This article assesses the difference between the concepts of ‘open data’ and ‘FAIR data’ in data management. FAIR data is understood as data that complies with the FAIR Guidelines – data that is Findable, Accessible, Interoperable and Reusable – while open data was born out of awareness of the need to democratise data by improving its accessibility, based on the idea that data should not have limitations that prevent people from using it. This study compared FAIR data with open data by analysing relevant documents using a coding analysis with conceptual labels based on Kingdon's theory of agenda setting. The study found that in relation to FAIR data the problem stream focuses on the complexity of data collected for research, while open data primarily emphasises giving the public access to non-confidential data. In the policy stream, the two concepts share common standpoints in terms of making data available and reusable, although different approaches are adopted in practice to accomplish these goals. In the politics stream, stakeholders with different objectives support FAIR data and from those who support open data.

Indonesia tends to be lower than men. In married women, decisions to participate in labor force are more complicated related to their duties at home. Economic difficulties is one of the reason for their participation. This research aims to look the relationship of household food insecurity that illustrates the economic difficulties and material hardship of the family to the woman labor force participation. Using 2017 Susenas survey, this paper assesed food insecurity from Food Insecurity Experience Scale (FIES). The results show that labor force participation in married women is 50,05 percent where most of the married women work in informal sector (60,31 percent). However, probit regression shows that tendencies of married women to participate into labor market higher with the severity of the food insecurity. Married women who experience severe food insecurity 6,3 point percent more likely to participate in the labor force than the one who has food security. But overall, education, husband's working status and type of residence are the strongest determinant of married women labor force participation.

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