The article critiques the dehumanized approach adopted by certain leaders in rural census operations, highlighting how a lack of empathy and poor leadership negatively affect field teams and community relations. It argues that statistical work requires more than technical skills, demanding integrity, respect, and humanistic values to ensure that social welfare is genuinely served. This narrative is relevant to open data because the quality of public statistics depends heavily on the ethical conduct and human interactions of those collecting data. When data collection processes disregard the dignity of participants and field workers, it undermines trust in the resulting datasets. Ultimately, the piece emphasizes that accurate and useful open data relies on humane methodologies. By prioritizing respect and empathy alongside technical rigor, institutions such as the INE can produce more reliable information that truly reflects societal needs, fostering greater transparency and public confidence in official statistics.
Source:Published on 2024-12-25