Best Practices in Data Collection and Management Workshop

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

Ever need to help a researcher share and archive their research data? Would you know how to advise them on managing their data so it can be easily shared and re-used? This workshop will cover best practices for collecting and organizing research data related to the goal of data preservation and sharing. We will focus on best practices and tips for collecting data, including file naming, documentation/metadata, quality control, and versioning, as well as access and control/security, backup and storage, and licensing. We will discuss the library’s role in data management, and the opportunities and challenges around supporting data sharing efforts. Through case studies we will explore a typical research data scenario and propose solutions and services by the library and institutional partners. Finally, we discuss methods to stay up to date with data management related topics.

This workshop was presented at NN/LM MAR Research Data Management Symposium: Doing It Your Way: Approaches to Research Data Management for Libraries.  Powerpoint slides are available for download.  files include a biophysics case study.

Terms of Access:  There is 1 restricted file in this dataset which may be used;  however, you are asked not to share the Mock lab notebook. It is completely fictitious. Users may request access to files.

Authoring Person(s) Name: 
Sherry Lake
Andrea Denton
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons 0 - CC0 "No Rights Reserved" (Public Domain)
Access Cost: 
No fee
Citation - format of the preferred citation for the learning resource: 
Lake, Sherry; Denton, Andrea, 2015, "Best Practices in Data Collection and Management Workshop",, Harvard Dataverse, V1.
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Computer Science
Data collection
Data management
Data storage
Organizing data
Published / Broadcast: 
Monday, February 23, 2015
ID - identifier that provides the means to locate the learning resource or its citation: 
Type - namespace prefix for the citable locator, if any: 
Publisher - organization credited with publishing or broadcasting the learning resource: 
Version - revision or edition number or date associated with a learning resource: 
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Dataset - collection of information organized in logical record and block structures for use by a computer.
Contact Person(s): 
Sherry Lake
Contact Organization(s): 
University of Virginia
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.
Target Audience - intended audience for which the learning resource was created: 
Data supporter
Graduate student
Undergraduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)