Reproduce Object framework(ROF)
draft-aspb-rof-00

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INTERNET-DRAFT                                    Pushpita Bhattacharjee
Intended Status: Proposed Standard                          Abel Sanchez
Expires: July 11 2019                                                MIT
                                                          January 7 2019

                    Reproduce Object framework(ROF)
                           draft-aspb-rof-00

Abstract

   This document postulates a standard for computational models to help
   with reproducibility. This standard proposes a lightweight,programing
   language agnostic, JavaScript Object Notation(JSON) based Framework
   to describe the environment and behavior of a computational model.

Status of this Memo

   This Internet-Draft is submitted to IETF in full conformance with the
   provisions of BCP 78 and BCP 79.

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Copyright and License Notice

   Copyright (c) 2018 IETF Trust and the persons identified as the
   document authors. All rights reserved.

   This document is subject to BCP 78 and the IETF Trust's Legal
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   (http://trustee.ietf.org/license-info) in effect on the date of
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   described in the Simplified BSD License.

Table of Contents

   1  Introduction  . . . . . . . . . . . . . . . . . . . . . . . . .  3
     1.1  Terminology . . . . . . . . . . . . . . . . . . . . . . . .  3
   2.  Grammar  . . . . . . . . . . . . . . . . . . . . . . . . . . .  3
   3  Values  . . . . . . . . . . . . . . . . . . . . . . . . . . . .  4
   4  Example . . . . . . . . . . . . . . . . . . . . . . . . . . . .  5
   5  Parser  . . . . . . . . . . . . . . . . . . . . . . . . . . . .  6
   6  Generator . . . . . . . . . . . . . . . . . . . . . . . . . . .  6
   7  IANA Considerations . . . . . . . . . . . . . . . . . . . . . .  6
   8  References  . . . . . . . . . . . . . . . . . . . . . . . . . .  6
     8.1  Normative References  . . . . . . . . . . . . . . . . . . .  6
     8.2  Informative References  . . . . . . . . . . . . . . . . . .  7
   Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . .  7

 

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1  Introduction

   Reproducibility in computational research is an unsolved complex
   challenge faced by numerous researchers today. The nature of the
   complexity stems from various stakeholders involved in the end to end
   research paradigm and from the multiple components involved in this
   process, such as the computational model, software platform, data
   sets, publication methods etc. Scientific research like any other
   field has gone through a major digital transformation in the past
   couple of decades with the rise of the world wide web. Many types of
   research now depend on developing complex computational models, using
   various software platforms and analyzing big sets of data. But when
   it comes to publishing the results of research we still use the
   archetypical only text-based publication process. This process makes
   it increasingly difficult to reproduce research results from a
   published study. Although research has become increasingly
   multidisciplinary and dependent on computer software models and large
   sets of data, the traditional way of scientific publications has not
   changed much over time. Various studies have found that the text-
   based analysis with supporting material presented in a paper is not
   enough to reproduce research fully. This has been one of the factors
   leading to the reproducibility crisis. Reproduce Object framework
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