From: "Clifford Lynch" Sender: To: CNI-ANNOUNCE Date: Fri, 14 Nov 2014 18:55:00 -0500 Message-ID: X-Original-Return-Path: Received: from [136.152.167.181] (account clifford@cni.org HELO [192.168.195.111]) by cni.org (CommuniGate Pro SMTP 6.0.9) with ESMTPSA id 27698356 for cni-announce@cni.org; Fri, 14 Nov 2014 17:32:30 -0500 Mime-Version: 1.0 X-Original-Message-Id: X-Original-Date: Fri, 14 Nov 2014 17:29:38 -0500 X-Original-To: cni-announce@cni.org Subject: NIH Request for Information: Teaching and Learning Resources for Biomedical Data Management and Data Science Content-Type: multipart/alternative; boundary="============_-796118146==_ma============" --============_-796118146==_ma============ Content-Type: text/plain; charset="iso-8859-1" ; format="flowed" Content-Transfer-Encoding: quoted-printable As part of the National Institutes of Heath=20 program Big Data to Knowledge (BD2K) Initiative,=20 they have been issuing a number of requests for=20 information. This one, which is open till the end=20 of 2014, deals with teaching and learning=20 resources. See below for some brief highlights=20 and a pointer for more information. Clifford Lynch Director, CNI -------------------------- Request for Information (RFI) on the NIH Big Data=20 to Knowledge (BD2K) Initiative Resources for=20 Teaching and Learning Biomedical Big Data=20 Management and Data Science (Notice number=20 NOT-LM-15-001) http://g= rants.nih.gov/grants/guide/notice-files/NOT-LM-15-001.html An excerpt, Some needed instructional resources for training=20 in data management and data science are already=20 available. Please identify resources and=20 materials of interest with characteristics such=20 as, but not limited to: =B7 Graduate-level short courses, tutorials=20 and workshops (online, in-person or hybrid) that=20 are open to all; =B7 Graduate-level online tutorials and modules; =B7 Massive Open Online Courses (MOOCs; =B7 Curriculum plans or resources=20 (including sample datasets or data management=20 plans used in data management training; =B7 Evaluation approaches for online data=20 science or data management courses. NIH is interested in collections (aggregations)=20 of the above as well as individual topics.=20 Materials for self-guided learning must be=20 available online or for download in standard=20 digital formats. =46or each class or learning resource, please=20 provide information that will help NIH identify=20 and locate the resources, such as: =B7 The name of the course or resource; =B7 A URL for the online resource or a site=20 that describes or offers the resource; =B7 The sponsor of the resource, such as organization or instructor. Additional information, is also welcome,=20 including comments about the course or resource. --============_-796118146==_ma============ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable NIH Request for Information: Teaching and Learning Resourc
As part of the National Institutes of Heath program Big Data to Knowledge (BD2K) Initiative, they have been issuing a number of requests for information. This one, which is open till the end of 2014, deals with teaching and learning resources. See below for some brief highlights and a pointer for more information.

Clifford Lynch
Director, CNI

--------------------------

Request for Information (RFI) on the NIH Big Data to Knowledge (BD2K) Initiative Resources for Teaching and Learning Biomedical Big Data Management and Data Science (Notice number NOT-LM-15-001)
 
An excerpt,
Some needed instructional resources for training in data management and data science are already available. Please identify resources and materials of interest with characteristics such as, but not limited to:
=B7         Graduate-level short courses, tutorials and workshops (online, in-person or hybrid) that are open to all;
=B7         Graduate-level online tutorials and modules;
=B7         Massive Open Online Courses (MOOCs;
=B7         Curriculum plans or resources (including sample datasets or data management plans used in data management training;
=B7         Evaluation approaches for online data science or data management courses.
NIH is interested in collections (aggregations) of the above as well as individual topics. Materials for self-guided learning must be available online or for download in standard digital formats.
For each class or learning resource, please provide information that will help NIH identify and locate the resources, such as:
=B7         The name of the course or resource;
=B7         A URL for the online resource or a site that describes or offers the resource;
=B7         The sponsor of the resource, such as organization or instructor.
Additional information, is also welcome, including comments about the course or resource.
 
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