data

The data must be accessible to all

Lila M. Gierasch
Apr 1, 2020; 61:465-465
Editorials




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Episode 85 - The Internet of Data (IoD) Cambridge Analytica, Sea of Thieves and Ready Player One

We let one huge, scary story dominate proceedings before allowing two lighter-weight topics return the pod to its family friendly roots.


The Cambridge Analytica and Facebook scandal is decoded and discussed, with one podder especially susceptible to influence thanks to their insane third party app access numbers.


The gang then tackles Sea of Thieves, a return to form for Rare on Xbox, before Dom (with no spoilers) says just how bad Ready Player One is.

 

See acast.com/privacy for privacy and opt-out information.




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Interpretation of data underlying the link between CCD and an invertebrate iridescent virus [Invited]

No abstract




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WITHDRAWN: Heralds of parallel MS: Data-independent acquisition surpassing sequential identification of data dependent acquisition in proteomics [Research]

This article has been withdrawn by the authors. This article did not comply with the editorial guidelines of MCP. Specifically, single peptide based protein identifications of 9-19% were included in the analysis and discussed in the results and conclusions. We wish to withdraw this article and resubmit a clarified, corrected manuscript for review.




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Acquiring and Analyzing Data Independent Acquisition Proteomics Experiments without Spectrum Libraries [Perspective]

Data independent acquisition (DIA) is an attractive alternative to standard shotgun proteomics methods for quantitative experiments. However, most DIA methods require collecting exhaustive, sample-specific spectrum libraries with data dependent acquisition (DDA) to detect and quantify peptides. In addition to working with non-human samples, studies of splice junctions, sequence variants, or simply working with small sample yields can make developing DDA-based spectrum libraries impractical. Here we illustrate how to acquire, queue, and validate DIA data without spectrum libraries, and provide a workflow to efficiently generate DIA-only chromatogram libraries using gas-phase fractionation (GPF). We present best-practice methods for collecting DIA data using Orbitrap-based instruments, and develop an understanding for why DIA using an Orbitrap mass spectrometer should be approached differently than when using time-of-flight instruments. Finally, we discuss several methods for analyzing DIA data without libraries.




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The data must be accessible to all [Editorials]




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Problem Notes for SAS®9 - 65939: "ERROR: Unable to transcode data to/from UCS-2 encoding" occurs when you run an SQL query using SAS/ACCESS Interface to ODBC on SAS 9.4M5 with UTF-8

When you run an SQL query using SAS/ACCESS Interface to ODBC under the following conditions, you might receive an error: You run SAS 9.4M5 (TS1M5) or SAS 9.4M6 (TS1M6)  i




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Problem Notes for SAS®9 - 65938: Incorrect values might be written to Hadoop for columns defined with the BIGINT data type

Large numeric values consisting of 16 digits in SAS might be incorrect when written to Hadoop for columns defined with the BIGINT data type.  This problem was introduced in SAS 9




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Problem Notes for SAS®9 - 65900: Registering an Oracle table to the metadata might fail and generate an error

When you register an Oracle table to the metadata, it might fail and generate an error similar to the following: "ERROR: An exception has been encountered...ERROR: Read Access Violation METALIB..."




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Problem Notes for SAS®9 - 65834: PROC METADATA returns various errors when the input contains certain multi-byte characters

The METADATA procedure might return an error similar to one of the following:

  • ERROR: Missing root element definition.
  • Full Article


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    Problem Notes for SAS®9 - 65899: "ERROR: ORACLE disconnect error: ORA-03135" occurs when SAS disconnects from the Oracle database server

    When you run 32-bit SAS on Windows and disconnect from the Oracle database server, you might see the error: "ERROR: ORACLE disconnect error: ORA-03135: connection lost contact."




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    Problem Notes for SAS®9 - 64285: The SCD Type 2 Loader transformation in SAS Data Integration Studio generates "ERROR 22-322: Syntax error, expecting one of the following:..."

    If your business key column is a name literal, like " business key "n, a syntax error occurs when that variable name does not follow standard SAS naming conventions.




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    Problem Notes for SAS®9 - 64459: A SAS Data Integration Studio job receives an error that states "The name '; index_name '; has the wrong number of qualifiers"

    An error occurs because of an incorrectly generated CREATE INDEX clause in an SQL query that is sent to DB2 when the DB2 schema value is SESSION . The error message says "The name '; index_name '; has the wrong number of qualifie




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    Problem Notes for SAS®9 - 65031: Grid options set mappings are returned based on which option set is the first in the metadata search chain

    When users are defined in multiple groups associated with grid options set mappings, the first grid option set that is returned by the metadata search chain takes precedence. Only one grid options set mapping is used




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    Problem Notes for SAS®9 - 65914: You see the error "Driver does not support this optional feature" after trying to insert or append data to a Databricks table

    You can create create a Databricks table by using PROC SQL, but you cannot insert data into the table. PROC APPEND cannot create a new table or append data to an existing table.




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    Problem Notes for SAS®9 - 65574: Decimal values are rounded after they are inserted into a new Databricks table via SAS/ACCESS Interface to JDBC

    A DATA step and PROC SQL can round numeric values while creating and loading data into a new Databricks table via JDBC.




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    Problem Notes for SAS®9 - 65886: Trying to bulk load data into a Google BigQuery database might result in an error

    When you bulk load data into a Google BigQuery database, you might encounter this error: "Error while reading data, error message: CSV table encountered too many errors, giving up...Error detected while parsing row starting at position: 0...Data




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    Problem Notes for SAS®9 - 65869: SAS Visual Data Builder does not enable you to schedule with multiple time-event triggers

    SAS Visual Data Builder might not enable you to create multiple time-event triggers. The + button to add another trigger is not available to select, as shown in the following display: imgalt="" src="{fusion_658




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    Customer Database Management Software in Mumbai, Pune, Ahmedabad

    Customer Database Management Software, Customer Management Software, Customer Database Software in Mumbai, Customer Database Management Software in Pune, Customer Database Management Software in Ahmedabad, India.

    Customer Database Management Software






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    Davis embracing data, new approach to improve

    Looking to preempt questions about his work ethic in a nightmare 2018 season, Chris Davis reported to Spring Training in Florida more than a week before Orioles position players were required to. That's when his efforts to rebound hit their first minor snag.




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    The BMJ requires data sharing on request for all trials

    The movement to make data from clinical trials widely accessible has achieved enormous success, and it is now time for medical journals to play their part. From 1 July The BMJ will extend its requirements for data sharing to apply to all submitted clinical trials, not just those that test drugs or devices. The BMJ's Elizabeth Loder explains what...




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    What went wrong with care.data?

    Failures in implementation of data sharing projects have eroded public trust. In the wake of NHS England’s decision to close down its care.data programme, Tjeerd-Pieter van Staa professor of health e-research at the University of Manchester, examines what lessons must be learnt, and what we can do better next time. Read the full...




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    The evidence manifesto - better trials, better use of trial data

    We're creating a manifesto for better evidence. The centre for Evidence Based Medicine at the University of Oxford, and the BMJ, are asking what are the problem with medical evidence, and how can we fix them? In this second discussion we went to Nottingham​ University, to find out what the people who create the bread and butter of EBM -...




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    Big Metadata

    We’re in an era of big data - and hospitals and GPs are generating an inordinate amount of it that has potential to improve everyone’s health. But only if it’s used properly. New research published on www.bmj.com this week describes another set of information, about that data, that the authors believe could be just as important as the data...




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    Talk Evidence - eating less, drinking less, drug approval data

    Talk Evidence is back, with your monthly take on the world of EBM with Duncan Jarvies and GPs Carl Heneghan (also director for the Centre of Evidence Based Medicine at the University of Oxford) and Helen Macdonald (also The BMJ's UK research Editor). This month Carl talks about evidence that restricting your diet might improve health at a...




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    Talk Evidence - Remdesivir, care homes, and death data

    For the next few months Talk Evidence is going to focus on the new corona virus pandemic. There is an enormous amount of uncertainty about the disease, what the symptoms are, fatality rate, treatment options, things we shouldn't be doing. We're going to try to get away from the headlines and talk about what we need to know - to hopefully give...




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    Predictive Modeling of Type 1 Diabetes Stages Using Disparate Data Sources

    This study aims to model genetic, immunologic, metabolomics, and proteomic biomarkers for development of islet autoimmunity (IA) and progression to type 1 diabetes in a prospective high-risk cohort. We studied 67 children: 42 who developed IA (20 of 42 progressed to diabetes) and 25 control subjects matched for sex and age. Biomarkers were assessed at four time points: earliest available sample, just prior to IA, just after IA, and just prior to diabetes onset. Predictors of IA and progression to diabetes were identified across disparate sources using an integrative machine learning algorithm and optimization-based feature selection. Our integrative approach was predictive of IA (area under the receiver operating characteristic curve [AUC] 0.91) and progression to diabetes (AUC 0.92) based on standard cross-validation (CV). Among the strongest predictors of IA were change in serum ascorbate, 3-methyl-oxobutyrate, and the PTPN22 (rs2476601) polymorphism. Serum glucose, ADP fibrinogen, and mannose were among the strongest predictors of progression to diabetes. This proof-of-principle analysis is the first study to integrate large, diverse biomarker data sets into a limited number of features, highlighting differences in pathways leading to IA from those predicting progression to diabetes. Integrated models, if validated in independent populations, could provide novel clues concerning the pathways leading to IA and type 1 diabetes.




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    Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysis




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    Thousands more patients with type 1 diabetes are getting flash glucose devices, data show




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    Infectious diseases in children and adolescents in China: analysis of national surveillance data from 2008 to 2017




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    Immigration Data Matters: How to Find the Most Accurate Resources

    With immigration increasingly visible in the news and the political space in the United States and internationally, getting access to accurate, high-quality data is essential to understand immigration’s demographic effects and impacts on the economy, education and labor systems, and communities. This event marks the release of the Immigration Data Matters guide.




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    Immigration Data Matters: How to Find the Most Accurate Resources

    At this release of an updated version of the popular Immigration Data Matters guide, presenters discuss how to navigate and access the increasing number of data sources on immigration and immigrants in the United States and internationally. 




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    Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range

    Tadej Battelino
    Aug 1, 2019; 42:1593-1603
    International Consensus Report




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    Current State of Type 1 Diabetes Treatment in the U.S.: Updated Data From the T1D Exchange Clinic Registry

    Kellee M. Miller
    Jun 1, 2015; 38:971-978
    Type 1 Diabetes at a Crossroads




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    Chinese exports up in April, Beijing’s data show

    China's exports rebounded in April, growing 3.5 percent, according to the latest data from Beijing's General Administration of Customs on Thursday.




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    Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range

    Tadej Battelino
    Aug 1, 2019; 42:1593-1603
    International Consensus Report




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    Open Payments data open to review until May 15

    The Centers for Medicare and Medicaid Services has set a deadline of May 15 for covered recipients to review and dispute Open Payments data for program year 2019.




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    Current data on COVID-19

    Check this page daily for the latest COVID-19 data available from the CDC, WHO and Johns Hopkins University.




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    Immigration Data Matters

    This useful online guide links users directly to the most credible, high-quality data on immigrants and immigration in the United States and internationally. The easy-to-use guide includes more than 220 data resources compiled by governmental and nongovernmental sources, covering topics ranging from population stock and flow numbers to statistics on enforcement, public opinion, religious affiliation, and much more.




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    4.1 million U.S. homeowners past due on their mortgage, data show

    More than 4 million American homeowners are past due on their mortgage, a figure that's been fueled by the coronavirus pandemic, industry data showed Friday.




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    [ Engineering ] Open Question : How can I determine data rate of wireless device given this information?

    802.11n device 20 MHz band 32 QAM 1/2 coding rate What's formula?




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    New Data Resources Can Help Improve Targeting of State Early Childhood and Parent-Focused Programs

    As states work to build high-quality early childhood systems and implement the federal Workforce Innovation and Opportunity Act (WIOA) and Every Student Succeeds Act (ESSA), having detailed knowledge of the characteristics of immigrant parents can help maximize the effectiveness of programs that seek to improve child and family outcomes, as this commentary explains.




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    Get Top Statistics on Immigrants in the U.S and Changing Immigration Trends; MPI Updates its Interactive Data Tools, Maps & One-Stop Resource for Key Stats

    WASHINGTON — The Migration Policy Institute (MPI) today published the annual update to its data-rich article, Frequently Requested Statistics on Immigrants and Immigration in the United States, offering readers a wealth of information that can help inform understanding about an issue that is the subject of much conversation.




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    Glycated Hemoglobin, Prediabetes, and the Links to Cardiovascular Disease: Data From UK Biobank

    OBJECTIVE

    HbA1c levels are increasingly measured in screening for diabetes; we investigated whether HbA1c may simultaneously improve cardiovascular disease (CVD) risk assessment, using QRISK3, American College of Cardiology/American Heart Association (ACC/AHA), and Systematic COronary Risk Evaluation (SCORE) scoring systems.

    RESEARCH DESIGN AND METHODS

    UK Biobank participants without baseline CVD or known diabetes (n = 357,833) were included. Associations of HbA1c with CVD was assessed using Cox models adjusting for classical risk factors. Predictive utility was determined by the C-index and net reclassification index (NRI). A separate analysis was conducted in 16,596 participants with known baseline diabetes.

    RESULTS

    Incident fatal or nonfatal CVD, as defined in the QRISK3 prediction model, occurred in 12,877 participants over 8.9 years. Of participants, 3.3% (n = 11,665) had prediabetes (42.0–47.9 mmol/mol [6.0–6.4%]) and 0.7% (n = 2,573) had undiagnosed diabetes (≥48.0 mmol/mol [≥6.5%]). In unadjusted models, compared with the reference group (<42.0 mmol/mol [<6.0%]), those with prediabetes and undiagnosed diabetes were at higher CVD risk: hazard ratio (HR) 1.83 (95% CI 1.69–1.97) and 2.26 (95% CI 1.96–2.60), respectively. After adjustment for classical risk factors, these attenuated to HR 1.11 (95% CI 1.03–1.20) and 1.20 (1.04–1.38), respectively. Adding HbA1c to the QRISK3 CVD risk prediction model (C-index 0.7392) yielded a small improvement in discrimination (C-index increase of 0.0004 [95% CI 0.0001–0.0007]). The NRI showed no improvement. Results were similar for models based on the ACC/AHA and SCORE risk models.

    CONCLUSIONS

    The near twofold higher unadjusted risk for CVD in people with prediabetes is driven mainly by abnormal levels of conventional CVD risk factors. While HbA1c adds minimally to cardiovascular risk prediction, those with prediabetes should have their conventional cardiovascular risk factors appropriately measured and managed.




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    New Public Data Tool Lets You See What Curricula Schools in Nebraska Are Using

    Nebraska's education department released an interactive instructional materials map last week, showing what curricula districts have adopted for English-language arts, math, and K-8 science.




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    Audit: Maryland Dept. Did Not Properly Store Data for 1.4 Million Students

    The Maryland State Department of Education "inappropriately stored" personal information of 1.4 million students and more than 230,000 teachers, leaving them vulnerable to potential bad actors, according to an audit published earlier this month.




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    Forum 2019 : 10B due diligence pressure points : personnel, privacy and proprietary data / sliides presented by Cam Steele, Jessica Nicholls and Daniel Kiley, HWL Ebsworth Lawyers.




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    Data cities : how satellites are transforming architecture and design / Davina Jackson.

    City planning -- Remote sensing.




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    Big data, big responsibilities : a guide to privacy & data security for Australian business / Nick Abrahams and Jim Lennon.

    Data protection -- Law and legislation -- Australia.




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    The data librarian's handbook / Robin Rice and John Southall.

    Data libraries.