Data source CSV columns

To convert SPARQL results into SKG-IF data sources, write the operation’s query so that its result variables match the column names listed below.

Official reference: Data source properties.

Column	Description	Example
local_identifier	Primary key; groups all rows for one data source	https://example.org/datasources/mitpress
name	Data source name	MIT Press
data_source_classification	Data source classification: repository, aggregator, scientific database, journal archive, publisher archive, or cris system	journal archive
research_product_types	Managed research product type: metadata, research data, literature, software, or any	literature
identifier_scheme	Identifier scheme for data sources: doi, handle, ivoid, openalex, opendoar, url, urn, or w3id	opendoar
identifier_value	The external identifier	2659

Both identifier_scheme and identifier_value must be non-empty for an identifier to be included; rows where either is empty are skipped.

Use one row per type, and RAMOSE collects the values without duplicates in the order in which they first appear.

Persistent identity systems

Both persistent_identity_system_for and persistent_identity_system_pid_scheme must have a value for the object to be included. RAMOSE groups rows by _persistent_identity_system_key, while it uses the research product type when that key is empty.

Column	Description	Example
_persistent_identity_system_key	Groups rows that describe one persistent identity system	literature_pids
persistent_identity_system_for	Research product type: literature, research data, software, metadata, or any	literature
persistent_identity_system_pid_scheme	Persistent identifier scheme: doi, handle, ror, orcid, isni, arxiv, pmcid, or ark	doi

Audience

Use one row per audience type.

Column	Description	Example
audience_type	Audience type: Global, National, Regional, Institution, Research Infrastructure, or e-Infrastructure	Global

Disciplines

Use one row per Library of Congress Classification code or all when the data source is not dedicated to a discipline; RAMOSE collects the values without duplicates in the order in which they first appear.

Column	Description	Example
disciplines	Library of Congress Classification code, or all	QC790.95-QC791.8

Policies

policy_about is required to create a policy object. RAMOSE groups rows by _policy_key and uses policy_about when that key is empty, so use one row per target.

Column	Description	Example
_policy_key	Groups rows that describe one policy	open_access_policy
policy_about	Policy type: submission, preservation, embargoed access, metadata only access, open access, or restricted access	open access
policy_target	Target research product type: metadata, research data, literature, software, or any	literature
policy_documented_at	URL of the document that describes the policy	https://example.org/open-access
policy_description	Policy description	Open-access policy