New Guide Released: Sharing Survey Data

The UK Data Service has released a new guide Depositing Shareable Survey Data

This 16-page handbook, developed by a specialist team at the UK Data Service with extensive input from UK government departments, academic survey owners and survey producers, will take you through the full data journey, from fieldwork planning to eventual user access. While the guide is specifically developed to support new depositors of large-scale surveys, the principles apply to a wide range of significant data deposits.


Data Management for Undergraduate Researchers

Two data service specialists from Purdue University Libraries have recently published a research guide (LibGuide) to help undergraduate students with data management. This LibGuide has several different tags: data management plans, file naming conventions, documentation, security/backup, and publication/preservation.

While a number of  research guides were published on the subject of data management across institutions, there are not that many LibGuides that particularly focus on undergraduate researchers. This may be of great use to other  librarians for creating a similar data management guide for undergraduate researchers.

Take a look at the LibGuide: Data Management for Undergraduate Researchers

A Short Guide to Better Manage Scientific Data

10 Simple Rules for the Care and Feeding of Scientific Data 

In this article entitled 10 Simple Rules for the Care and Feeding of Scientific Data, authors from Computational Biology and Information Science (Alyssa Goodman, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, Kyle Cranmer, Mercè Crosas, Rosanne Di Stefano, Yolanda Gil, Paul Groth, Margaret Hedstrom, David W. Hogg, Vinay Kashyap, Ashish Mahabal, Aneta Siemiginowska, Aleksandra Slavkovic) offer a short guide to the steps scientists can take to ensure that their data and associated analyses continue to be of value and to be recognized. In just the past few years, hundreds of scholarly papers and reports have been written on questions of data sharing, data provenance, research reproducibility, licensing, attribution, privacy, and more, but the goal of this article is not to review that literature. Instead, authors present a short guide intended for researchers who want to know why it is important to “care for and feed” data, with some practical advice on how to do that.

Doing Journalism with Data

Doing Journalism with Data

Are you interested in data journalism in the newsroom, finding data to support stories, finding story ideas with data analysis, and/or telling stories with visualization? If so, this online course might be of interest to you.

For more information:

New England Collaborative Data Management Curriculum

New England Collaborative Data Management Curriculum Site is Live

The New England Collaborative Data Management Curriculum offers openly available materials that librarians can use to teach research data management best practices to students in the sciences, health sciences and engineering fields, at the undergraduate and graduate levels. The materials in the curriculum are openly available, with lecture notes and slide presentations that librarians teaching RDM can customize for their particular audiences. The curriculum also has a database of real life research cases that can be integrated into the curriculum to address discipline specific data management topics.

You can visit the site at:

Reference List of Researcher Assessments on Data Mangement

Reference List of Researcher Assessments on Data Mangement

The DataONE Community Engagement working group has created a list of links to studies, reports, and surveys wherein the needs of researchers related to data management were assessed. This list was generated by Carly Strasser (CDL), Stephanie Wright (U of Washington) and Gail Steinhart (Cornell).

The reference list is available at:

DH Curation Guide

DH Curation Guide: A community Resource Guide to Data Curation in the Digital Humanities

The DH Curation Guide is a compilation of articles that address aspects of data curation in the digital humanities. The goal of the DH Curation Guide is to direct readers to trusted resources with enough context from expert editors and the other members of the research community to indicate to how these resources might help them with their own data curation challenges.

Each article provides a short introduction to a topic and a list of linked resources. Structuring articles in this way acknowledges the many excellent resources that already exist to provide guidance on subjects relevant to curation such as data formats, legal policies, description, and more.

The DH Curation Guide grew out of a needs analysis study of data curation at digital humanities centers conducted by the Data Curation Education Program for the Humanities (DCEP-H) at the Graduate School of Library and Information Science (GSLIS), University of Illinois, Urbana-Champaign, which has been generously funded by a grant from the Institute of Museum and Library Services (RE-05-08-0062-08). In the course of interviewing directors and senior-level staff of centers engaged in digital research in the humanities, project team members identified a clear need for a collection of reviewed, trusted resources for basic information on issues related to data curation. The DH Curation Guide is an initial contribution toward meeting that need.

Coordinated by the Center for Informatics Research in Science and Scholarship (CIRSS), the DCEP-H program extends the existing Data Curation specialization within the ALA-accredited master’s program at GSLIS to include humanities data. Encompassing curriculum design, internships, a fellowship program as well as other activities in addition to the needs analysis survey, DCEP-H is intended to prepare information professionals for the unique challenges of working with humanities research data.

More information about DH Curation Guide available at: