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100 results for “request”
Requests for Euthanasia and Assisted Suicide
ClinicalTrials.gov study NCT02845817. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluating Effectiveness of Educational Intervention to Help Physicians Address Inappropriate Patient Requests for Direct-to-Consumer Advertised Prescription Medications
ClinicalTrials.gov study NCT00915291. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Requests for Voluntary Termination and Medical Termination of Pregnancy for Maternal, Psychological or Social Reasons At the Women's Center ( La Maison Des Femmes) in Saint-Denis :
ClinicalTrials.gov study NCT06708208. IPD Sharing: NO. Countries: 1. Publications: 0.
Study of the Life Stories of Patients Making a Request for Euthanasia, in the Context of Advanced Cancer.
ClinicalTrials.gov study NCT05884788. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Diagnosis Evaluation Made by Artificial Inteligence in Response to a Request Made by General Praticioner on OMNIDOC to the Dermatologist of the CHU of Nice. A Comparison of This Response by the One Ma
ClinicalTrials.gov study NCT07341906. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Influence of Immersion in Water During Labor on the Request of Epidural Anesthesia by Pregnant Women
ClinicalTrials.gov study NCT06036277. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluating Validity of Clinical Criteria for Requesting Chest X-Rays in Trauma Patients
ClinicalTrials.gov study NCT01134744. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of Collaborative Requesting on DCD Refusal Rates: Randomized Controlled Trial
ClinicalTrials.gov study NCT05660252. IPD Sharing: NO. Countries: 1. Publications: 0.
A dataset of Data Subject Access Request Packages
<h3>Overview</h3> <p>This dataset is a minimal example of Data Subject Access Request Packages (SARPs), as they can be retrieved under data protection laws, specifically the GDPR. It includes data from two data subjects, each with accounts for five major sevices, namely Amazon, Apple, Facebook, Google, and Linkedin.</p> <p> </p> <h3>Purpose and Usage</h3> <p>This dataset is meant to be an initial dataset that allows for manual exploration of structures and contents found in SARPs. Hence, the number of controllers and user profiles should be minimal but sufficient to allow cross-subject and cross-controller analysis. This dataset can be used to explore structures, formats and data types found in real-world SARPs. Thereby, the planning of future SARP-based research projects and studies shall be facilitated.<br><br>We invite other researchers to use this dataset to explore the structure of SARPs. The envisioned primary usage includes the development of user-centric privacy interfaces and other technical contributions in the area of data access rights. Moreover, these packages can also be used for examplified data analyses, although no substantive research questions can be answered using this data. In particular, this data does not reflect how data subjects behave in real world. However, it is representative enough to give a first impression on the types of data analysis possible when using real world data. </p> <h3> </h3> <h3>Data Generation </h3> <p>In order to allow cross-subject analysis, while keeping the re-identification risk minimal, we used research-only accounts for the data generation. A detailed explanation of the data generation method can be found in the paper corresponding to the dataset, accepted for the Annual Privacy Forum 2024.</p> <p>In short, two user profiles were designed and corresponding accounts were created for each of the five services. Then, those accounts were used for two to four month. During the usage period, we minimized the amount of identifying data and also avoided interactions with data subjects not part of this research. Afterwards, we performed a data access request via the controller's web interface. Finally, the data was cleansed as described in detail in the acconpanying paper and in brief within the following section.</p> <h3> </h3> <h3>Data Cleansing</h3> <p>Before publication, both possibly identifying information and security relevant attributes need to be obfuscated or deleted. Moreover, multi-party data (especially messages with external entities) must be deleted. If data is obfuscated, we made sure to substitute multiple occurances of the same information with the same replacement.<br>We provide a list of deleted and obfuscated items, the obfuscation scheme and, if applicable, the replacement.</p> <p>The list of obfuscated items looks like the following example:</p> <table> <tbody> <tr> <td>path</td> <td>filetype</td> <td>filename</td> <td>attribute</td> <td>scheme</td> <td>replacement</td> </tr> <tr> <td>linkedin\Linkedin_Basic</td> <td>csv</td> <td>messages.csv</td> <td>TO</td> <td>semantic description</td> <td>Firstname Lastname</td> </tr> <tr> <td>gooogle\Meine Aktivitäten\Datenexport</td> <td>html</td> <td>MeineAktivitäten.html</td> <td>IP Address</td> <td>loopback</td> <td>127.142.201.194</td> </tr> <tr> <td>facebook\personal_information</td> <td>json</td> <td>profile_information.json</td> <td>emails</td> <td>semantic description</td> <td>firstname.lastname@gmail.com</td> </tr> </tbody> </table> <h3> </h3> <h3>Data Characterization</h3> <p>To give you an overview of the dataset, we publicly provide some meta-data about the usage time and SARP characteristics of exports from subject A/ subject B.</p> <table> <tbody> <tr> <td>provider</td> <td>usage time<br>(in month)</td> <td>export options</td> <td>file types</td> <td># subfolders</td> <td># files</td> <td>export size</td> </tr> <tr> <td>Amazon</td> <td>2/4</td> <td>all categories</td> <td>CSV (32/49)<br>EML (2/5)<br>JPEG (1/2)<br>JSON (3/3)<br>PDF (9/10)<br>TXT (4/4)</td> <td>41/49</td> <td>51/73</td> <td>1.2 MB / 1.4 MB</td> </tr> <tr> <td>Apple</td> <td>2/4</td> <td>all data<br>max. 1 GB/ max. 4 GB</td> <td>CSV (8/3)</td> <td>20/1</td> <td>8/3</td> <td>71.8 KB / 294.8 KB</td> </tr> <tr> <td>Facebook</td> <td>2/4</td> <td> <p>all data</p> <p>JSON/HTML</p> <p>on my computer</p> </td> <td>JSON (39/0)<br>HTML (0/63)<br>TXT (29/28)<br>JPG (0/4)<br>PNG (1/15)<br>GIF (7/7)</td> <td>45/76</td> <td>76/117</td> <td>12.3 MB / 13.5 MB</td> </tr> <tr> <td>Google</td> <td>2/4</td> <td> <p>all data</p> <p>frequency once</p> <p>ZIP</p> <p>max. 4 GB</p> </td> <td>HTML (8/11)<br>CSV (10/13)<br>JSON (27/28)<br>TXT (14/14)<br>PDF (1/1)<br>MBOX (1/1)<br>VCF (1/0)<br>ICS (1/0)<br>README (1/1)<br>JPG (0/2)</td> <td>44/51</td> <td>64/71</td> <td>1.54 MB /1.2 MB</td> </tr> <tr> <td>LinkedIn</td> <td>2/4</td> <td>all data</td> <td>CSV (18/21)</td> <td>0/0 (part 1/2)<br>0/0 (part 1/2)</td> <td>13/18<br>19/21</td> <td> <p>3.9 KB / 6.0 KB</p> <p>6.2 KB / 9.2 KB</p> </td> </tr> </tbody> </table> <h3><br>Authors</h3> <p>This data collection was performed by Daniela Pöhn (Universität der Bundeswehr München, Germany), Frank Pallas and Nicola Leschke (Paris Lodron Universität Salzburg, Austria). For questions, please contact nicola.leschke@plus.ac.at.</p> <h3>Accompanying Paper</h3> <p>The dataset was collected according to the method presented in:<br>Leschke, Pöhn, and Pallas (2024). "How to Drill Into Silos: Creating a Free-to-Use Dataset of Data Subject Access Packages". Accepted for Annual Privacy Forum 2024.</p>
Pre-Approval Access Single Patient Request for Talquetamab in Relapsed or Refractory Multiple Myeloma
ClinicalTrials.gov study NCT05503550. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Pre-approval Access Single Patient Request for Niraparib / Abiraterone Acetate Combination (Nira/AA Combination)
ClinicalTrials.gov study NCT05401214. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Physician Initiated Expanded Access Request for Migalastat in Individual Patients With Fabry Disease
ClinicalTrials.gov study NCT01476163. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Compassionate Use Individual Request Program for GSK525762 in NUT Midline Carcinoma
ClinicalTrials.gov study NCT03702036. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Pre-approval Access Single Patient Request for Teclistamab (JNJ-64007957)
ClinicalTrials.gov study NCT05161598. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Portal 156 - Sao Paulo City population requests
Open the record for dataset details and reuse information.
On the Effectiveness of Dependabot Security Pull Requests
<p>This dataset contains the data files used to analyze our RQs in the manuscript "On the Effectiveness of Dependabot Security Pull Requests."</p> <p>For more information on how to understand the folder structure and dataset, please read the README.md.</p>
On the Effectiveness of Dependabot Security Pull Requests
<p>This dataset contains the data files used to analyze our RQs in the manuscript "On the Effectiveness of Dependabot Security Pull Requests."</p> <p>For more information on how to understand the folder structure and dataset, please read the README.md.</p>
pull request id for the dataset of "Pull Request Latency Explained: An Empirical Overview"
<p>This is used for research, which includes the pull request id.</p> <p>Researchers need to request the access.</p>
NASA Financial Budget Documents, Strategic Plans and Performance Reports 2008: NASA Budget Request
NASA Financial Budget Documents, Strategic Plans and Performance Reports for fiscal year 2008.
Testing visibility and request access.
Open the record for dataset details and reuse information.
ScienceDex guides
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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.