From: "Joan K. Lippincott" Sender: To: CNI-ANNOUNCE Date: Wed, 30 Nov 2016 16:56:00 -0500 Message-ID: X-Original-Return-Path: Received: from [96.241.138.111] (account joan@cni.org HELO [192.168.1.84]) by cni.org (CommuniGate Pro SMTP 6.1.12) with ESMTPSA id 31694639 for cni-announce@cni.org; Wed, 30 Nov 2016 15:34:31 -0500 Content-Type: multipart/alternative; boundary="Apple-Mail=_AAA69231-0BAF-4AC6-80B3-ED12226FB28B" Subject: NCSU Library - Data Science and Visualization Institute - save the date X-Original-Message-Id: <6C1EF957-9173-4F81-87CA-2A22C6ACA356@cni.org> X-Original-Date: Wed, 30 Nov 2016 15:34:29 -0500 X-Original-To: "cni-announce@cni.org (cni-announce@cni.org)" Mime-Version: 1.0 (Mac OS X Mail 6.6 \(1510\)) X-Mailer: Apple Mail (2.1510) --Apple-Mail=_AAA69231-0BAF-4AC6-80B3-ED12226FB28B Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=us-ascii CNI is very pleased to be a co-sponsor of NCSU's Data Science and = Visualization institute for Librarians this year. I know spots will fill = up quickly so note the date that applications can be submitted - = starting Dec. 12. --Joan Lippincott, CNI =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D Save the Date! The Data Science and Visualization Institute for = Librarians will be held April 24-28, 2017 at the James B. Hunt Jr. = Library, North Carolina State University in Raleigh, North Carolina. =20 Applications for the Institute will be accepted beginning on Dec 12, = 2016. https://www.lib.ncsu.edu/datavizinstitute The Data Science and Visualization Institute for Librarians is a = week-long course providing the opportunity for librarians passionate = about research and scholarship to immerse themselves in learning about = data science and visualization in collaboration with academic peers. = Participants will develop knowledge, skills, and confidence to = communicate effectively with faculty and student researchers about their = data and be able to provide initial consultancy on the course topics. = Led by expert instructors, sessions will be interactive and will focus = on mastery of core concepts, with hands-on exposure to select open = source and highly used commercial tools. Sharing of practices and = experiences across institutions will be encouraged. A final schedule will be available in early December, including topics = such as: Data Exploration and Statistical Analysis Bibliometric Analysis Data Visualization Version Control with Git and GitHub Data Description, Sharing, and Reuse Data Cleaning and Preparation Web scraping Analyzing Textual Data Mapping and Geospatial Visualization Publisher and Funder Data Use Agreements Visit our website (https://www.lib.ncsu.edu/datavizinstitute) to stay = up-to-date on program details and to apply (beginning December 12, = 2016). The Data Science and Visualization Institute for Librarians is offered = through a collaboration between the NCSU Libraries and the Coalition for = Networked Information (CNI). --Apple-Mail=_AAA69231-0BAF-4AC6-80B3-ED12226FB28B Content-Type: multipart/related; type="text/html"; boundary="Apple-Mail=_1B62E79B-EA34-441A-95DA-B7B0A490CB51" --Apple-Mail=_1B62E79B-EA34-441A-95DA-B7B0A490CB51 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=us-ascii CNI = is very pleased to be a co-sponsor of NCSU's Data Science and = Visualization institute for Librarians this year. I know spots will fill = up quickly so note the date that applications can be submitted - = starting Dec. 12.

--Joan Lippincott, = CNI
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
=

3D"updated_logo.png"<= br>
Save the Date!  The Data Science and Visualization Institute for Librarians = will be held April = 24-28, 2017 at the James B. Hunt Jr. = Library, North Carolina State University in Raleigh, North Carolina. =  

Applications for the Institute will be = accepted beginning on Dec 12, 2016.

The Data = Science and Visualization Institute for Librarians is a week-long course = providing the opportunity for librarians passionate about research and = scholarship to immerse themselves in learning about data science and = visualization in collaboration with academic peers. Participants will = develop knowledge, skills, and confidence to communicate effectively = with faculty and student researchers about their data and be able to = provide initial consultancy on the course topics. Led by expert = instructors, sessions will be interactive and will focus on mastery of = core concepts, with hands-on exposure to select open source and highly = used commercial tools. Sharing of practices and experiences across = institutions will be encouraged.
A final schedule will be available in = early December,  including topics such as:

  • Data Exploration and Statistical = Analysis
  • Bibliometric Analysis
  • Data = Visualization
  • Version Control with Git and = GitHub
  • Data = Description, Sharing, and Reuse
  • Data Cleaning and = Preparation
  • Web scraping
  • Analyzing Textual = Data
  • Publisher and Funder Data Use = Agreements


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