> show the problems that users have met while using the app, like loss of data, crash of app, connection error, etc.</li> <li><strong>Feature requests</strong> reflect the demande of users on new function, new content, new interface, etc.</li> <li>In <strong>user experience</strong>, users describe their experience in relation to the functionality of the app, how does certain functions be helpful.</li> </ul> <p>As we can observe from the following table, that shows examples of labelled user reviews, each review belongs to one or more categories.</p> <table> <tbody> <tr> <th>App</th> <th>Total</th> <th>Rating</th> <th>Bug report</th> <th>Feature request</th> <th>User experience</th> </tr> </tbody> <tbody> <tr> <td>Garmin Connect</td> <td>2000</td> <td>1260</td> <td>757</td> <td>170</td> <td>493</td> </tr> <tr> <td>Huawei Health</td> <td>2000</td> <td>1068</td> <td>819</td> <td>384</td> <td>289</td> </tr> <tr> <td>Samsung Health</td> <td>2000</td> <td>1324</td> <td>491</td> <td>486</td> <td>349</td> </tr> </tbody> </table> <p> </p> <h2>New Dataset</h2> <p>Based on this dataset, we developed a labeled dataset containing 6,000 English and 6,000 French reviews for classification, as well as 1,200 bilingual reviews for clustering. The new dataset has been made publicly available on Zenodo at the following link: <a href="../records/11066414">https://zenodo.org/records/11066414</a></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.