Data Collection and Publication

Overview & Purpose Of Data Collection

The process of acquiring data for business decision-making, strategic planning, research, and other objectives is known as data collection. 

It’s an important component of data analytics initiatives and research: 

Data gathering that is effective offers the information needed to answer questions, examine business performance or other outcomes, and forecast future trends, actions, and scenarios. Data collection occurs at several stages in enterprises. 

When transactions are performed and data is entered, IT systems gather information on customers, staff, sales, and other aspects of corporate operations.   To obtain feedback from customers, businesses conduct surveys and monitor social media.

The first stage in data preparation is to gather data and prepare it for usage in business intelligence (BI) and analytics applications.

Data collecting is frequently a more specialised procedure for study in science, medicine, higher education, and other sectors, in which researchers devise and apply measures to collect specific kinds of data.  

CHALLENGES FACED IN DATA COLLECTION-

Collecting reliable and high-quality data can be difficult for businesses. Data gathering problems specific to individual groups are highlighted below:

1-Common data and demographic definitions should be collected-

According to data standards. Data definitions, standardised questions, and approved response alternatives are common components of established standards, and they help to ensure that data collection processes are consistent. For collecting administrative data, numerous national and state-level data standards are now in use.These rules are not always applied uniformly, and they may be inconsistent itself, which might affect data collecting comparability.Many specialist and non-disability specific support services, for example, collect data on disability based on National Disability Insurance Scheme , National Defence Academy,and state regulatory bodies definitions.

2- Complexity–

In some circumstances, such as for CALD (Culturally and Linguistically Diverse) and LGBTQ( Lesbian Gay Bisexual Transgender and Queer) communities, and for people with disabilities, adequate information about a person’s background cannot be determined from a single data item.When this is undertaken, people who face greater risks and impediments to getting services are frequently underrepresented.It also has the ability to cause confusion about many topics that others outside of specific communities may not completely comprehend. Putting different people and communities into a single ‘Transgender and queer’ group, or utilising the need for an interpreter as a marker of CALD groups, for example, fails to appropriately recognise and represent various communities, and compromises data integrity. 

3- Inadequate training-

Data collecting did not be the primary responsibility of front-line service and clinical workers, they may not be trained in this area. If employees aren’t trained or don’t understand why certain data is needed, they may be hesitant to ask the questions or ask them in a different way. A lack of understanding of how and why specific types of data should be collected can have a particularly negative impact on the priority communities addressed in this framework. Organizations may be hesitant to ask for information on sexual orientation or intersex variance, for example, because of the personal nature of the inquiry.

4- Quality control procedures are lacking-

Quality control procedures are lacking.Because there may be few opportunities to corroborate information with someone who has used a service, the data acquired at the outset cannot be verified.Furthermore, record-keeping systems vary in sophistication, and data quality is frequently dependent on the person entering the data accurately.Time may not allow staff to review material for completeness and gather missing data, depending on the resources available to an organisation.

5- Regular changes by the organisations –

Organisations that change their data collection methods and procedures must also consider the requirement to ensure that old data items are used in reporting.Many service providers, for example, are obligated to supply specific data fields on a regular basis in order to meet the needs of their funding agency. Furthermore, in some circumstances, these minimum requirements are set by The Reserve Bank of India rather than any other  government agencies.When upgrading data collections, another factor to consider is longitudinal analysis of service consumption based on common data items, as well as comparability with national data sets like the ABS’s ( Australian Bureau of Statistics) 

PUBLIC DATA ENTRY-

Public data entry is made available to citizens for registration by IGR ( Inspector General of Registration ) stamps and registration department of  Maharashtra state. It provides data entry for the document to be registered with the registration department.

MEANING OF PUBLICATION-

The act of publishing or making known to the general public, whether by words, writing, or printing; proclamation; divulgation; promulgation; as, the publication of the the data  by Open Government Data Platform; the gospel’s ;the National Informatics Centre and  the other publication organisation. 

TYPES OF PUBLICATION-

1-Articles in journals.

Journal articles can be found in a variety of publications, including trade magazines and academic journals.In comparison to other scientific publications like research reports, they are frequently shorter.Articles in journals.Scholarly journal articles are useful because they frequently present new study findings, making them beneficial to include in one’s own research.They can provide you with a good summary of previous study, major theories and methodologies in the area, similar to dissertations and research papers.

2-Books-

Books that provide an overview, such as university textbooks (course books) or books in which the author pursues his or her own theory.An opening chapter, which gives a fair summary of the subject, is frequently included in publications like this.There are also important references to previous studies and original papers to be found.Some academic presses specialise on books with chapters prepared by well-known experts in the topic.An editor selects, compiles, and reviews contributions, or they are sent out for review by other researchers in the same field.

3-Student theses –

Student theses are written by university students at the bachelor’s or master’s level. Student theses may not have the same scientific weight as licentiate and doctoral dissertations, but they may give you with recommendations for further sources, methodology, and working methods in the subject. Postgraduate students write dissertations in order to obtain a licentiate or doctorate degree. 

4-Reports-

Researchers might use reports to share information about ongoing research or a recently finished project.Reports are frequently produced by a university or research institution, and they are issued considerably faster than journal articles and books.Working papers, discussion papers, technical reports, and research reports are common names for these reports.

Conclusion

Surveillance systems can be successful regardless of the data type or how it is collected if the system’s implementers and end users understand the data’s and collection methodology limitations and incorporate that information into their interpretation methods.