Development Research in Practice

Page 163

BOX 6.8  MANAGING OUTPUTS: A CASE STUDY FROM THE DEMAND FOR SAFE SPACES PROJECT It is important to document which data sets are required as inputs in each script and what data sets or output files are created by each script. The Demand for Safe Spaces team documented this information both in the header of each script and in a comment in the master do-file where the script was called. The following is a header of an analysis script called response.do that requires the file

platform_survey_constructed.dta and generates the file response.tex. Having this

information on the header allows people reading the code to check that they have access to all of the necessary files before trying to run a script. 1 /**************************************************************************************** 2 *

Demand for "Safe Spaces": Avoiding Harassment and Stigma

*

3 ***************************************************************************************** 4

OUTLINE:

PART 1: Load data

5

PART 2: Run regressions

6

PART 3: Export table

7

REQUIRES: ${dt_final}/platform_survey_constructed.dta

8

CREATES:

${out_tables}/response.tex

9 ****************************************************************************************/

To provide an overview of the different subscripts involved in a project, this information was copied into the master do-file where the script above is called, and the same was done for all of the script called from that master, as follows: 1 * Appendix tables ======================================================================= 2 3 ***************************************************************************************** 4 *

Table A1: Sample size description

*

5 *---------------------------------------------------------------------------------------* 6 *

REQUIRES: ${dt_final}/pooled_rider_audit_constructed.dta

7 * 8 *

CREATES:

*

${dt_final}/platform_survey_constructed.dta

*

${out_tables}/sample_table.tex

*

9 ***************************************************************************************** 10 11

do "${do_tables}/sample_table.do"

12 13 ***************************************************************************************** 14 *

Table A3: Correlation between platform observations data and rider reports

*

15 *---------------------------------------------------------------------------------------* 16 *

REQUIRES: ${dt_final}/pooled_rider_audit_constructed.dta

*

17 *

CREATES:

*

${out_tables}/mappingridercorr.tex

18 ***************************************************************************************** 19 20

do "${do_tables}/mappingridercorr.do"

21 22 *****************************************************************************************

(Box continues on next page) CHAPTER 6: CONSTRUCTING AND ANALYZING RESEARCH DATA

143


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Appendix C: Research design for impact evaluation

33min
pages 215-231

Appendix A: The DIME Analytics Coding Guide

24min
pages 195-210

Appendix B: DIME Analytics resource directory

3min
pages 211-214

8.1 Research data work outputs

6min
pages 190-194

Chapter 8: Conclusion

1min
page 189

7.4 Releasing a reproducibility package: A case study from the Demand for Safe Spaces project

3min
pages 184-186

7.1 Summary: Publishing reproducible research outputs

8min
pages 172-175

7.3 Publishing research data sets: A case study from the Demand for Safe Spaces project

10min
pages 180-183

7.2 Publishing research papers and reports: A case study from the Demand for Safe Spaces project

8min
pages 176-179

Chapter 7: Publishing reproducible research outputs

1min
page 171

6.1 Data analysis tasks and outputs

3min
pages 168-170

6.8 Managing outputs: A case study from the Demand for Safe Spaces project

10min
pages 163-167

6.7 Visualizing data: A case study from the Demand for Safe Spaces project

4min
pages 161-162

6.6 Organizing analysis code: A case study from the Demand for Safe Spaces project

4min
pages 159-160

6.5 Writing analysis code: A case study from the Demand for Safe Spaces project

3min
pages 157-158

6.4 Documenting variable construction: A case study from the Demand for Safe Spaces project

4min
pages 155-156

6.3 Creating analysis variables: A case study from the Demand for Safe Spaces project

1min
page 154

6.2 Integrating multiple data sources: A case study from the Demand for Safe Spaces project

9min
pages 150-153

6.1 Summary: Constructing and analyzing research data

10min
pages 146-149

Chapter 6: Constructing and analyzing research data

1min
page 145

5.7 Recoding and annotating data: A case study from the Demand for Safe Spaces project

3min
pages 140-141

5.6 Correcting data points: A case study from the Demand for Safe Spaces project

4min
pages 138-139

5.5 Implementing de-identification: A case study from the Demand for Safe Spaces project

9min
pages 134-137

5.1 Summary: Cleaning and processing research data

7min
pages 122-124

5.4 Assuring data quality: A case study from the Demand for Safe Spaces project

7min
pages 131-133

5.3 Tidying data: A case study from the Demand for Safe Spaces project

7min
pages 128-130

5.2 Establishing a unique identifier: A case study from the Demand for Safe Spaces project

7min
pages 125-127

Chapter 5: Cleaning and processing research data

1min
page 121

B4.4.1 A sample dashboard of indicators of progress

12min
pages 113-117

4.4 Checking data quality in real time: A case study from the Demand for Safe Spaces project

2min
page 112

4.3 Piloting survey instruments: A case study from the Demand for Safe Spaces project

14min
pages 106-111

4.2 Determining data ownership: A case study from the Demand for Safe Spaces project

16min
pages 100-105

B3.3.1 Flowchart of a project data map

37min
pages 81-96

B2.3.1 Folder structure of the Demand for Safe Spaces data work

36min
pages 55-72

Chapter 4: Acquiring development data

5min
pages 97-99

Chapter 3: Establishing a measurement framework

18min
pages 73-80

Chapter 1: Conducting reproducible, transparent, and credible research

35min
pages 31-46

Chapter 2: Setting the stage for effective and efficient collaboration

18min
pages 47-54

I.1 Overview of the tasks involved in development research data work

18min
pages 22-30

Introduction

2min
page 21
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