Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5
datasets available to search
ShareScore release 0.9.0
Dataset results
5 results for “language policies”
Cross-language corpora of privacy policies
<p>The dataset consists of three different privacy policy corpora (in English and Italian) composed of 81 unique privacy policy texts spanning the period 2018-2021. This dataset makes available an example of three corpora of privacy policies. The first corpus is the English-language corpus, the original used in the study by Tang et al. [2]. The other two are cross-language corpora built (one, the source corpus, in English, and the other, the replication corpus, in Italian, which is the language of a potential replication study) from the first corpus.</p> <p>The policies were collected from:</p> <ol> <li>the Alexa top 10 Italy and U.S. websites rank;</li> <li>the Play Store apps rank in the "most profitable games" category of the Play Store for Italy and the U.S.</li> </ol> <p>We manually analyzed the Alexa top 10 Italy websites as of November 2021. Analogously, we analyzed selected apps that, in the same period, had ranked better in the "most profitable games" category of the Play Store for Italy.</p> <p>All the privacy policies are ANSI-encoded text files and have been manually read and verified.<br> The dataset is helpful as a starting point for building comparable cross-language privacy policies corpora. The availability of these comparable cross-language privacy policies corpora helps replicate studies in different languages. <br> Details on the methodology can be found in the accompanying paper.</p> <p>The available files are as follows:</p> <ul> <li><strong>policies-texts.zip</strong> --> contains a directory of text files with the policy texts. File names are the SHA1 hashes of the policy text.</li> <li><strong>policy-metadata.csv</strong> --> Contains a CSV file with the metadata for each privacy policy.</li> </ul> <p>This dataset is the original dataset used in the publication [1]. The original English U.S. corpus is described in the publication [2].</p> <p>[1] F. Ciclosi, S. Vidor and F. Massacci. "Building cross-language corpora for human understanding of privacy policies." Workshop on Digital Sovereignty in Cyber Security: New Challenges in Future Vision. Communications in Computer and Information Science. Springer International Publishing, 2023, In press.</p> <p>[2] J. Tang, H. Shoemaker, A. Lerner, and E. Birrell. Defining Privacy: How Users Interpret Technical Terms in Privacy Policies. Proceedings on Privacy Enhancing Technologies, 3:70–94, 2021.</p>
THE STATUS OF THE SERBIAN TERMINOLOGY DEFINED BY THE SERBIAN LANGUAGE POLICY THROUGHOUT ITS CONTEMPORARY AND FUTURE PLANS. AN OUTLINE OF ONE TERMINOLOGICAL ALGORITHM
<p>This lecture aims to point out the necessity of creating a digital terminology database of the Serbian professional terminology which would provide systematically collecting, inventory making, precise identifying, defining, linguistic analyzing and interpreting terminologies of different professions for making a stable ground for the codification and standardization of professional terminology of the Serbian language. It also implicitly points to a need to organize terminology workshops through which the experts that “build” vocabularies of their profession would become familiar with the basic principles of creating or designing terminology expressed in the work with the database via the network interface and thus become able to work on different professional terminologies. In addition, the paper suggests the most common mistakes in contemporary terminographic work as a result of lack of understanding of the meaning of inter- and multi-disciplinary approach to the study of terminology as a special branch of linguistic research.</p>
Influence of Family Language Policies on Language Proficiency across Generations: A Study of Russian-Speaking Families in Germany
Open the record for dataset details and reuse information.
Knowledge from non-English-language studies broadens contributions to conservation policy and helps to tackle bias in biodiversity data
Open the record for dataset details and reuse information.
European Language Resources Initiatives – Infrastructural and Policy Issues
<p>3<sup>rd </sup>Lecture</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.