A Toolbox for Curating and Archiving Research Software for Data Management Specialists

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 
In this page, a set of tools, resources, approaches, and questions are presented which allow researchers or research data management specialists to address potential knowledge gaps in providing software archiving and/or preservation services as a companion to data service. Click each topic to learn more about software sharing and archiving.
Authoring Person(s) Name: 
Fernando Rios
Authoring Organization(s) Name: 
Johns Hopkins University Data Management Services
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution-NonCommercial 4.0 International - CC BY-NC 4.0
Access Cost: 
No fee
Citation - format of the preferred citation for the learning resource: 
Rios, F., 2017. A Research Software Management Toolbox for Data Management Specialists. 12th International Digital Curation Conference. February 20-23, The Royal College of Surgeons of Edinburgh, Edinburgh, UK.
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: 
Data archiving
Data citation
Data management planning
Data sharing
Licenses - Core Trustworthy Data Repositories Requirements
Reusable software
Software preservation
Published / Broadcast: 
Monday, February 20, 2017
Publisher - organization credited with publishing or broadcasting the learning resource: 
Johns Hopkins University Data Management Services
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Unit - long-range plan of instruction on a particular concept containing multiple, related lessons.
Target Audience - intended audience for which the learning resource was created: 
Data manager
Early-career research scientist
Graduate student
Mid-career research scientist
Repository manager
Research faculty
Research scientist
Software engineer
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)