...[[Master Dataset|dataset]]. If these errors are made systematically by the data collection team, they can induce biases of unknown size and direction into
...tion; it ensures timely, consistent and accurate [[Primary Data Collection|data collection]].
3 KB (364 words) - 17:01, 8 August 2023
...t for any investigation, and in some cases (such as administrative program data), it is the only source which covers the full population needed to conduct
...ories of data - [[Primary Data Collection|primary data]], and '''secondary data'''.
3 KB (444 words) - 15:42, 16 August 2023
...the '''survey'''. This is important to ensure [[Monitoring Data Quality | data quality]].
...go back and re-interview the respondent. Other [[Monitoring Data Quality | data quality]] checks depend on uniquely identifying ID [[Variable Construction
4 KB (641 words) - 13:51, 9 August 2023
...lation for an '''impact evaluation'''. Similary, in some cases, monitoring data can help assess who received the [[Randomized_Evaluations:_Principles_of_St
...[[Remote Sensing|sensors]], [[Telecom Data|telecom]], and [[Crowd-sourced Data|crowd-sourcing]].
8 KB (1,201 words) - 17:14, 14 August 2023
...data, [[Administrative and Monitoring Data | administrative and monitoring data]], etc.
...omponent of using a [[Data Map|data map]] to organize [[Research Data Work|data work]].
13 KB (1,902 words) - 20:27, 3 August 2023
...They are also a useful tool to communicate to the rest of the team, and [[Data Documentation|document]] how the '''analysis datasets''' are created using
...arch/dime/data-and-analytics DIME Analytics] to organize 3 main aspects of data work:
7 KB (1,090 words) - 20:34, 14 August 2023
...e various components of your data work in order to increase the quality of data, as well as of research.
...tart creating a data map is before starting with [[Primary Data Collection|data collection]].
9 KB (1,341 words) - 14:14, 14 August 2023
...evaluation, responsible for leading the evaluation design, [[Data Analysis|data analysis]], and the final academic paper. They are also responsible for the
...ng the team on all impact evaluation related activities and supporting the monitoring and evaluation (M&E) staff.
5 KB (704 words) - 20:44, 9 August 2023
...g, [[Administrative and Monitoring Data | administrative]], and secondary data. DIME strongly recommends using the DataWork folder from the beginning of t
...file]], Survey Round folders, a Survey Encrypted Data folder, and a Master Data folder. It may also contain additional documentation (i.e. readme) to help
8 KB (1,155 words) - 14:31, 12 June 2019
..., The DIME Wiki details the latest technological advances in electronic '''data collection''' in a manner suitable for users of varying levels of expertise
...alytics team, an initiative aimed to provide [[Data Quality Assurance Plan|data quality assurance]] to all DIME '''impact evaluations'''. The Wiki is funde
2 KB (235 words) - 18:11, 7 August 2023
...ment for [[Procuring a Survey Firm | survey firm procurement]] and ongoing monitoring of '''survey firm''' performance. This page suggests the scope of work for
# Manage and oversee household '''survey''' [[Primary Data Collection|data collection]]
6 KB (902 words) - 14:45, 11 August 2023
...ire Programming | programming]]. These checks should be run every time new data is received, to provide real-time information to the '''field team''' and '
...cks (HFCs)''' are an important aspect of the [[Data Quality Assurance Plan|data quality assurance plan]].
9 KB (1,394 words) - 18:29, 28 June 2023
...n]], and [[Monitoring Data Quality#Real-Time Data Quality Checks|real-time data quality checks]]. Each of these steps allow the '''research team''' to iden
...ty''' in the field, and is part of the wider [[Data Quality Assurance Plan|data quality assurance plan]].
22 KB (3,200 words) - 18:32, 28 June 2023
...ning]], [[Data Analysis | analyzing]], or [[Publishing Data | publishing]] data.
...a Collection|data collection]] or [[Monitoring Data Quality | monitoring]] data.
11 KB (1,543 words) - 14:00, 17 August 2023
...asons behind low quality data and outlines key processes to include in the data quality assurance plan.
*Data can be low quality because of respondent fatigue, enumerator error, or poor
5 KB (804 words) - 18:43, 16 August 2023
...|principal investigators (PIs)]] oversee the overall [[Preparing for Field Data Collection|preparation]] and finalize the [[Survey Protocols|survey protoco
! style="height:50px; width:250px; text-align:center;"| Stage 3 - Data-focused Pilot
8 KB (1,160 words) - 18:50, 14 August 2023
...s can often be expensive. Secondly, they are a great option for collecting data during emergencies or in conflict areas while still retaining the personal
...llection--A9CFqkgXd2C4oV08Co1dwlPBAg-DVhtGiokwboliGBqmjYfS guide on remote data collection].
15 KB (2,031 words) - 19:58, 5 April 2022
...iefieldkit]]</code> created by [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics]. The <code>iecompdup</code> command helps the
...>, which has been developed by [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics].
11 KB (1,642 words) - 19:57, 15 August 2023
...roject, so that the team will not have to search through communications or data archives for small details at [[Dissemination|publication]] time.
* Methods of [[Sampling|sampling]] or other sources of data about selecting the [[Unit of Observation|units of observation]] that were
7 KB (988 words) - 18:33, 14 August 2023
...ects of the '''data collection''' to [[Data Quality Assurance Plan|improve data quality]].
...y Data Collection|data collection]], and [[Monitoring Data Quality|monitor data quality]].
10 KB (1,515 words) - 19:49, 16 August 2023
