Project title |
name of the DataScientia project in a natural language as a string |
Project url |
this attribute encodes the dereferenciable URL of the DataScientia project |
Project webpage |
this attribute encodes the dereferenciable URL of the DataScientia project |
Project keywords |
list of keywords in a natural language to quickly understand the theme of the project |
Project type |
the type of the DataScientia project. e.g., Knowledge Resource Generation, Knowledge Resource Annotation, etc |
Project description |
description of the DataScientia project in a natural language, namely (i) the project name and objectives; (ii) the type of data collected; (iii) suggested reuse. |
Project start date |
the date of the commencement of a DataScientia project |
Project end date |
the date of conclusion of a DataScientia project |
Project funding agency |
the name of the agency or institution funding a DataScientia project and, if available, the grant agreement number. European projects also have a DOI, e.g., https://doi.org/10.3030/823783 |
Project input |
this (repeatable) attribute encodes the various inputs (e.g., datasets, specifications, etc.) with respect to a DataScientia project. |
Project output |
this (repeatable) attribute encodes the various outputs (e.g., datasets, domain languages, etc.) with respect to a DataScientia project. |
Project coordinator |
the name of the research coordinator in charge of a DataScientia project |
Project observations |
this attribute can be used to record any observations about a DataScientia project in a natural language. |
Project coordinator organization |
Institution of the ds:prjCoordinator |
Project project area |
Category of the project that pertains to the Catalog (LivePeople, LiveLanguage, LiveKnowledge, LiveData, LiveMedia). |
Project members |
Other members who took part in the project with roles other than the coordinator |
Project target location |
expected project data collection area |
Project target population |
Sociodemographic characteristics that were adopted as population inclusion criteria (e.g. gender, age, educational qualification, profession). Multiple options can be selected |
Project overall participants involved |
Total number of participants who were involved in the project |
Project selected participants |
Number of participants who have been selected for the project (less than or equal to ds:prjOverallPeopleInvolved), if the project has multiple phases |
Project type of measurements |
Survey methods that were used to collect participant data (i.e., Questionnaire, Structured Interview, Semi-Structured Interview, Participant Observation, Intensive Longitudinal Survey). Multiple options can be selected |
Project IRB approval date |
Date of Institutional review board (IRB) approval of the project |
Project IRB approval organization |
Institution to which the committee belongs to |
Project IRB approval number |
Number of protocol of the approval |
Project cite as |
Bibtext citation of the project |
Project maintenance |
description of the dataset maintenance process: how often is the dataset updated, how updates will be communicated, who is responsible for the updates, whether and how older versions will be supported |
Project latitude |
Latitude of the centroid of ds:prjTargetLocation (maily for visualization purposes on the catalog website) |
Project longitude |
Longitude of the centroid of ds:prjTargetLocation (maily for visualization purposes on the catalog website) |
Project documentation name |
Project documentation name |
Project additional material name |
Project additional material name |
Data name |
the name of the dataset in a natural language |
Data description |
a description of the dataset |
Data version |
the version of the dataset. The schema to follow is MAJOR.MINOR.PATCH as described https://semver.org/spec/v2.0.0.html |
Data publication timestamp |
the timestamp of the publication of the dataset in the respective catalog. |
Data license |
license of the dataset |
Data url |
the dereferenceable URL of the dataset |
Data keyword |
the keywords which can quickly convey the topic of the dataset |
Data publisher |
the publisher of the dataset |
Data creator |
the creator of the dataset. Individual member of the community or organization. |
Data owner |
the owner of the dataset. Individual member of the community or organization. |
Data language |
The language of the dataset (only if dataset type==Synchronic interaction | dataset type==Diachronic interaction). Recommended values are taken from https://en.wikipedia.org/wiki/List_of_ISO_639_language_codes. When not applicable use N/A |
Data level |
the knowledge level of the dataset, e.g., L1-2, L4 |
Data size |
the byte size of the dataset (e.g., the size of the file parquet) |
Data domain |
the domain to which the dataset belongs. Possible values are: Digital University, Territory & Society, Health |
Data file format |
type of the file using MIME format https://www.iana.org/assignments/media-types/media-types.xhtml |
Data detailed description |
links the dataset to its personalized project web page. Please note that is different from the ds:prjURL attribute, which links to the datascientia project on the community. |
Data download request |
email of the institution responsible for validating the download request and share the data or link to the form to fill |
Data conditions of access |
conditions that affect the availability of the data. E.g., only for scientific purposes |
Data genre |
Genre of the dataset: images, tabular data, geographical file |
Data is accessible for free |
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Data expires |
When the dataset is no longer available |
Data type |
The type of dataset |
Data sensor type |
The type of sensor (only if dataset type == Sensor) |
Data start date |
The begin of the data collection (i.e., the oldest date in the dataset) |
Data end date |
The end of the data collection (i.e., the most recent date in the dataset) |
Data five stars |
Ranking based on Tim Berners-Lee’s 5-star deployment scheme for Open Data (https://5stardata.info/en/). iLog data after the data preparation are 3 stars |
Data origin |
Origin of the data. Synthetic: generated from an algorithm. Direct observation: collected from humans through human behavior studies. Composition: dataset resulting from the composition of other datasets. Feature engineering: dataset as the result of features extraction or aggregation of existing datasets; |
Data creative work status |
Status of the data. Raw: no preprocessing has been performed. Cleaned: cleaning procedures has been applied to the raw data. Reduced: the data has been aggregated, e.g., to generate features. Enriched: contains additional data from third parties. |
Data download request name |
The name of the document to request the dataset |
Data documentation name |
link to the dataset documentation, e.g., techinical report describing the data collection (design, collection, preparation, main results) |
Data additional material name |
link to the materials used during the research (e.g., focus group tracks, interviews, and questionnaires) |
Data codebook name |
A codebook describes the contents of a data collection. A well-documented code- book contains information intended to be complete and self-explanatory for each variable in a dataset. |
Data identifier |
alpha numeric code identifing the resource (see Identifier sheet) |
Data changelog url |
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Data licence url |
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Data sha256 |
hash of the content of the file |
Data update timestamp |
last date the dataset has been updated |
Data based on |
A resource from which this work is derived or from which it is a modification or adaptation. It is a link to Dataset, Project, Url |
Data sensor name |
single sensor name |