about
If we share data, will anyone use them? Data sharing and reuse in the long tail of science and technologyLarge-scale electrophysiology: acquisition, compression, encryption, and storage of big dataBig Data Application in Biomedical Research and Health Care: A Literature ReviewBig Data Analytics in Healthcare.Big data and tactical analysis in elite soccer: future challenges and opportunities for sports scienceDNA nanotechnology: new adventures for an old warhorseA network-based method to evaluate quality of reproducibility of differential expression in cancer genomics studiesA reproducible approach to high-throughput biological data acquisition and integrationToward a Literature-Driven Definition of Big Data in HealthcareTCIA: An information resource to enable open scienceEcology and bioprospectingIn silico research in the era of cloud computingBioTorrents: a file sharing service for scientific dataThe perfect neuroimaging-genetics-computation storm: collision of petabytes of data, millions of hardware devices and thousands of software toolsBlu-ray-sensitive localized surface plasmon resonance for high-density optical memory.Strategies for controlling non-transmissible infection outbreaks using a large human movement data setThe Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts.Differential Privacy Preserving in Big Data Analytics for Connected Health.Status and Future Perspectives of Utilizing Big Data in Neurosurgical and Stroke Research.Comparison and calibration of transcriptome data from RNA-Seq and tiling arrays.POPcorn: An Online Resource Providing Access to Distributed and Diverse Maize Project Data.Computing: A vision for data science.Expanding the boundaries of local similarity analysisComputational cancer biology: education is a natural key to many locksA DNA-based semantic fusion model for remote sensing data.A nutrition/health mindset on commercial Big Data and drivers of food demand in modern and traditional systems.Intuitive web-based experimental design for high-throughput biomedical data'Big data' approaches for novel anti-cancer drug discovery.Analysis of Major Histocompatibility Complex (MHC) Immunopeptidomes Using Mass Spectrometry.Foundational Principles for Large-Scale Inference: Illustrations Through Correlation Mining.A tale of two perspectives: regulation versus self-regulation. A financial reporting approach (from Sarbanes-Oxley) for research ethics.Entering the 'big data' era in medicinal chemistry: molecular promiscuity analysis revisitedFunctional Neuroimaging in Traumatic Brain Injury: From Nodes to NetworksRationale and design of the Henry Ford Exercise Testing Project (the FIT project).Finding the right approach to big data-driven medicinal chemistry.Accurate and fast feature selection workflow for high-dimensional omics data.LBVS: an online platform for ligand-based virtual screening using publicly accessible databases.A capability maturity model for scientific data management: Evidence from the literatureQuantity is Nothing without Quality: Automated QA/QC for Streaming Environmental Sensor DataTo share or not to share in the emerging era of big data: perspectives from fish telemetry researchers on data sharing
P2860
Q24494900-1E998AEB-146E-415F-BCF5-AFD34E030607Q24657801-6ECA139E-C345-4BFB-ACDE-5C06B395EC04Q26769605-BBBD0AE3-AFBE-4AB9-BFCF-9FEBD534FA87Q26800999-754A5B0F-174E-4379-ABA4-261673CBC174Q28069343-A58C7B1E-8923-444A-9371-AE2CF3BC62A7Q28601399-CB55E131-F110-48D0-BEA8-B281FC555AB5Q28602622-C8BFCC8E-CF46-4BF7-AF7F-98DC1D620843Q28647460-22F84604-B6BF-421D-A52C-530F9899402EQ28648412-467A05F6-DABB-43AF-9F66-4944E7E8D277Q28650288-EC630085-02E6-4630-A185-4C1DE53C564AQ28728193-4F5122A9-9596-45DF-A56E-9B9282230A78Q28746098-A0BD02F9-1B6F-4D27-AF61-325E3C9A812BQ28752578-409DD72E-356E-47FB-822D-F72996729DF1Q30663360-A22494DB-3E95-481A-BEB5-1E37DD18AF0BQ30827753-63E041B5-989D-4C59-BCE8-B6759A96FAD8Q30850604-739A5F2E-F7F7-48D2-BD1F-DCCD736F97C0Q30957260-92381D06-724D-4127-8E95-30940C211E6FQ31044825-B8C45619-977C-4E62-93D4-9A0A5A1ED4DFQ31133557-B07EA686-24A7-4690-BE58-56E0149D49D1Q33610866-2D26C2B5-6842-4B40-B432-11E6ADC5B653Q34130263-2E72E357-1DE8-4849-AB34-851267EFBB1DQ34560233-E5914772-E567-4A0D-9C62-D6C163039660Q34569390-B3A56B2B-A4D2-4EE4-8F71-8278BA0BC8C3Q34984537-CF5A691D-B771-4117-8E6C-24730EC8AA1DQ35015068-E81B4F04-3B1E-4FD2-8E5D-1EECA533BBBEQ35525199-0F5D4936-82E0-40FE-90D6-E628F64817D7Q35543716-9B42FDE0-CD38-408D-A005-CF465F203D3AQ36360310-B33CB421-F699-4E52-A0A4-B483A6C9781DQ36604367-F5D3D25B-0CFE-43A9-9D4D-0FB17DDB72F9Q36786627-62251EA3-8580-4A76-84ED-3E63C196DBA8Q37848751-236C93CD-EEDF-4538-AE4C-FA51E8CC7999Q38663728-3C3ED32F-6E00-416F-B763-85B88C5B234FQ41543754-20B136D7-E723-413C-B943-1BE57EAF43C5Q43437465-C725A20F-9D4F-4E73-A3B2-DF77443DC60DQ46087221-CD1D5068-68AC-4CC9-9A11-A1E0AD2F271EQ47271060-4FF121F9-E464-48AC-9DFC-297E53EC74D5Q50637160-8AB25607-CE90-45D7-B3FB-B4544A8B0D1BQ56741240-84A919CA-BBEA-430E-8715-EF5A92F76C9DQ56755084-29BADFE0-1C32-4600-B769-B9CB5AF17340Q57060810-975D3FAD-E341-4979-90B3-20B044A9FBED
P2860
description
2008 nî lūn-bûn
@nan
2008 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Big data: How do your data grow?
@ast
Big data: How do your data grow?
@en
type
label
Big data: How do your data grow?
@ast
Big data: How do your data grow?
@en
prefLabel
Big data: How do your data grow?
@ast
Big data: How do your data grow?
@en
P356
P1433
P1476
Big data: How do your data grow?
@en
P2888
P356
10.1038/455028A
P407
P577
2008-09-01T00:00:00Z
P6179
1037235181