<prompt> Hlalosa bohlokoa ba ho boloka boitsebiso lefapheng la saense ea data.nan  <response>: Instruction in English: Describe the importance of data curation in the data science field. . Response in English: Data curation is a crucial process in the field of data science as it involves organizing, cleaning, enhancing and preserving data in a manner that makes it readily available, understandable and usable for end-users. It requires the application of both technical and subject expertise to ensure data quality, accuracy, and consistency. This makes it important for several reasons:1. Improved data quality: Data curation ensures that errors, inconsistencies, duplications in datasets are resolved, hence improving the overall quality of data. This is important in building accurate models that can produce reliable results.2. Enhanced data usability: Curation provides context, documentation and other information that helps data scientists and analysts to understand and interpret data better. This, in turn, leads to more informed decisions and better research outcomes.3. Better data discovery: Curation makes it easier to discover and retrieve relevant data when it is needed, saving time and effort in data search and retrieval.4. Compliance with legal and ethical obligations: With data curation, data can be processed in a manner that is compliant with legal and ethical requirements such as data privacy and security regulations. This helps to build public trust and ensures that data usage is accountable and responsible.5. Preservation for future use: Curation ensures that data is preserved for future reference or use, making it possible to undertake longitudinal studies or comparisons. This helps to build a body of knowledge or evidence that can be used to inform future decisions and policies.In conclusion, data curation is an essential process in data science that helps to ensure that data is reliable, usable, and accessible. It plays a critical role in improving data quality, supporting data-driven decision-making, and facilitating better research outcomes. . Response in Sesotho: Phokotso ea data ke tsebetso ea bohlokoa lefapheng la mahlale a data kaha e kenyelletsa ho hlophisa, ho hloekisa, ho ntlafatsa le ho boloka data ka mokhoa o etsang hore e fumanehe habonolo, e utloisisehe le ho sebelisoa bakeng sa basebelisi ba ho qetela. E hloka tsebeliso ea botsebi ba botekgeniki le thuto ho netefatsa boleng ba data, ho nepahala, le botsitso. Sena se etsa hore e be sa bohlokoa ka mabaka a maloa: 1. Boleng bo ntlafetseng ba data: Tsebetso ea data e tiisa hore liphoso, ho se lumellane, ho pheta-pheta ho li-datasets ho rarolloa, kahoo ho ntlafatsa boleng ba kakaretso ba data. Sena ke sa bohlokoa ho aheng mehlala e nepahetseng e ka hlahisang litholoana tse tšepahalang. 2. Tsebeliso e ntlafalitsoeng ea data: Curation e fana ka maemo, litokomane le lintlha tse ling tse thusang bo-rasaense le bahlahlobisisi ba data ho utloisisa le ho hlalosa lintlha hamolemo. Sena, ka lehlakoreng le leng, se lebisa liqetong tse nang le tsebo e ngata le liphetho tse ntle tsa lipatlisiso. 3. Ho sibolloa ha data ho betere: Curation e etsa hore ho be bonolo ho sibolla le ho khutlisa data e nepahetseng ha e hlokahala, e boloka nako le boiteko ho batla le ho khutlisa data. 4. Ho ikamahanya le litlamo tsa molao le tsa boitšoaro: Ka ho hlophisoa ha data, data e ka sebetsoa ka mokhoa o lumellanang le litlhoko tsa molao le tsa boitšoaro tse kang lekunutu la data le melaoana ea tsireletso. Sena se thusa ho theha tšepo ea sechaba le ho netefatsa hore tšebeliso ea data e ikarabella ebile e na le boikarabelo. 5. Ho boloka bakeng sa tšebeliso ea nako e tlang: Curation e tiisa hore data e bolokiloe bakeng sa ho sebelisoa kapa ho sebelisoa nakong e tlang, ho etsa hore ho khonehe ho etsa lithuto tsa longitudinal kapa papiso. Sena se thusa ho theha sehlopha sa tsebo kapa bopaki bo ka sebelisoang ho tsebisa liqeto le maano a kamoso. Qetellong, tlhahlobo ea data ke tsebetso ea bohlokoa ho mahlale a data e thusang ho netefatsa hore data ea tšepahala, ea sebelisoa ebile ea fumaneha. E bapala karolo ea bohlokoa ho ntlafatseng boleng ba data, ho tsehetsa liqeto tse tsamaisoang ke data, le ho tsamaisa liphetho tse ntle tsa lipatlisiso. 