Workshop on Data Management Plans for Linguistic Research: 2017 LSA Summer Linguistic Institute
Taller sobre Planes de Gestión de Datos para la Investigación Lingüística: 2017 LSA Summer Linguistic Institute
|Subject Language||Multiple |
|Language PID(s)||ailla:119562 |
|Language of Indigenous Title|
|Title||Workshop on Data Management Plans for Linguistic Research: 2017 LSA Summer Linguistic Institute|
|Country(ies)||United States |
|Place Created||Lexington, Kentucky, United States|
|Language of Indigenous Description|
|Description||The recordings in the resource were made on July 29 & 30, 2017, during the Workshop on Data Management Plans for Linguistic Research at the LSA Summer Linguistic Institute, held at the University of Kentucky. The workshop was taught by Andrea Berez-Kroeker, Lauren Collister, and Susan Smythe Kung. This resource also contains PDF versions of the slides and the work sessions document. |
Please cite as:
Berez-Kroeker, Andrea, Lauren Collister & Susan Smythe Kung. 2017. Workshop on Data Management Plans for Linguistic Research. LSA Summer Institute, University of Kentucky, July 29-30, 2017, Archive of the Indigenous Languages of Latin America, ailla.utexas.org. Access: Open. PID: ailla:254604.
Table of Contents:
Files in this resource are listed below. Please note that session 2 was not recorded.
Session 1: Welcome and Workshop Overview, DMP_Workshop_LSA_2017_Session_1.mp4
Session 2: Data Collection, [Not recorded]
Session 3: Ethics and Legal Compliance, DMP_Workshop_LSA_2017_Session_3.mp4
Session 4: Storage and Backup, DMP_Workshop_LSA_2017_Session_4.mp4
Session 5: Documentation and Metadata, DMP_Workshop_LSA_2017_Session_5.mp4
Session 6: Selection, Preservation, and Sharing, DMP_Workshop_LSA_2017_Session_6.mp4
Session 7: Resources, Responsibilities, and Timeline, DMP_Workshop_LSA_2017_Session_7.mp4
Workshop Slides, DMPworkshopSlides.pdf
Work Sessions, workSessions.pdf
The rising tide of data management and sharing requirements from funding agencies, publishers, and institutions has created a new set of pressures for researchers who are already stretched for time and funds. While it can feel like yet another set of painful hurdles, in reality, the process of creating a Data Management Plan (DMP) can be a surprisingly useful exercise, especially when done early in a project’s lifecycle.
Good data management, practiced throughout one’s career, can save time, money, and frustration, while ultimately helping increase the impacts of research. This 2-day workshop includes lecture and discussion around concepts of data management throughout the data lifecycle (from data creation, storage, and analysis to data sharing, archiving, and reusing), as well as related issues such as intellectual property, copyright, open access, data citation, attribution, and metrics.
Participants will learn about data management best practices and useful tools (including DMPTool) while engaging in activities designed to produce a DMP similar to those desired by the NSF Behavioral and Cognitive Sciences Division (for example, Linguistics, Documenting Endangered Languages), as well as other federal agencies such as NEH. Participants should come with real or hypothetical projects in mind; at the end of the workshop, they will have a draft of a DMP designed specifically for that project.
This material is based upon work supported by the National Science Foundation under Grant Number SMA-1447886, Developing Standards for Data Citation and Attribution for Reproducible Research in Linguistics, Andrea Berez-Kroeker, PI and Gary Holton, Susan Smythe Kung and Peter Pulsifer, Co-PIs.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
These materials are available for reuse under the Creative Commons Attribution license.
|Contributor(s) Individual / Role||Kung, Susan Smythe (Speaker, Actor, performer) |
Berez-Kroeker, Andrea (Creator, Speaker)
Collister, Lauren B. (Creator, Speaker)
|Contributor(s) Corporate / Role|
Media FilesThere are 8 objects in this resource
|Object||File Types||Access Level|