Christian Scripture, PubChem, BigQuery, More: Wednesday Afternoon ResearchBuzz, January 16, 2019


Christian Post: New ‘Visual Commentary on Scripture’ website offers new way to study the Bible. “A new $2 million web project launched by King’s College London is offering users a new way to visually digest biblical Scripture through the analyses of classic and contemporary works of art.”


PubChem Blog: More than a million chemical-article links from Thieme Chemistry added into PubChem. “The Thieme Chemistry information in PubChem covers nearly 700,000 chemical substance records, nearly 700,000 scientific article descriptions, and over 1.2 million links between chemicals and articles. The document descriptions include information such as a digital object identifier (DOI), publication title, name of the journal or book, publication type, language, and publication year.”

CBR: BigQuery: It’s Now Easier to Collaborate with Others and Public Datasets. “Google’s enterprise data warehouse BigQuery has released new collaboration and public dataset features. BigQuery enables researchers to conduct Structured Query Language queries within Google Cloud Platform.”


G2 Crowd: 24 Stellar Sites for Free Stock Photos in 2019. “Stock photos are more than just well-dressed, clean-cut professionals ‘candidly’ laughing by the water cooler. Many stock photos are attention-grabbing, well-composed, and, ultimately, may be just what you need to spice up your social media presence or marketing collateral. That’s why we’ve developed the ultimate list of websites that offer free stock photos. When you need to spice up your marketing materials on a budget, explore the following websites and watch your visuals reap the benefits.”


CNN: Indian soldiers being ‘honey trapped’ by fake social media accounts from Pakistan. “An Indian soldier has been ‘honey trapped’ into giving sensitive information to a fake Pakistani Facebook account, highlighting the widespread ‘catfishing’ problem facing India’s military. Sombir Singh, 22, was stationed near the India-Pakistan border when he struck up an intimate online relationship with an account he believed to be operated by an Indian army medical officer.”

Ubergizmo: Heavy Photo Filtering Destroys Data. Forever. “Some smartphones use intense in-camera automatic image filtering, well beyond what is necessary to capture the scene’s color and details. The real issue with aggressive filtering is that it can irremediably destroy data on the only copy of the photo you’ll ever have.”

GeekWire: Beating Wikipedia by 2 years, Seattle’s HistoryLink remains an innovative online encyclopedia. “Wikipedia was a groundbreaking initiative when it went live on Jan. 15, 2001. But a Seattle-based project called HistoryLink actually launched its online encyclopedia — filled with historical facts and stories about Washington state — exactly two years before Jimmy Wales and Larry Sanger hit the scene with Wikipedia.”


TechCrunch: Transparency-seeking OPEN Government Data Act signed into law . “The federal government produces one hell of a lot of data, but despite desultory lurches toward usability, there’s little guarantee that it’s available in a way that makes it useful to anyone. That may change for the better with the OPEN Government Data Act, which the president signed into law last night. The act essentially requires federal agencies to default when possible to making data (and metadata) public, to publish that public data in a machine-readable format and catalog it online. It also mandates that chief data officers be appointed at those agencies to handle the process.”

Toronto Star: Google wants court to decide whether search curbs would infringe charter rights. “Google wants the Federal Court to decide whether limiting search-engine results in the name of privacy would infringe Canadians’ constitutional guarantee of free expression. The leading internet search engine advocates broadening an upcoming court hearing to squarely address the question.”


ScienceDaily: Tool for nonstatisticians automatically generates models that glean insights from complex datasets . “MIT researchers are hoping to advance the democratization of data science with a new tool for nonstatisticians that automatically generates models for analyzing raw data. Democratizing data science is the notion that anyone, with little to no expertise, can do data science if provided ample data and user-friendly analytics tools. Supporting that idea, the new tool ingests datasets and generates sophisticated statistical models typically used by experts to analyze, interpret, and predict underlying patterns in data.” Good afternoon, Internet…

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