{"id":"W3217383056","doi":"10.5281/zenodo.4892757","title":"Institutional Research Data Management Services Capacity Survey INSIGHTS Report #3 Future of Institutional RDM Support: Resources Prioritized, Investments, Challenges, and Accelerators","year":2021,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Toronto; University of Victoria; York University; University of Guelph; Queen's University","funders":"","keywords":"RDM; Business; Data management; Research data; Knowledge management; Survey data collection; Process management; Computer science; Data science; Database; Data curation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03228503,0.0005214832,0.0004622108,0.004957734,0.001801178,0.01006451,0.001444317,0.001488145,0.03549433],"category_scores_gemma":[0.07788631,0.0004934796,0.0005682146,0.01272603,0.0006813935,0.008000204,0.00482181,0.002059714,0.01128355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01080353,"about_ca_system_score_gemma":0.04448359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05406568,"about_ca_topic_score_gemma":0.0430911,"domain_scores_codex":[0.965538,0.009691662,0.003095753,0.001354819,0.01470788,0.005611848],"domain_scores_gemma":[0.868378,0.03427147,0.01361208,0.007739723,0.06146039,0.01453834],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002190104,0.0003275484,0.08391367,0.001520257,0.00006772435,0.000185915,0.002374633,0.001677517,0.001260639,0.02364507,0.7225079,0.1623001],"study_design_scores_gemma":[0.0000377362,0.0001513982,0.06649963,0.000888159,0.0000350275,0.0001299676,0.01500472,0.00147716,0.001932443,0.002498445,0.9112534,0.00009188435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1566234,0.005551806,0.01760738,0.2109798,0.001611607,0.003335154,0.2481755,0.004976533,0.3511389],"genre_scores_gemma":[0.5804577,0.01019343,0.04009046,0.0252064,0.001172598,0.007009389,0.1824718,0.001303125,0.1520951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.967715,"threshold_uncertainty_score":0.1707416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2910550416351438,"score_gpt":0.3521215102678635,"score_spread":0.06106646863271969,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}