dataextraction   35

Evaluating Data Abstraction Assistant, a novel software application for data abstraction during systematic reviews: protocol for a randomized controlled trial
Data abstraction, a critical systematic review step, is time-consuming and prone to errors. Current standards for approaches to data abstraction rest on a weak evidence base. We developed the Data Abstraction Assistant (DAA), a novel software application designed to facilitate the abstraction process by allowing users to (1) view study article PDFs juxtaposed to electronic data abstraction forms linked to a data abstraction system, (2) highlight (or “pin”) the location of the text in the PDF, and (3) copy relevant text from the PDF into the form. We describe the design of a randomized controlled trial (RCT) that compares the relative effectiveness of (A) DAA-facilitated single abstraction plus verification by a second person, (B) traditional (non-DAA-facilitated) single abstraction plus verification by a second person, and (C) traditional independent dual abstraction plus adjudication to ascertain the accuracy and efficiency of abstraction.
january 2018 by pwhaley
Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms
Data extraction is one of the most time-consuming tasks in performing a systematic review. Extraction is often onto some sort of form. Sharing completed forms can be used to check quality and accuracy of extraction or for re-cycling data to other researchers for updating. However, validating each piece of extracted data is time-consuming and linking to source problematic.In this methodology paper, we summarize three methods for reporting the location of data in original full-text reports, comparing their advantages and disadvantages
october 2017 by pwhaley
«A powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.»
data  opensource  tools  dataexplorer  dataextraction  !post:twitter 
september 2017 by xeophin
«allows you to extract that data into a CSV or Microsoft Excel spreadsheet using a simple, easy-to-use interface. Tabula works on Mac, Windows and Linux.»
data  pdf  tools  scraping  dataextraction  dataexplorer  !post:twitter 
september 2017 by xeophin
Docparser - Extract Data From PDF to Excel, JSON and Webhooks
Docparser offers fast, secure and accurate PDF data extraction tools to automate your document based workflow. Docparser converts PDF to Excel, CSV, XML or JSON, and moves the data to where it belongs.
pdf  extraction  extractor  xls  CSV  excel  document  parser  automation  OCR  data  dataextraction  datascraping  scraping  scrape  structureddata  saas 
july 2017 by csaper
ChEMBL Web Services Patent and Compound Search
CheMBL  DataExtraction 
march 2016 by roeglinl
Data Scraping Studio ™ - Web Scraping & Data Extraction Software
Data Scraping Studio transforms website's data into manageable format to collect and organize so you can focus on what matters to you. Stay in the know, spot trends as they happen, and push your business further. An easy, powerful point and click chrome extension to create scraping agent with CSS selectors. Run any number of crawling agents at a time for super-fast web extraction Extract data from many data sources(websites, ajax, xml...) Self-services software designed for you to build on Schedule to extract data even when you are offline
data  scraping  scrape  webscraping  website  dataextraction  extraction  textextraction  xml  JSON  crawler  automated  datacapture 
january 2016 by csaper | Web Data Extraction Made Easy
At we believe that everyone should be able to access data from the web. That's why we give you full access to all of our awesome features free of charge! Use our tool to build APIs to all your favorite websites with just a few clicks of the mouse. If you get stuck, our friendly support team is always ready to lend a hand.
data  bigdata  researchtools  techtools  *****  mustuse  datamining  dataextraction 
october 2014 by scitrenb

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