Databases and database technology have become an essential component of everyday life in modern society. As databases are widely used in every organization with a computer system, control of data resources and management of data are very important. Database Management System (DBMS) is the most significant tool developed to serve multiple users in a database environment consisting of programs that enable users to create and maintain a database. Windows Distributed Internet Applications (DNA) architecture describes a framework of building software technologies together in an integrated web and client-server model of computing. This thesis focuses on development of a general database management system, for small and medium sized manufacturing enterprises, by using Windows DNA technology. Defining, constructing and manipulating institutional, commercial and operational data of the company is the main frame of the work. And also by integrating &ldquo / Optimization&rdquo / and &ldquo / Agent&rdquo / system components which were previously developed in Middle East Technical University, Mechanical Engineering Department, Computer Integrated Manufacturing Laboratory (METUCIM) into the SME DBMS, a unified information system is developed. &ldquo / Optimization&rdquo / system was developed in order to calculate optimum cutting conditions for turning and milling operations. &ldquo / Agent&rdquo / system was implemented to control and send work orders to the available manufacturing cell in METUCIM. The components of these systems are redesigned to share a unique database together with the newly developed &ldquo / SME Information System&rdquo / application program in order to control data redundancy and to provide data sharing and data integrity.

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Biodiversity surveys conducted by consulting firms generate valuable biodiversity data. However, the full potential of this data remains untapped without proper structuring and integration into a collaborative network of shared data. This thesis addresses the lack of studies exploring data management in biodiversity surveys and the specific requirements for data structuring. The objective of this Bachelor’s thesis is to introduce the concepts of data management in biodiversity surveys and collaborative data sharing, which have gained scientific popularity due to advancements in data-driven technologies and growing public interest in environmental sustainability. Using a qualitative and exploratory approach based on the Design Science Research paradigm, this research draws general conclusions on data management practices in biodiversity surveys and identifies the requirements for new data standards. The findings of this thesis serve as a starting point for ongoing efforts toward establishing a standardised structure for biodiversity survey data. Such a structure would enable meaningful insights through data-driven technologies and facilitate integration into a collaborative network of shared data. By addressing the gap in understanding data management and data standards in biodiversity surveys, this research contributes to the effective utilization of biodiversity data, ultimately supporting the achievement of sustainability goals. / Naturvärdesinventeringar utförda av konsultfirmor i Sverige genererar en betydande mängd biodiversitetsdata. För att utnyttja värdet av denna data fullt ut är strukturerad hantering och öppen samverkan och delning av data inom öppna data-ekosystem avgörande. Genom att organisera och standardisera datan på ett enhetligt sätt blir den mer användbar och kan bidra till att uppnå globala och nationella hållbarhetsmål. Trots behovet finns det brist på studier som fokuserar på datahantering vid Naturvärdesinventeringar och specifikt specificerar kraven för strukturerad hantering av data. Detta kandidatarbete introducerar ämnet datahantering från Naturvärdesinventeringar samt delning av data inom öppna data-ekosystem. Dessa ämnen har blivit alltmer populära inom forskningen på grund av framstegen inom datadrivna teknologier och det ökande allmänna intresset för miljömässig hållbarhet. Med en kvalitativ och utforskande metod baserad på Design Science Research-paradigmet drar denna forskning generella slutsatser om god praxis för datahantering vid Naturvärdesinventeringar samt identifierar krav som behöver uppfyllas för att kunna dela datan inom öppna data-ekosystem. Resultaten av detta arbete utgör en grund för fortsatt arbete mot att etablera en standardiserad struktur för biodiversitetsdata från Naturvärdesinventeringar. En sådan struktur skulle möjliggöra djupare insikter genom datadrivna teknologier samt underlätta integreringen av data inom öppna data-ekosystem. Genom att belysa kunskapsbristen inom datahantering och datastandarder vid Naturvärdesinventeringar bidrar detta arbete till en effektivare användning av biodiversitetsdata och stödjer därmed arbetet med att uppnå hållbarhetsmålen.