Documentation Index
Fetch the complete documentation index at: https://help.voxdash.com/llms.txt
Use this file to discover all available pages before exploring further.
Wizard 1 (Introduction)
- Title of this data project: Enter a clear and descriptive title for this dataset.
- Data project unique URL: Provide the unique URL for this dataset, if available.
- What is the format of the date?: Select all applicable technical formats in which the dataset is available. This includes file types (e.g., CSV, Excel, JSON), database exports, streaming formats, APIs, geospatial formats, and media types. Accurate format tags help users assess compatibility with their tools and workflows.
- When did the collection or production of this data project start? Enter the start date of the collection or production of this dataset.
- When did the collection or production of this data project end? Enter the end date of the collection or production of this dataset.
- Detailed description for your data project: Provide a detailed description of the dataset, including its purpose, scope, and key attributes.
Wizard 2 (Data Profile)
- Title of the Data Profile: A clear and concise name that accurately represents the data being profiled.
- Topics Covered by the Data Profile: The primary subjects or themes that the data encompasses.
- Geographical Regions Covered by the Data Profile: The specific locations or areas where the data was collected or is relevant.
- Relevant Data Types: The kinds of data included, such as qualitative, quantitative, structured, or unstructured data.
- Industry Sectors Applicable to the Data Profile: The business domains or industries that can benefit from the data.
- Primary Purpose of the Data Profile: The intended use cases for the data, such as market research, trend analysis, or operational insights.
- Data Collection/Creation Methods: The techniques used to gather or generate the data, such as surveys, sensors, or manual input.
- Keywords Associated with the Data Profile: Relevant terms that improve searchability and categorization of the profile.
- Detailed Description of the Data Profile: A comprehensive explanation of the data, including its sources, structure, and potential applications.
Wizard 3 (Vendor Info)
- Choose vendors: Select the vendor associated with this dataset from the available list or create a new one.
- Identity of these vendors regarding this your data project: Describe the role or relationship of the selected vendors concerning your datasets (e.g., data provider, processor).
Wizard 4 (Medias)
- Choose vendors: Select the vendor associated with this dataset from the available list or create a new one.
- Link: Enter the full URL of the institution’s official social media page or profile.
- Description: Provide a detailed description of the institution, including its mission, values, and key offerings.
Wizard 5 (Person Info)
- Choose Individuals: Select the individual associated with this dataset from the available list.
- Identity of these inividuals regarding this your data project: Describe the role or relationship of the selected individual concerning your datasets (e.g., data analyst, reviewer).
Wizard 6 (Limitations)
- Limitation on geographies: Here you can inform your users any limitations you want to impose based on geographies Select the countries or geographies where you do not want your data to be used. For example, you may restrict use in sensitive jurisdictions or where compliance rules apply. Leave empty if you do not wish to impose restrictions.
- Limitation on industry sectors: Here you can inform your users any limitations you want to impose based on industry sectors: Specify any Choose the industry sectors where your data should not be applied (for example, defense, gambling, advertising). This ensures your dataset is not misused in areas you want to avoid. Leave empty if you do not want to restrict sectors.limitations you wish to impose on your dataset based on intellectual property rights.
- Limitation on data purpose: Here you can inform your users of any limitations you want to impose based on the usage purpose of your data: Specify the purposes for which your data cannot be used (for example, commercial resale, marketing campaigns, accreditation processes). This helps clarify the ethical or legal boundaries for secondary use of your data. Leave empty if no restrictions are needed.
- Limitation on sub-license: Do you wish users to be able to sub-license your data project? Decide whether users are allowed to sub-license your dataset to third parties. For example: “No sub-licensing right” means only the original licensee can use the data. “Right for sub-licensing without restriction” allows them to grant usage rights to others. Choose the option that best aligns with your distribution and control preferences.
- Restriction: Specify any legal or usage restrictions on the data (e.g., embargo period, geographic limits, licensing terms). Leave blank if there are none.
- Citation requirement: Describe how this data should be cited if used. Include specific citation text or a DOI if available.
- Disclaimer: Provide any disclaimers related to data accuracy, completeness, or interpretation. This will be shown to end users.
Wizard 7 (Data Project Relation)
- Is this data project (or any file in it) using another data project, file, or API as its source? State whether this dataset (or any of its files) relies on another dataset, file, or API as an input source. For example, if your dataset merges external census data, administrative records, or API feeds, document it here to ensure transparency of origins and methods.
- Is any other data project, file, or API been using this data project as their source? Indicate whether any other dataset, file, or API has been using this dataset as a source. For example, if your dataset has been integrated into another study, platform, or data product, specify it here. This helps track downstream reuse and dependencies.
- Is this data project related to another data project, file, or API? (For example, if they use the same source.) Specify whether this dataset is related to another dataset, file, or API in a broader sense, even if not directly sourced. For example, it may be part of a multi-country study, a follow-up wave of a survey, or a companion dataset. Indicating these relationships helps users discover linked datasets and understand context.
Wizard 8 (Technical Contact)
- Technical contact first name: Enter the first name of the technical contact. This information will be visible to users.
- Technical contact last name: Enter the last name of the technical contact. This information will be visible to users.
- Technical contact email: Enter the email address of the technical contact. This information will be visible to users.
- Technical contact VoxDash first name: Enter the first name of the technical contact. This information will only be visible to VoxDash and will not be shown publicly.
- Technical contact VoxDash last name: Enter the last name of the technical contact. This information will only be visible to VoxDash and will not be shown publicly.
- Technical contact VoxDash email: Enter the email address for the technical contact. This information will only be visible to VoxDash and will not be shown publicly.
Wizard 9 (Data Project Info)
- Which specific quality standard or guideline document(s) were followed in collection of this data? List any relevant industry or regulatory standards that apply to this dataset.
- Please select all regulations or external obligations that apply to this data to inform your data users/client of such potential obligations. Select all legal or regulatory frameworks that apply to the dataset. This includes national, state, or sector-specific laws such as GDPR, HIPAA, CCPA, or FERPA that govern how the data must be collected, stored, processed, or shared. Accurate tagging supports compliance and informs users of restrictions.
- Please select all elements included in your data that might require regulatory awareness/protection or external obligations. Select all types of information included in the dataset. This may include personal, sensitive, regulated, or public data elements such as health records, financial data, geolocation, government IDs, or educational data. Accurate tagging ensures compliance and helps users understand data sensitivity.
- Please select the data confidentiality level relevant to this data project. Select all confidentiality levels that apply to this dataset. These labels reflect how sensitive or restricted the data is from public or open access to legally protected, regulated, or classified information. Tagging helps guide appropriate access, storage, and sharing policies.
- Please select the data integrity level relevant to this dataset. Select all applicable indicators of the dataset’s integrity such as whether it is validated, verified, complete, tamper-resistant, or compliant. These levels describe the trustworthiness, accuracy, and reliability of the data across its lifecycle and help downstream users assess risk and suitability.
- Please select the data availability Level relevant to this data project. Select all applicable indicators of how and when the dataset can be accessed. Availability levels describe uptime expectations, redundancy, latency, access restrictions, storage tier , geographic redundancy, and SLA commitments helping users understand access reliability and performance.
- Please select the data criticality level relevant to this data project. Data classification: Data criticality Level: How important is the data for everyday operations and business continuity?
- What is the format of this data project? Specify the file format(s) of this dataset (e.g., CSV, JSON, XML).
- Data license relevant to this data project. Specify the legal terms under which this dataset may be used, shared, or redistributed. This includes open licenses (e.g., Creative Commons), proprietary or restricted licenses, government frameworks, and custom agreements. Choosing the correct license clarifies usage rights for downstream users.
- Language(s) that data was created/collected in (if any). List the languages in which the data was created or collected, if applicable.
- If you produce this data project in a periodic fashion, please mention the frequency with which this data is produced or updated. If this dataset is produced periodically, specify the frequency (e.g., monthly, annually).
- Please provide anything further about the methodology utilized for the creation or collection of this data. Provide additional details about the methodology used to create or collect this dataset.
- Media reference(s): Provide references to any notable media coverage, research citations, or reports related to this dataset.
- Please provide anything further about the quality control procedures utilized for the creation or collection of this data. Describe any quality control procedures employed to ensure the dataset’s accuracy and reliability.
- Version of this data project: Enter the version number or label for this dataset (for example, “v1.0,” “2024-03 Release,” or “Wave 2”). Versioning helps track updates, corrections, or new waves of data collection. Providing a clear version ensures users can cite and reference the correct release, and it allows them to distinguish between earlier and later iterations of the dataset.
- Please provide any remaining notes you might want to share about this data. Share any additional notes or details you think are important about this dataset.
- Keywords best fitting to this data project. Add relevant keywords or phrases for example, “public opinion,” “COVID-19”, “youth employment,” “renewable energy”. Keywords make the dataset more searchable and ensure it appears in the right filter categories.
Wizard 10 (Terms and Conditions for Data Project)
- Previous terms and conditions: View the previous versions of terms and conditions that were applied to this data project.
- Terms and conditions title: Enter the title for the terms and conditions document.
- Version name: Specify the version name or number to track updates to the terms and conditions.
Wizard 11 (Citation)
- Citation type: Select the type of citation (e.g., book, article, dataset, report).
- Text: Enter the full text of the citation in the required format (e.g., APA, MLA, Chicago)
