Imagen del autor

Cornell University

Autor de Cornell nature-study leaflets

121 Obras 163 Miembros 5 Reseñas

Sobre El Autor

Créditos de la imagen: Poster by John E. Sheridan, 1902
(LoC Prints and Photographs Division,
LC-USZC4-3089)

Obras de Cornell University

Campus Walks 3 copias

Etiquetado

Conocimiento común

Todavía no hay datos sobre este autor en el Conocimiento Común. Puedes ayudar.

Miembros

Reseñas

PDFR84 | A readme file provides information about a data file and is intended to help ensure that the data can be correctly interpreted by yourself at a later data or by others when sharing or publishing data. Standards-based metadata (/content/writing-metadata) is generally preferable, but where no appropriate standard exists, for internal use, writing "readme" style metadata is an appropriate strategy.

Template - target="_top">https://cornell.box.com/v/ReadmeTemplate

Contents
1. Best Practices pg. 1
-- create readme files for logical "clusters" of data
-- Name the readme so that iis easily associated with the data file(s) it describes
-- Write your readme document as a plain text file
-- Format multiple readme files identically
-- Use Standardized date formats
-- Follow scientific conventions for your discipline for taxonomic, geospatial and geological names and keywords
-- Table 1 Source Content and URL
2. Recommended Content pg. 3
-- General Information
-- Data and File Overview
-- Sharing and Access Information
-- Methodological Information
-- Data-Specific Information
3. References pg. 4
4. Related Information pg. 4

SA - http://data.research.cornell.edu/content/writing-metadata
RT - Data Set Description
BT - Standards based metadata
NT - Data File Description
UF - Facilitate Data Set Interpretation
SN - This article informs the reader about what, why, and how a readme file should be set-up. (This entry does not reference a hierarchical list)… (más)
 
Denunciada
5653735991n | Feb 2, 2024 |
PDFR38 | The CISER Data & Reproduction Archive is integral to CISER’s overall mission to anticipate and
support the evolving data needs of Cornell social scientists and economics throughout the entire research
process and data lifecycle. The goals of the archive are to make social science data available to
researchers, while at the same time making data more Findable, Accessible, Interoperable, and Reusable
(See The FAIR Data Principles). Towards those goals, archive safe can help researchers appraise,
deposit, publish, make accessible, and preserve research and secondary social science data. We
also feature a custom-built catalog to maintain and preserve archive metadata along with our Results
Reproduction (R-squared) packages.

SA - Repository Policies
RT - Collection Development
BT - Library Services
NT - Archive Trust Policies
UF - Reproducible Data
SN - An article containing links to policies developed by CU. (This entry does not reference a hierarchical list)
… (más)
 
Denunciada
5653735991n | Jan 5, 2024 |
Drone Discovery explores the engineering design and flight principles of drones. The activities demonstrate how drones and remote sensing can be used to solve real-world problems.
 
Denunciada
thurstonkits | Sep 19, 2018 |
Drone Discovery explores the engineering design and flight principles of drones. The activities demonstrate how drones and remote sensing can be used to solve real-world problems.
 
Denunciada
thurstonkits | Sep 19, 2018 |

Estadísticas

Obras
121
Miembros
163
Popularidad
#129,735
Valoración
½ 3.6
Reseñas
5
ISBNs
16
Idiomas
2

Tablas y Gráficos