{"doi":"10.5281/zenodo.28019","title":"Wg3-Metadataspecifications: Nih Bd2K Biocaddie Data Discovery Index Wg3 Metadata Specification V1","abstract":"Status: Version 1 - 12th August 2015 Working Group Goals: The NIH BD2K bioCADDIE Metadata Working Group (WG) 3 is tasked to define a set of metadata specifications that support intended capability of the NIH BD2K Data Discovery Index prototype - as outlined in the bioCADDIE White Paper. This is a joint activity between bioCADDIE and CEDAR, another BD2K centre focused on metadata. This joint Metadata WG3 operates in two phases to produce a ‘core metadata’ (phase 1), designed to be future-proofed for progressive extensions to accommodate ‘domain-specific metadata’ for more specialized data types (phase 2), as needed. Scope of the Document: This document describes the process, the material reviewed (section 1 and Appendix I) and the use cases (section 2) used to identify an initial set of metadata elements and create a JSON schemata (section 3 and Appendix II); this work will be iteratively reviewed, following a test phase. Associated Material: This document, its appendixes and the associated code are available from the bioCADDIE Github repository and the bioCADDIE Metadata WG3 webpage; the latter also serves the original working files, the presentations and notes from the WG3 activities. The schemas and models in Appendix I are also listed in the BioSharing Collection for bioCADDIE. Intended Audience: This document is primarily aimed at the bioCADDIE Core Development Team that will implement and test this model; however this is also informative for other parties such as prospective data sources for the Data Discovery Index and developers of data harvesting and other tools. Contact: Questions and comments to Susanna-Assunta Sansone (WG3 chair) and WG3 members - adding them directly to the live Google document or sending them to biocaddie[at]ucsd.edu.","journal":"Zenodo (CERN European Organization for Nuclear Research)","year":2015,"id":8217,"datarank":0.996939768526584,"base_score":2.302585092994046,"endowment":2.302585092994046,"self_citation_contribution":0.3453877639491069,"citation_network_contribution":0.6515520045774771,"self_endowment_contribution":0.3453877639491069,"citer_contribution":0.6515520045774771,"corpus_percentile":79.61630695443645,"corpus_rank":2636,"citation_count":9,"citer_count":9,"citers_with_citation_signal":4,"citers_with_endowment":4,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.7247,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":1,"downloads":409,"has_version_chain":false,"published_date":"2015-08-14","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":72567,"name":"Wg Members","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":null,"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":"green","license":"cc-by","views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}